writing an essay about "the effect of increasing minimum wage on employment rate in South Korea", 8 pages, economic related, must be original.
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea Searching for the Sources of Difference 일본과 한국의 최저임금 설정 메커니즘 비교 : 차이의 원인 탐구
저자
(Authors)
Michio Nitta, Jongwon WOO
출처
(Source)
산업관계연구 29(1), 2019.3, 107-132(26 pages) Korean Journal of Industrial Relations 29(1), 2019.3, 107-132(26 pages)
발행처
(Publisher)
한국고용노사관계학회 Korea Industrial Relations Association(Kira)
URL http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08011537
APA Style Michio Nitta, Jongwon WOO (2019). Comparing Minimum Wage Setting Mechanisms in Japan and Korea. 산업관계연구, 29(1), 107-132
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 107
The paper examines developments on minimum wage setting mechanisms (MWSM) in Japan and Korea in recent years, focusing on institutions, processes and outcomes of MWSM. Such attributes of the institution are examined as the basic minimum wage setting structures, the constitutions and deliberation procedures of the consultative bodies, and the factors considered in deciding annual minimum wage deliberation.
Some similarities are found. Both countries heavily rely on tripartite committees at the national level. Besides, both governments try to influence minimum wage setting procedures by indicating higher minimum wage is desirable. Contrarily, some differences are discovered. One difference is shown in the process of MWSM: it is much tougher in Korea than Japan. Another difference is observed in the outcome of MWSM: the minimum wages have increased much faster and higher in Korea than in Japan. From a system perspective, the differences may be related to what factors minimum wage setting organizations consider. While income distribution is
産 業 關 係 硏 究
第29卷 第1號, 2019. 3. pp.107~132 ⓒ 韓 國 雇 傭 勞 使 關 係 學 會
38)
Comparing Minimum Wage Setting Mechanisms
in Japan and Korea: Searching for the Sources
of Difference
Michio Nitta*․Jongwon WOO**
논문접수일 : 2019년 2월 1일, 심사의뢰일 : 2019년 2월 1일, 심사완료일 : 2019년 2월 27일 * Professor Emeritus, Institute of Social Science, The University of Tokyo, [email protected] ** Professor, Graduate School of Humanities and Social Sciences, Saitama University,
[email protected] *** Two referees’ comments on an earlier draft are gratefully acknowledged. Coversations with Professor
Yongjin Nho during the preparation of this article are appreciated as are those with Chair Dionne Pohler and Discussant Teiichi Sekiguchi during the 2018 ILERA.
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108 産業關係硏究 제29권 제1호
one of the important factors to be considered in Korea, it is not the case in Japan. It seems that the Korean MWSM is assigned a wider role to reduce income gap among workers, while the Japanese counterpart is allowed to focus more on specifically low wage group of workers.
The authors remind people of policy circles of the importance of wider perspective in examining performance of minimum wage policy. A minimum wage policy may produce expected results under certain circumstances and may not under other conditions. In order to reach a conclusion, one needs to consider wide range of related policies besides economic/social factors.
▶Keywords: minimum wage setting mechanisms; institutions,
processes and outcomes of MWSM; factors
considered in deciding annual minimum wage
deliberation
Ⅰ. Institutionalist Approach to Minimum Wage
This paper examines developments on minimum wage setting mechanisms, MWSM in
short, in Japan and Korea in recent years. The studies on minimum wage have tended
to focus on the employment effect of the government regulation to the competitive labor
market (Neumark, Salas, & Wascher, 2014). However, assuming the labor market
competition is imperfect, this perspective on minimum wages is “too narrow” (Kaufman,
2010). Kaufman asserts in the article that the purpose of the minimum wage is broader.
The purpose includes eliminating low labor standards, preventing unrestrained competition
in labor markets, and so on. From this institutionalist prospect, Kaufman insists that the
benefits and costs of a minimum wage vary not only by economic conditions including
labor market situation, but also by the “breadth, depth, and structure of the labor market
regulatory regime.”
The research question of this paper is whether different institutions of MWSM in Japan
and Korea lead to different processes and outcomes and if the answer is yes, how. To
answer the question, the authors’ basic premise follows the institutionalist labor and
employment research, originally provided by Commons (e.g. Commons, 1924) and
recently rethought by Kaufman (e.g. Kaufman 2010 above). Upon taking account of
improving labor standards as an important purpose of the minimum wage, this paper
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 109
argues institutions matter when MWSM operate to produce outcomes, i.e. certain levels
of minimum wage.
The basic framework of the study is shown in Figure 1. Though Kaufman said the
“breadth, depth, and structure of the labor market regulatory regime” might be important,
he did not incarnate the contents of the regime. In the discussion of ILO, for instance,
the difference of the minimum wage scheme between one based on direct government
regulation and the other supported by indirect collective bargaining was emphasized (ILO,
2008). However, even in that case, the structure/function of the government regulation and
the impact of the government regulation have not been revealed clear beyond that there
is a difference in composing the regulatory body among countries.
In examining the role of regulatory regime and its impact on economic conditions, the
authors set three constituents of MWSM: institutions, processes and outcomes. The
attributes of institutions the authors regard important are 1) basic minimum wage setting
structures (nation-wide or regional/sector-base, etc.) and decision making mechanisms
(political decision vs. reliance on a consultative body, etc.), 2) constitutions and
deliberation procedures of the consultative bodies that play crucial roles in MWSM, 3)
factors the consultative bodies are expected to consider in deciding annual minimum wage
deliberation, which are related to social norms. Those attributes would likely to affect
minimum wage setting processes.
The processes would also be influenced by various environmental factors, such as
economic conditions, political climate, social expectations and cultural traditions. While
admitting these factors’ influences, however, the paper tries to find out how the different
institutional arrangements influence the minimum wage setting processes in two countries
based on qualitative research methods of detailed case studies. The authors collect data
and closely observe developments in how MWSM work in two countries.
And finally, the paper analyzes how the distinct nature of the minimum wage setting
processes lead to some differences of outcomes in two countries. With regard to outcomes,
the study focuses on the labor standard aspect on considering that the most important
purpose of minimum wage is to elevate the labor standard of low-wage earners, though
the employment and the income equality are the other important aspects of the minimum
wage’s outcome. The paper especially examines the minimum wage’s effect on the
magnitude of directly influenced labor force, and its impacts on the overall wage
distribution. The study will not make analysis on the employment effects. However, it
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110 産業關係硏究 제29권 제1호
Figure 1. Minimum Wage Setting Mechanisms
may be suspected that if the wage effects are large, they can influence employment levels
in one way or other.
In studying actual performances of minimum wage, it is desirable to conduct cross
national comparison since normally there is only one minimum wage system in a country
and the number of observations to be analyzed would be limited (Neumark & Wascher,
2004). Using case studies of Japan and Korea, this paper approaches the attributes and
performances of minimum wage.
Ⅱ. Current State of Discussions in Japan and Korea
There have been fairly large number of studies on minimum wage in each country.
However, existing researches focus primarily on two aspects. A group of studies focus on
institutional aspects of the minimum wage system, which include minimum wage
deliberation structure/determination procedure and legal/social norms that affect MWSM.
Tamada (2009), Kanki (2011), Iwata (2010), Tamai (2016), Ogasawara (2018) in Japan,
and Jung, Ahn, and Pak (2003) in Korea investigated the institutional aspects of minimum
wage system in each country.
Another group of studies primarily focus on the economic effects of minimum wage,
especially the impact on employment. Regarding the influence of minimum wage on
employment, decisive study results have not been yet obtained worldwide. For instance,
Addison and Ozturk (2012), and Neumark, Salas, and Wascher (2014) found that the
minimum wage had a negative impact on employment. On the contrary, Allegretto, Dube,
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 111
and Reich (2011), and Leonard, Stanley, and Doucouliagos (2014) asserted that the
negative effects of the minimum wage on employment might be insignificant.
In Japan, Tachibanaki and Urakawa (2006), Abe and Tanaka (2007), Kawaguchi and
Yamada (2007), Ohtake, Kawaguchi, and Tsuru ed. (2013), JILPT (2016) examined the
effects of the minimum wage especially on particular employee groups such as part-timers
and youth. In Korea, Kim, D. (2012), Lee and Hwang (2016), Hong (2018), Kim, Y.
(2018) investigated the effects of the minimum wage especially on the employment of
low-income earners. The results obtained by those studies are divided. Some studies like
Ohtake, Kawaguchi, and Tsuru ed. (2013), and Kim, D. (2012) suggest negative effects
on at least some groups of workers. On the contrary, studies like Tachibanaki and
Urakawa (2006), and Kim, Y. (2018) do not find such effects. It is too early to draw
conclusion from those econometric studies particularly because of scarcity of panel data
and difficulties to examine the impacts of sharp rise of minimum wages in recent years.
In this study the authors pay special attention to a critical problem: the relationship
between institutional aspects and economic effects that has not been fully explored. If the
structure/procedure and the norms that compose a system differ, it should affect how the
system perform and bring about particular set of results. The institutional aspects and
economic effects of minimum wage systems may be intertwined, and the difference in the
former may produce some different results. Comparative study is a method that can be
utilized to elaborate the types of structure/function nexus.
There have been small numbers of cross-national studies of minimum wage systems.
For instance, Neumark and Wascher (2004) collected data on minimum wage from 20
countries from 1976 to 2000 and did an econometric analysis. Japan is included, and it
is concluded that minimum wage adversely affected youth employment in Japan. The
authors do not make an in-depth evaluation on this study because the focus is too narrow
for their research purpose. A government who searches for a better minimum wage system
would not find a useful advice in this type of study since the only lesson to be learned
would be that minimum wage is harmful for the economy and employment, and all the
government should abolish it as soon as possible. Most of developed countries have a
minimum wage system and it seems most of them will continue to exist for a while. The
authors argue that there is an acute need for knowledge on minimum wage, for instance,
how various types of minimum wage systems bring about particular set of results.
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112 産業關係硏究 제29권 제1호
Ⅲ. Basic Data Showing the Trends and the Differences
Figure 2 and Figure 3 show the transition of GDP per capita increase rates, average
wage increase rates, and minimum wage increase rates in Japan and Korea respectively
after 2000. In the case of Japan, the rate of minimum wage increase is the weighted
average of 47 local minimum wage increase rates.
Each figure compares the minimum wage increase rate to the average wage increase rate
by the size of establishments. In Japan, on average of 2000-2017, the increase rate of
minimum wage is 1.5%, higher than not only -0.5% of the establishments of 5-29
employees but also -0.4% of the establishments of 30 or more employees. The gap between
minimum wage increase rate and average wage increase rate has been within the range of
roughly 2%. Similarly, the average increase rate of minimum wage during 2000-2017 is
8.4% which exceeds by about 3.0% that (5.0%) of the establishments of 5 or more
employees, or that (5.3%) of the establishments of 10 or more employees in Korea.
A difference between Japan and Korea is shown in the comparison of minimum wage
increase rate to the GDP per capita increase rate. In Japan, on average of 2000-2017, the
gap between two rates is 1.2%, which means the minimum wage has increased more
speedily than GDP per capita. However, before the amendment of minimum wage law in
2007 that will be explained later, the average gap between two rates during 2000-2007
was lower than 0.5%, which implies the minimum wage increase had been relatively
restrained. Contrarily, the increase rate of minimum wage in Korea has significantly
surpassed that of the GDP per capita, except 2010 when the quick recovery from
world-wide recession occurred. On average of 2000-2017, the minimum wage increase rate
is 7.3% which is higher by 2.6% than the GDP per capita increase rate of 4.7%.
Besides the gap, one more interesting trend is that the increase rate of minimum wage
seems to move independently from economic conditions shown in the GDP increase rate
in both countries. In Japan, that trend started in 2007 when minimum wage began to be
taken up as an important policy tool and the Minimum Wage Act was revised. In Korea
that trend seems to have started after the economic crisis of 2008-2009.
In sum, Figure 2 and Figure 3 imply that there exist not only some similarities but also
some differences of the situation on minimum wage in its institution and operation
between Japan and Korea.
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 113
Figure 2. Transition of GDP Per Capita Increase Rate and Wage Increase Rates in Japan during
2000-2017
Sources: Cabinet Office, “National Accounts of Japan”; Ministry of Health, Labour and Welfare (MHLW), “Monthly Labour Survey”.
Figure 3. Transition of GDP Per Capita Increase Rate and Wage Increase Rates in Korea during
2000-2017
Sources: Bank of Korea, “National Accounts”; Ministry of Employment and Labor (MOEL), “Report on Labor Force Survey at Establishments”.
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114 産業關係硏究 제29권 제1호
When one makes observations and draw a comparison on minimum wages between two
countries, it is necessary to consider general economic conditions in the countries. For
instance, there may be an argument that such a comparison above is not appropriate
because a big difference in economic development stage exists between Japan and Korea.
During “the lost 20 years,” Japan experienced very low GDP growth with low or even
minus CPI rate. In contrast, Korea enjoyed relatively high economic growth with
comparatively high CPI rate during that period, although the GDP growth rate fell after
the 2007-2008 global financial crises.
An answer to this question is that the movement of minimum wage increase rate started
adrift from the movement of GDP growth rate in mid-to-late 2000s in two countries. It
suggests we need to focus more on other factors than general economic conditions if one
wish to understand the movement of minimum wage increase rate and MWSM that have
produced such trends.
Another answer to the question can be found in Figure 4. It shows the transition of
GDP per capita increase rate and wage increase rates in Japan during 1981-1991 when
Japan enjoyed higher economic growth. On average of 1981-1991, the minimum wage
increase rate was 4.0%, while the wage increase rate of the establishments of 30 or more
employees was 3.5%, and the GDP per capita increase rate was 5.7%. According to this
data, the absolute minimum wage increase rate during this period was certainly higher
than that of minimum wage during 2000-2017 shown in Figure 2, however the relative
increase rate of minimum wage, compared to the wage increase rate of the employees
working for the establishments of 30 or more, was not high. It was even very low,
compared to that of GDP per capita. One need to find some factors other than economic
conditions that would help him or her to understand the backgrounds of relatively low
increase rates of minimum wage in Japan during the period.
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 115
Figure 4. Transition of GDP Per Capita Increase Rate and Wage Increase Rates in Japan during
1981-1991
Sources: Cabinet Office, “National Accounts of Japan”; Ministry of Health, Labour and Welfare (MHLW), “Monthly Labour Survey”.
Ⅳ. Who Set the Minimum Wage and How?
In Japan, there are two kinds of minimum wage. One is the regional minimum wages,
and the other is industry/occupation specific minimum wages. The former, which are
decided by 47 prefectural minimum wage councils and are applied to all workers within
each prefecture regardless of industry and occupation, are more important in the coverage
and impact than the latter that are only applied to a particular group of workers in some
industries or occupations. Upon considering the target levels for annual minimum wage
increase set by the Central Minimum Wage Council (CMWC), each Local Minimum
Wage Council (LMWC) of 47 prefectures discusses and decides its own regional
minimum wage every year.
In contrast, only a single, nationwide minimum wage has been established in Korea,
while it is possible from the legal point of view to set a minimum wage specific to an
industry. Every year, the (National) Minimum Wage Commission (MWC) convenes and
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116 産業關係硏究 제29권 제1호
decides the nationwide minimum wage.
Japan and Korea have a similarity in minimum wage setting procedures. Both rely on
independent tripartite bodies which are composed of members representing public interests
(working with government), employer representatives, and worker representatives. In
Japan, the CMWC, which plays a decisive role in setting annual target increase level for
regional minimum wage discussions, consists of 18 members who are commissioned by
the government. Worker representatives and employer representatives are nominated by
each organization. In Korea, similarly, the MWC consists of 27 members. The labors, the
employers, and the government nominate 9 members respectively, although the members
are finalized and confirmed by the government.
If one look into deliberation procedures of those bodies, however, he or she will find
significant difference between two countries. In Japan, in the case of LMWC, in which
majority vote is used, at least two-thirds of the total council members, or one-third of each
group of members representing public interests, employers, or workers are needed in order
to make a decision. Proceedings of the council shall be decided with a majority of those
attending the meeting, and if the number of agreement and opposition is equal, the
chairperson decides. Actually, the public interests representatives play an adjuster role
between the employer side and the worker side. In the deliberation of minimum wage
setting meetings, the public interests representatives led by chairperson strive to reach a
unanimous result as much as possible.
In the more important CMWC deliberation, it does not use majority vote. At a
subcommittee to discuss annual target increase level, worker representatives and employer
representatives do not reach consensus but agree for public interests representatives to
present a report on annual target increase levels for CMWC general meeting. A practice
has been that CMWC general meeting accept the subcommittee report unanimously.
In Korea, it is similar that at least one-third of each group of members representing
employers or workers are needed in order to make a decision at the MWC. However, it
is different from Japan that this provision shall not apply to cases where worker
representatives or employer representatives fail to attend without justifiable reasons even
after the issuance of two or more summons. As this provision being misused, in fact, there
have been a lot of cases where worker members or employer members refuse to join the
meeting if their opinion is not accepted. Besides, unlike in the case of CMWC in Japan,
making effort to reach a unanimous (compromise) result has not been strongly pursued.
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 117
Instead, the MWC relies on the “concurrent vote of a majority of members present”.
The process of determining the minimum wage for 2019 shows the characteristic of
Korea in a clear way. At the 15th general meeting of the MWC on July 14, 2018, as
all the employer representatives and some worker representatives refuse to attend the
meeting, only a part of worker representatives and the members representing public
interests voted for final decision among the workers’ proposal (8,680 won, 15.3% higher
than the previous year) and public interests representatives’ proposal (8,350 won, 10.9%
higher than the previous year). The public interests representatives’ proposal received 8
votes while the workers’ proposal received 6 votes. Thus, public interests representatives’
one won the vote.
To tentatively conclude, even though it is common that tripartite bodies are in the
center of minimum wage setting in both countries, the negotiation process of determining
the minimum wage in those bodies is much tougher in Korea than in Japan. While the
compromising way of Japan has brought the moderate increase of the minimum wage, the
conflicting way of Korea has resulted in a sharp hike in the minimum wage level. We
need to examine the relationships between the processes and results of annual minimum
wage negotiations in two countries.
Ⅴ. Who Represent Workers’ Interests?
Regarding worker representatives in both countries, the representatives of national
centers of labor unions are mainly invited. The relevant provisions of Japan and Korea
say that the Ministry shall ask for relevant labor union centers to recommend a candidate
in order to appoint a member representing the workers at the Council/Commission.
However, there are some differences in how worker representatives are appointed. One
is that only one big center participates in the Council in Japan (There is a smaller center
but it does not send a representative to any of the Local and Central Councils), whereas
two major centers occupy seats in the Commission in Korea. In Japan, all of six seats
of worker representatives are occupied by the Japanese Trade Union Confederation
(JTUC-RENGO). In Korea, of the nine seats of worker representatives, five are allocated
to the Federation of Korean Trade Unions (FKTU) and four to the Korean Confederation
of Trade Unions (KCTU). FKTU and KCTU are not only different in vision and policy,
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118 産業關係硏究 제29권 제1호
but they also compete with other to secure more union members or supporters. It means
that the two unions may compete for wider coverage, and/or speedier increase, and/or
higher level of minimum wage. Actually, in the deliberation process of the minimum wage
for 2019 year, KCTU has chosen the way of refusing to attend the commission meeting,
due to the recent amendments to the minimum wage law, which, they claim, bring
disadvantages to some workers.
Another difference is that the mainly traditional union leaders discuss the matters in the
Council in Japan, whereas ‘new type’ worker representatives begin to voice their own
interests in Korea. In Japan, the worker members of the Council seem to represent the
interests of traditional unions, though a member nominated from UA Zensen is taking the
charge of the Department for Part-Time Workers at UA Zensen. In Korea, except seven
members from traditional unions, two members from new type worker organization are
participating the Commission: one from the “Korean Contingent Workers’ Center”
(nominated from FKTU) which tries to protect the rights of non-regular workers and
promote the unionization of those workers; and the other from the “Youth Community
Union” (supported by KCTU) which asserts itself the first ‘generation-based’ union in
Korea.
To summarize, the criticism that the interests of low-income earners like non-regular
workers, female workers, and young workers have not been sufficiently represented in the
minimum wage council/commission is harsher in Korea than in Japan, and participation
of various voices in the deliberation processes may make negotiation more complicated
and may affect the results reached. In the end, the gap may become wider between the
moderate increase in Japan and the sharp hike in Korea, although this outcome of
procedural difference has not to be over-valued.
Ⅵ. What Factors are to be Considered in Revising
Minimum Wage Levels and How?
In Japan, the Article 9 of Minimum Wage Act says the regional minimum wages shall
be set in consideration of living expenses of workers, wages of workers, and ordinary
employers’ ability to pay in the region. In Korea, the Article 4 of Minimum Wage Act
says the minimum wage shall be determined taking into account the cost of living of
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 119
workers, the wages of similar workers, the labor productivity and the distribution of
income, etc.
Relating to the criteria for calculating an appropriate minimum wage level, both
countries commonly consider living expenses and current wage levels. However, Japan
seems to place more importance on the wage payment ability of ordinary employers.
While employer representatives occasionally insist that ability to pay can best be appraised
by added value, the kind of data is not available in a timely way for an annual
negotiation. Thus, traditionally, actual wage increase rate of workers in small businesses
surveyed annually just before deliberation processes start in June has been regarded as the
most important indicator in the sense that it reflects both demand side (payment ability)
and the supply side (living expenses of workers). Wages of small business sectors were
stagnant in the survey, so were minimum wages closely linked to this data for a long
time.
In the meantime, “Working Poor” problems came to the fore in Japan in early 2000s,
particularly related to increasing number of ‘non-regular’ workers. In order to cope with
the problems, the Article 9 of Minimum Wage Act was amended in 2007. In the new
clause, “consistency with public assistance policies” shall be taken into account when
living expenses of workers are considered. The idea was that minimum wages should not
be less than the public assistance level in order that workers can maintain the minimum
standards of healthy and cultural living. Even though the difficulties in comparing levels
of public assistance (basically supporting family expenses per month) and minimum wage
levels (basically hourly wage for an individual worker) exist, some ways of calculation
measures were agreed upon in CMWC and the new clause was put into practice.
Triggered in part by this amendment, the degree of minimum wage increase got
significantly higher than before, as seen in Figure 2 above. As the minimum wages in
metropolitan areas such as Tokyo have risen faster and higher because public assistance
levels were higher in those areas, the gap between minimum wages in metropolitan areas
and non-metropolitan areas has also expanded.
After the effects of 2007 amendment were absorbed and some levels of parity were
achieved, more of a political pressure to increase minimum wages came to play important
role. Both conservative government of LDP-led coalition and progressive
middle-of-the-road government led by DP tried to influence minimum wage deliberation
processes and those pressures have clearly played an important role in the higher increases
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120 産業關係硏究 제29권 제1호
of minimum wages in late 2000s and 2010s as is observed in the figure above. The
governments moved to the direction to ameliorate uneasiness brought about by increasing
income gaps particularly related to regular versus non-regular divisions in the labor
market.
By contrast, Korean minimum wage systems take income distribution more directly into
consideration. In 2005, the Minimum Wage Act was amended and such a new criterion
as the improvement of income distribution was added to the bases of minimum wage
setting. After 2008, the MWC has utilized two indicators for income distribution rate. One
is the ratio of the first decile worker wage relative to the fifth decile worker wage, and
the other is the ratio of the minimum wage relative to the fifth decile worker wage. In
2015, the MWC decided to add the third indicator: the ratio of the minimum wage relative
to the average wage. Although the third indicator has not been used until the deliberation
process of 2018, it shows that the factor of income distribution has been very seriously
considered. Actually, the component of income distribution improvement has occupied a
considerable proportion of the minimum wage increase.
Interestingly, in both Japan and Korea recently, the economic policy considerations have
come to influence the level of the minimum wage. Both Abe government in Japan and
Moon government in Korea think that expansion of domestic demand is necessary for
economic growth, and higher increase of minimum wages can be a useful measure of
boosting domestic demand.
In the “Basic Policies on Economic and Fiscal Management and Reform 2018” decided
on June 15, 2018, for instance, the Abe government stated: “the government will raise
the minimum wage with an annual rate of around 3% while paying attention to the
nominal GDP growth rate.” Abe government added that in order to develop an
environment where small businesses can cope with higher hurdles of increased minimum
wage, it would implement consultation programs to improve productivity and profitability
of small businesses.
Similarly in Korea, Mr. Moon won the 2017 presidential election with the vision of
income-led growth. As an election pledge, Mr. Moon promised: "we will increase the
current minimum wage (hourly wage) to 10,000 won by 2020”. Soon after the
inauguration of new president, the MWC increased the minimum wage for 2018 to 7,530
won, 16.4% higher than previous year. And the MWC increased the minimum wage for
2019 to 8,350 won, 10.9% higher than current year. As of the bases of the determination
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of the minimum wage for 2019, the MWC provided four indicators: the wage increase
rate (3.8%), the decline of minimum wage due to the amendment of the Act (1.0%), the
change of economic variables (1.2%), and the income distribution improvement (4.9%).
A problem caused by this rapid minimum wage increase is that SMEs began to complain.
To cope with the complaint, Moon government has implemented policies to subsidize part
of the minimum wage increase for SMEs that hire workers and pay for their social
insurance contributions.
Although Japan and Korea are similarly targeting the economic growth based on
domestic demand and reduced social gaps in the labor market, Korea more focuses on the
redistribution of income than Japan, which can be considered as one of the main factors
that have made the speed and rate of minimum wage increase in Korea faster and higher
than in Japan.
To summarize, the differences in the factors to be considered in deliberation of
minimum wages might be one of important causes for differences in how the deliberation
processes are managed and also the differences in the achieved results in Japan and Korea.
In Japan, emphasis is placed more on the business payment abilities, while it is placed
more on income redistribution in Korea. The differences of emphasis between two
countries might be instrumental in an important way to bring about different results, the
moderate increase of minimum wage in Japan compared to its sharp increase in Korea
as well as relatively stable and compromising deliberation processes in Japan and tough
ones in Korea.
Ⅶ. What are the Effects of Minimum Wage Hike?
Relating to the direct/indirect effects of minimum wage, it is often said that there is
a negative effect of minimum wage on employment, though its real effect is not clear and
its accurate measurement is difficult. Here, the authors try to examine the effects of
minimum wage increase over various kinds of wages. If one finds those effects
significantly big, it is more likely that the minimum wage increase policies would have
significant impacts on economy as a whole. Although both Japan and Korea have
constantly raised the level of minimum wage in recent years, it is natural to assume that
the direct impact of minimum wage increase must have been greater in Korea than in
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122 産業關係硏究 제29권 제1호
Japan, because of much higher hike in the former.
Figure 5 and Figure 6 show the transition of two indicators that represent the impacts
of minimum wage hike on wages in Japan and Korea. This study introduces not one but
two figures because estimating the minimum wage hike effects is not easy and each
government actually suggests two indicators to measure the effects. It is suspected that
the true picture may be in the middle of the two figures. Each figure shows two ratios.
One is the ratio of workers paid less than already revised minimum wages (hereinafter
referred to as ratio 1), and the other is the ratio of workers who will be paid less than
revised minimum wages after the revision (hereinafter referred to as ratio 2). Ratio 1
indicates to what extent the workers are actually under the situation of law violation, and
Ratio 2 indicates to what extent the workers will be directly influenced by raising the
minimum wages.
There is one thing to be aware of in comparing two countries by these figures. On one
hand, in the Japan data of Figure 5 (hereafter F5J), the workers working for small
businesses which hire less than 30 workers in commercial and service sectors and less
than 100 workers in manufacturing sectors are counted, based on the Basic Survey on
Minimum Wages. However, in the Japan data of Figure 6 (hereafter F6J), the workers of
all private businesses (including big companies) other than workers hired by very small
businesses with less than 5 persons are counted, based on the Basic Survey of Wage
Structure. Since smaller companies tend to pay less, there is a possibility that F5J may
be over-valued and F6J under-valued to a whole picture.
On the other hand, in the Korea data of Figure 5 (hereafter F5K), all kinds of workers
are counted, based on the Economically Active Population Survey which makes use of
household-unit samples. However, in the Korea data of Figure 6 (hereafter F6K), all the
workers working for businesses, except for self-employeds, are counted, based on the
Survey on Labor Conditions by Employment Type which makes use of enterprise-unit
samples. Since the coverage of ‘workers’ is wider and as a result the pay amount reported
by household survey tends to be less than that reported by enterprise survey, there is a
possibility that F5K may be over-valued and F6K under-valued to a whole picture.
As of Ratio 1, both of F5J and F6J have been lower and more stable than those of
Korea. The results may show law enforcement is more rigorous in Japan than in Korea.
They may also show that small business in Japan are in better positioned in the economy
and can endure rising minimum wages. Or they may just show that much higher pace of
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minimum wage increases have put small businesses in Korea in a very difficult situation
to neglect minimum wage regulations. Whatever were the most influential factors, the data
suggest some problems to Korean government which tries to propel income of workers
and macro-economy by using minimum wage policies.
As of Ratio 2, Japan and Korea data show that they are all increasing. However, those
of Korea have been higher and increasing faster than those of Japan, which means that
a substantial number of small businesses in Korea are under pressure of the minimum
wage increase.
Figure 5. Transition of the Ratio of the Workers Paid Less and to be Less Paid than Minimum
Wage in Japan and Korea (Possibly over-valued based on BSMW and EAPS)
Sources: (Japan) MHLW, "Basic Survey on Minimum Wages"; (Korea) Minimum Wage Commission, "Manual for the Minimum Wage Deliberation in 2018", pp. 74-76, originally from Statistics Korea, “Economically Active Population Survey”.
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124 産業關係硏究 제29권 제1호
Figure 6. Transition of the Ratio of the Workers Paid Less and to be Paid Less than Minimum
Wage in Japan and Korea (Possibly under-valued based on BSWS and SLCET)
Sources: (Japan) MHLW, “Basic Survey of Wage Structure”; (Korea) Minimum Wage Commission, “Manual for the Minimum Wage Deliberation in 2018”, pp73, originally from MOEL, “Survey on Labor Conditions by Employment Type”.
Another way to evaluate the effects of minimum wages on wages is to focus on their
impacts on wage differential. It is expected that wage differential becomes more equitable
by raising low-paid worker wages using minimum wage policies. Here the authors observe
two indicators. One is the ratio of minimum relative to median wage (hereinafter referred
to as ratio 3). It is obtained by the following formula: (minimum wage of full-time
workers ÷ median wage of full-time workers) × 100. It indicates how much the workers
who are paid the minimum wage are reducing their gaps with workers paid for median
wages. The other is the ratio of low paid workers relative to total workers (hereinafter
referred to as ratio 4). It is obtained by the following formula: (number of workers earning
less than two-thirds of median wage ÷ total number of workers) × 100. This ratio
indicates how many workers are under the poor working conditions, even after the
minimum wage policy installed.
Figure 7 shows the transition of two ratios in Japan and Korea. The data show that
even if ratio 3, positioning minimum wage against median wage of fulltime workers, are
both increasing in Japan and Korea, it is increasing much faster in the latter and the level
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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 125
has surpassed 50% level, which is significantly higher than the ratio in Japan which stays
at 40% level. However, ratio 4 of Japan has been systematically lower than that of Korea.
Near a quarter (22.3% in 2017) of total workers in Korea are not able to escape from
the condition of low wage earner, while in Japan it has been confined to 12.3% in 2017.
Figure 7. Transition of the Minimum-median Wage Ratio and the Low Paid Workers Ratio
Source: OECD, http://stats.oecd.org/, Minimum relative to average wages of full-time workers Median, 2019. 01; OECD, http://stats.oecd.org/, Decile ratios of gross earnings Incidence of low pay, 2019. 01.
This suggests wage distribution had been more equitable in Japan than in Korea before
minimum wage policies started to push for higher wages for low-paid workers. Figure 8
shows the 2017 wage distribution by decile data in Japan and Korea. The level of first
decile in Japan is higher than in Korea, and the level of ninth decile in Japan is lower
than in Korea, which implies the distribution gap in Korea is larger than in Japan.
Actually, both of the ratio of first decile relative to ninth decile and the ratio of first decile
relative to mean in Korea are lower than in Japan. In short, more workers in Korea
concentrate near low wage line, which makes it more difficult in Korea for the minimum
wage policy to achieve income distribution more favorable for low-paid workers. As the
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126 産業關係硏究 제29권 제1호
wage distribution is more acute issue in Korea, so is it necessary for Korean government
to pursue more equitable wage distribution using minimum wage push. As a result,
MWSM in Korea feels strong pressures from various corners of the society.
Figure 8. Wage Distribution in Japan and Korea in 2017
Source: (Japan) MHLW, “Basic Survey on Wage Structure in 2017”; (Korea) Statistics Korea, “Economically Active Population Survey in 2017”.
Ⅷ. Conclusion
As stated above, the authors found some basic features that are common between
developments in minimum wages in Japan and Korea. From institutional point of view,
both countries heavily rely on tripartite committees at the national level to manage annual
minimum wage setting procedures, although there is a difference that Korea has a
nation-wide single minimum wage in comparison with Japan’s having local minimum
wages. Even 47 local minimum wages are enforced in Japan, however, as a matter of
practice, the CMWC plays a decisive role by indicating the target increase level for
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LMWCs.
From a policy perspective, both governments try to influence minimum wage setting
procedures by indicating that higher minimum wage is desirable both in Japan and Korea,
even if the Korean government is center-left and the Japanese government is conservative.
It seems both governments are concerned about divisive tendencies in the labor market
and regard higher minimum wages good for economic growth because it would help
increase consumption.
The authors also found major differences between developments on MWSM in two
countries. One of the most prominent differences is shown in the process of MWSM.
They are much tougher in Korea than Japan. Often, some groups of the members refuse
to participate in the process, and decisions made by MWC tend to be harshly criticized
by the public as well as both business and labor sides. On the contrary, CMWC in Japan,
even without internal rules to reach conclusions by majority vote, has reached conclusions
for a long time and both labor and management sides have accepted the opinions of public
interests representatives, although it has experience of lengthy negotiations.
Another of most prominent differences is found in the outcome of the processes.
Although recent minimum wages have increased significantly, and in a speed higher than
GDP growth rate both in Japan and Korea, they increased much faster and higher in
Korea than in Japan.
Those two aspects of differences may not be totally independent each other. It is likely
that the more does the process become tough when outside pressure for higher and faster
minimum wage increase is strong, the more does the outcome become conspicuous.
From a system perspective, the differences may be related to what factors minimum
wage setting organizations are supposed to consider. While income distribution is one of
the factors to be considered in Korea, it is not the case in Japan. It seems that the Korean
MWSM is assigned a wider role to reduce income gap among workers, while the Japanese
counterpart is allowed to focus more on specifically low wage group of workers. From
this perspective, if Korean government and/or other actors try to pursue less tough
processes in MWSM, they may consider reducing burdens on the processes by developing
other policy channels to be responsible for improving income distribution.
In the case of Japan, the government is also concerned about widening income gap
particularly related to increasing number of non-regular workers when it includes higher
and steady increase of minimum wage in its labor-market reform plan. It seems, however,
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128 産業關係硏究 제29권 제1호
the Japanese government counts more on the new wage-parity laws between regular and
non-regular workers to reduce the widening wage gap. If the high expectation placed on
the wage parity laws does not materialize, then it is possible that the minimum wage may
be given a bigger role in the fight for income equality.
The authors remind people of policy circles of the importance of wider perspective in
examining performance of minimum wage policy. A minimum wage policy may produce
expected results under certain circumstances and may not under other conditions. One
needs to consider wide range of related policies and economic and social factors to reach
a conclusion. The authors recommend that concerned people should rely on such a broad
perspective to discuss about minimum wages.
Finally, regarding the theoretical implications of the study, this paper found the
approach proposed by Kaufman based on institutional economics giving fruitful
backgrounds for further research on minimum wages. The authors developed the
framework by suggesting that institutions, processes, and outcomes are important to
explicate MWSM. The authors also elaborated the framework by proposing that structures,
procedures, and factors are critical in consideration of the institutions. With this
framework, the authors investigated what actually are going in Japan and Korea. As of
now, both governments of Japan and Korea are strongly concerned about wage gap
between worker groups, particularly regular versus non-regular workers. These two
governments, while one is a center-left in Korea and the other is a conservative in Japan,
are fighting against depression in the economy. However, examining the effect of this
fighting needs further study.
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132 産業關係硏究 제29권 제1호
국문요약
일본과 한국의 최저임금 설정 메커니즘 비교: 차이의 원인 탐구
니타 미치오․우종원
이 논문은 최저임금을 전반적으로 규정하는 제도, 과정 및 성과에 초점을 맞추어 근래의
한국과 일본의 최저임금 설정 메커니즘(MWSM)을 검토한다. 이때 제도를 고려함에 있어
서는 첫째, 최저임금 결정구조, 둘째, 최저임금심의회의 구성 및 심의절차, 셋째, 최저임금
심의 결정 시 고려되는 요인을 중요시한다.
검토 결과 다음과 같은 사실이 발견되었다. 한일 간에는 유사점이 존재한다. 3자 구성의
심의회에 의존하고 있는 점, 양국 정부가 최저임금 인상이 바람직하다는 인식 아래 최저임
금 설정에 영향을 미치려고 노력하고 있는 점 등이 그것이다. 반면, 한일 간에는 차이점도
존재한다. 그 하나는 MWSM의 프로세스에서 관찰되는 것으로서, 일본보다 한국이 훨씬
더 터프하다는 점이다. 다른 하나는 MWSM의 성과에서 보여지는 것처럼, 최저임금은 일
본보다 한국에서 훨씬 더 빠르게 인상되고 있다는 점이다. 시스템적 관점에서 볼 때, 이런
차이점은 최저임금 설정 시 고려되는 요인과 관련이 있다. 소득분배는 한국에서 고려되는
중요한 요소 중의 하나지만 일본에서는 그렇지 않다. 한국의 MWSM은 근로자의 소득격
차를 줄이는 데 더 많은 역할이 주어지는 반면, 일본의 MWSM은 특정 저임금근로자의
상태에 더 집중한다.
본 논문은 최저임금정책의 성과를 검토함에 있어 좀 더 폭넓은 관점을 가지는 것이 중
요하다는 점을 정책관계자에게 상기시킨다. 최저임금정책은 특정 상황 아래에서는 예상되
는 결과를 산출할 수 있지만 다른 조건 아래서는 그렇지 못할 수도 있다. 최저임금정책에
서 어떤 결론을 내리기 위해서는 경제적 혹은 사회적 요인과 더불어 광범위한 정책적 요
인을 고려해야 한다.
주제어: 최저임금 설정 메커니즘, 최저임금을 이루는 제도와 과정 및 성과, 최저임금 결정 시 고려되는
요인
University of Illinois(일리노이대학교) | IP:130.126.***.5 | Accessed 2020/08/03 06:34(KST)
- Comparing Minimum Wage Setting Mechanisms in Japan and Korea
- Ⅰ. Institutionalist Approach to Minimum Wage
- Ⅱ. Current State of Discussions in Japan and Korea
- Ⅲ. Basic Data Showing the Trends and the Differences
- Ⅳ. Who Set the Minimum Wage and How?
- Ⅴ. Who Represent Workers’ Interests?
- Ⅵ. What Factors are to be Considered in Revising Minimum Wage Levels and How?
- Ⅶ. What are the Effects of Minimum Wage Hike?
- Ⅷ. Conclusion
- References
- 국문요약
__MACOSX/bibliography/._Comparing Minimum Wage Setting Mechanisms in Japan and Korea.pdf
bibliography/Minimum wage introduction and employment Evidence from.pdf
Economics Letters 139 (2016) 18–21
Contents lists available at ScienceDirect
Economics Letters
journal homepage: www.elsevier.com/locate/ecolet
Minimum wage introduction and employment: Evidence from South Korea Jisun Baek a,∗, WooRam Park b,1 a KDI School of Public Policy and Management, 263 Namsejong-ro, Sejong-si, 30149, Republic of Korea b Korea Development Institute, 263 Namsejong-ro, Sejong-si, 30149, Republic of Korea
h i g h l i g h t s
• We examine the effect of the introduction of minimum wage on employment in Korea. • We apply a difference-in-differences framework to the plant-level panel data. • The introduction of minimum wage increased the average remuneration for employees. • The minimum wage introduction had no discernible effect on plant-level employment.
a r t i c l e i n f o
Article history: Received 5 September 2015 Received in revised form 29 November 2015 Accepted 13 December 2015 Available online 24 December 2015
JEL classification: J21 J38
Keywords: Minimum wage introduction Difference-in-differences Employment Plant-level South Korea
a b s t r a c t
This paper examines the effect of the introduction of the national minimumwage on plant-level employ- ment in South Korea.We show that theminimumwage introduction increased the average remuneration for employees, but has no discernible effect on plant-level employment.
© 2015 Elsevier B.V. All rights reserved.
1. Introduction
The impact of the minimumwage on employment is an empir- ically controversial question. In particular, the existing literature fails to agree concerning whether theminimumwage reduces em- ployment (Card and Krueger, 1997; Neumark and Wascher, 2007; Schmitt, 2013). The goal of this paper is to provide new evidence regarding the effect of minimum wage on employment. We at- tempt to contribute to the literature by examining the effect of the introduction of minimumwage in contrast to the impact of the in- cremental increases in theminimumwage. In particular, relatively
∗ Corresponding author. Tel.: +82 44 550 1016. E-mail addresses: [email protected] (J. Baek), [email protected]
(W. Park). 1 Tel.: +82 44 550 4184.
http://dx.doi.org/10.1016/j.econlet.2015.12.014 0165-1765/© 2015 Elsevier B.V. All rights reserved.
few studies on the minimum wage have investigated the effect of the introduction of minimum wage, with most research regard- ing minimumwage focusing on the effect of incremental increases in the minimum wage. Moreover, most literature about the effect of the introduction of a minimum wage has been focused on the experience of the United Kingdom, where the national minimum wage was first enacted in 1999 (Draca et al., 2011; Metcalf, 2008; Stewart, 2004). We extend the understanding of the effect of the introduction of a minimum wage by documenting the experience of Korea, where a minimum wage was first enforced in 1988.
Using the fact that the introduction of the minimum wage had a larger effect on low-wage plants than on high-wage plants, we apply a difference-in-differences framework to the plant-level panel data to reveal the causal effect of the newly introduced minimum wage. Our empirical result shows the introduction of minimum wage increased the wage at the plants that had been paying below the minimum wage level prior to the enforcement
J. Baek, W. Park / Economics Letters 139 (2016) 18–21 19
of minimum wage. However, we find that the minimum wage introduction did not have any discernible adverse effect on plant- level employment.
The remainder of the paper is organized as follows: Section 2 addresses the detailed institutional background regarding the introduction of minimum wage in Korea, and describes the plant- level panel data used in this study. Section 3 explains the empirical strategy adopted for the analysis, followed by a discussion of the results in Section 4. Section 5 includes a summary and concluding remarks.
2. Background and data
In Korea, no law regulated the minimum wage until 1986, although the Labor Standard Act was passed in 1953 to protect workers’ basic rights at work. To improve the working conditions of low-paid workers, the Minimum Wage Act was passed by leg- islators, and enacted December 31, 1986. The law stipulated that the Minimum Wage Council would determine the first minimum wage rate by December 15, 1987, and the rate would be applied from the beginning of the following year—January 1, 1988. In the initial stage, the minimum wage was applied only in manufactur- ing plants with 10 or more employees. It was eventually expanded to all plants in 1999.
After numerous debates, in December 24, 1987, the Minimum Wage Council determined the initial minimumwage. In particular, in 1988, the initial minimum wage applied was 462.50 Korean won(KRW) per hour and 111,000 KRW per month for the low- paying manufacturing industries, and 487.50 KRW per hour and 117,000 KRW per month for the rest of the manufacturing sector.2
Exploiting this initial minimum wage level, we use the Mining andManufacturing Survey from 1983 and 1990, to analyze the im- pact of the minimum wage introduction. The data were collected by Statistics Korea, and include detailed information about all min- ing and manufacturing plants with five or more workers, such as the standard industry classification; the number of employees; the amount of tangible assets, including capital; and the amount of energy input and non-energy input. Because the minimum wage was initially applied only in themanufacturing sector, we limit the sample tomanufacturing plants.We also exclude plantswith fewer than 10 employees because they were regarded as qualitatively different from other plants, so were initially exempt from themin- imum wage enforcement. Moreover, as endogenous exits and en- tries of plants due to the implementation of the minimum wage could bias the estimates, we construct a balanced panel and focus on the plants observed in every wave of the surveys during the pe- riods analyzed in this study. Finally, to increase the comparability across plants in the sample, we exclude plants that paid above, in 1987, 250,000 KRW—approximately twice of the initial minimum monthly wage.3 Table 1 shows summary statistics of the key vari- ables in the dataset used for our main analysis.
2 The low-paying manufacturing industries, noted as ‘‘Group 1’’, include 12 industries based on three-digit standard industry classifications, such as Food Manufacturing, Manufacture of Textiles, Manufacture of Paper and Paper Products, and Manufacture of Pottery China and Earthenware. After the initial implementation of the minimum wage in 1988, the minimum wage has been increased every year during our periods of analysis. In particular, in 1989, the hourly minimum wage was 600 KRW and was increased to 690 KRW in 1990. Moreover, the council has not set the minimum wage separately for industries since 1988. 3 Weprovide the results based on the plantswithout awageupper bound in Panel
A of Table A.1 in the Appendix. The result is qualitatively and quantitatively similar to the main result.
Table 1 Summary statistics.
Variables Mean SD (1) (2)
Number of employees 42.50 49.43 Total labor cost (mil. KRW) 134.27 190.11 Labor cost per worker (mil. KRW) 2.96 1.52 Total annual wage (mil. KRW) 117.73 158.53 Annual wage per worker (mil. KRW) 2.65 1.26 Average monthly wage (mil. KRW) 0.23 0.11 Energy input used (mil. KRW) 35.54 119.99 Non-energy input used (mil. KRW) 599.65 1591.51 N(obs) 29495
N(obs) is the number of observations and SD indicates the standard deviation. The sample includes 3687 plants surveyed from 1983 to 1990. Labor cost of plants includes wages, insurance contributions, severance pay, and cost of employee benefits. Average monthly wage is the annual wage per worker divided by 12. Energy input includes the cost of fuel and electricity. Non-energy input indicates the cost of production other than labor, capital and energy input, such as material costs and cost of water. All monetary values are in current price.
3. Empirical strategy
To reveal the causal effect of the introduction of the minimum wage, we use the fact that low-wage plants, paying below the minimum wage, were likely to be substantially affected by the minimum wage enforcement. This empirical setting allows us to apply a difference-in-differences framework.4 In particular, we partition the manufacturing plants into a treatment group and a control group based on the average monthly wage in 1987, prior to the enforcement of the initial minimum wage rate in 1988.5 Thus, the treatment group consists of plants in which the average monthly wage in 1987 was less than the initial minimummonthly wage (referred to as ‘‘low-wage plants’’), and the control group consists of plants in which the average monthly wage in 1987 was higher than the initial minimum wage. Comparing the outcomes for the low-wage plants with those for the high-wage plants, we can capture the effect of theminimumwage introduction. Thus, the effect of the minimumwage introduction could be summarized by the estimates from the following equation (1):
Yijt = βAfter t · Treat i + X ′
ijtΦ + δi + γj + τt + ξjt + ϵijt (1)
where Yijt is an outcome variable such as the average wage per worker and the number of workers employed at each plant i in industry j in year t . After t is a dummy variable for the periods after the initial minimum wage was applied. Treat i is a dummy variable indicating whether the initial implementation of the policy affected the plant. In other words, Treat i takes a value equal to one if plant i’s average monthly remuneration for its employees in 1987 was less than the minimum wage applied in 1988. Thus, the coefficient of the interaction between After t and Treat i, β , will summarize the effect of the introduction of the minimum wage. The control variables include time-varying plant-specific variables such as the log of energy and non-energy inputs, X; plant-, industry-, and time-fixed effects, δi, γj and τt respectively; and industry × year fixed effects, ξjt , to control unobserved shocks to specific industries in a given year.
Furthermore, we alternatively use a continuous measure of the treatment intensity based on the difference between the pre- policy wage and the minimum wage applied in 1988. Because the
4 Our empirical strategy is similar to the previous literature that examined the effect of a minimum wage at the plant-level (Draca et al., 2011; Haepp and Lin, 2015; Riley and Bondibene, 2013). 5 A more appropriate measure would be the proportion of employees whose
monthly wage was below the minimum wage rate prior to implementation of the policy (Dube et al., 2007). Unfortunately, we cannot use that measure because the data do not have information about the wages of individual workers.
20 J. Baek, W. Park / Economics Letters 139 (2016) 18–21
Table 2 Employment and Labor Cost Before and After Introduction of the MinimumWage, 1983–1990.
Dependent variable ln(total labor cost) ln(labor cost per worker) ln(total wage) ln(wage per worker) ln(number of employees) (1) (2) (3) (4) (5)
Panel A: Treat = low-wage plant Treat ∗ After 0.146** 0.112** 0.164** 0.128** 0.0209
(0.040) (0.024) (0.040) (0.023) (0.034)
adj. R-sq 0.884 0.764 0.880 0.753 0.885 N 29496 29496 29496 29496 29496
Panel B: Treat = −(Pre-policy wage − Minimum wage) for low-wage plants Treat ∗ After 2.898** 1.867** 3.402** 2.325** 0.676
(1.038) (0.577) (1.025) (0.562) (0.915)
adj. R-sq 0.884 0.763 0.880 0.753 0.885 N 29496 29496 29496 29496 29496
Standard errors in parentheses are clustered at the plant-level. Treat ∗ After is the interaction between After and Treat where After is a dummy variable indicating the period after the introduction of the national minimumwage in 1988 and Treat is defined as follows. In Panel A, Treat is equal to one if the average monthly wage of plant i in 1987 was lower than the initial minimum wage applied in 1988; otherwise, Treat is zero. In Panel B, Treat takes the absolute difference between the averagemonthlywage paid in 1987 and theminimumwage applied in 1988 if the average monthly wage is less than the minimum wage; otherwise, Treat is zero. Controls include the logarithm of energy input, the logarithm of non-energy input(other than labor and capital); a set of dummy variables for exporting plants × year; and plant-, industry(three-digit classification)-, year-, and industry × year fixed effects. ∗ p < 0.05, ∗∗ p < 0.01.
employers had to pay at least to the ‘minimum’, it is likely that the introduction of minimum wage became more burdensome for the plants with a larger difference between the pre-policy average wage and the minimum wage rate. In order to allow the differential impact between plants in the treatment group, we define a continuous treatment intensity as follows:
Treatment Intensityi
=
−
Wagei,1987 − MinWage
ifWagei,1987 < MinWage
0 ifWagei,1987 ≥ MinWage (2)
where Wagei,1987 is plant i’s average monthly wage paid in 1987 and MinWage is the initial minimum wage rate applied in 1988. The treatment intensity takes 0 for the plants in the control group.6 The estimated coefficient of the interaction between the treatment intensity andAfter t will capture the effect of the introduction of the minimum wage.
4. Results
In this section, we discuss the empirical results regarding the impact of the introduction of minimum wage on average remuneration and plant-level employment.
Table 2 summarizes the results of estimating Eq. (1) using various outcome variables. Columns (1)–(4) show the positive and significant coefficients of the Treat · After , indicating the low- wage plants experienced a larger increase in total labor cost, labor cost per worker, total annual wage, and annual wage per worker than did the high-wage plants. These results indicate that plants complied with the minimum wage legislation; thus, the minimum wage policy was enforced well in Korea. We then examine whether the introduction of minimum wage had an effect on plants’ employment, and find it had a limited effect on employment. Column (5) of Table 2 reports the result for
6 As robustness checks, we use two alternative continuous treatment intensities, allowing plants paying much higher than the minimum to be treated differently from the plants paying slightly higher than the minimum wage. First, we apply (−1) ·
Wagei,1987 − MinWage
regardless of the value of Wagei,1987 . In addition,
we adopt a treatment intensity, (−1) · ln(Wagei,1987), as in Draca et al. (2011). The estimated results are summarized in Panels B and C of Table A.1 in the Appendix, respectively. The results based on the two alternative treatment intensities exhibit the same pattern of results as the main result.
estimating Eq. (1) using the log number of employees at the plant as an outcome variable. The estimated coefficient is statistically indistinguishable from zero. Therefore, our results support the recent literature documenting the limited effect of the minimum wage on employment (Dube et al., 2010; Hirsch et al., 2015).
As a robustness check, we perform a falsification test by introducing a pseudo minimum wage in 1985 (instead of 1988). Specifically, we estimate with the Eq. (1), adopting the treatment indicator and the treatment intensity based on the average monthly wage paid at each plant in 1984 and regarding 1985 as the initial year under the policy. If our main results are simply capturing the difference in the existing trend in the outcome variables, the placebo introduction of minimum wage would pick up the difference as well, so the estimated coefficients for labor cost and annual wage should be statistically significant. However, the results in Table 3 show no significant difference in total labor cost, average labor cost, total annual wage, or average annual wage between the control and treatment groups, thereby reinforcing the validity of our finding.
5. Conclusion
In this paper, we examine the effect of the introduction of national minimum wage on plant-level employment. We exploit the timing of the implementation and the initial minimum wage rate in Korea to identify the causal effect of the minimum wage introduction. Applying a difference-in-differences framework to the plant-level panel data, we document that the introduction of minimum wage induced the low-wage plants to increase their average remuneration for their employees. However, we find that the introduction of minimumwage did not adversely affect plants’ employment despite its effect on the labor cost of plants.
Acknowledgments
We would like to thank Dr. Kim, Dongseok for providing the panel version of the Mining and Manufacturing Survey data used in this paper.
Appendix
See Table A.1.
J. Baek, W. Park / Economics Letters 139 (2016) 18–21 21
Table 3 Employment and Labor Cost Before and After Imaginary Introduction of the National MinimumWage, 1980–1987.
Dependent variable ln(total labor cost) ln(labor cost per worker) ln(total wage) ln(wage per worker) ln(number of employees) (1) (2) (3) (4) (5)
Panel A: Treat = low-wage plant Treat ∗ After −0.0482 −0.0125 −0.0490 −0.0134 −0.00734
(0.042) (0.027) (0.042) (0.027) (0.042)
adj. R-sq 0.843 0.657 0.842 0.640 0.787 N 17536 17404 17536 17404 17536
Panel B: Treat = −(Pre-policy wage − Minimum wage) for low-wage plants Treat ∗ After −0.768 0.369 −0.810 0.322 0.223
(1.269) (1.014) (1.240) (1.003) (1.454)
adj. R-sq 0.843 0.657 0.842 0.640 0.787 N 17536 17404 17536 17404 17536
Standard errors in parentheses are clustered at the plant-level. Treat ∗After is the interaction between After and Treat , where After is a dummy variable indicating the period after an imaginary introduction of minimumwage in 1985 and Treat is defined as follows. In Panel A, Treat is equal to one if the average monthly wage of plant i in 1984 was lower than the minimum wage applied in 1988; otherwise, it is equal to zero. In Panel B, Treat takes the absolute difference between the average monthly wage paid in 1984 and the minimum wage applied in 1988 if the average monthly wage is less than the minimum wage; otherwise, it is equal to zero. Controls include the logarithm of energy input, the logarithm of non-energy input(other than labor and capital); a set of dummy variables for exporting plants × year; and plant-, industry(three-digit classification)-, year-, and industry × year fixed effects. ∗ p < 0.05, ∗∗ p < 0.01.
Table A.1 Robustness checks.
Dependent variable ln(total labor cost) ln(labor cost per worker) ln(total wage) ln(wage per worker) ln(number of employees) (1) (2) (3) (4) (5)
Panel A: Sample containing all wage levels Treat ∗ After 0.135** 0.129** 0.158** 0.151** −0.0118
(0.038) (0.022) (0.038) (0.022) (0.032)
adj. R-sq 0.915 0.802 0.912 0.788 0.906 N 65896 65896 65896 65896 65896
Panel B: Treat = −(Pre-policy wage − Minimum wage) for low- and high-wage plants Treat ∗ After 1.002** 0.826** 1.113** 0.931** 0.0919
(0.179) (0.099) (0.176) (0.097) (0.160)
adj. R-sq 0.884 0.764 0.880 0.754 0.885 N 29496 29496 29496 29496 29496
Panel C: Treat = − ln(Pre-policy wage) for low- and high-wage plants Treat ∗ After 0.156** 0.122** 0.174** 0.139** 0.0200
(0.029) (0.016) (0.029) (0.016) (0.026)
adj. R-sq 0.884 0.764 0.880 0.754 0.885 N 29496 29496 29496 29496 29496
Standard errors in parentheses are clustered at the plant-level. Treat ∗ After is the interaction between After and Treat where After is a dummy variable indicating the period after the introduction of the national minimumwage in 1988 and Treat is defined as follows. In Panel A, Treat is equal to one if the averagemonthly wage of plant i in 1987was lower than theminimumwage applied in 1988; otherwise, it is equal to zero. In Panel B, Treat is equal to−(Pre-policy wage−Minimumwage) regardless of the value of Pre-policy wage. Finally, in Panel C, Treat is defined as negative of log of Pre-policy wage for all plants in the sample. Controls include the logarithm of energy input, the logarithm of non-energy input(other than labor and capital); a set of dummy variables for exporting plants × year; and plant-, industry(three-digit classification)-, year-, and industry × year fixed effects. ∗ p < 0.05, ∗∗ p < 0.01.
References
Card, D., Krueger, A.B., 1997. Myth and Measurement: The New Economics of the MinimumWage. Princeton University Press.
Draca,M.,Machin, S., Reenen, J.V., 2011.Minimumwages and firmprofitability. Am. Econ. J.: Appl. Econ. 3 (1), 129–151.
Dube, A., Lester, T.W., Reich, M., 2010. Minimumwage effects across state borders: Estimates using contiguous counties. Rev. Econ. Stat. 92 (4), 945–964.
Dube, A., Naidu, S., Reich, M., 2007. The economic effects of a citywide minimum wage. Ind. Labor Relat. Rev. 60 (4), 522–543.
Haepp, T., Lin, C., 2015. How does the minimum wage affect firm investments in fixed and human capital? evidence from China. Paper presented in The Society of Labor Economists-European Association of Labour Economists World Conference, Montreal, Canada, June 2015. URL: http://www.sole- jole.org/Haepp-Lin.pdf.
Hirsch, B.T., Kaufman, B.E., Zelenska, T., 2015. Minimum wage channels of adjustment. Ind. Relations: J. Econ. Soc. 54 (2), 199–239.
Metcalf, D., 2008. Why has the British national minimum wage had little or no impact on employment? J. Ind. Relat. 50 (3), 489–512.
Neumark, D., Wascher, W.L., 2007. Minimum wages and employment. Found. Trends Microecon. 3 (1–2), 1–182.
Riley, R., Bondibene, C.R., 2013. The impact of the national minimumwage on firm behaviour during recession. In: Report to the UK low pay commission. National Institute of Economic and Social Research.
Schmitt, J., 2013. Why does the minimum wage have no discernible effect on employment? In: CEPR Reports and issue briefs 2013-04. Center for Economic and Policy Research.
Stewart, M.B., 2004. The impact of the introduction of the UK minimum wage on the employment probabilities of low-wage workers. JEEA 2 (1), 67–97.
- Minimum wage introduction and employment: Evidence from South Korea
- Introduction
- Background and data
- Empirical strategy
- Results
- Conclusion
- Acknowledgments
- Appendix
- References
__MACOSX/bibliography/._Minimum wage introduction and employment Evidence from.pdf
bibliography/research_poster.pdf
Who are Hired?
The Impact of the Minimum Wage Increase on Job Recruitment by Agri-Business Companies
So-jin kim
Department of Agricultural Economics Chungbuk National University e-mail: [email protected]
Mi-seok kim
Department of Agricultural Economics Chungbuk National University
e-mail: [email protected]
Do-il Yoo Department of Agricultural Economics
Chungbuk National University e-mail: [email protected]
Selected Poster prepared for presentation at the 2019 Agricultural & Applied Economics Association
Annual Meeting, Atlanta, GA, July 21-23
Copyright 2019 by So-jin kim, Mi-seok kim, and Do-il Yoo. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies.
Who are Hired? The Impact of the Minimum Wage Increase on Job Recruitment by Agri-Business Companies
So-jin Kim, Mi-seok kim , & Do-il Yoo* The Department of Agricultural Economics at Chungbuk National University in Korea
*corresponding author
Research Background
The enlargement of low-wage and non-regular workers is one of the long-standing problems of the labor market, which undermines decent and stable employment. Korea is also one of countries suffering from those problems. For instance, according to the Statistics Korea, non-regular workers occupy 32.9% of total wage workers by 2017 in Korea, amounting to 6.54 million people. Also, low-wage workers occupy 23.8% of total workers. For one of solutions dealing with those problems, the present Korean government implemented the policy increasing the minimum wage whose increase rate amounting to over 10% since 2017. As a result, the proportion of low-wage workers was 18% in 2018, which is 5.8% lower than 2017. However, some argue that such an increase causes adverse effects of a decline in labor demand; if the labor market is assumed to be a perfectly competitive, the rise of wage causes the decrease of total labor demand by shifting the optimal point on the demand curve.
The decline in labor demand seems to be more serious for those majoring in agriculture and food industry, who are experiencing serious employment difficulties. The employment rate of graduates with four-year agricultural majors was only 30.4% in 2015. From among these, only 21.9% were employed in the same industry, which was less than 10% of the total majors (MAFRA, 2015). Thus, the decrease in labor demand seems to lead to a more evil tendency to select career paths for agricultural workers than those from other industries. In the case of agricultural companies, the increase of the minimum wage can cause a limitation of operating costs. This budget constraint can result in a reduction in the number of new recruits. Reduced recruitment personnel can make companies more prudent and conservative in the preference of recruitment. This may confuse job seekers majoring in agricultural fields because companies may change their preferences by the impact of increased minimum wage.
Research Object The purpose of this study is to investigate whether the increase of minimum wage has a significant impact on recruitment of companies related to the agriculture and food industry. First, we would discover the level of workers’ competencies companies want. Second, we suggest the implications for impact of increased minimum wage on the preference for workers.
Previous Literature Previous literature tend to analyze only the impact of increased minimum wage on company management or labor demand without potential ripple effects such as changes in preferences for talented people(Allegretto et al., 2018; Jardim et al., 2017; Dube et al., 2016; Meer and West, 2013) However, most of previous literature has not dealt with both direct impacts and associated ripple effects of the increased minimum wage in the agriculture and food sector. Therefore, our study differs from the previous literature in the sense
that we analyze the changes of the preferred talents by the agriculture and food companies, corresponding to the ripple effects of the minimum wage increase.
The data, which is used in this study, is survey data from 2018 to 2019. The survey aimed for agricultural companies by using fax and e-mail. The questionnaires of survey are consisted of eight competences which are expected to consider when the company hire. One choice set of the 6 profiles consists of A, B, and C. C means no one chooses. considering the convenience of response according to the order of questions, three types were classified in one block for randomaizing.
The conditional logit model, such as mixed-logit model, assumes that the error terms are independent of each other(Independence of Irrelevant Alternative, IIA), so that which follow type I extreme value distribution. In order for the analysis through mixed-logit model to be valid, it is necessary to test whether IIA assumption is satisfied. For this reason, we conduct Hausman and Mcfadden(HM) test as formula (4).
(4) br − bf ′[𝑐𝑜𝑣(br) − 𝑐𝑜𝑣(bf)]
−1 br − bf
𝑏𝑓: estimated coefficients of total model
𝑏𝑟: estimated coefficients of restricted model
𝑐𝑜𝑣(𝑏𝑟), 𝑐𝑜𝑣(𝑏𝑓): covariance matrix of each model
In the variables “major in Agriculture" and "understanding of agricultural industry", coefficient values decreased at the significance level of 1%. On the other hand, the "understanding other major" variable showed a 1% significance level at the value not significant by 2018, and the coefficient value also increased.
In the case of language ability, the results of 2019 were not significant. There was no significant difference from the results of 2018 as the variables "presence of certification" and "experience of activities" showed small changes within the standard deviation. Finally, the value variable is significantly lowered from 0.7349 to 0.4869 in 2019
Summary and Conclusions According to the results of the analysis, the agricultural companies were affected by the minimum wage increase but did not reduce the number of recruits. This suggest s that there is room for an increase in demand for manpower of agri-food compani es. Although the increase in minimum wage has led to an increase in new employee salary, they have a willingness to hire applicants in agri-food companies. Also, the smaller the sales, the bigger willingness to hire.
Let's look at the preference change due to the above impact. In 2019, whe n the minimum wage increased, the preference for highly skilled workers who are a griculture majors and who deeply understand agriculture has decreased compared to 2018. On the other hand, it seems that they prefer the people who have a better understanding of other majors. Another important characteristic is that they prefer p eople who emphasize individual competency development rather than those who ha ve high organizational loyalty.
In summary, it is found that as the minimum wage increases, the agri-food enterprises select the talents who have a higher understanding of other major than the agriculture and emphasize the development of individual competence. Because of the uncertainty about paying high wages, Agri-food companies prefer to have a v ariety of knowledge and proven talent who can develop their own personal abilities rather than being framed in the same way as grades.
References
Allegretto, S., and M. Reich, 2018, “Are Local Minimum Wages Absorbed by Price Increases? Estimates from Internet-based Restaurant Menus,” ILR Review, 71(1): 35-63.
Dube, A., T. W. Lester, and M. Reich, 2016, “Minimum Wage Shocks, Employment Flows, and Labor Market Frictions,” Journal of Labor Economics, 34(3): 663-704.
Jardim, E., M. C. Long, R. Plotnick, E. V. Inwegen, J. Vigdor, and H. Wething, 2017, “Minimum Wage Increases, Wages, and Low-wage Employment: Evidence from Seattle,” National Bureau of Economic Research, No. w23532
Kwon, O. S., 2006, “Valuing Recreational Benefits of Dam Lakes with a Combined Model of Revealed and Stated Preference Methods,” Environmental and Resource Economics Review, 555-576.
McGraw, K., J. S. Popp, B. L. Dixon, and D. J. Newton, 2012, “Factors Influencing Job Choice among Agricultural Economics Professionals,” Journal of Agricultural and Applied Economics, 44(2): 251-265.
Meer, J. and J. West, 2013, “Effects of the Minimum Wage on Employment Dynamics,” Journal of Human Resources, 51(2): 500-522.
Oyer, P. and S. Schaefer, 2010, “Personnel Economics: Hiring and Incentives,” National Bureau of Economic Research, No. w15977.
The Ministry of Agriculture Food and Rural Affairs (MAFRA), 2015, Online Policy Forum. On Agricultural Education, http://mafra.go.kr/list.jsp?id=31472&NOW_YEAR=2015&pageNo=1&group_id=3&menu_id=12 3&link_menu_id=&division=B&board_kind=C&board_skin_id=C2&parent_code=3&link_url=&d epth=1&code=top&link_target_yn=&menu_introduction=&menu_name=&popup_yn=&referen ce=&tab_yn=N.
Results
Result for 2018
Model Choice Experiment(CE) Model
The model that we use for analysis is mixed-logit model which is on the basis of CE model. CE model is one of the Stated Preference model which is survey method measuring people’s preference based on decision-making in hypothetical choice situation. It construct virtual candidates and conduct experiments on who are chosen for each company.
CE model is also based on random utility theory as formula (1). If company choose only one candidate to get biggest utility among some candidates, the model is as formula (2). If we assume that the model has closed form for Maximum Likelihood Estimation(MLE), then it requires simulation procedure such as (3).
(1) 𝑈𝑖𝐴 = 𝑉𝑖𝐴 + 𝜀𝑖𝐴
𝑈𝑖𝐴: utility obtained by choosing candidate A for company i
𝑉𝑖𝐴: indirect utility obtained by choosing candidate A for company i
𝜀𝑖𝐴: error-term
(2) P𝑖(A|D𝑖) = Pr(𝑉𝑖𝐴 + 𝜀𝑖𝐴 > 𝑉𝑖B + 𝜀𝑖B)
𝐴, 𝐵: each is a candidate
𝐷𝑖 : set of direct utility obtained by choosing each candidate for company i
𝜀𝑖𝐴, 𝜀𝑖𝐵: error-term
(3) 𝑆𝐿𝐿 = σ𝑖=1 𝑛 σ𝐴=1
𝛼 d𝑖𝐴 𝑙𝑛(P𝑖𝐴)
𝑑𝑖𝐴: binomial variable that whether the company i choose the candidate A
𝑛: the number of respondents
α: the number of alternatives
On the basis of these model, the mixed-logit model what we use for analysis is as follows.
(4) 𝑈𝑖𝐴 = ASC + 𝛽1𝑚𝑎𝑗𝑜𝑟𝑖𝐴 + 𝛽2𝑎𝑔𝑟𝑖𝑢𝑛𝑑𝑒𝑟𝑠𝑡𝑑𝑖𝐴 + 𝛽3𝑜𝑡ℎ𝑒𝑟𝑚𝑎𝑗𝑜𝑟𝑖𝐴 + 𝛽4𝑔𝑟𝑎𝑑𝑒𝑖𝐴 + 𝛽5𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒𝑖𝐴 + 𝛽6𝑙𝑖𝑐𝑖𝐴 + 𝛽7𝑎𝑐𝑡𝑖𝐴 + 𝛽8𝑔𝑟𝑜𝑢𝑝𝑖𝐴 + φ1 ∗ ASC ∗ 𝑠𝑎𝑙𝑒𝑠𝑖 + φ2 ∗ ASC ∗ 𝑝𝑎𝑦𝑖 + 𝜀𝑖𝐴
Level 1 variable(candidate level)
𝑚𝑎𝑗𝑜𝑟𝑖𝐴: major in agriculture of candidate A
𝑔𝑟𝑎𝑑𝑒𝑖𝐴: GPA of candidate A
𝑙𝑖𝑐𝑖𝐴: any license of candidate A
𝑎𝑐𝑡𝑖𝐴: activities of candidate A
𝑔𝑟𝑜𝑢𝑝𝑖𝐴: organizational Loyalty of candidate A
𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒𝑖𝐴: foreign language score of candidate A
𝑜𝑡ℎ𝑒𝑟𝑚𝑎𝑗𝑜𝑟𝑖𝐴: understanding of candidate A for other major
𝑎𝑔𝑟𝑖𝑢𝑛𝑑𝑒𝑟𝑠𝑡𝑑𝑖𝐴: candidate A’s understanding of agricultural industry
Level 2 variable(company level)
𝑠𝑎𝑙𝑒𝑠𝑖 : annual sales of company i
𝑝𝑎𝑦𝑖 : new employee salary of company i
2018
Removed profile Statistic Significance level IIA Asummptions
A 11.18 0.26 accept
B 15.99 0.067 reject
C 108.00 0.00 reject
2019
Removed profile Statistic Significance level IIA Asummptions
A 311.16 0.0000 reject
B 9.07 0.4311 accept
C 2.23 0.9731 accept
Table 2. HM test result
Data We construct 12 profiles and divide them into two sub-groups with 6 profiles through block design. As for attributes, we consider 8 factors as follows: 1) major in agriculture, 2) the degree of understanding on agriculture, 3) understanding on other major, 4) grade point average (GPA), 5) language grades, 6) certificates, 7) external activities, and 8) internship experience. The survey is conducted for personnel managers of agriculture and food companies.
Selection Criteria
Attribute Attribute level
Agriculture expertise
Major in Agriculture O X
understanding of agricultural industry
high middle low
Understanding other major
high middle low
Agriculture expertise
grade(Percentile) A(~30%) B(31%~70%) C(71%~100%)
Language(TOEIC) 850~990 750~850 650~750
license O X
activities O X
Personal value
Values Personal capacity organizational Loyalty
Table 1. Levels by applicant attribute
Variable
2018
Average estimate
Standard Deviation Estimate
Major in Agriculture major 1.2918 *** (0.2144)
1.8421 *** (0.2259)
understanding of agricultural industry
agriunderstd 0.9553 *** (0.1318)
-0.1376 (0.1159)
Understanding other major
othermajor 0.1448 (0.0901)
0.2486 * (0.1358)
grade(Percentile) grade -0.0293 (0.1200)
0.7357 *** (0.1228)
language(TOEIC) language -0.3646 *** (0.1072)
-0.2434 ** (0.1059)
license lic 0.4741 *** (0.1341)
0.2404 (0.2743)
activities act 0.6144 *** (0.1359)
0.1728 (0.1951)
Values group 0.7349 *** (0.2002)
1.9973 *** (0.2358)
Log Likelihood -710.4940
Likelihood Ratio 212.49 ***
a) *** P<0.01, ** P<0.05, * P<0.1 b) Numbers in brackets indicate standard errors.
Variable
2019
Average estimate
Standard Deviation Estimate
Major in Agriculture major 0.7010 *** (01570)
1.2223 *** (0.2058)
understanding of agricultural industry
agriunderstd 0.5617 *** (0.1419)
0.4168 * (0.2277)
Understanding other major
othermajor 0.2634 *** (0.0965)
0.3745 ** (0.1884)
grade(Percentile) grade 0.1253 (0.1112)
0.4873 *** (0.1094)
language(TOEIC) language -0.1045 (0.1124)
0.5976 *** (0.1491)
license lic 0.4637 *** (0.1479)
0.7439 ** (0.2915)
activities act 0.5851 *** (0.1414)
-0.3440 (0.2391)
Values group 0.4869 ** (0.2130)
2.1504 *** (0.2542)
Annual sales sales -0.0947 ** (0.0434)
New employee salary pay 0.1463 * (0.0807)
The effect of increase Minimum wage
effect 0.3256 * (0.1898)
Log Likelihood -726.2681
Likelihood Ratio 255.01 ***
a) *** P<0.01, ** P<0.05, * P<0.1 b) Numbers in brackets indicate standard errors.
Result for 2019
First of all, The effect of the minimum wage was found to be significant. 1% significance level, and the mean estimate was 0.3256.
__MACOSX/bibliography/._research_poster.pdf
bibliography/M Jung PhD Thesis.pdf
The Impact of the Minimum Wage on Older
Workers in South Korea
Min-a Jung
PhD Thesis
Department of Sociological Studies
The University of Sheffield
September 2019
Abstract
The purpose of this thesis is to explore the effects of the minimum wage on older
workers in South Korea and seek a better understanding of the effects in the context of
the minimum wage policy process. Using the KLIPS 2004-2013, this study examines
the effects of the minimum wage on the distributions of wages and family earnings,
employment, and exits from in-work poverty among older employees aged 55 or over.
Two government periods with the highest rates of increase in the minimum wage and
the lowest rates of increase were compared. The results show that the minimum wage
during the period with the highest growth rates raised wages, marginally reducing the
wage gap, but had insignificant effects on the distribution of family earnings and the
odds of individuals’ exits from in-work poverty. For the period with the lowest growth
rates, the minimum wage slightly improved the median of wages and of family
earnings, marginally reducing the wage gap, but decreased the chance to exit from in-
work poverty. An adverse employment effect was not found for both periods. This thesis
proposed a political economy framework and analysed the Minimum Wage Council’s
annual reports on the fixing process 2003-2012. The findings show that the effects for
the period with the highest growth rates were associated with the role of the minimum
wage preserving the monthly pay as a result of the reduction of working hours and the
exemption of and the subminimum for surveillance or intermittent work. The effects for
the period with the lowest growth rates were related to the minimum wage increases
slightly higher than annual pay awards, its role of preserving monthly pay consequent
upon the reduction of working hours, and the subminimum for surveillance or
intermittent work.
i
Table of Contents
Chapter One Introduction 1
Chapter Two The Minimum Wage 17
Chapter Three Older Workers in the Labour Market 35
Chapter Four Older Workers: Labour Market Status and Minimum Wages 53
Chapter Five Theoretical Framework and Research Methods 96
Chapter Six The Factual Context for the Case Study of South Korea 148
Chapter Seven The Effects of the Minimum Wage on Older Workers in South Korea 177
Chapter Eight Political Economy of the Impact of Minimum Wages 211
Chapter Nine Conclusion 258
Appendix 270
Bibliography 288
ii
List of Tables
Table 1.1 The Proportion of Employers and Workers Participating in
Workplace Pension Schemes in South Korea, 2015-2016 (%) ................... 7
Table 2.1 Minimum Wage Fixing Procedures among OECD Countries ........ 23
Table 2.2 Minimum Wage Fixing Criteria among OECD Countries ............. 27
Table 3.1 Part Time Employees Aged 55-64 and 65+ by Country in 2011 .... 44
Table 3.2 Temporary Employees Aged 55-64 and 65+ by Country in 2011 ... 46
Table 4.1 Pension Ages and Financial Work Incentives/Retirement Disincentives by Type of Scheme in OECD Countries ............................ 68
Table 4.2 Limits to Combining Work and Pensions ...................................... 71
Table 4.3 Studies of Minimum Wage Effects and Older Workers .................. 84
Table 6.1 Changes in Minimum Wage Rates in South Korea (KRW/GBP/USD; %; thousand persons) .............................................. 151
Table 6.2 Empirical Studies about the Effects of the Minimum Wage in South Korea.................................................................................................... 166
Table 7.1 Characteristics of 55+ Employees, 2004-2013 ............................ 179
Table 7.2 Estimated Models for Changes in the Percentiles of Log Hourly Wages among 55+ Employees, 2004-2008 and 2009-2013.................... 186
Table 7.3 Estimated Models for Changes in Employment & Unemployment among 55+ Employees, 2004-2008 and 2009-2013 ............................... 191
Table 7.4 Descriptive Statistics of 55+ Employees by Covariates, 2004-2008 & 2009-2013 ........................................................................................ 193
Table 7.5 Estimated Fixed-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013 .............. 195
Table 7.6 Estimated Random-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013 .............. 196
Table 7.7 Estimated Models for Changes in the Percentiles of Log Family Earnings among 55+ Employees, 2004-2008 and 2009-2013 ................ 200
Table 7.8 Descriptive Statistics of 55+ Working Poor by Covariates, 2004-
iii
2008 & 2009-2013................................................................................ 204
Table 7.9 Estimated Fixed-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013 .................. 206
Table 7.10 Estimated Random-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013 .................. 207
List of Figures
Figure 1.1 Average Normal and Effective Retirement Age in OECD Countries
by Sex, 1970-2015 .................................................................................... 1
Figure 1.2 Average Age of Retirement from Lifetime Main Job in South Korea, 2005-2017 ..................................................................................... 4
Figure 1.3 Effective Age of Labour Market Exit and Normal Pensionable Age in South Korea ......................................................................................... 5
Figure 1.4 The Share of Beneficiaries of the National Pension among Those Aged 60+ in South Korea (%) .................................................................. 6
Figure 1.5 Income Sources of Older People Aged 60+ in South Korea (%) .... 8
Figure 3.1 Labour Force Participation Rates by Age Group in OECD Countries, 1970-2011 (%) ....................................................................... 37
Figure 3.2 Labour Force Participation Rates of Workers Aged 55+ by Sex and Age Group in OECD Countries, 1995-2015 (%) ..................................... 37
Figure 3.3 Labour Force Participation Rates of Workers Aged 55-64 among OECD Countries, 1970-2011 (%) ........................................................... 38
Figure 3.4 Employment Rates by Age Group in OECD Countries, 1970-2011 (%) ......................................................................................................... 40
Figure 3.5 Employment Rates of Older Workers Aged 55+ by Sex and Age Group in OECD Countries, 1995-2015 (%) ............................................ 40
Figure 3.6 Employment Rates of Workers Aged 55-64 among OECD Countries, 1970-2011 (%) ....................................................................... 41
Figure 3.7 Incidence of Part Time Employment by Age Group in OECD Countries, 2000-2011 (%) ....................................................................... 42
iv
Figure 3.8 Incidence of Part Time Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%) .............................. 43
Figure 3.9 Incidence of Temporary Employment by Age Group in OECD Countries, 2000-2011 (%) ....................................................................... 45
Figure 3.10 Incidence of Temporary Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%) .............................. 45
Figure 3.11 Sectoral Empolyment Structure by Sector and Age Group in EU 25, 2011 (%) ........................................................................................... 47
Figure 3.12 Annual Employment Growth by Sector and Age Group in EU 25, 2008-2011 .............................................................................................. 48
Figure 3.13 Proportion of Low-Wage Earners by Age Group in EU Countries, 2010 (%)................................................................................................. 49
Figure 3.14 Changes in Proportion of Low-Wage Earners Aged 50+ in EU Countries, 2006-2010 (%) ....................................................................... 50
Figure 3.15 Gender Pay Gap among Older Workers Aged 55-64 and 65+ in EU Countries, 2010 (%).......................................................................... 51
Figure 4.1 Factors Influencing Labour Market Status of Older Workers ....... 59
Figure 6.1 Process of Minimum Wage Deliberation and Determination in South Korea .......................................................................................... 150
Figure 6.2 Growth in Minimum Wage, Annual Inflation (CPI) & GDP per Capita, and Minimum Wage Relative to Average Wage of Full-Time Workers in South Korea, 1988-2013 (%) .............................................. 152
Figure 6.3 The Share of Employees Paid Less than the Minimum Wage in South Korea, 2001-2013 (%) ................................................................ 153
Figure 6.4 Changes in Labour force Participation, Employment and Unemployment among Workers Aged 50 + in South Korea, 2000-2014 (%) ............................................................................................................. 155
Figure 6.5 Changes in the Growth Rate in Population, Labour force Participation and Employment among Workers Aged 50+ in South Korea, 2001-2014 (%)...................................................................................... 156
Figure 6.6 Changes in Employment Status of Workers Aged 50+ in South Korea, 2007-2013 (%) .......................................................................... 157
Figure 6.7 Changes in Industrial Composition among Workers Aged 55-79 in
v
South Korea, 2005-2014 (%) ................................................................ 158
Figure 6.8 Changes in Occupational Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%) ............................................................ 159
Figure 6.9 Changes in the Ratios of Monthly Wage & Hourly Wage among Employees 50+ to among Those Aged 30-49 and Weerkly Hours Worked by Age Group in South Korea (%, hrs) ................................................. 160
Figure 6.10 Changes in the Proportion of Older Employees Earning Less Than 50% of the Median Wage in South Korea (%) ....................................... 161
Figure 7.1 Wage Distribution of 55+ Employees, 2004-2008 and 2009-2013 ............................................................................................................. 181
Figure 7.2 Distribution of Monthly Family Earnings among 55+ Employees, 2004-2008 and 2009-2013 .................................................................... 198
1
Chapter One Introduction
Overview of Topic
The era when early retirement was a norm in the workplace, in which retirees rarely
returned to the labour market and few workers were likely to be paid at or near a
minimum wage, disappeared almost twenty years ago (Fang and Gunderson, 2009). The
labour market exit age, which had dropped sharply mainly due to the maturing of
pension systems and early retirement schemes, has been gradually increasing since the
early 2000s, following the rise in the normal pensionable age (OECD, 2017, pp.48-49;
Figure 1.1). As the life after retirement was no longer being supported by pension plans
as before, the labour force participation of older workers and their employment have
increased since the mid-1990s, and a growing number of older workers have been
engaged in low paid jobs (see Chapter Three).
Figure 1.1 Average Normal and Effective Retirement Age in OECD Countries by Sex, 1970-2015
Source: OECD, Pension at a Glance 2017, p.49 Note: The normal retirement age refers to the average normal pensionable age; the effective retirement age is defined as the average labour market exit age which is estimated by OECD from observed changes in participation rates over a five-year period for successive cohorts of workers (by five-year age groups) aged 40 and over. For the effective retirement age, each indicated year points to the end year of each five-year period.
60 61 62 63 64 65 66 67 68 69 70
1971 1976 1981 1986 1991 1996 2001 2006 2011
Ag e
1971 1983 1989 1993 1999 2002 2010 2014 Normal 63.9 63.2 62.8 62.5 62.6 62.7 63.0 63.9
Effective 68.5 65.2 64.3 63.9 63.3 63.2 63.9 64.6
MEN
58
60
62
64
66
68
70
1971 1976 1981 1986 1991 1996 2001 2006 2011
Ag e
1971 1983 1989 1993 1999 2002 2010 2014 Normal 62.1 61.7 61.1 61.1 61.2 61.4 61.9 63.0
Effective 66.2 63.4 62.6 62.1 61.1 61.2 62.6 63.2
WOMEN
2
Along with the changes in older workers’ economic activity, research about their status
in the labour market has developed from pension-focused research on retirement to
multiple factors studies on retirement and further to studies on employment and age
discrimination in the labour market. However, despite a large amount of research with
regard to the status of older workers in the labour market, little attention has been paid
to the issue of their earned income. Considering the fact that financial need is one of the
most decisive factors for workers to remain in employment in their later life, the issue
of earned income among older workers is of importance. Further, the tendency among a
growing number of older workers to be hired in low paid jobs arouses interest in the
influence on older workers of policies for the low paid.
The minimum wage is the most popular policy for low paid workers, but its efficacy is
controversial. Twenty six out of 34 OECD countries have statutory minimum wages in
place, and in the eight OECD countries that do not have a statutory minimum wage, a
large portion of the workforce is covered by the wage floors specified by sector-level
collective agreements (OECD, 2015, p.1). Despite its prevalence, the effects of the
minimum wage have been very debatable, particularly in terms of employment and in-
work poverty. This has relevance mainly to two points. One is that the research on the
minimum wage has been focused mainly on younger workers who were regarded as the
group most affected by an increase in the minimum wage. The other is that the effects of
the minimum wage have been explained almost exclusively by economic theories of the
labour market. The first point implies that workers in other vulnerable groups, such as
women, disabled workers and older workers, were relatively less explored in the field.
In fact, Fang and Gunderson’s work (2009) on the minimum wage effects on older
workers’ employment is the only study focusing on this group. Based on studies that
have devoted attention mainly to younger workers, a common argument is that the
minimum wage is not a useful tool to improve household incomes among low paid
families and to enable the working poor to exit from poverty because ‘most of the
benefits of minimum wage increases goes to second or third earners living in
households well above the poverty line’ (Sabia and Burkhauser, 2010, p.595).1
However, in as much as workers in the groups less focused on by the research on the
minimum wage are more likely to be the primary or indispensable secondary earners in
their households, the argument should be examined further through research into other
vulnerable groups affected by the minimum wage. The second point, the dominance of
3
economic theory in this research field provides limited explanations of the conflicting
empirical evidence, particularly of employment effects of the minimum wage.
Considering that the minimum wage is a public policy in which conflicting interests
among major groups of society, such as government, employers and employees, are
involved and which is made through a political process, an alternative explanation
involving both economic and political features of minimum wage policy is needed for
fuller and contextual accounts of the minimum wage effects.
In recognition of problems presented above, this thesis mainly aims to explore the
effects of the minimum wage on older workers in the context of South Korea. Korea is
one of the countries where the population is the most rapidly ageing due to the
decreasing fertility rate and the increasing life expectancy. As the share of those aged 65
years and older was 14.02 per cent in August, 2017, Korea has become an ‘aged society’
17 years after it entered the ‘ageing society’ group in 2000 (Kim, S-M and Chang, H-T,
2017). According to the National Statistical Office of Korea [통계청] (2017, p.15), the
share is projected to be 41.0 per cent in 2060. The gender ratio is 57.5 per cent for
women and 42.5 per cent for men in 2007; however, the gap in the ratio is projected to
decline to 4.6 per cent by 2060 (The National Statistical Office of Korea [통계청], 2017,
p.16). Life expectancy at birth increased from 51.1 years in 1960 to 76.2 years in 2010
for men and from 53.7 to 82.9 years for women, and it is expected to be 82.9 for men
and 88.9 for women in 2050 (Choi, S-J, 2015, p.58).
Despite the significant increase in life expectancy, the actual age at which workers retire
from their lifetime main jobs is very low. The survey which was conducted in 2001 by
the Ministry of Labour [노동부] among firms with 300 plus employees showed that the
prevalent retirement age was 55 and the average was 56.7 years (Phang, H-N, 2011,
p.57). According to Supplementary Results (for the Old Population) of the
Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사], the
actual age of retirement from lifetime main jobs among those aged between 55 and 64
was 52.2 in 2005, 51.5 in 2011 and 51.4 in 2017 for men and 48.1, 47.2 and 47.1 for
women, respectively (Figure 1.2). This is because mandatory retirement has been very
prevalently practiced among firms in Korea and the regulated retirement age,
particularly in the private sector, has often been set at a very low age ranged from 55 to
60 (Phang, H-N, 2011; Choi, S-J, 2015), relying on the absence of ‘law which governs
4
mandatory retirement age, except for the public sector’ (Choi, S-J, 2015, p.60). Very
recently, the mandatory retirement age should be set at the age of 60 years or over under
the Act on Prohibition of Age Discrimination in Employment and Elderly Employment
Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률], which has been
applied to firms with 300 employees and over and public organisations from 2016 and
to firms with less than 300 workers and state agencies and local governments from 2017
(The Ministry of Employment and Labor [고용노동부], 2016).
Figure 1.2 Average Age of Retirement from Lifetime Main Job in South Korea, 2005- 2017
Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey (every May in each year) [경제활동인구조사 (고령층) 부가조사 (각 연 도 5월)] Note: The average age of retirement from lifetime main job refers to the average age at which those aged between 55 and 64 retired or tranferred from their lifetime major jobs.
The actual age of retirement from a lifetime main job is well below the pensionable age
and effective age of exit from the labour market in Korea. As shown in Figure 1.3, the
normal pensionable age was originally set at 60 years for both men and women but has
been increasing by one year per five-year term from 2013 to 2033 under the National
Pension (Amendment) Act 2011 [국민연금법], reaching 61 between 2013 and 2017, 62
between 2018 and 2022, 63 between 2023 and 2027, 64 between 2028 and 2032 and 65
by 2033. The average effective age of exit from the labour market was 70.3 for men and
69.8 for women for the period of 2004-2009, increased to 72.9 and 70.6 respectively
over the period 2009-2014 and led to 72.0 and 72.2 for each over the period 2011-2016.
These facts suggest that Korean older people are likely to experience financial
difficulties and tend to remain at the workforce almost 20 years longer after retiring
from their lifetime main jobs. In terms of the labour force participation, ‘the old-age
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Total 50.0 50.3 49.6 49.6 49.5 49.3 49.2 49.3 49.4 49.4 49.0 49.0 49.1 Men 52.2 52.4 51.9 52.0 51.8 51.6 51.5 51.5 51.4 51.6 51.5 51.5 51.4 Women 48.1 48.3 47.5 47.4 47.4 47.2 47.2 47.4 47.6 47.4 46.9 47.0 47.1
44 45 46 47 48 49 50 51 52 53
Ag e
5
participation rates for both Korean men and women are slightly or considerably higher
than the average rate of OECD or European Union countries’ (Phang, H-N, 2011, p.55).
Such high participation and employment rates among the old age were due to retirees’
self-employment and those engaged in the agricultural and fishery industry; however,
the numbers of both have considerably decreased since the middle of the millennium
whereas the number of wage workers, particularly engaged in low paid jobs, has
significantly increased among older people (see Chapter Six).
Figure 1.3 Effective Age of Labour Market Exit and Normal Pensionable Age in South Korea
Source: OECD, Society at a Glance 2009 for the average effective age of labour market exit over the period 2002- 2007; OECD, Pension at a Glance 2011, 2013, 2015 & 2017 for the average effective ages over the period 2004- 2009, 2007-2012, 2009-2014 and 2011-2016, respectively; Article 21 of the supplementary provisions of the National Pension (Amendment) Act 2011 [국민연금법 부칙 21조] for normal pensionable ages Note: The average effective age of labour market exit was estimated by OECD from observed changes in participation rates over a five-year period for successive cohorts of workers (by five-year age groups) aged 40 and over.
Meanwhile, retirement income provisions have been long underdeveloped. As seen in
Figure 1.4, the state pension which was introduced in 1988 covered only 30.4 per cent
of those aged 60 years and over in 2008 and 40.9 per cent in 2016. Especially among
women, the share of the state pension beneficiaries has been much lower, staying at less
than 30 per cent until 2016. This low share among women can be understood mainly as
attributable to the fact that they have been more likely to be engaged in low-wage,
irregular jobs in which employers have not provided the four major public insurances,
including the National Pension, the National Health Insurance, Employment Insurance
and Industrial Accident Compensation Insurance and less likely to maintain their
subscription to the pension stable due to career discontinuity which is involved in
childbirth and child-rearing plus employment instability.
2002- 2007
2004- 2009
2007- 2012
2009- 2014
2011- 2016
1988- 2012
2013- 2017
2018- 2022
2023- 2027
2028- 2032 2033 +
Effective Age of Labour Market Exit Normal Pensionable Age Men 71.2 70.3 71.1 72.9 72.0 60 61 62 63 64 65 Women 67.9 69.8 69.8 70.6 72.2 60 61 62 63 64 65
0 10 20 30 40 50 60 70 80
Ag e
6
Figure 1.4 The Share of Beneficiaries of the National Pension among Those Aged 60+ in South Korea (%)
Source: The National Pension Service, National Pension Statistical Yearbook (each year) [국민연금통계연보 (각 연도)]for the number of beneficiaries of the National Pension; The National Statistical Office of Korea, Population Projections for Korea [장래추계인구]for the projected number of people aged 60+ Note: The share of beneficiaries was calculated by (the number of beneficiaries among those aged 60+/ the projected number of people aged 60+)*100 in each year.
Retirement allowance ‘which was introduced in 1953 under labour legislation’ and ‘has
provided retiring employees with an immediate lump-sum cash payment’ has played a
critical role of old-age income security (Klassen and Yang, 2010, pp.7-8). The
retirement allowance has typically become either ‘start-up capital’ for being self-
employed or ‘a financial cushion for the transition from the primary to invariably
precarious, secondary labour market’ (Klassen and Yang, 2010, p.8). But, as the idea of
‘a lifelong workplace’ which had been prevalent in Korea has disappeared under the
influence of labour market flexibilization and the bank interest rates has considerably
fallen with the financial reforms since the late 1990s, the retirement allowance has not
amounted as much as before. Since 2005, employers can replace the retirement
allowance with a workplace pension scheme under the Employee Retirement Benefit
Security Act [근로자퇴직급여보장법]. Table 1.1 shows the proportions of employers
and workers who participated in workplace pension schemes in 2015 and 2016. By
2016, only 10.9 per cent of employers with less than 5 employees and 40.3 per cent of
those with 5-29 employees instituted a company pension scheme while employers with
less than 30 employees comprised 93.6 per cent of the targeted establishments. For
workers, half of all those eligible were enrolled in a company pension scheme by 2016;
however, the enrolment decreased with age among those aged 50 years and over, and
there was a sizeable gap between men and women, except among those aged 60 years
and over.
2004 2008 2012 2013 2014 2015 2016 Total 20.8 30.4 37.1 37.7 37.9 39.2 40.9 Men 32.5 45.2 53.3 53.4 53.0 54.0 55.5 Women 12.3 19.2 24.6 25.5 26.1 27.6 29.2
0
10
20
30
40
50
60
7
Table 1.1 The Proportion of Employers and Workers Participating in Workplace Pension Schemes in South Korea, 2015-2016 (%)
Employers Workers
Size Participating Targeted
Age Total Men Women
2015 2016 2015 2016 2015 2016 2015 2016 2015 2016
Total 25.6 26.9 100.0 100.0 All ages 47.9 50.0 50.2 52.2 44.3 46.6
Less than 5 9.7 10.9 52.0 53.6 50 - 54 46.0 48.6 48.8 51.6 41.8 44.0
5 - 29 37.5 40.3 41.3 40.0 55 - 59 40.0 42.8 41.2 44.2 38.1 40.6
30-299 74.5 76.6 6.3 6.0 60 - 64 31.4 33.6 30.7 33.0 32.7 34.6
300 and over 88.2 88.1 0.4 0.4 65+ 22.1 25.9 23.3 25.9 19.6 25.7
Source: The National Statistical Office of Korea, (2017). Retirement Pension Statistics in 2016 [2016년 기준 퇴직 연금통계]
Along with the state pension, retirement allowance and workplace pensions, personal
pensions had begun in 1994 in Korea. But they tend to be regarded as a financial
product for preparation for retirement rather than as an old age social security system,
and in this regard, individuals show a propensity to join several insurance plans and not
to stay with them (Jeong, W-S, Kang, S-H and Lee, S-W, 2014, p.18).
These public transfers and private pensions account for less than 30 per cent of the total
income for Koreans aged 60 years and over (Figure 1.5). The rest mainly comes from
individuals’ own work and support from family and relatives; however, as shown in
Figure 1.5, the latter has been gradually eroded whereas the former has stayed above 50
per cent. The weakened family support is attributed to increase in women’s participation
in the labour market (Klassen and Yang, 2010), to fewer resources available as a result
of fewer children (Phang, H-N, 2011) and, most of all, to the change in both children’s
and old ages’ ideas and values relating to caring for the aged. This suggests the
importance of income from older people’s own work in Korea, despite the ongoing
development of the pension system.
Responding to the needs of work among older people and the expected increase in
social expenditures as a result of the population ageing, the Korean government has
developed a variety of measures to promote older workers’ employment, including
‘salary peak system’ in which employers cut salaries of their employees being a certain
age but, instead, ensure the employees’ employment until normal retirement age and
subsidies to employers who hire and retain older workers. ‘There are four types of
8
Figure 1.5 Income Sources of Older People Aged 60+ in South Korea (%)
Source: The National Statistical Office of Korea, Social Survey, every other year [사회조사, (각 조사 연도)] Note: Income from work includes earnings and income from business; income from assets includes profits from interests, dividends and real estates; pensions refers to both public and private ones; and welfare refers to resource- tested benefits and support from government or social groups.
subsidies under the Employment Insurance System [고용보험제도] which was
introduced 1995: subsidy to promote over-quota (6%) employment of older workers,
subsidy to promote newly employing older workers, subsidy to promote extended
employment of retiring workers and subsidy to promote older workers upon completion
of subsidised job training’ (The Ministry of Labor [노동부], 2009, quoted in Phang, H-
N, 2011, p.59). These can be promptly effective measures to improve employment
among older workers; however, they include, arguably, the nature of age discrimination
against older workers in terms of wages, or could make their target population more
vulnerable in employment in the long term unless they run parallel with a measure to
change employers’ perceptions of older workers, which seem to be more critical in as
much as the rates of employers taking up the government employment measures for
older workers are very low, and further, the main reason not to take up the ‘salary peak
system’ is the recent increase of the mandatory retirement age to 60 under the
amendment of the Act on Prohibition of Age Discrimination in Employment and Elderly
Employment Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률]
(Jung, S-Y, 2016).
The policy practices presented above shows that Korean government’s approaches to
the improvement of older workers’ status in the labour market have ruled out the
consideration of their wages, focusing on their employment or tends to have reflected
2009 2011 2013 2015 2017 Welfare 8.6 7.7 7.6 10.4 9.9 Family & Relatives 31.4 32.0 28.8 23.0 20.2 Installment Savings 6.1 9.1 9.9 6.3 7.3 Pensions & Retirement Allowances 24.5 27.6 24.9 27.6 28.1 Assets 13.3 12.4 12.2 11.7 10.3 Work 56.2 50.9 53.1 54.4 54.2
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
100%
9
employers’ perceptions of older workers and wider ‘age culture’ which is ‘the shorthand
description of social norms, values, ideals or perceptions in society that structure the
ideas of the age-work relationships’ (De Vroom, 2004, p.8) as the salary peak system
shows. But, allowing for the available income sources in old ages described above,
financial needs are likely to be a main driver for Korean older workers to remain longer
at the workforce; however, as the labour market has been dramatically changed since
the IMF bailout in 1998, and as a result, insecure, low paid jobs have exploded
throughout the first decade of the millennium, older workers have been more likely to
be engaged in low paid jobs due to their vulnerability in the labour market. This
disparity between their financial needs for work and status in the labour market,
particularly in terms of wages, have rarely been considered or not well addressed in the
context of a more common public policy practice for the improvement of wages among
vulnerable groups of workers.
The minimum wage is a typical wage-governing public policy for low pay workers in
Korea as in many other countries. The Minimum Wage Act was enforced in 1988 along
with the massive eruption of the labour union movement in the late 1980s (Yun, A-L,
2014). The minimum wage has been applied to all employers with one employee or
more since 2000, with the exception of domestic workers, seamen and those with a very
limited working capacity due to their physical and mental disabilities and has begun to
get attention from trade unions and the general public in the early 2000s. A
subminimum for older workers have been discussed within the Minimum Wage
Commission in the late 2000s, with the concern of likely disemployment among them.
However, the discussion was not based on any evidence of the minimum wage effects
on older workers, and the consideration of a subminimum for the group of workers was
finally discarded for the reason that it would be against the Act on Prohibition of Age
Discrimination in Employment and Elderly Employment Promotion [고용상 연령차별
금지 및 고령자고용촉진에 관한 법률]. The tendency that minimum wage discussion
has not been founded on research evidence, especially with regard to older workers, is
partly because research on the minimum wage in Korea has paid less attention to older
workers than other groups.
Based on these circumstances surrounding older workers presented so far, this thesis
explores the effects of the minimum wage on older workers in South Korea. How
10
minimum wages affect the distributions of wages and family incomes, employment, and
the exit from poverty among older workers are examined through a comparison between
two consecutive government periods which have a large gap in the rates of increase in
the minimum wage. The comparison is to figure out whether the differences in the rate
of increase in the minimum wage lead to different effects of the minimum wage among
older workers, on the one hand and to verify the relevance of theoretical explanations
for the effects, on the other hand. This thesis also aims to construct an alternative
theoretical explanation for the effects of minimum wages which takes account of both
economic and political attributes of the minimum wage as a public policy. Based on the
alternative theoretical framework, the empirical results of the minimum wage effects on
older workers will be further discussed, which involves a qualitative analysis of the
minimum wage fixing process.
Research Questions
Three closely related questions are addressed in this thesis. First, how the minimum
wage affects the distributions of wages and family earnings, employment and exits from
in-work poverty among older workers. In more detail, this includes how the minimum
wage changes the distributions of wages and family earnings of older workers, whether
increases in the minimum wage reduce older workers’ employment and whether
increases in the minimum wage raise the odds of exit from in-work poverty among
older workers. These questions aim to figure out the overall characteristics of economic
effects of the minimum wage on older workers. Second, whether different rates of
increase in the minimum wage have different effects among older workers. The second
question is to examine variations and uniformity in the effects of the minimum wage
among older workers by comparing two government periods when the minimum wage
was increased at distinctively different levels. This examination has special interests in
the effects on employment and on the exit from in-work poverty. With regard to the
employment effect, Fang and Gunderson (2009) argue that the positive employment
effect for older workers is a typical characteristic of the minimum wage in Canada,
compared to the fickle employment effects for younger workers. This thesis is interested
in whether non-adverse employment effects are more likely among older employees.
Also, it has been widely argued, based mainly on younger workers who are paid a
minimum wage but not the primary earners in their households, that the minimum wage
11
is a blunt tool to help working families in poverty. However, in as much as older
workers are more likely to be the primary earners in their households, whether higher
minimum wages tend to give better chances of leaving poverty than lower ones should
be examined among older employees. Further, this comparison of two government
periods with different rates of increase in the minimum wage is connected to the third
question of exploring the relation between the minimum wage effects on older workers
and the political factors involved. The third question, how the empirical results of the
minimum wage effects on older workers can be understood is to seek an alternative
explanation for the minimum wage effects in which both political and economic
attributes of the minimum wage as a public policy are taken into account. A political
economy theoretical framework for minimum wage effects will be proposed after the
review of the existing explanations; and the empirical results of minimum wage effects
on older workers will be further discussed through a contextual analysis which is
conducted based on the newly suggested theoretical framework.
Contributions
This study could help to fill the gap in the literature with regard to the impact of
minimum wages on older workers. As stated earlier, the subject of this thesis was
motivated by the vacuum in the research on older workers’ earned income. Particularly,
minimum wage research has excluded older workers as a research focus, as Fang and
Gunderson (2009, p.371) stated ‘to my knowledge, there are no studies that focus on the
impact on older workers’. Even after the first and only study, there has been little
subsequent work exploring the effects of the minimum wage focusing on older workers.
Considering the facts that a growing number of older workers have been working in
their later life for financial reasons, the number of older adults living in poverty has
been sharply growing, and the transformed labour market conditions are more likely to
provide low paid jobs to older workers, this study takes a significant step in the research
on low paid older workers’ earnings and, more specifically, in the one on the minimum
wage effects on older workers by extending the research subjects to wages, family
incomes, employments and poverty as well as by adding new empirical evidence.
Moreover, this study is the first try to explore the impact of minimum wages on older
workers in South Korea. Although the effects with regard to older workers have been
partially presented in some studies and a study examined the effect of the minimum
12
wage on labour demand in surveillance or intermittent work in which the majority of
workers were the aged, there are no comprehensive analysis that focused on older
workers. This study could provide a starting point for the study of the minimum wage
effects on older workers in Korea.
This thesis is also likely to broaden and deepen understanding of the minimum wage
effects. One of the main purposes of this research is to explore an alternative
explanatory framework for the minimum wage effects and to conduct a contextual
analysis of the minimum wage fixing process based on the framework for a fuller
understanding of the effects. Economic theories which have been exclusively dominant
in minimum wage research provide limited accounts with regard to some controversial
effects of the minimum wage, despite their strong explanatory power. The alternative
explanatory framework which will be constructed in this thesis as a result of reviewing
existing theories contains political attributes as well as economic ones of the minimum
wage as a public policy, in as much as the framework takes into account the policy
process relating to the minimum wage. The point that the framework is based on
minimum wage policy process indicates that the explanatory framework for the
minimum wage effects newly proposed in this thesis will be universally applicable,
though this study focuses on older workers and the minimum wage fixing process. The
contextual analysis of the minimum wage fixing process based on the theoretical
framework will provide a more concrete understanding of the resulting effects of the
minimum wage. This also calls attention to the importance of using both quantitative
and qualitative research methods in research field of the minimum wage.
Further, this study would provide important implications for minimum wage policy,
particularly with regard to the target groups of the policy. A growing number of older
workers in many countries are expected to have been under the influence of the
minimum wage, but they have supposedly been a low concern group in the minimum
wage policy process. This study calls the attention of decision-makers involved in the
minimum wage policy process to the necessity of considering older workers as a
vulnerable group in the labour market who are critically influenced in many ways by
minimum wage policy. Further, the discussion of the empirical results through the
contextual analysis of the minimum wage fixing process provides the decision-makers
with policy implication of how the interaction between the minimum wage and other
13
closely related policies, which is changed typically by a government’s policy orientation
and the dynamics of power among stakeholders, can be related to the minimum wage
effects on a specific target group. This is different from the typical emphasis on the
earned income tax credit (EITC) as an alternative measure for the increase in the
minimum wage to boost income among low paid workers.
The Structure of the Thesis
The remaining chapters of the thesis are broadly divided into four parts. The first part is
the basic background literature and data survey of the minimum wage and older workers
in the labour market (Chapter Two and Three). The second part is a comprehensive
review of existing literatures on the status of older workers in the labour market and on
the effects of the minimum wage with regard to older workers (Chapter Four). In the
third part, theoretical perspectives and research methods will be discussed (Chapter
Five). The last part is the Korean case study intended to examine the three main
research questions and a Conclusion (Chapter Six, Seven, Eight and Nine).
Chapter Two looks at the minimum wage systems among the OECD countries. Using
the ILO Working Conditions Laws Database of Minimum Wages, minimum wage fixing
procedures and criteria are analysed to identify the characteristics of the minimum wage
and to narrow down the research focus based on the identified purposes of minimum
wages. Chapter Three surveys the characteristics of older workers in terms of how a
significant proportion of older workers is active in the workforce, what sectors,
occupations and types of contract older workers are in and what their wage levels are.
Chapter Four consists of broadly two parts. In the first part of the chapter, the research
about the status of older workers in the labour market will be reviewed. The main
purpose of this review is to figure out what factors determine the status of older workers
in the labour market. This review shows that little attention has been paid to the issue of
earned income among older workers. For the second part of this chapter, research about
the effects of the minimum wage is reviewed, with a special focus on older workers.
This displays how little attention has been paid to older workers in the field of minimum
wage research.
Chapter Five also consists of broadly two parts. In the first part, a variety of theories of
the minimum wage, such as the neoclassical models, monopsony models, the Keynesian
14
approach and political economy approaches are discussed. This is ultimately for
exploring a plausible theoretical framework to explain the effects of the minimum wage
based on both political and economic attributes of the policy. A political economy
framework for an enhanced understanding of empirical results will be proposed at the
end of the first part. The second part describes research methods, data, and analyses
procedures used for this research. In this part, the necessity to employ a contextual
analysis with qualitative data as a supplementary method for understanding the
minimum wage effects is argued in association with the alternative theoretical
framework sought in the first part of this chapter.
Chapter Six, as the first chapter of the case study of South Korea, provides an overview
of the national minimum wage and the status of older workers in the labour market in
Korea. It includes brief history of the Minimum Wage Act [최저임금법], its current
system and changes in its level and influence and also surveys labour market
participation and employment among those aged 50 years and over, industrial sectors,
occupations and types of employment which they are involved in and their wage levels.
In the final section of this chapter, public debate and empirical studies about the
minimum wage in Korea are reviewed with a special interest in older workers. Chapter
Seven examines the first two research questions, how minimum wages affect the
distributions of wages and family incomes, employment and the exit from poverty
among older workers and whether the effects of the minimum wage on older workers
are differentiated by its level of increase. Using the Korean Labour and Income Panel
Study (KLIPS) [한국노동패널], linear least squares (OLS) and fixed-effects models are
estimated to identify the effects on the distributions of wages and family earnings and to
demonstrate the aggregate employment effect among older workers. Multilevel discrete-
time event history models for competing risks are also used to verify both transitions
from being employed and from being poor while working among older workers caused
by the increase in the minimum wage. All of the employed models compare two periods
of Korean governments, the Roh, Moo-Hyun government (2003-2008) which
maintained the highest rate of increase in the minimum wage, except the government
period in which it was introduced, and the Lee, Myung-Bak government (2008-2013)
which had the lowest rate of increase, in order to evaluate whether the minimum wage
has a typical economic effect on older workers, regardless of its level of increase.
Chapter Eight discusses how the results from the empirical analysis conducted in the
15
previous chapter can be understood with the political economy framework proposed in
Chapter Five. This involves a contextual analysis mainly of the Minimum Wage
Council’s annual report on the minimum wage fixing process. Chapter Nine, the
Conclusion summarises the main findings of this research and briefly reviews
contributions and policy implications, followed by limitations of and reflection on
research methods exploited.
16
Notes
1 As Sabia (2010, p.593) summarised, there are two main explanations with regard to the minimum wage increases ‘providing little more than symbolic support’ to the working poor. Stigler, G. (1946, The economics of minimum wage legislation, American Economic Review, 36, 358-365), Burkhauser, R.V., Couch, K.A. and Glenn, A.J. (1996, Public policies for the working poor: The earned income tax credit versus minimum wage legislation, Research in Labour Economics, 15, 65-109), and Burkhauser, R.V. and Sabia, J.J. (2007, The effectiveness of minimum wage increases in reducing poverty: Past, present, and future, Contemporary Economic Policy, 25(2), 262-281) argue that ‘the relationship between earning a low hourly wage rate and living in poverty is weak and has become weaker over time’ (Sabia, 2010, p.593). Neumark and Wascher (2002, Do minimum wages fight poverty? Economic Inquiry, 40(3), 315–33), Neumark, Schweitzer, and Wascher (2004, Minimum wage effects throughout the wage distribution, Journal of Human Resources, 39(2), 425–50; 2005), and Sabia (2008, Minimum wages and the economic wellbeing of single mothers, Journal of Policy Analysis and Management, 27, 848–66) contend that while some families of low-skilled workers in employment will be out of poverty by an increase of the minimum wage, other low-skilled workers will lose their jobs or have their hours cut, leading to reduction in their income and fall their families into poverty (Sabia, 2010, p.593).
17
Chapter Two The Minimum Wage
Introduction
The idea of a minimum wage was created in the late nineteenth century for the purpose
of alleviating the conditions of “sweated labour” working for very low wages
(Cunningham, 2007; Neumark and Wascher, 2008)1. It can be defined currently as the
wage floor ensuring by law or by collective bargaining that wage earners receive at least
a minimum of pay protection. The International Labour Organization (ILO) has
provided a definition of minimum wages in the same vein:
the lowest level of remuneration permitted … which in each country has the force
of law and which is enforceable under threat of penal or other appropriate sanctions.
Minimum wages fixed by collective agreements made binding by public authorities
are included in this definition (The ILO Committee on Employment and Social
Policy, 2009, p.2)2.
Minimum wages, which are used as a major labour market instrument by the majority of
countries the world over, present the main idea of the definition provided by the ILO
whether or not they have ratified the ILO’s Conventions on minimum wage fixing
procedures.3
In principle, the minimum wage is a very clear social policy intended to meet the
demands of social justice for low paid workers. However, in reality, things are much
more complicated as a variety of legislative texts and practices exist country by country.
The current expansion from minimum wages to a living wage in debates or in practice
not only reflects the complexities of minimum wages in effect but also adds to them.
Those complexities lead to difficulties in generalising about the issues of the minimum
wage, such as its employment effect, its efficacy as a tool of poverty reduction and its
effectiveness for protecting wages and reducing inequalities. A plausible starting point
for dealing with the issues of the minimum wage is to look at its systems implemented
across countries. The intricate array of all minimum wage systems can be captured to
18
some extent by reviewing motivations for the creation of minimum wages and
minimum wage fixing procedures and criteria held in legislative texts. Since minimum
wage systems also vary over time, the changes in the systems in response to social,
economic, and political flows should be taken into account for an enhanced
understanding of the operation of minimum wages. The first section of this chapter will
give an overview of motivations for the creation of minimum wages, basically on
reference to Starr’s work on it (1993, quoted in Cunningham, 2007). Then, the various
minimum wage fixing procedures and criteria will be reviewed in the following two
sections, using the ILO’s Working Conditions Laws Database of Minimum Wages 2012.
In these sections, we identify the classification of minimum wages, based on the work
accomplished by Eyraud and Saget (2005) and Nolte and Ghosheh (2010). Finally,
founded on the review of legislative texts, the present focus of minimum wage systems
around the world will also be discussed.
Motivations behind Minimum Wages
Motivations for introducing minimum wages reveal the two attributes of social justice
and economic adjustment at the same time. The types of motivations Starr (1993,
quoted in Cunningham, 2007, p.9) suggested - 1) protection of the most vulnerable, 2)
poverty reduction, 3) payment for inputs, 4) fair labour standards, 5) fair competition
and 6) macroeconomic objectives. The rationale for the creation of minimum wages
across countries explicitly or implicitly includes some of the motivations, and according
to time and place, the influence of pressure groups and the relation to other linked
systems, the motivations focus of a minimum wage moves from social justice to
economic adjustment and vice versa. In this regard, changes in the purpose of minimum
wages reflect the transition in main concerns with regard to the minimum wage.
Protection of the most vulnerable is the objective where low paid workers ‘with the
least bargaining power and the most inhuman living standards were the targets of the
policy’ (Cunningham, 2007, p.9). The early minimum wages set by law from the late
19th to the early 20th in New Zealand, Australia, the United Kingdom and the United
States resulted from the concern about “sweatshops” which were often thought of as
19
employing children, women and immigrants. The population addressed in the early
minimum wages worked under the most deprived working conditions at severely low or
even no pay, and furthermore, they did not have any organisational power to negotiate
the improvement of their working conditions including wages.
The aim of poverty reduction is in the same context of protecting the most vulnerable;
however, it identifies the most vulnerable as the poor and intends to protect workers in
all industries against unacceptably low wages by setting a generally applicable lower
rate, instead of fixing rates in line with individual industries and occupations. However,
greater flexibility is shown in practice through general minimum rates fixed at different
levels for various regions or broad industrial sectors, the exemption of a certain group of
workers, or sub-rates for apprentices, young workers and the handicapped; and also, this
purpose ‘presupposes that the influence of minimum wages on average wage
movements is marginal’ since their role is ‘confined to providing ‘safety net’ protection’
(Starr, 1933, pp.40-41). General rates with the basic floor concept are the most widely
used form of minimum wages in recent years, particularly among industrialised
countries.
Payments for input are associated with the interest in what should be paid by employers
rather than the concern about who should be targeted. The primary logic of this
objective is that employers are required to pay for the reproduction of labour and thus
‘wages should be sufficient to cover the cost of food, shelter, clothing and other
necessities that create labour’ (Cunningham, 2007, p.9). The original Wisconsin
minimum wage law in the United States, similar to most of other early minimum wage
laws (Arizona, Arkansas, California, Colorado, D.C., Kansas, Massachusetts,
Minnesota, Nebraska, North Dakota, Oregon, Puerto Rico, South Dakota, Texas, Utah,
Washington) before the end of the 1920s, provided for a minimum wage ‘sufficient for a
worker to maintain himself or herself under conditions consistent with his or her
welfare,’ defined to be ‘reasonable comfort, reasonable physical well-being, decency
and moral well-being’ (Thies, 1991, pp.717-719).
20
The motivation of fair labour standards begins with the contradiction between the idea
that all occupations and industries should have a “fair” wage which is ideally identified
by collective bargaining and the fact that there are some industries which are unable to
organise (Cunningham, 2007). In this regard, the objective of fair labour standards
views ‘a minimum wage set by government as the second-best solution’ (Cunningham,
2007 p.9) for ‘a ‘common rule’ to promote the application of the principle of equal pay
for equal work and to reduce areas of industrial conflict’ (Starr, 1993, p.24). The
Australian states of Victoria and Tasmania can be regarded as the cases of minimum
wages with this role. In those states, the wages board systems, although originally
intended for the protection of the most vulnerable workers at the turn of the nineteenth
century into the twentieth century, ‘have evolved into the predominant institutional
framework for determination of terms and conditions of employment’ in which
employer and employee representatives negotiated ‘the minimum rates for various
occupations in individual industries’ (Starr, 1993, p.28). Japan also has experience with
this role of minimum wages. Up to 1967 most minimum wages were determined on the
basis of inter-employer agreements and applied to only a part or all of an industry in a
given prefecture; since then minimum wage rates have been mostly fixed on the basis of
recommendations of minimum wages councils in the 47 prefectures of the country
(Starr, 1993, p.28).
The aim of fair competition is in line with the objective of fair labour standard;
however, it derives from a concern with unfair competition for factor inputs in
production. Among employers, ‘there is the desire to isolate wages from excessive
competitive pressures, the reasoning being that while producers should be free to
compete in matters of price, design, quality of product or service, it is unfair for
competition to be based on a bidding down of workers’ wages’; in this view, a minimum
wage set through a collective decision-making procedure is conceived of as a means of
preventing such unfair competitive pressures (Starr, 1993, p.24). In several provinces of
Canada, there were ‘special industry rates applied to a limited number of industries
where the problem of unfair competition with respect to wages was believed to be
particularly acute’ (Starr, 1993, p.29). In Ontario, in 1974, there were 84 schedules in
force concerned the clothing industry, the needle trades, construction and barbers’ shops
21
but have declined (Starr, 1993, p.29).
Macroeconomic objectives are related to the likely impacts of minimum wage on ‘the
entire wage distribution, which may lead to economic growth, inflation control, or
political gains’ (Cunningham, 2007, p.9). The use of minimum wages as a
macroeconomic policy instrument assumes that the minimum wage rates ‘will to a large
extent determine the wages actually paid by many workers’ either by their being fixed at
comparatively high levels or by of a comprehensive structure of industrial/occupational
rates linked to them and strengthen the purchasing power of wages which leads to the
increase in the level of demand for goods and services and accordingly, to avoidance of
serious unemployment or of the increased costs associated with the higher wages; ‘it is
also believed in this case that minimum wage fixing can be used to gain increased
government control over wage movements and wage structures without producing
major adverse effects on the resource allocation and incentive functions of wages’
(Starr, 1993, pp.47-48). Unlike most developed countries where minimum wage
systems intended to provide ‘safety net’ protection rather than to have a major influence
on prevailing wages, in a large number of developing countries, such as a number of
East African countries after independence, Colombia, Mexico and Costa Rica, minimum
wages have been often conceived of as the key instrument of wage policy (Starr, 1993).
The motivations behind a minimum wage can be traced by the minimum wage fixing
procedures and criteria employed in each system. Since minimum wage fixing
procedures are ostensibly involved in who makes decisions, they do not immediately
disclose the particular purpose of a minimum wage; instead, discussions and decisions
made in the procedures at a given time and place tell us about the specific purpose in a
certain case rather than a broad objective of a minimum wage. These insights may be
achieved by an in-depth analysis of the procedures. A variety of fixing procedures
across countries that are reviewed in the following section imply this point. In contrast,
each of the fixing criteria is more promptly linked to different aims (Eyraud and Saget,
2008); and hence, analysing the combination of the fixing criteria in a country may give
more concrete insights into what general objectives a certain country focuses on in
terms of its minimum wage system. This will be looked at in another section of this
chapter.
22
Minimum Wage Fixing Procedures
Different minimum wage fixing procedures exisitng around the world can be classified
by two major independent factors: the involvement of government or collective
bargaining as the key decision-makers and the number of minimum wage rates (Eyraud
and Saget, 2005). Based on consideration of those factors, countries can be sorted into
four categories in principle: a single rate for the whole country with the government as
the key decision-maker; multiple rates varying by region or by sector and/or occupation
with the government as the key decision-maker; a single rate for the whole country
determined by collective bargaining; and mutiple rates varying by region or by sector
and/or occupation determined by collective bargaining. These categories can be
compartmentalised according to the extent of government intervention and the
minimum wage fixing level. This means that whether government or collective
bargaining is involved as a key decision-maker is categorised again by the extent of
government intervention as 1) the government sets a minimum wage alone; 2) the
government determines a minimum wage following the direct consultation with the
social partners separately; 3) the government fixes a minimum wage based on advice
and/or recommendation of specialised committee; 4) a special body, mainly a tripartite
or bipartite committee, sets a minimum wage, and the government validate it; and 5)
minimum wages are set by collective bargaining without government intervention
(Eyraud and Saget, 2005; Nolte and Ghosheh, 2010); and whether a single rate or
multiple rates is applied can be divided again into five groups by the minimum wage
fixing level: 1) national level if minimum wages has universal coverage4, 2) regional
level if minimum wages are set by a regional wage-setting mechanism and vary across
the country; 3) national by sector and /or occupation if sectoral and/or occupational
minimum wages are set which apply to the whole country; 4) regional by sector and/or
occupation if sectoral and/or occupational minimum wages are set by regional wage-
setting mechanism; and 5) by sector and/or occupation if sectoral and/or occupational
minimum wages are set which do not automatically apply to all workers concerned in
the region or county (Nolte and Ghosheh, 2010).
23
Table 2.1 Minimum Wage Fixing Procedures among OECD Countries
Key decision-maker
Government¹ Collective bargaining
Government only
Tripartitie/bipartite involved
Government decision
following direct
consultation with the social
partners
Government decision based on recommendations
of specialized body (tripartite/
bipartite)
Special body’s decision
(tripartite/bipartite)
Number of
minimum wage rates
Single National Chile, Israel, Luxembourg, Netherlands, New Zealand, United States*
Czech Republic, Slovenia, Spain
Estonia, France, Hungary, Ireland*, Japan*, Republic of Korea, Portugal, Slovakia, United Kingdom
Australia*, Belgium*, Poland, Turkey
Multi- ple
Regional Canada*, United States*
Canada*, Japan*
Mexico*
National by sector
and/or occupat-
ion
Ireland * Australia*, Belgium*, Finland* Greece**, Mexico*
Austria*, Finland*, Iceland, Norway**
Regional by sector
and/or occupation
Canada* Canada*, Japan*
Austria* Switzerland
By sector/ occupa-
tion
Denmark, Germany, Italy, Sweden
Source: ILO, Minimum Wage Fixing Database 2012 Notes: 1. In many countries within this category, in certain sectors and/or occupations or at an enterprise level collective bargaining sets minimum wage rates that are higher than the minimum rates set by an government or an authority. These are not included in the table as the rates thus set are an addition to the basic statutory minimum. * Some countries have several types of fixing mechanisms. ** The categorisation of these two countries is not in accord with the previous analysis among which the most recent is conducted by Nolte and Ghosheh based on the ILO’s minimum wage fixing database 2009.
24
Table 2.1 shows a reclassification of the minimum wage fixing procedures among the
OECD countries in 2012, based on the vital factors identified by Eyraud and Saget in
2005 and by Nolte and Ghosheh in 2009, as explained above. In the majority of
analysed countries (64.7 per cent), the government sets a single minimum wage rate at
the national level. Among the countries belonging to this category, the most popular
system is the government determination of a single national minimum wage based on
the recommendation of a special body usually composed of employee, employer and
government representatives (26.5 per cent of the total); the second most commonly used
system among the OECD countries is where the government sets a single national
minimum wage alone without any obligation to consult the social partners or a special
body (17.6 per cent of the total); next is that of a tripartite committee fixing a single
national rate and the government simply confirming the decision (11.8 per cent of the
total); and the government determination of a single national rate following the direct
and separate consultation of the social partners is found in three among the analysed
countries (8.8 per cent of the total). At this point, it should be noted that, in practice, the
importance of consultation is recognised even in the case where the government is the
only key decision-maker, and the three types except minimum wage determination by a
special body are often very similar (Eyraud and Saget, 2005). Regardless of the
variation by the extent of the government intervention, a single national minimum wage
determination by the government is found among the most developed countries such as
France, Japan, the United Kingdom and the United States, and also among the countries
which have become OECD members since the 1990s, for instance, Chile, Czech
Republic, Estonia, Hungary, Israel, Republic of Korea, Slovakia and Slovenia. Indeed,
eight of the nine countries which have relatively recently joined the OECD have
adopted one of the systems in which the government plays the main role in setting a
single national minimum wage.
Meanwhile, minimum wage determination by collective bargaining is observed only in
multiple rates, in three fixing levels. This means that there is no case in which collective
bargaining fixes a single national rate or regional rates applying to all workers in a
region or area. In nine countries (26.5 per cent), collective bargaining determines
multiple rates in three fixing levels: in Denmark, Germany, Italy and Sweden, the social
25
partners directly negotiate wages through sectoral and/or occupational agreements, and
thus no minimum wage actually exists; in several countries including Iceland and
Norway, a national multi-sectoral agreement sets a single minimum wage rate for the
whole country; and in Switzerland, multi-sectoral agreements varying by region
determine a minimum wage rate for a region or area. All countries belonging to the type
of minimum wage determination by collective bargaining are well developed nations
with high per-capita income levels.
A minimum wage may also be set through decentralised collective bargaining in most of
countries adopting a nationl minimum wage determination by government, which
normally must not be less than the national minimum wage level. Apart from this, nine
of the thirty four OECD countries have multiple types of fixing mechanisms. Australia,
Belgium, Ireland, Japan, Mexico, and the United States have more than two different
fixing levels in a key decision-maker; and Austria, Canada and Finland have various
combinations of a key decision-maker and a fixing level. Eyraud and Saget (2005)
suggested two reasons for minimum wage rates to be set by region, the administrative
and political stucture of the country and allowance for differences in living standards.
Although they may not cover the whole range of countries, the two reasons can work as
explanation for the countries having multi-types of minimum wage procedures.
Minimum Wage Fixing Criteria
Minimum wage fixing procedures are related to who and how a minimum wage is set
and at what level it works. Minimum wage fixing criteria, meanwhile, are concerned
with what motivations or objectives a minimum wage has. Countries take different
criteria into account for minimum wage setting, and it means that the aims of minimum
wage vary by country according to the criteria considered. In this regard, as the
motivations behind minimum wages disclose the two properties of social justice and
economic adjustment as mentioned in the eariler section, the criteria are divided into
two broad categories: the first is of more social nature addressing the needs of workers,
and the other is more economically oriented, focusing on the country’s economic
conditions (Eyraud and Saget, 2005). Among the criteria mainly covered by the ILO’s
26
database 2012, the level of wages and income in the country, the needs of workers and
their families, social security benefits, inflation rate and the cost of living can be seen as
having more of social nature, while productivity, capacity of enterprises to pay and the
level of employment are deemed to be of greater economic concern. Economic
development can be regarded as cutting both ways depending on the economic situation
in a country.
Table 2.2 shows the criteria of minimum wage fixing taken into consideration among
the OECD countries. The criteria most frequently considered in these countries are the
level of wages and income and the cost of living, followed by economic development,
inflation rate and the need of workers and their families in sequence. Then both
productivity and the level of employment rank fifth, and social security benefits and the
capacity of enterprises to pay in order are at the bottom of the scale. The level of wages
and income in the country are taken into account for mostly three objectives when
determining the minimum wage rate: the equal pay for equal work, the prevention of the
wage gap expansion and/or the allowance for the existing regional difference in wages.
The purpose, the equal pay for equal work is not clearly stated in other countries, but in
Australia, the Fair Work Act 2009 specifies that Fair Work Australia, the minimum
wage fixing panels, must ‘have regard to the principle of equal remuneration for work
of equal or comparable value’ (Fair Work Act 2009 §284(1)(d), cited from the ILO legal
database). The object to avoid the expansion of the wage gap in a country is the most
expected outcome by the countries considering the level of wage for minimum wage
fixing. France, Ireland, Israel and the Netherlands explicitly determine it about the
criterion: in France, Labour Code states that ‘annual adjustment to the national
minimum wage rate should eliminate the imbalance between the national minimum
wage rate and the progression of general economic conditions and income’ (Labour
Code §L3231-9, cited from the ILO legal database); in Ireland, ‘if no agreement
between employer and employee representatives has been reached, the Labour Court
when making a recommendation to the Minister concerning the minimum wage rate has
to take the movement to earnings since the last minimum rate of pay into account’
(National Minimum Wages Act S.13(5), cited from the ILO legal database); and very
strictly enforced in Israel and the Netherlands, ‘the minimum wage is 47.5 per cent of
27
Table 2.2 Minimum Wage Fixing Criteria among OECD Countries
Social nature both Economic oriented
Level of wages
Social security benefits
Needs of
workers and their
families
Cost of
living
Inflation rate
Econom -ic
develop ment
Produc tivity
Capacity of
business to pay
Level of Employ -ment
No criteria
Australia √ √ √ √ √ √ √ √
Austria √ Belgium √
Canada √ Chile √ √
Czech √
Estonia √ √ √ √ √
Finland √
France √ √ √ √
Germany √ Greece √
Hungary √ √ √ √ √
Iceland √ Ireland √ √ √ √
Israel √ √
Italy √
Japan √ √ √ √
Korea √ √ √ √
Luxembourg √ √ √
Mexico √ √ √ √ √ √
Netherlands √ √ √ √
New Zealand √ Norway √ Poland √ √ √ √ √ √ √ √
Portugal √ √ √ √ √
Slovakia √ √ √ √ √
Slovenia √ √ √ √
Spain √ √ √ √ √ √
Switzerland √ Turkey √ √ √ √
UK √
US √ √ √ √
Source: ILO, Minimum Wage Fixing Database 2012 Notes: Austria and Germany are included in the ILO’s database 2012 on the criteria of minimum wages, with no information and thus regarded as with no criteria while Denmark and Sweden are excluded in the criteria part of the database and taken away from the table.
28
the average wage’ in Israel (Minimum Wages Act §1, cited from the ILO legal database),
which is automatically raised in accordance with changes in average wage levels, and
‘minimum wage increases are automatically indexed to estimated increases in average
negotiated wage rates in both the public and private sectors in the current year and
revised accordingly by the Ministry of Social Affairs and Employment’5 in the
Netherlands (Minimum Wage and Minimum Leave Allowance Act Art.14, cited from the
ILO legal database). The use of the level of wages and income when determining
minimum wages is found in countries which allows for the regional difference in wages,
seeking more affordable levels of minimum wages in each region. In Japan, regional
minimum wages are specified with consideration given to the wages of workers in the
region.
Considering reference to the cost of living has the main purpose of maintaing the
purchasing power among low pay workers. The inflation rate also concerns the same
object, and the needs of workers and their families can be regared as part of the
reference to the cost of living and inflation rate (Eyraud and Saget, 2005). Due to the
analogous attribute among the three criteria, they are deemed alternatives to each other
for the same purpose, keeping the workers’ purchasing power. Twenty two countries
take at least one of the three criteria into considertation when minimum wage fixing;
and seven countries (Australia, Estonia, Mexico, Poland, Portugal, Spain and Turkey)
allow for all three. However, in order to achieve the proposed goal, the maintenance of
workers’ purchasing power, how strictly each criterion is enforced would be more
critical than how many criteria are considered. Some countries more concretely stipulate
what they do for the consideration of the cost of living, inflation rate and/or the needs of
workers and their families: in Begium and France, minimum wage rates are indexed to
consumer price index (CPI); in France, in particular, ‘the increase in purchsing power of
the minimum wage rate must be equal to at least half the total increase in the purchasing
power of the average hourly wage as set forth in the quarterly inquiry carried out by the
Ministry of Labour’ (Labour Code §L3231-8, cited from the ILO legal database);
Poland and Slovakia take account of price index development and consumer prices,
respectively; in Australia, the relative living standards is required to be allowed for in
addition to the needs of the low paid; and in Mexico, ‘the National Commission on
29
Minimum Wages shall consider the investigation and studies carried out to set the
minimum wages according to the budget that a family may require to cover material
needs, such as accomodation, household goods, food, clothing and transport, social and
cultural needs, such as the assistance to live performances, the performing of sports, the
use of libraries and other cultural activities; and the needs related to the education of the
children’ (Federal Labour Act Art.90, art.562 II(a), cited from the ILO legal database).
Economic development as a minimum wage fixing criterion is typically for preventing
too high increases and thus seeking more viable levels of minimum wages; and
economic oriented criteria including productivity, the capacity of enterprises to pay and
the level of employment also have the same purpose. However, economic development
can be more positively taken into account for minimum wage setting. In the case that
Eyraud and Saget (2005) refered to, where the minimum wages are set not just for
covering the basic needs of the poorest workers and their families but also for enabling
them to benefit from growth in general in the same way that other workers do, the
criterion, economic development are considered with the aims of poverty reduction. As
to this, more discussion will be presented in the following section.
At this point it should be noted that the allocation of each criterion to either a category
of social nature or one of economic concern, even among other criteria which were not
included in the discussion above, is not clear-cut in practice because the same criterion
can be used in a different way or even the opposite one. The inflation rate is usually
taken into consideration in order to avoid the purchasing power of workers being
reduced; however, in Ireland, ‘the Labour Court must consider the likely impact that a
recommendation made would have on inflation in the economy’ (National Minimum
Wage Act S. 13(5)). Social security benefits, though they were not included above as a
universal criterion for minimum wage fixing, are also taken into account for quite
different reasons. In Hungary, Japan and the Netherlands where social security benefits
are included as a minimum wage fixing criterion, the consideration of social security
benefits is for not upsetting the social benefits budget and preventing the big gap of
income among people; but, in China, the minimum wage should be set higher than
unemployment benefits in order to encourage the unemployed to find jobs (Eyraud and
Saget, 2005).
30
Whereas the majority of the OECD countries adopts a part of the criteria discussed
above, some states including Austria, Canada, Germany, Greece, Iceland, New Zealand,
Norway and Switzerland do not specify certain criteria for minimum wage setting.
However, they maintain the highest level of minimum wage with more than 1,000 US
dollar as a monthly minimum rate as of 2009 (Nolte and Ghosheh, 2010). In this regard,
the key is the fixing procedures and government’s focus when using a minimum wage
as a tool for macroeconomic and/or social policy.
Present Focus of Minimum Wage Research
From the review of the minimum wage systems, particularly of the fixing criteria
among the OECD countries using the ILO’s legal database 2012, the present focus with
regard to the purposes of the minimum wage can be narrowed down to three topics,
poverty, wage inequality and employment which are also the most controversial issues
in recent minimum wage debates.
Firstly, the motivations behind minimum wages is related to poverty reduction. The
earliest minimum wage was based on the fact that workers were paid extremely low
wages no matter how much they produced and needed to be provided the least necessary
to reproduce the labour; however, the notion of protection from poverty has been
expanded with the idea of workers’ needs. What is included into workers’ needs makes
the view of protection from poverty vary by time and space. Eyraud and Saget (2005,
p.41) suggested three transition patterns of the variation in the needs of workers: ‘a
move from the notion of basic needs to the requirements for a decent standard of
living’; ‘an extension of the notion of a decent standard of living to include different
aspects of social protection outside the enterprise such as pensions, family benefits,
etc.’; and ‘an even wider extension, where the minimum implies not just covering the
needs of the poorest workers and their families, but also enabling them to benefit from
growth in general in the same way that other workers do’. A shift from the concept of
basic needs to the prerequisite for a decent standard of living refers that not only the
goods to meet a worker’s physical necessity but also the requirements for a decent
living such as education, health and social security for retirement are considered when
31
calculating workers’ basic needs. Mexico is a good example where legislative texts
proclaim the requirements for a decent standard of living. As mentioned in an earlier
section, in Mexico, social and cultural needs including the assistance to live
performances, the performing of sports, the use of libraries and other cultural activities
as well as expenditures for subsistence or survival such as food, clothing and shelter are
taken into account as the basic needs of workers. An extended notion of a decent
standard of living to include different aspects of social protection indicates that the
minimum wage functions as a ‘social floor’ by linking it to social security benefits. In
these systems, retirement benefits, disability payments, unemployment benefits and/or
maternity benefits are adjusted with a rise in the minimum wage so that the purchasing
power of the most vulnerable beneficiaries is preserved. However, this notion has
inherent limitations in practice because a rise in the minimum wage may potentially
cause a large increase in social security costs and therefore many governments are
reluctant to raise minimum wage levels. In the widest notion that a minimum wage
enables the poorest workers and their families to benefit from growth in general in the
same way that other worekrs do, the minimum wage functions as an instrument of
redistribution rather than a tool for reduction of absolute poverty, depending on the
country’s strong economic growth. France in 1970 and the Netherlands in 1968 had the
objectives behind the implementation of minimum wages that the ‘guaranteed’
minimum wage was replaced by the minimum ‘growth’ wage (Eyraud and Saget, 2005,
p.45).
Secondly, minimum wages have relevance to the objectives of reducing wage inequality
and discrimination. Increases in the minimum wage have an effect of narrowing the
wage hierachy if there is no similar rise in higher wages. Although there are few cases
in which legislative texts declare the reduction of wage inequality as an objective, many
countries use minimum wage policy in order to cut back the wage gap at some stage.
However, the minimum wage works as a wage floor to push the whole wage distribution
onto the higher level without curtailing the wage gap in some developed countires, and
in this case lessening the wage hierarchy is not easily achieved by the minimum wage.
Minimum wages can be also used to help to oppose wage discrimination. Beyond the
fact that more women than men are in low paid jobs, which informs the wage inequality
32
between women and men, women are often paid less than men for the same work. This
kind of wage discrimination is often found in some vulnerable age groups as well.
Australia, Hungary and Portugal specify the principle of ‘equal pay for equal work’ in
their minimum wage law in order to prevent the wage discimination. The National
minimum wage in the United Kingdom also addressed the gender pay gap when newly
introduced (Grimshaw, 2011).
Thirdly, the minimum wage is connected with employment or unemployment. Unlike
the relation with other objectives discussed above, the minimum wage itself does not
intend to raise the employment rate nor to decrease the unemployment rate. Due to the
potential negative effects of the minimum wage on employment, several economic
motivations such as hindering a rise in production costs, preventing out-of-hand
inflation and maintaining general economic situation are behind the relation between the
minimum wage and employment or unemployment rates. In other words, such
economic objectives are accomplished in the way of impeding the increase in minimum
wage rates or not encouraging the increase by taking into account of the level of
employment or unemployment rates when the minimum wage fixing while the
ostensible reason for the minimum wage is still kept. Regardless of the fact that whether
or not minimum wages have negative effects on employment is very controversial and
far from conclusive, the level of employment has been adopted as an criterion of
minimum wage fixing for the economic purposes in more and more countires, and eight
among the OECD countries (Australia, Hungary, Ireland, Mexico, the Netherlands,
Poland, Slovakia and Slovenia) currently take into account of it for minimum wage
setting.
Conclusion
This chapter reviewed minimum wage systems across different countries. The minimum
wage is a social policy intended to meet the demands of social justice for low paid
workers in principle, but is more complex in practice in terms of its purpose, fixing
procedures and criteria. The motivations behind minimum wages, which have been
addressed since the advent of the first minimum wage in the late nineteenth century, can
33
be summed up as protection of the most vulnerable, poverty reduction, payment for
inputs, fair labour standards, fair competition, and macroeconomic objectives. This
suggests that the motivations behind minimum wages display both the attributes of
social justice and economic adjustment at the same time, and their focus moves from
one attribute to the other with a variety of influences such as time and place, pressure
groups, and other related systems. The purpose of a minimum wage can be traced by its
fixing procedures and the criteria employed in each system. While the fixing criteria are
immediately linked to different aims so that the combination of the criteria in a country
informs us of a general objective that country focuses on in terms of its minimum wage
system, the fixing procedures which are involved in who makes the decision and at what
level a minimum wage operates would reveal the purpose through discussions and
decisions within them. The fact that the majority of the fixing procedures adopt a type
of multilateral consultation and even the case where the government is the only key
decision-maker recognises the importance of consultation in practice, indicates the
value of discussions and decisions held in the fixing procedures for understanding the
effects of minimum wages. This is the main basis for the new theoretical framework
advanced in Chapter Five and, subsequently, to understand the quantitative empirical
results discussed in Chapter Eight. From the review of the minimum wage systems,
particularly of the fixing criteria, the present focus with regard to the purposes of the
minimum wage is narrowed down to three topics, poverty, wage inequality and
employment. These topics are the main ones examined in this thesis.
34
Notes
1 The early minimum wages set by law in New Zealand in 1894, in Australia in 1896, and in England in 1909 were mainly intended to prevent employers from hiring children, women, apprentices, or wage workers in certain industries such as chain making, lace finishing, paper and cardboard boxing making, and tailoring at no or very low pay (Neumark and Wascher, 2008). 2 It is originally from ILO (1992). Minimum Wages: Wage-Fixing Machinery, Application and Supervision. International Labour Conference, 79th Session, Report III (Part 4B) (General Survey), Geneva: International Labour Office. 3 There are two international labour standards on minimum wages provided by the ILO, the Minimum Wage Fixing Machinery Convention, 1928 (No.26) and the Minimum Wage Fixing Convention, 1970 (No. 131). Convention No.26 asks its ratifying countries ‘to create or maintain machinery whereby minimum rates of wages can be fixed for workers employed in certain of the trades or parts of trades (and in particular in home working trades) in which no arrangements exist for the effective regulation of wages by collective agreement or otherwise and wages are exceptionally low’ (Minimum Wage Fixing Machinery Convention 1928 No.26, Art. 1). Convention No.131 adjures the member who ratify it ‘to establish a system of minimum wages which covers all groups of wage earners whose terms of employment are such that coverage would be appropriate’ (Minimum Wage Fixing Convention 1970 No.131, Art. 1). Both conventions commonly require the full consultation of the social partners while any of them does not impose a national statutory minimum wage (Eyraud and Saget, 2008). 4 Nolte and Ghosheh (2010) noted that this also includes countries which determine minimum wages at national level, varying by area or region, such as Thailand and Vietnam. However, among the OECD countries, there is no case of this. 5 The minimum wage rate in the Netherlands may be frozen at its current level in the two situations: ‘if the average wage rise is considered too high, and as a result an increase of unemployment is expected, or if the increase in the amount of social welfare benefits, which are based on minimum wage rates, increases to such an extent that a significant increase in premiums or taxes is necessary’ (Minimum Wage and Minimum Leave Allowance Act Art.14 Decree on the adjustment of the minimum wage per 1 July 2012 Explanatory note).
35
Chapter Three Older Workers in the Labour Market
Introduction
Whether the minimum wage is an influential policy in particular for older workers has
not been focused on much in comparison to younger age groups. There are several
reasons for this academic inclination that will be shown in Chapter Four, such as the
relatively small proportion of older employees as a result of the trend towards early
retirement throughout the 1970s and 1980s, the big differential across countries in the
proportion of older workers in the labour force even after the end of the trend since the
mid-1990s, the focus of attention on employment and inequality issues among younger
workers and female workers along with the sign of the economic turndown and the level
of the unemployment rate worsening, and the tendency that workers with higher
education and higer wage work longer in their later life. Linking the minimum wage to
older workers, at least three points with regard to the characteristics of older workers
should be clarified: how a significant proportion of older workers is active in the
workforce; what sectors, occupations and/or types of employment contract older
workers are in; and how they are spread in the wage distribution.
In this chapter, the labour force participation rate and the employment rate of older
workers, the types of contracts and sectors that they are involved in, and their wage
level are reviewed. The labour force participation rate is defined as the proportion of
people of a given age who are employed, self-employed or actively seeking jobs as a
percentage of the total population in that same age group; and the employment rate, as
the proportion of employed or self-employed people of a given age as a percentage of
the total population in that same age. The labour force participation rate and the
employment rate reflect both the extent of older people’s needs to be engaged in work
and the capacity of an economy to embrace the needs, respectively. In addition to these
rates, it is to be noted that the unemployment rate of an age group typically refers to the
number of people of a given age who are neither employed nor self-employed but
36
actively seeking work as a percentage of the total number of economically active people
- employed, self-employed, or actively seeking work - in that same age group. The
unemployment rate implies a limit in the capacity of an economy to embrace people’s
need to work. A high unemployment rate is associated with high involuntary exit from
the labour market. This tendency is more likely to be among older workers, but
unemployment is not easily distinguished from exit from the workforce in data. In this
regard, the unemployment rates used in Chapter Seven of this thesis were measured as
the proportion of people of a given age who were neither employed nor self-employed
or in non-wage family business work as a percentage of the total population in that same
age group. Meanwhile, the types of contracts and sectors which older workers are
involved in and their wage level would suggest to what extent older workers are
engaged in low-wage work and potentially influenced by the minimum wage.
Labour Market Participation
As a strong trend to early retirement throughout the 1970s and 1980s came to an end in
the mid-1990s and during the 2000s, the labour force participation rate of older workers
has crept up (OECD, 2011). The participation rate for those aged 55-64 in the OECD
countries has increased significantly from 48.5 per cent in 1995 to 57.8 per cent in 2011,
compared to the slightly increased one for their ‘prime aged’ counterparts aged 25-54
from 79.8 per cent to 81.3 per cent and contrasting with the decreased rate of those aged
15-24 from 52.9 per cent to 47.2 per cent in the same year. Figure 3.1 shows that the
rise in the participation rate is also found in the older age groups such as those aged 65-
69 and over 70 although the rates of increase among the groups are not conspicuous as
much as the one among those aged 55-64. Unlike the decline among younger workers
aged 15-24 and the stasis among the middle aged workers aged 25-54, the participation
rate of older workers display a tendency to increase even after the financial crisis. The
rate increased by 1.4 percentage points in both groups aged 55-64 and 65-69 and by 0.3
percentage points among workers aged over 70 between 2008 and 2011. The increase in
the participation rate is remarkable particularly among women aged 55-64. As shown in
Figure 3.2, the rate for the group has increased by 16.0 percentage points, from 36.2 per
cent in 1995 to 52.2 per cent in 2015.
37
Figure 3.1 Labour Force Participation Rates by Age Group in OECD Countries, 1970- 2011 (%)
Source: OECD, Labour Force Statistics database
Figure 3.2 Labour Force Participation Rates of Workers Aged 55+ by Sex and Age Group in OECD Countries, 1995-2015 (%)
Source: OECD, Labour Force Statistics database
The increasing pattern of the participation rates for older workers since the mid-1990s is
found in many OECD countries, in particular among those aged 55-64, despite the
difference in the steepness of each rise. However, as seen in Figure 3.3, deviating from
this pattern, the participation rates have fluctuated narrowly and thus remained at a
relatively similar level in Greece, Iceland, Japan, Korea and Mexico; and the increase
after the financial crisis is not shown in Ireland, Japan, Portugal, the United Kingdom
and the United States in which the participation rates of older workers aged 55-64 were
almost flat between 2008 and 2011. In Poland and Turkey, the participation rates have
declined until 2008 and henceforth increased to a great extent. Along with some
0
20
40
60
80
100 15 to 24 25 to 54 55 to 64 65 to 69 70+
1995 2005 2008 2015 55 to 64 62.6 65.6 67.1 70.5 65 to 69 22.4 27.0 29.2 32.5 70+ 4.6 5.8 7.4 8.7
0 10 20 30 40 50 60 70 80
MEN
1995 2005 2008 2015 55 to 64 36.2 43.5 46.0 52.2 65 to 69 11.7 14.5 16.3 19.6 70+ 0.9 1.6 2.2 3.5
0 10 20 30 40 50 60
WOMEN
38
Figure 3.3 Labour Force Participation Rates of Workers Aged 55-64 among OECD Countries, 1970-2011 (%)
Source: OECD, Labour Force Statistics database
0
20
40
60
80
100
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Australia Canada
Japan New Zealand
United States OECD countries
0
20
40
60
80
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Austria Belgium France Germany
Luxembourg Netherlands Switzerland OECD countries
0
20
40
60
80
100
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Denmark Estonia Finland Iceland Ireland Norway Sweden United Kingdom OECD countries
0 10 20 30 40 50 60 70
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Greece Italy
Portugal Slovenia
Spain OECD countries
0 10 20 30 40 50 60 70
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Czech Republic Hungary
Poland Slovak Republic
OECD countries
0 10 20 30 40 50 60 70
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Chile Israel
Korea Mexico
Turkey OECD countries
39
exceptions in the pattern of the participation rates, the rate varies by country from 33.0
per cent in Turkey to 84.1 per cent in Iceland as of 2011, for example. The average of
the participation rates for older workers aged 55-64 in the OECD countries was 57.8 per
cent in 2011, which is very close to the rates only in two countries, the Netherlands and
the United Kingdom. The participation rates for older workers exceeed 60 per cent in
Australia, Canada, Chile, Denmark, Estonia, Finland, Germany, Israel, Japan, Korea and
the United States, and even 70 per cent in five countries, including Iceland, New
Zealand, Norway, Sweden and Switzerland. At the other end of the spectrum, eleven
countries (Austria, Belgium, Czech Republic, France, Greece, Ireland, Luxembourg,
Mexico, Portugal, Slovakia and Spain) have the participation rates of 40 per cent or
over but below the OECD average, and the other five countries (Hungary, Italy, Poland,
Turkey and Slovenia) have less than 40 per cent of older workers active in the labour
force.
The employment rate of older workers is a more critical measure of their labour market
conditions in as much as the rate informs of the extent that they are embraced in practice
in an economy. Linking to minimum wages, the rate enables a rough assumption about
the population size of older workers who are likely to be affected by minimum wages.
The employment rates for older workers in the OECD countries have similarities with
the labour force participation rates for them in the countries in many ways. First of all,
the employment rate of older workers aged 55-64 in the OECD countries averaged 54.4
per cent in 2011. It is still low compared to 75.4 per cent, the average rate among ‘core-
age’ workers aged 25-54; however, considering the fact that the average rate for younger
workers aged 15-24 hit 39.5 per cent in the same year, their lowest employment rate
since 1970, the rate for older workers is not insignificant. Second, as seen in Figure 3.4,
employment rates have steadily increased since the mid-1990s in all three groups of
older workers aged 55-64, 65-69 and over 70. The rise in the employment rate is found
in both men and women, and the rate has sharply increased particularly among women
aged 55-64, as in the labour force participation rate, from 34.6 per cent in 1995 to 50.0
per cent in 2015 (Figure 3.5).
40
Figure 3.4 Employment Rates by Age Group in OECD Countries, 1970-2011 (%)
Source: OECD, Labour Force Statistics database
Figure 3.5 Employment Rates of Older Workers Aged 55+ by Sex and Age Group in
OECD Countries, 1995-2015 (%)
Source: OECD, Labour Force Statistics database
Finally, as shown in Figure 3.6, the employment rate and its pattern also differ by
country as the labour force participation rate and its pattern do. In 2011, the
employment rates ranged from 31.2 per cent to 79.5 per cent among the OECD
countries. In six countries, including Australia, Israel, Japan, Korea, Norway and
Switzerland, the employment rates for those aged 55-64 were over 60 per cent, and in
Iceland, New Zealand and Sweden, over 70 per cent of the counterparts were
employeed. However, sixteen countries had the employment rates for the age group
below the OECD average, and in eight of them, the rates were less than 40 per cent.
0 10 20 30 40 50 60 70 80 90
15 to 24 25 to 54 55 to 64 65 to 69 70+
1995 2005 2008 2015 55 to 64 59.0 62.4 64.2 66.8 65 to 69 21.7 26.3 28.3 31.4 70+ 4.6 5.8 7.3 8.6
0 10 20 30 40 50 60 70 80
MEN
1995 2005 2008 2015 55 to 64 34.6 41.7 44.3 50.0 65 to 69 11.3 14.1 15.9 19.1 70+ 0.9 1.6 2.1 3.4
0 10 20 30 40 50 60
WOMEN
41
Nevertheless, the employment rates are not dispersed from the average as much as the
labour force participation rates, and thus the gap between the average and the
employment rate in each country is not as wide as the one between the participation rate
in individual country and its average.
Figure 3.6 Employment Rates of Workers Aged 55-64 among OECD Countries, 1970- 2011 (%)
Source: OECD, Labour Force Statistics database
0
20
40
60
80
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Australia Canada Japan New Zealand United States OECD countries
0
20
40
60
80
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Austria Belgium France Germany Luxembourg Netherlands Switzerland OECD countries
0
50
100
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Denmark Estonia Finland Iceland Ireland Norway Sweden United Kingdom OECD countries
0 10
20 30 40
50 60
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Greece Italy Portugal Slovenia Spain OECD countries
0
20
40
60
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Czech Republic Hungary Poland Slovak Republic OECD countries
0
20
40
60
80
19 70
19 73
19 76
19 79
19 82
19 85
19 88
19 91
19 94
19 97
20 00
20 03
20 06
20 09
Chile Israel Korea Mexico Turkey OECD countries
42
Non-Regular Employment and Sectoral Employment Structure
What types of employment and what sectors the growing number of older workers are
in could be an indicator to predict how many older workers will be affected by
minimum wages. In general, non-regular employees such as part-time and temporary
workers are more likely than their full-time and permanent counterparts to be low-wage
workers; and the employees in sectors of industry, typically including the retail trade,
hotels and restraunts, transport, social services and some areas of manufacturing are
regarded as being engaged in low pay work, which are highly expected to be influenced
by minimum wages.
Workers aged 55 and over are more likely than workers aged 25-54 to be employeed in
part-time jobs in the OECD countries. As shown in Figure 3.7, while the incidence of
part-time employees aged 25-54 has ranged from 10.8 to12.4 since 2000, the one of the
counterparts aged 55-64 has maintained over 16 per cent during the same period. Part-
time employment is the most popular among workers aged 65 and over. Although the
rate has decreased in the OECD countries since 2000, it still remained 36.9 per cent in
2011, which was incomparable to the rates for other age groups. Looking at part-time
employment among older workers by sex, women are much more likely to be engaged
in part-time work than men, and the incidence greatly rises at age of 65 or over for both
(Figure 3.8).
Figure 3.7 Incidence of Part Time Employment by Age Group in OECD Countries, 2000- 2011 (%)
Source : OECD, Labour Force Statistics database, ‘Incidence of Full-Time Part-Time Employment Based on Common Definition’
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
15 to 24 23.3 24.1 24.6 25.3 25.9 26.3 26.3 26.4 27.2 29.2 29.3 28.5
25 to 54 10.8 11.0 11.1 11.2 11.4 11.6 11.4 11.4 11.4 12.2 12.4 12.0
55 to 64 16.5 16.6 16.3 16.6 16.5 16.3 16.3 16.3 16.2 16.5 16.6 16.3
65+ 42.9 42.8 42.4 41.3 42.5 41.8 41.2 40.8 39.9 40.9 39.5 36.9
0 10 20 30 40 50
15 to 24 25 to 54 55 to 64 65+
43
Figure 3.8 Incidence of Part Time Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%)
Source: OECD, Labour Force Statistics database, ‘Incidence of Full-Time Part-Time Employment Based on Common Definition’
But the incidence of part-time employment in the two age groups differs significantly
across countries (Table 3.1). In Ireland, the Netherlands and Switzerland, over 35 per
cent of workers aged 55-64 were working part-time in 2011 while the rate was under 10
per cent in five OECD countries including Chile, Czech Republic, Hungary, Slovakia
and Turkey; and the share of part-time employment among those aged 65 and older was
more than 45 per cent in 17 OECD countries and over 70 per cent in Austria, Belgium,
Germany and the Netherlands while the rate was below 20 per cent in Chile, Greece and
Turkey. However, even in countries where the incidence of part-time employment was
much lower than other OECD countries in the two older age groups (Chile and Turkey),
the rates increased by from 3.2 to 12.9 pertange points between 2000 and 2011. It is
assumed that such small proportion of part-time employment for older workers in the
two countries is due to the composition of types of employment in each economy. In
fact, the rate of part-time employment for the total employees in Chile increased from
1.6 per cent in 2000 to 8.6 per cent in 2011, and the rate in Turkey, from 2.5 per cent to
4.6 per cent during the same period; these are very low compared to the OECD average
which was 13.5 per cent in 2000 and 15.3 per cent in 2011 (OECD Statistics, Labour
Force Survey database, ‘Incidence of Full-Time Part-Time Employment Based on
Common Definition’).
2001 2008 2011 2016 Men 7.7 7.6 7.9 7.6
Women 28.2 26.3 26.2 24.8
0
5
10
15
20
25
30
55-64
2001 2008 2011 2016 Men 35.6 33.2 33.0 30.6
Women 52.2 47.6 46.7 45.0
0
10
20
30
40
50
60
65+
44
Table 3.1 Part Time Employees Aged 55-64 and 65+ by Country in 2011
Part-time employees
aged 55-64
Country Part-time employee
aged 65+
Country
Above the OECD
average, 16.3% (x ≥ 20%)
Australia, Austria,
Belgium, Germany,
Ireland, Italy,
Netherlands, New
Zealnd, Norway,
Switzerland, United
Kingdom
Above the OECD
average, 36.9% (x ≥ 45%)
Australia, Austria,
Belgium, Czech Rep.,
Denmark, Finland,
Frnace, Germany,
Ireland, Luxembourg,
Netherlands, New
Zealnd, Norway, Poland,
Slovenia, Sweden,
United Kingdom
About the OECD
average, 16.3%
(10% ≤ x < 20%)
Canada, Denmark,
Finland, France,
Greece, Iceland, Israel,
Luxembourg, Mexico,
Poland, Portugal,
Slovenia, Spain,
Sweden, United States
About the OECD
average, 36.9%
(25% ≤ x < 45%)
Canada, Estonia,
Hungary, Israel, Italy,
Mexico, Portugal, Slovak
Rep., Spain, United
States
Below the OECD
average, 16.3% (x <
10%)
Chile, Czech Rep.,
Hungary, Slovak Rep.,
Turkey
Below the OECD
average, 36.9%
(x < 25%)
Chile, Greece, Turkey
Source: OECD, Labour Force Statistics database, ‘Incidence of Full-Time Part-Time Employment Based on Common Definition’ Note: The data are not available for both age groups in Japan and Korea and for 65+ group in Iceland and Switzerland.
In the incidence of temporary employment in the OECD countries, there is no
significant difference between workers aged 25-54 and those aged 55-64. The rate
ranged from 8.7 to 10.0 between 2000 and 2011 in both age groups (Figure 3.9). Also,
the difference between men and women is not consistent in the two older age groups,
55-64 and 65 and older, and the gap between the gender groups has declined from 2001
to 2016 (Figure 3.10). But, as shown in Figure 3.9, employees aged 65 and older were
more likely than those in the two age groups to work in temporary jobs during the same
period. The incidence of temporary employees aged 65 and older in the OECD countries
was 19.5 per cent in 2011, but it also varies by country. Over 30 per cent of workers
aged 65 and older in Belgium, France, the Netherlands, Poland, Slovakia and Sweden
and even over 50 per cent of their counterparts in Czech Republic, Korea and Slovenia
45
were working in temporary jobs while the rate was under 10 per cent in six OECD
countries and below five per cent in Austria and Estonia (Table 3.2). Furthermore, there
is no common tendency of increasing or decreasing number of older temporary workers
among the OECD countries. However, it should be noted that, as seen in Table 3.2, the
incidence of temporary employment among workers aged 65 and older is, at least, over
10 per cent in 20 OECD countries, and the rate in each country has been maintained a
significant level, despite a sharp or smooth fluctuation between 2000 and 2011.
Figure 3.9 Incidence of Temporary Employment by Age Group in OECD Countries, 2000-
2011 (%)
Source : OECD, Labour Force Statistics database, ‘Incidence of Permanent Temporary Employment’
Figure 3.10 Incidence of Temporary Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%)
Source : OECD, Labour Force Statistics database, ‘Incidence of Permanent Temporary Employment’
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
15 to 24 24.3 23.3 23.5 23.7 23.9 25.1 25.5 25.6 25.1 24.9 25.4 25.3
25 to 54 8.8 8.7 8.9 9.1 9.2 9.8 10.0 10.0 9.8 9.6 9.7 9.9
55 to 64 8.8 8.6 8.7 8.8 8.9 8.8 8.9 9.0 8.8 9.0 9.1 9.1
65+ 18.4 17.3 17.6 17.5 17.2 16.8 17.7 18.1 18.1 19.9 19.3 19.5
0
5
10
15
20
25
30
15 to 24 25 to 54 55 to 64 65+
2001 2008 2011 2016 Men 7.8 8.3 8.8 7.9
Women 9.7 9.6 9.9 7.9
0
2
4
6
8
10
12 55-64
2001 2008 2011 2016 Men 18.1 18.5 19.2 17.1
Women 16.2 17.5 19.8 17.8
0
5
10
15
20
25 65+
46
Table 3.2 Temporary Employees Aged 55-64 and 65+ by Country in 2011
Temporary
employees aged 55-
64
Country Temporary employee
aged 65+
Country
Above the OECD
average, 9.1% (x ≥ 15%)
Chile, Japan, Korea,
Poland, Turkey
Above the OECD
average, 19.5% (x ≥ 30%)
Belgium, Czech Rep.,
France, Korea,
Netherlands, Poland,
Slovakia, Slovenia,
Sweden
About the OECD
average, 9.1%
(5% ≤ x < 15%)
Canada, Czech Rep.,
Filand, France, Greece,
Hungary, Iceland,
Ireland, Italy,
Netherlands, Portugal,
Slovakia, Slovenia,
Spain, Sweden, United
Kingdom
About the OECD
average, 19.5%
(10% ≤ x < 30%)
Canada, Chile, Finland,
Ireland, Itlay, Japan,
Portugal, Spain,
Switzerland, Turkey,
United Kingdom
Below the OECD
average, 9.1% (x <
5%)
Austria, Belgium,
Denmark, Estonia,
Germany, Norway,
Switzerland
Below the OECD
average, 19.5%
(x < 10%)
Austria, Denmark,
Estonia, Germany, Greece,
Hungary, Iceland, Norway
Source : OECD, Labour Force Statistics database, ‘Incidence of Permanent Temporary Employment’ Note: The data are not available for Australia, Israel, Mexico, New Zealand, and the United States.
Based on the Labour Force Survey (LFS) provided by Eurostat, older workers aged 55
and over in 25 European countries, which are mostly OECD members, are mainly
employed in ‘agriculture,’ ‘manufacturing,’ ‘whole sale and retail trade,’ ‘education’ and
‘health and social work’ in 2011 (Figure 3.11). Agriculture and education are typically
regarded as traditional sectors in which older workers are over-represented. However,
workers aged 65 and up unequivocally outnumbered other age groups in 2011 when it
comes to their employment share in agriculture while those aged 55-64 were the most
highly engaged in education in the year. Along with this, the significant portions of both
workers aged 55-64 and those aged 65 and over were working in‘whole sale and retail
trade’ and ‘health and social work’ in 2011. Except for education, the sectors in which
older workers are chiefly employed are regarded as those offering a high proportion of
low-wage jobs.
47
Figure 3.11 Sectoral Empolyment Structure by Sector and Age Group in EU 25, 2011 (%)
Source : Eurostat, LFS, NACE Rev. 2
Looking at the changes in sectoral employment by age group (Figure 3.12), the annual
employment of workers aged 55-64 had a relatively steep decline in ‘manufacturing’,
‘construction,’ ‘whole sale and retail trade’ and ‘agriculture and fishing’ between 2008
and 2011 whereas it increased in ‘health and social work activities’ by 1.3 percentage
points during the same period. The employment of workers aged 65 and older also
showed a significant drop in ‘agriculture and fishing,’ ‘manufacturing’ and ‘wholesale
and retail trade’ while it increased the most in ‘health and social work activities’ and
‘transportation, storage and communication’ by 1.6 and 0.8 percentage points
respectively between 2008 and 2011. A remarkable change in employment for this age
group is that the rate in ‘agriculture and fishing’ dramatically declined by 3.9 percentage
points during the period, which was not comparable with other sectors of industry and
the other older age group. In contrast with the significant drop in ‘agriculture and
fishing’ for the both older age groups, employment in ‘education’, another traditional
sector where older workers were regarded as over-represented, showed rises of 0.2 and
0.6 percentage points for the group of 55-64 and the one of 65 years and over,
respectively. Although they cannot be compared equally due to the limitation of data,
the analogous pattern of sectoral employment of older workers is observed in non-
European OECD countries. In New Zealand, older workers (55-64 years old) are mainly
Agricultur e, fishing
Manufact uring
Constructi on
Wholesale , retail trade
Transport ation,
storage, communic
ation
Accommo dation, food
service activities
Financial, insurance activities
Real estate
Public administr
ation, defence
Education
Health, social work
activities
Other services
15-24 2.8 14.1 8.2 21.7 6.0 10.2 2.3 0.5 3.9 4.0 9.1 3.2
25-54 3.4 16.2 7.5 13.5 8.5 4.1 3.3 0.8 7.4 7.5 10.7 2.4
55-64 5.5 14.4 6.7 11.6 7.1 3.2 2.7 1.1 8.6 9.8 12.3 2.5
65+ 17.4 7.9 5.3 13.7 6.0 3.8 1.4 2.1 3.2 6.3 9.2 4.3
0
5
10
15
20
25
15-24 25-54 55-64 65+
48
employed in health and social work, manufacturing, education and whole sale and retail
trade (15.4, 14.2, 13.2, 13.0 per cent, respectively) in 2008 (Boyd and Dixon, 2009).
Figure 3.12 Annual Employment Growth by Sector and Age Group in EU 25, 2008-2011
Source : Eurostat, LFS, NACE Rev. 2
Wage Levels
The age-earnings profiles describe the growth of earnings over the life cycle (Thornton,
Rodgers and Brookshire, 1997), and the most common specification found in the
literature shows an inverted U-shaped pattern between age and earnings. This takes the
form of increases in earnings in the early years, a peak at around middle age and a
decline around the age of 50-55 (Luong and Hebert, 2009; Casanova, 2013). This
pattern of the age-earnings profile can be interpreted, with caution, to mean that the
older employees aged over 50 years are more likely to be the low paid than their
younger colleagues. Under the conditon that there are a lack of data and research on
wages and earnings of older workers in an international context, the review of the
proportion of low-wage earners among older workers would be a way to assume their
relative wage levels.
Agricultur e, fishing
Manufact uring
Constructi on
Wholesal e, retail trade
Transport ation,
storage, communi
cation
Accommo dation, food
service activities
Financial, insurance activities
Real estate
Public administr
ation, defence
Education
Health, social work
activities
Other services
15-24 0.1 -2.1 -1.5 0.0 -0.3 0.9 -0.1 0.0 -0.1 0.7 1.5 -0.1
25-54 -0.1 -1.2 -0.9 -0.1 0.0 0.3 0.0 0.0 -0.1 0.3 0.7 0.0
55-64 -0.4 -1.0 -0.8 -0.5 -0.2 0.1 0.2 0.1 0.2 0.2 1.3 -0.3
65+ -3.9 -1.0 0.0 -0.6 0.8 -0.2 0.2 0.2 0.2 0.6 1.6 0.2
-5.0
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
15-24 25-54 55-64 65+
49
The definition of low pay most commonly used is a level equivalent to two-thirds of the
median wage for all employees in the economy (Grimshaw, 2011, p.3). The Structure of
Earnings Survey (SES) provided by the European Commission (EC) follows it, defining
low-wage workers as those employees earning two-thirds or less of the national median
gross hourly earnings (Eurostat, 2013). According to the survey, 14.5 per cent of EU
employees aged 50 years and over were low-wage earners in 2010. The highest
proportions of low-wage older earners were observed in Estonia (31.2%), Poland
(23.8%), Germany (20.8%), Slovakia (19.8%), Czech Republic (19.1%), Hungary
(18.7%) and the United Kingdom (18.3%), and the lowest were found in Turkey (0.2%),
Sweden (0.7%), Norway (1.3%), Denmark (3.7%), Finland (4.7%)), France (4.7%) and
Iceland (5.4%) (Figure 3.13).
Figure 3.13 Proportion of Low-Wage Earners by Age Group in EU Countries, 2010 (%)
Source : Eurostat, SES (earn_ses_pub1) Note: OECD member states only are presented, and the data are not available for Greece.
Low-wage earners aged 50 years and over in the EU 27 countries have increased by one
percentage point between 2006 and 2010 (Figure 3.14). This is a significant rise in
comparison to the increase of 0.2 percentage points in the proportion of total low-wage
earners in the EU countries in the same period (Eurostat, 2013). Except that noticeable
decreases in low-wage older workers were observed in Slovenia (-3.2 p.p.), Portugal (-
2.4 p.p.), Belgium (-2.3 p.p.) and Ireland (-1.0 p.p.) and France (-0.9 p.p.), and minor
EU 27 Austria Belgium CzechRep Denmar
k Estonia France Finland German
y Hungary Iceland Ireland Italy Luxemb
ourg Netherl
ands Norway Poland Portugal Slovenia Slovakia Spain Sweden Switzerl
and Turkey United Kingdo
m
Total 17.0 15.0 6.4 18.2 7.7 23.8 6.1 5.9 22.2 19.8 9.1 20.7 12.4 13.1 18.1 7.3 24.2 16.1 17.1 19.0 14.7 2.5 11.0 0.2 22.1
<30 30.4 24.3 15.3 21.1 27.8 21.3 12.4 13.2 38.1 23.1 22.5 39.4 25.0 22.7 46.1 26.2 31.3 25.0 24.3 20.9 23.3 9.5 21.2 0.2 40.6
30-49 13.7 11.9 4.7 16.6 5.6 19.1 5.0 4.2 18.0 19.4 6.6 17.4 11.6 11.0 8.0 2.3 21.8 14.2 16.4 18.0 13.6 1.0 8.9 0.2 14.7
50≤ 14.5 12.5 3.0 19.1 3.7 31.2 4.7 4.7 20.8 18.7 5.4 17.4 9.1 9.2 8.5 1.3 23.8 12.8 14.3 19.8 11.0 0.7 7.8 0.2 18.3
0 5
10 15 20 25 30 35 40 45 50
Total <30 30-49 50≤
50
declines, in Norway (-0.3 p.p.), the United Kingdom (-0.2 p.p.) and Luxembourg (-0.1
p.p.), increases in low-wage earners aged 50 years and older were found in fifteen
OECD member EU countries. Among the fifteen countries, Germany (+2.9 p.p.), Italy
(+2.6 p.p.) and Poland (+2.5 p.p.) recorded the highest rates of increase in the
proportion of low-wage earners aged 50 years and over between 2006 and 2010.
Figure 3.14 Changes in Proportion of Low-Wage Earners Aged 50+ in EU Countries, 2006-2010 (%)
Source : Eurostat, SES (earn_ses_pub1) Note: OECD member states only are presented, and the data are not available for Greece in 2010 and Switzerland in 2006.
A higher proportion of low-wage older earners is also found in non-European OECD
Countries. For example, 33 per cent of Canadian older workers over 65 earned less than
two-thirds of the national median hourly wage in 2011 (MacEwen, 2012). Also in the
United States, although a different definition of low pay is used, 34 per cent of workers
65 and older and 18 per cent of workers aged 55-64 were in low-wage jobs in 2010,
which were identified as those held by workers with hourly wages below the 20th
percentile of wages (GAO, 2011). According to a 2011 Government Accountability
Office (GAO) analysis of data from the Bureau of Labor Statistics (BLS) and Census
Bureau, there was no significant change between 2007 and 2010 in the percentage of
workers in low-wage jobs in any age group. South Korea has an even higher share of
low-wage older workers; 53.7 per cent of older workers aged 55-79 were the low paid in
2010, who were defined as those earning less than two-thirds of the national median
hourly wage (Jung, S-M, 2011). Although there was a minor decline (-0.3 p.p.) between
EU 27 Austria Belgium Czech Rep
Denma rk Estonia Finland France
Germa ny Greece
Hungar y Iceland Ireland Italy
Luxem bourg
Nether lands
Norwa y Poland
Portug al
Slovaki a
Sloveni a Spain
Swede n
Switzer land Turkey
United Kingdo
m
2006 13.5 10.9 5.3 17.7 3.4 29.6 3.7 5.6 17.9 6.7 17.6 5.1 18.4 6.5 9.3 7.1 1.6 21.3 15.2 18.7 17.5 10.2 0.4 - 0.2 18.5
2010 14.5 12.5 3.0 19.1 3.7 31.2 4.7 4.7 20.8 - 18.7 5.4 17.4 9.1 9.2 8.5 1.3 23.8 12.8 19.8 14.3 11.0 0.7 7.8 0.2 18.3
0 5
10 15 20 25 30 35
2006 2010
51
2006 and 2010, the figure is still high over the half of Korean older workers aged 55-79.
Apart from the main trend in the proportion of low-wage older workers, a large pay gap
between men and women is found among this group. Figure 3.15 shows the gender pay
gap among workers aged 55-64 and 65 years and older in twenty-three OECD member
EU countries. The gender pay gap here refers to the difference between average gross
hourly earnings of male paid employees and of female paid employees as a percentage
of average gross hourly earnings of male paid employees. Although the gender gap in
hourly earnings varied by country and a few exceptions were found, the rate of the
difference between men’s average hourly earnings and women’s relative to men’s
average hourly earnings ranged from 13.5 per cent to 36.3 per cent among workers aged
55-64 in 2010, except for the three extremely low or adverse cases of Italy, Poland and
Slovenia; and the rate for those aged 65 years and older, from 10.4 per cent to 45.1 per
cent in the year, except for the three cases of Poland, Slovenia and Slovakia in which
the rates were lower than ten per cent. This suggest that women are likely to form a
larger share of the low paid than men among older workers.
Figure 3.15 Gender Pay Gap among Older Workers Aged 55-64 and 65+ in EU Countries, 2010 (%)
Source: Eurostat, NACE Rev.2 (earn1_gr_gpgr2ag) Note: OECD member states only are presented, and the data are not available for thos aged 65 years and older in Belgium and Luxembourg.
Belgi um
Czech Repu blic
Denm ark
Germ any
Irelan d
Greec e
Spain Franc e
Italy Luxe
mbou rg
Hung ary
Neth erlan
ds
Austri a
Polan d
Portu gal
Slove nia
Slova kia
Finlan d
Swed en
Unite d
Kingd om
Icelan d
Norw ay
Switz erlan
d
55-64 17.6 15.2 16.5 27.5 20.4 19.1 23.7 22.7 3.9 21.6 19.7 24.4 36.3 3.5 9.7 -6.6 13.5 25.5 18.9 22.8 21.6 21.2 22.9
65+ 30.8 12.8 20.3 10.4 17.8 45.1 36.8 36.9 19.9 11.6 24.1 5.4 36.5 7.3 6.7 29.0 19.8 22.5 18.4 19.6 28.5
-10
0
10
20
30
40
50
52
Conclusion
This chapter reviewed older workers’ labour force participation rate and employment
rate, types of contracts and sectors that they were enagaed in, and their wage levels.
Despite the difference between countries in the level of labour force particiaption and
employment and in the steepness of their rises, the labour force participation rate and
the employment rate of older workers have visibly increased since the mid-1990s, in
genreal. However, older workers are more likely to be involved in part-time jobs and
employed in agriculture, manufacturing, whole sale and retail trade, education, and
health and social work. Except for agriculture in which the employment rate of older
workers have dramatically dropped and for education in which they are traditionally
over-represented, all the sectors in which older workers are mainly employed are those
with high proportions of low paid jobs. This is consistent with the fact that the
proportion of low-wage earners among workers aged 50 years and older has increased
significantly. In the following chapter, the review of the existing research about the
status of older workers in the labour market will be included to look at how the research
has developed and what has been focused on.
53
Chapter Four Older Workers: Labour Market Status and Minimum Wages
Introduction
As shown in Chapter Three, the labour market for older workers has been changing in a
direction that increases their vulnerability at the workplace. This raises the issue of
measures to relieve the expected disadvantages that older workers may face, and
accordingly, related policies, such as the minimum wage, and research on them are of
importance. However, with regard to the exclusive concern of this thesis on the
minimum wage, the combination of older workers and the minimum wage has been
rarely explored in research as mentioned earlier. This comes from the development of
different focuses in two research areas. This chapter reviews literature on the labour
market status of older workers and the effects of the minimum wage relating to them.
Through the review, it will be shown that the two research areas have long developed
apart from each other, and different research focus in each area has created an academic
vacuum between them. That is, research on older workers has focused exclusively on
employment issues, including retirement, and older workers have been almost out of
concern in research on the minimum wage effects which has concentrated on youth and
younger workers.
The Labour Market Status of Older Workers
Research Trend
Older workers as a group have been of research interest since the middle of the
twentieth century with the institutionalisation of retirement, a fairly new phenomenon
which characterised most industrialised nations and was reflected in the widespread exit
from the labour force within a relatively short age span and often prior to the loss of
indivduals’ physical or mental ability to remain gainfully employed (Szinovacz, 2003,
p.7). Although retirement existed in the pre-industrial peasant society, such withdrawal
54
from an active working life was confined, on the one hand, to the wealthy and powerful
who could afford to spend their later years in comfort and leisure (Macnicol, 2002,
p.20) and, on the other hand, to the disabled who were not able to work any more with
their physical incapacity. The age at retirement in the pre-industrial society was across a
wide range, and first and foremost, retirement had no place in traditional European
culture, where ‘the life cycle system consisted only of birth-marriage-death’ (Kohli,
1987, p.130). The notion of retirement emerged as industrial production became
noticeably more technology-intensive at the end of the nineteenth century and the small
family firms were replaced by the large bureaucratic unit of production (Macnicol,
2002). The technology-intensive production made labour market ‘tightened up with a
greater premium on youth, skills and adaptability, and thus older people were seen as
increasingly irrelevant to the labour process’ (Macnicol, 2002, p.5 & p.13). At the same
time, as large bureaucratic organisations ‘used more scientific management techniques,
including the rule of a fixed retirement age’ (Macnicol, 2002, p.19), older workers
began to be involved in involuntary retirement. Industrialism theory aptly addressed the
forces that had led to forced retirement of older workers in this early time period1, and
Pampel and Weiss (1983, pp. 354-355) briefly reviewed the components responsible for
this change: first, as developed countries transformed from a agricultural, self-employed
occupational structure to a wage and salary, bureaucratic one, workers who had been
able to choose how long they would remain at their job in the previous structure faced
formalised retirement rules based on chronological age in larger bureaucratic
organisations (Slavick, 1966; quoted in Pampel and Weiss, 1983); secondly, the
expansion of the education system in developed nations made older workers less
competitive in the labour market than younger workers who were likely to have
completed more years of schooling than earlier cohorts. Employers were likely to
require the retirement of older workers in order to take on younger workers with the
latest skills and knowledge (Clark, Kreps, and Spengler, 1978, quoted in Pampel and
Weiss, 1983); thirdly, given a higher proportion of aged persons in the population and
employers’ preference for younger workers, the increased number of older persons had
to compete for available jobs, and as a result, a lower share of older persons would have
been able to remain in the labour force (Cowgill, 1974; quoted in Pampel and Weiss,
1983); and fourthly, low demand for older workers reduced participation rates.
55
It is, however, only since the Second World War that retirement became the social norm
(Thane, 2006), which means retirement has been institutionalised and become a central
part of the life course in most developed, modern societies. This derived from the
development of state pension policy and social welfare although the normative
underpinning of retirement as an institution was also spurred by social and individual
attitudes on retirement and retirement age (Szinovacz, 2003). The pensions which were
initially introduced in Europe and Australasia in the late nineteenth and early twentieth
centuries provided minimal income to live on for some of those who had already been
forced by decrepitude to retire from gainful work, but they typically did not prohibit
earnings from work (Thane, 2006, pp.43-44). Before the Second World War, retirement
prior to physical incapacity was not a commonly anticipated phase of life-course;
however, as retirement income, mainly from pensions including postwar state and
occupational pensions, normally presumed and sometimes required that the pensioners
must retire from work, retirement at around the state pension age dramatically increased
in developed countries in the second half of the twentieth century (Thane, 2006, p.45).
The social policy explanation for the decline in the labour force participation of older
workers, in particular older males in developed countries, emphasizes four groups of
government policies which may have larger effects than economic growth variables in
the postwar period: it is likely that the higher the government expenditures for pension
and social insurance programmes per retired person, the lower the participation rate of
aged males; expenditures for nonretirement programmes, including medical welfare
payment, public housing, welfare programmes, income supplements for food and
energy, and various in-kind benefits, may also induce retirement; certain provisions of
pension programmes, such as lowering the age of eligibility for pensions or reducing the
benefits for those who continue to work after the age of eligibility, may increase the exit
from the labour maket among older workers, regardless of even controlling for the level
of pension and other government expenditures; and the number of years for which a
programme has been in existence and the extent to which the programme is recognised
as stable and reliable influence the retirement decision and the participation rate of older
workers (Pampel and Weiss, 1983, p.356). For female workers’s retirement behaviour,
there had been a long tendency that it was viewed based on established understanding of
men’s retirement. But, in relatively recent years, a variety of factors other than
56
government policies, including personal health, family and caring responsibilities,
financial issues, firms’ employment policies and discrimination, and institutional factors
that affect work and retirement decision, have been highlighted. This change is based on
consideration of women’s different career paths due to their status as an additional
earner in a household relating to marital status, ‘the different impact of family and
domestic responsibilies, and their relative underrepresentation at higher levels in
organisations’ (Duberley, Carmichael and Szmigin, 2014, p.71). The attention to
women’s more discontinuous and fragmented work histories has now led to stress on a
holistic research apporach to women’s work and retirement activities as Wong and Earl
(2011) argue. Since reseach on female workers’ retirement has been developed much
later than of male’s, it is more connected to the development of research on early
retirement and also on its reversal which are presented below.
The spread of retirement after the Second World War does not mean that it brought
about either social discouragement of working in old age or retirement-focused research
about older workers. The British government, for example, encouraged older workers to
stay on at work past the pensionable age until the early 1960s (Thane, 2006); and from
the late 1940s to the early 1960s, there were studies about older workers built around
theoretical models from social and occupational psychology and located in part in the
area of industrial gerontology (Phillipson, 2004, p.189) that focused on the problems of
older workers and conditions of work under which they can make optimum use of their
skills for higher productivity (Murrell, 1959, p.216). However, discussions in the 1960s
among most OECD countries identified older workers as a problem group at a time of
full employment. By the mid-1970s with demographic changes and the economic
recession in the years following the oil crisis, discrimination against older workers
became more pronounced by employers’ selective recruitment policies and selective
discriminatory dismissal practices (Casey and Bruche, 1983, p.2). Under these
circumstances, early retirement significantly started to be increased in most Western
societies and so did public and scientific attention to this issue (Hofacker, 2010, p.12).
Early retirement was widely supported by governments, trade unions, and employers ‘as
a means of coping with economic restructuring, workforce downsizing, and global
competition’ (Macnicol, 2008, p.581). However, the trend to early retirement resists
57
easy explanations that rely on social policy alone by constrasting ‘theories that focus on
the state as the key actor’ and explanations ‘that focus on actors in the economic sphere’
(Kohli and Rein, 1991, p.1). As implied in Kohli and Rein’s (1991) examination of the
evolution of early exit and the conditions, actors, and institutions which brought it
forth2, various factors, not from a single driving force but from multiple forcese in
difffernt levels, are indeed concerned in the explanation of early retirement. While very
few studies attempted to consider disparate causes at the same time, Walker’s study
(1985) about older workers and early retirement demonstrates the point well. He found
that ill health and redundancy were the major spur to early retirement; the demand for
older workers with specific skills and public attitudes such as official labour market
intermediaries’ in the job centres were crucial contributors to discouraging older
workers from searching for work and encouraging them finally to take early retirement
after prolonged unemployment; and the economic and social policy contexts influenced
taking early retirement. Furthermore, different factors at the individual, organisational,
institutional, and macroeconomic levels which explain the trend to early retirement
interact with each other, and their combined influence operates as ‘a social process of
exclusion’ (Walker, 1985, p.227) or potentially, as a process of integration of older
workers.
The full-fledged exploration of the position of older workers in the labour market, in
this regard, has begun with the attempts to explain early retirement but developed with
the transfer of research focus from retirement to employment. Since the mid-1990s,
early retirement has increasingly been considered as being financially unsustainable in
the face of the prospect of ageing in population and in the labour force, and older
workers’ participation in the labour market has gradually increased. Employment rates
among older workers have significantly risen since the turn of the millennium
(Hofäcker and Unt, 2013, p.164), and even after the global financial crisis in 2008, the
rates increased in some European countries. With reference to these trends, new
directions in research on older workers have emerged with the changing perspective
towards active ageing (Walker, 2006), bridge employment (Shultz, 2003, quoted in
Rocco and Thijssen, 2006), second careers (AARP, quoted in Lewis, 1996), and older
entrepreneurs (Minerd, 1999, quoted in Rocco and Thijssen, 2006). The concept of
58
active ageing which emerged in the early 1960s, stressing ‘the maintenance in old age
of the activity patterns and values typical of middle age’, ‘focused narrowly on the
production of goods and services’ in the 1980s and has developed ‘in the 1990s under
the influence of the World Health Organization (WHO)’ into one that emphasises ‘a
broad range of activities than those normally associated with production and the labour
market and inclusion of older people as full citizens’ (Walker, 2006, p.83-84). ‘Bridge
employment refers to the labour force participation patterns observed in older workers
between their career jobs and compete labour force withdrawal’ which allows them to
exit the labour force gradually (Shultz, 2003, p.215). Second career is in line with the
concept of bridge employment. But, it signifies a radical career change in later life
motivated not so much by money but by a strongly felt need to achieve a lifelong dream
or fulfil some inner goal (Lewis, 1996). The concept of older entrepreneurs stresses the
potential advantages for retirees to create their own business, such as hiring other
retirees and offering care services and organic products to younger generation. Although
all these concepts are not always confined to older people’s engagement in production,
they are chiefly based on ‘choices older workers make to remain within and not outside
of working life’ (Rocco and Thijssen, 2006, p.7). In the new directions of research on
older workers, factors accounting for retirement and early retirement explain older
workers’ employment, like the flipside of the same coin, as the polity encourages older
workers to remain in employment longer on the conceptual basis of those new
perspectives for reversing the trend to early retirement, and employers’ perceptions on
older workers gradually changes. This has broadened the spectrum of labour market
status of older workers from working full-time, working in a flexible form, looking for a
job but unemployed, tentatively retired without pensions to fully retired with pensions
or near pension age. Also, as the research focus has been transferred from retirement to
work, disadvantages and discriminations that older workers face in their working lives
seem to have been of more importance with regard to their status in the labour market.
This will be discussed in more detail later in this chapter.
59
Figure 4.1 Factors Influencing Labour Market Status of Older Workers
* De Vroom (2004, p.8) explains that ‘age-culture is the shorthand description of social norms, values, ideals or
perceptions in society that structure the ideas of the age-work relationships’.
What factors make a difference to the labour market status and experience among older
workers and how the factors are related to each other in influencing them are the main
questions in the research area of older workers in the labour market. Figure 4.1 shows
three types of critical factors which have been dealt with in this field, plus the influence
of changes in the macro-level context. The factors are interrelated within as well as
across supply-side, demand-side, policy-induced influence, and changes at the macro-
level and their combined influence typically regulates the status and experience of older
workers in the labour market, including employment, unemployment, earnings, and
mobility, as well as retirement.3 Note that older workers’ status and experience in the
labour market as a consequence of the practice in the labour market for older workers
potentially also affect the degree of influence of each factor affecting older workers’
status in the labour market and the dynamic between the factors in their combined
influence as indicated in Figure 4.1.
Demand-Side Factors Fixed costs & deferred pay Training Adaptability Productivity Employers’ attitude
Policy-Induced Factors Pensions & other benefits ‘Tax force’ Employment Protection Legislation (EPL)
Supply-Side Factors Health Financial situation Marital and family situation Tastes for leisure Attitudes of older workers to
employment
Work (full-time, flexible employment, unemployment, earnings, mobility)
or Retirement
Macro-Level Context Socio-Demographic Change, the State of the Economy & ‘Age Culture’*
60
Supply-Side Factors
The supply-side factors include individual characteristics, such as health status,
financial situation, marital and family situation, tastes for leisure, and attitudes of older
workers to employment. Numerous studies which have explored the personal
characteristics as major variables to influence older workers’experiences in the labour
market have shown that individuals’ health plays a decisive role in retirement and early
retirement (Heywood and Siebert, 2009, p.5). However, there is no apparent consensus
on the effect of self-reported health conditions on changes in employment status at older
ages. While Alavinia and Burdorf (2008) concluded in their analysis across European
countries4 that perceived poor health among persons aged 50-64 was strongly
associated with non-participating in the labour force due to early retirement, being
unemployed or being a homemaker, Blau and Shvydko (2011) showed in their US study
that among workers aged 51-72, 30 per cent of those whose health turned from good to
bad completely exited from the labour market while 15 per cent of individuals whose
health remained good did, but 69 per cent of exits from employment were individuals
whose health remained good whereas only 13 per cent of exits from employment were
associated with individuals’ decline in health from good to bad. Such inconsistency
suggests that health problems alone cannot explain ‘the abrupt transition to retirement’
(Heywood and Siebert, 2009, p.6), which, again, implies that health could be a push
factor for older workers to move toward another types of status in the labour market.
Zucchelli, Harris, and Zhao (2012) corroborates it in their findings for Australia that
health greatly influences cross-mobility between part-time, self-employment, and
inactivity, and both part-time and self-employment could be used as a bridge towards
permanent retirement by persons of ill-health even though health shock significantly
increases the probability of abrupt economic inactivity.
Financial situation, such as assets, pension wealth, and earnings, consistently predicts
retirement decisions as well (Gruber and Wise, 1999; Quinn, Burkhauser, and Myers,
1990; quoted in Wang and Shultz, 2010, p.185). In agreement with earlier research, De
Wind, Geuskens, Reeuwijk, Westerman, Ybema, Burdorf, Bongers, and Van der Beek
(2013) found in their qualitative study in the Netherlands that the financial situation and
expected income during retirement played a role in early retirement, highlighting the
61
different importance of financial factors between the different pathways to early
retirement in association with health status. Damman, Henkens, and Kalmijn (2011)
also showed in their Dutch study that men without a pension shortfall were more likely
to retire early, compared with those with one. However, the relationship between one’s
financial status and retirement decision is rather complicated (Wang and Shultz, 2010,
p.185). For instance, Wang, Zhan, Liu, and Shultz’s (2008, quoted in Wang and Shultz,
2010, p.185) longitudinal study which used the US data showed that retirees’ total
wealth was not able to predict the odds for retirees to take career bridge employment
against full retirement. The influence of financial situation becomes a little more
complex as well when it is combined with family care. If an individual is required to
take on a caregiving responsibility for a family member, this works as a push facor
toward retirement as explained below; but, the financial costs associated with a family
member’s illness or family financial obligations may preclude retirement. Damman,
Henkens, and Kalmijn (2011) found that the more financially dependent children older
men have, the less likely they retire early.
Marital status and family situation with regard to economic activity among older
workers have received relatively little attention in the literature on the labour market
participation of older workers (Lissenburgh and Smeaton, 2003; Szinovacz, 2003).
However, both are critical stimuli to changes in employment status of older workers,
providing a part of information on gender difference in retirement behaviour. Tanner
(1997) found from further analysis of the UK Retirement Survey that older women were
more likely than older men to say that they left employment before state pension age
because they wanted to retire at the same time as their partner. The result is consistent
with the findings from Szinovacz’s (2013) analysis of the US Health and Retirement
Study. She found that married women aged 50-64 were more likely than any other
marital status or men ‘to plan on stopping work in retirement and particularly less likely
to plan on working with reduced hours’ at old age (Szinovacz, 2013, p.1). But, Wang,
Zhan, Liu, and Shultz’s (2008) findings from the longitudinal US Health and Retirement
data do not support the predictive effect of marital status in differentiating full retirment
and general bridge employment. They explain that other aspects of family-related life,
such as spouse working status (Wang, 2007), may moderate the effect of marital status.
62
An alternative explanation may be that the predictive effect of marital status is not only
overshadowed by other predictors, including financial pressure or health considerations
(Barnes-Farrell, 2003, quoted in Wang, Zhan, Liu, and Shultz, 2008), but also
counterbalanced by no division of gender. On the other hand, family situation as a
variable that influences economic activity typically refers to the needs of family care.
Research on the relationship between work and care said that older women were most
likely to provide care for sick, disabled or elderly relatives, partners, children or
neighbours (Loretto, Vickerstaff, and White, 2005). According to the UK report by
Arrowsmith (2004), caregiving responsibilities are a key reason for the workless not
wanting a job or seeking work. It means that care is a contributor to discourage persons
who have once been out of employment with caring responsibilities to re-enter into the
labour market. However, comparing to marital status, family situation is associated
more with movement into flexible employment among older workers. Howard (2005)
and Mooney, Statham, and Simon (2002) suggested in their UK study that those who
combined employment and caring would welcome a range of flexible working options,
such as better access to flexible working hours, the opportunity to reduce working
hours, the right to time-off for caring responsibilities, and the ability to work from home
where feasible (quoted in Loretto, Vickerstaff, and White, 2005, p.43). Smeaton,
Vegeris, and Sahin-Dikmen (2009) also recognised in their UK analysis the likely
transition of older workers who had caring responsibilities to flexible working rather
than to complete withdrawal from the labour market; however, they pointed out that the
type of flexibility needed by carers for children and adults could differ significantly.
It is argued that the taste for leisure increases with age, and age per se is a strong
determinant of retirement controlling many other factors (Heywood and Siebert, 2009,
p.6). Scales and Scase (2000) and Phillipson (2004) suggested that people were
increasingly expecting to be able to enjoy their retirement, in which they would spend
pleasure time with their families, pursuit leisure interests, and leave behind the stress of
their working life (Loretto, Vickerstaff, and White, 2005, p.37). But, recent studies
conducted in the United States and the United Kingdom (McNair, Flynn, Owen,
Humphreys, and Woodfield, 2004; Smeaton, Vegeris, and Sahin-Dikmen, 2009; AARP,
2004; Lynch, 2006) found that the attitude of individual older workers to working for a
63
longer period was positive, and a considerable number of people, whether they were in
work or retired, wanted to continue to work in their later life, especially under a flexible
form. In the same vein, surveys which covered the attitude of older workers towards
working in later life in Bulgaria (Daskalova, 2007) and in Singapore (Lim, 2003)
observed that the majority of respondents preferred to continue working after
retirement. These incoherent results between the taste for leisure and preference for
working longer among older workers can be accounted for partly by the changes in law
which modify the taste. Gendell (2008) assumed that ‘the abolition of mandatory
retirement in the United States had a symbolic effect and confirmed the propriety of
continuing to work’ (quoted in Heywood and Siebert, 2009, p.6). Another possible
reason may be related to the facts that wages are considerably higher than pensions and
that longer employment enables workers to increase their pension as Daskalova (2007)
pointed out.
Demand-Side Factors
Although numerous studies have concentrated on supply-side factors that influence an
individual’s work/retirement decision, the labour market status of older workers is, in
practice, more restricted by demand-side factors, such as fixed costs, deferred pay,
training, adaptability, productivity, and employers’ attitude. Heywood and Siebert
(2009) give brief accounts and famous research examples of fixed costs and deferred
pay, and the main substance of the discussion here about each of the two factors is
borrowed from them. According to Hurd (1996, quoted in Heywood and Siebert, 2009,
p.6) who provided a comprehensive discussion of the fixed costs problem for older
workers, when firms hire, costs occur both when selecting and hiring workers to fill
jobs and when training the workers; and these costs are per head and make part-time
workers more expensive. Hurd (1996, quoted in Heywood and Siebert, 2009, p.7) also
addressed company health insurance premiums in addition to the fixed costs since the
premiums were charged on a per-worker basis rather than on a per-hour one. If older
workers wish to move into part-time work, they would have to accept a large reduction
in earnings to compensate for the job’s fixed costs; but, the reduction in pay may be
prohibited by anti-discrimination rules, and such wage inflexibility may lead to few new
64
part-time openings available (Heywood and Siebert, 2009, p.7). The problem of fixed
costs could explain a part of the reason why firms are put off older workers and of the
abruptness of the retirement transition (Heywood and Siebert, 2009, p.7). Deferred pay
in which employees are paid less than their marginal product earlier in the contract but
more later, and thus firms need to set a definite retirement date also deters firms from
hiring older workers because their shorter expected tenure makes them less motivated
by delayed compensation (Heywood and Siebert, 2009, pp.7-8). Several studies
‘support the predictions that deferred pay contracts give older workers less chance of
being hired and needs with mandatory retirement’ (Heywood and Siebert, 2009, p.8).
Hutchens’ famous early study (1986, quoted in Heywood and Siebert, 2009, p.8) found
that job opportunities for older workers were higher in occupations and industries in
which pensions, mandatory retirement, and tenure were lower, and delayed payment
contracts were not used. These results are confirmed in other US studies such as Scott,
Berger, and Garen (1995), Hirsch, Macpherson, and Hardy (2000) and Hu (2003)
(quoted in Daniel and Heywood, 2007). Daniel and Heywood (2007, quoted in
Heywood and Siebert, 2009, p.8) conducted a similar study for the United Kingdom and
found that ‘firms with pension provision, more steeply increasing wages, and with
longer tenure as expected with deferred compensation’ were less likely to hire older
workers. Comparable findings have been reported for Australia (Adams and Heywood,
2007), Germany (Heywood, Jirjahn, and Tsertsvardze, 2010), and Hong Kong
(Heywood, Ho, and Wei, 1999) (quoted in Heywood and Siebert, 2009).
Training is another demand-side factor influencing the status of older workers in the
labour market. Tikkanen, Lahn, Withnall, Ward, and Lyng’s (2002) case studies which
were added to WORKTOW, a multidisciplinary research project carried out in 27 small
and medium sized enterprises in the United Kingdom, Finland, and Norway showed that
work-based learning and training for older employees had the potential to improve
learning motivation, strengthen self-confidence and organisational commitment, and
improve the social climate in groups with mixed ages. Picchio and van Ours (2013) also
found, using data from the Netherlands, that on-the-job training significantly increased
future employment prospects even for older workers and argued that it suggested firm-
provided training may be an important instrument to retain older workers at work. The
65
problem is, however, that older employees to a lesser extent take part in training.
Wooden, VandenHeuvel, Cully, and Curtain (2001) identified six barriers to training for
older workers, including absense of paid work, learning capacity, education, uncertain
retirement age, employer discrimination, and self-discrimination. OECD (2011, p.74)
suggests not only that ‘employers and public employment services are less likely offer
training to older workers’ but also that ‘older workers are less willing to take up training
opportunities because the expected pay-back period on their investment in training is
shorter than for younger workers’.
Closely connected to skills and training, adaptability and productivity seem to be factors
that influence employers’ attitudes toward older workers rather than direct contributors
that affect the labour market status of older employees because studies of the two
factors have been based mostly on surveys of employers, managers, and foremen.
Adaptability of older workers is not a facet of employment which is amenable to
measure, but the general impression given by studies is that older workers have less
desire or ability to adapt to new methods of work (Makeham, 1980, p.21). In a survey
cited in the OECD (1967, quoted in Makeham, 1980, p.21), employers in the United
States rated their older employees less than satisfactory only on adaptability to change
among ten characteristics bearing on job performance. Aubert, Caroli, and Roger (2006)
asserted that older employees were far less likely to work in those positions or firms that
required the latest technological innovations. Meanwhile, given that older individuals
were less productive, earlier studies of relative productivity informed that despite a
slight decline in productivity with age, differences were greater within age groups than
between age groups. The US Department of Labor (1956; 1957) which studied eight
manufacturing establishments in footwear and men’s clothing during the pilot work and
twenty six establishments in footwear and household furniture during the extended
survey found that beyond the age of 55, performance declined by less than 10 per cent,
but there were considerable variations within each age group. The Canadian Department
of Labor’s (1959, p.3) study of retail trade also concluded that older employees’
performance appeared to ‘level off or decline slightly’. Findings from more recent
studies show that employers’ ratings on overall productivity of older workers varies by
country and stress differences in productivity at older ages by occupation. A
66
comparative survey which was conducted among employers from Greece, Spain, the
Netherlands, and the United Kingdom by van Dalen, Henkens, and Schippers (2009)
found that only employers from the United Kingdom perceived older employees’
productivity to be higher than that of young workers, and employers in the Netherlands
had the most negative expectations regarding productivity of older workers. Also,
Skirbekk (2004) concludes through his literature survey that although individuals’ job
performance often decreases towards the end of one’s career, in particular when
problem solving, learning, and speed are important, older individuals maintain a
relatively high productivity level in work taskes where experience and verbal abilities
matter more.
There is substantial evidence that employers consider older workers to be more reliable,
more committed to the organisation and have better interpersonal skills (Taylor and
Walker, 1994; McGregor, 2001; IRS, 2003, quoted in Loretto and White, 2006;
McGregor and Gray, 2002; van Dalen, Henkens, and Schippers, 2009) while older
workers are also perceived to be inflexible, resist training, and are resistant to change
(Chiu, Chan, Snape, and Redman, 2001; Redman and Snape, 2002, quoted in Loretto
and White, 2006; McGregor and Gray, 2002; van Dalen, Henkens, and Schippers,
2009). However, there is relatively little knowledge about how employers’ perceptions
of various attributes older workers have influences their recruitment and retention
(Loretto and White, 2006). Taylor and Walker’s (1998) postal survey of large employers
in the United Kingdom, which was a prominent attempt to examine a causal link
between employers’ attitudes and their discriminatory practices towards older workers,
indicated that perceived productivity, reliability, ability to adapt to new technologies,
interest in technological change, and flexibility were not associated with recruitment,
training, and promotion practice while perceived trainability, creativity, cautiousness,
physical capabilities, the likelihood of having an accident, and ability to work with
younger workers were related with employment practices. However, in Loretto and
White’s (2006) qualitative study which was inspired by Taylor and Walker’s research
and conducted in Scotland, reliability, productivity, and flexibility were among the most
frequently mentioned by employers as the attributes associated with their employment
behaviour. One reason for the difference observed by Loretto and White was that
67
different attributes were valued in orgranisations of different size.
The Role of Public Policy
Public policy makers have played important roles in influencing the participation of
older workers in the labour market, in both exit and retention. Public policy induced
early and on-time exit from the labour market during the two decades before the mid-
1990s. However, as the key theme of related policies has switched over in most
developed countries to a new line encouraging mature workers to remain in the labour
force, the impact of public policy on the status of older workers has entered another
phase. Public policies which exist in different countries and are involved in determining
the status of older workers in the labour market can be broadly grouped into two main
areas. One is old-age pensions and other parts of the tax and welfare system, which
mainly include public pension schemes, official early retirement schemes, implicit taxes
on continued work at older ages, de facto early retirememt schemes, and private pension
schemes (OECD, 2006a, p.52). The other is employment protection legislation (EPL),
including anti-age discrimination laws.
Pensions, Tax, and Other Welfare Benefits
Pension-related policies have provided financial incentives for older people to leave
work and disincentives for them to remain in or return to work through an ‘income
effect’ which refers to the tendency that ‘the higher are old-age pensions, the more
attractive retirement is’, and a ‘substitution effect’, which matters with regard to the
effect of ‘an extra year’s work to the flow of income both from earnings and from old-
age pensions and other benefits’ (OECD, 2006a, p.52). Recent pension reforms in many
countries, however, are seeking the dissolution or reversal of those effects and resulting
in lengthening working lives. Increases in the statutory pension age, improved provision
of financial incentives to work beyond pension age, and less or no early retirement
schemes have been largely taken up as measures for the aim (OECD, 2013b, p.23).
Table 4.1 which displays the current public and private, mandatory or quasi-mandatory
pension schemes in the OECD countries informs the specific strategies for the three
measures. In this part, the strategies and their effects will be briefly reviewed within the
68
scope of public pension schemes, private pension schemes, and early retirement
schemes.
Table 4.1 Pension Ages and Financial Work Incentives/Retirement Disincentives by Type of Scheme in OECD Countries
Schem e
Normal age
Incre- ase (%)
Early age
Reduct -ion (%)
Schem e
Normal age
Incre- ase (%)
Early age
Reduct -ion (%)
Austral ia
T DC
67 67
-
.. 60
-
Japan Basic/ DB
65 8.4 60 6.0
Austria DB 65 4.2 62 5.1 Korea DB 65 7.2 60 6.0 Belgiu
m DB 65 0 62 0 Luxem
bourg DB 65 .. 57/60 0
Canada Basic/ T
DB
67 65
7.2 8.4
.. 60
7.2
Mexico Min DC
65 65
0 -
60 any
age/60
0 -
Chile Basic/ T
DC
65 65/60
-
.. any age
-
Netherl ands
Basic 67 .. ..
Czech Republ
ic
DB 69* 6.0 64 3.6-5.6 New Zealan
d
Basic 65 .. ..
Denma rk
Basic/ T
DC
67 67
5.8 -
..
..
Norwa y
Min NDC/
DC
67 67
-
.. 62
-
Estonia Points DC
65 65
10.8 -
62 62
4.8 -
Poland NCD/ DC
67 - ..
Finland Min DB
65 68
7.2 4.8
63 63
4.8
Portug al
DB 65 4.0- 12.0
55 6.0
France DB DB(Oc
c)
67 67
5.0 0
62 60
5.0 4.0-7.0
Slovak Republ
ic
Points DC
67 67
6.0 -
65 65
6.5 -
Germa ny
Points 67 6.0 63 3.6 Sloveni a
DB 65 4.0 60 3.6
Greece DB 67 0 62 0/6.0 Spain DB 67 2.0-4.0 65 6.0-8.0 Hungar
y DB 65 6.0 .. Swede
n Min NDC DC
65 65 65
4.9-61
-
.. 61
55/61
4.1-4.7
- Iceland Basic/
T DB(Oc
c)
67 67
6.0
.. 65
7.0
Switzer land
DB DB(Oc
c)
65M/6 4F
65M/6 4F
5.2-6.3 4.5-5.0
63M/6 2F 58
6.8 6.35- 7.1
Ireland Basic/ T
68 .. .. Turkey DB 65 0 ..
Israel Basic/ T
DC
67M/6 4F 67
5.0 -
..
United Kingdo
m
Basic/ DB
68 10.4 ..
Italy NDC 67 - 62 - United States
DB 67 8.0 62 5.0/6.7
Source: OECD Pension at a Glance 2013, p.127 Note: DB = defined benefit; DC = defined contribution; Min = minimum benefit; NDC = notional defined contribution; Occ = occupational; T = targeted; .. = early retirement or deferral of pension is not available; - = benefits are automatically adjusted fore early or late retirement in DC scheme; Where pension ages for men and women differ they are shown as M/F. * The Czech Republic decided on an open-ended increase of pension age by two months per year (OECD, 2013b, p.9)
69
Public pension schemes
The main ways that public pensions affect individuals’ work/retirement decisions can be
summed up as the pension eligibility age, the generosity of pensions, and the degree of
flexibility in combining income from work and pensions (OECD, 2006a). In the last
decade, most of the 34 OECD countries have passed legislation to raise the pension age
or the contribution requirements that earn entitlement to full pension benefits (OECD,
2013b, p.23). As shown in Table 4.1, an official pension age of 67 is now becoming
more common, and some countries such as Czech Republic, Ireland and the United
Kingdom have gone even further, moving to 68 or 69 years (OECD, 2013b). The same
pension age for men and women has also come to be a clear trend across the OECD
countries, with exception only of Israel and Switzerland (OECD, 2013b).
Although there is little work on how a rise in the pension age affects the labour force
participation (Staubli and Zweimüller, 2013), increases in the pension eligibility age are
known to affect working longer. Gruber and Wise (2002) found from their analysis of
12 countries, Belgium, Canada, Denmark, France, Germany, Itlay, Japan, the
Netherlands, Spain, Sweden, the United Kingdom, and the United States with very
different social security programmes, labour market institutions, cultural histories, and
other social characteristics that raising the age of benefit eligibility by 3 years increased
the proportion of men aged 56-65 who were working by as much as 36 per cent over the
long run. They concluded that the state pension was clearly the key factor in enabling
and prompting people to retire, and a reform delaying benefit eligibility would reduce
the substantial proportion of men aged 56-65 out of the labour force. More recent
analysis that Mastrobuoni (2009) conducted in the US context showed that an increase
in the normal pension age by 2 months delayed effective retirement by around 1 month.
In response to the combination of lower mortality rate, higher life expectancy, and lower
fertility rate, many countries have also been cutting the benefits for the financial
sustainability of pension systems. Pension reforms in the OECD countries since the
early 1990s have reduced future public pension benefits on average by 20 per cent
(OECD, 2011). While some have done it by changing pension contribution rates or
financing mechanisms, such as building public pension reserves, others, by modifying
70
the calculation or indexation rules applicable to pension benefits under the existing
systems or even further transforming the entire systems, such as from a defined-benefit
(DB) scheme to a defined-contribution (DC) scheme or a notional defined-contribution
(NDC) scheme (Martin and Whitehouse, 2008). Overall pension benefit cuts may
prevent workers from retiring early and delay the timing of it to the official pension
eligibility age and over while more generous benefits work as a work disincentive.
Henseke (2011) observed among the OECD countries that, on average, countries with
relatively generous pension systems experienced lower employment rates among
persons aged 55-64, and more generous pension systems tended to lead to a more
noticeable decline in employment after the ages 55-59. Along with this, a large number
of the OECD countries have introduced benefit increments for deferral of pension take-
up and/or benefit penalties for retirement before the statutory or minimum pensionable
age as shown in Table 4.1 (OECD, 2013b). An extensive literature typically found that
changes in retirement benefits may have significant impacts on the timing of retirement
(Staubli and Zweimüller, 2013)5. However, compared to the benefit penalties for early
retirement, the pension increment may not have sizable influence on work incentives
when work and pension receipt after the normal pension age can be combined (OECD,
2013b). The financial penalties for early retirement and their effects will be discussed in
the section on early retirement schemes.
Apart from the pension eligibility age and the generosity of pension benefits, how other
institutional arrangements concerning pension receipts are set also influences working
after the normal pension age (OECD, 2006a, p.59). As shown in Table 4.2, a number of
countries have developed related rules to allow people to continue working and draw
pensions at the same time. However, some countries have limits to combining pension
receipts and working, paritcuarly during a period between a life-time job and full
retirement. In Poland and Slovenia, working while taking pension is simply not allowed
for workers below normal retirement age, and in Spain, pension benefits are reduced
according to the length of the working day if an individual below normal retirement age
combine working and pension receipt. In Austria and Germany, earnings from work
should be below a certain level for working individuals aged below 65 to receive full or
reduced pension benefits. These limits are typically not applied to workers aged 65 and
71
Table 4.2 Limits to Combining Work and Pensions
Country Rule Country Rule Country Rule Austria Below 65: above EUR
349.01/month the pension is fully withdrawn Above 65: no limit
Germany Means-tested benefit for the over 64s: reduced by 30% of income earned if > EUR 180/month and fully withdrawn if income > of the full means-tested (i.e. EUR 180); For those aged below 65 on early statutory retirement: amounts exceeding EUR 400/month are deducted from pensions
Netherlands No limits
Belgium If above EUR 21,436.5 (single) the pension is reduced by the amount beyond the limit; If earnings are 15% above the threshold, the pension is fully withdrawn
Greece Possible after age 55; Limited if monthly pension income is below EUR 733, the pension in this case is reduced by 70% for evey extra euro
Poland Lmits below normal retirement age
Bulgaria No limits Hungary Limit: 18 times the minimum wage (EUR 6,027)
Portugal No limit, but working in the same company as before retirement is not allowed for three years after pension
Cyprus No limits Ireland No limit for the state pension (contributory)*
Romania It is only allowed to combine work and pension if pension is lower than the gross average wage (EUR 463/year)
Czech Republic
No limit; Additional annual 0.4% receiving full pension; There are restriction for early retirement
Italy No limits; however, other social benefits (i.e. disability) or survivors’ pensions are cut progressively if annual income is above EUR 23,826.40 or EUR 18,229.77, respectively
Slovak Republic
No limits
Denmark Partial means test of supplementary pension
Lavita No limits; the pension contribution rate is lower when combining work and pensions rather than for pension deferral
Slovenia Lmits below normal retirement age
Estonia No limits Lithuania No limits Spain Under 65: pension reduced according to the length of the working day
Finland No limits Luxembou rg
No limits;contribution paid when working are refunded at the end of the year
Sweden No limits
France No limits for the over- 65s and for those aged between 60 and 65 who have contributed for at least 40 years
Malta No limits; contribution rate: 10% of wage until 65 (then contribution stop)
UK Pension credit is reduced by full income receipt as long as income is below EUR 168.77/week
Source: OECD (2014b), p.102 * In Ireland, there was a limit to earnings from work as EUR 38/week under the state pension (transition) payable between 65 and 66; however, the state pension (transition) has been abolished in January, 2014.
72
over. This suggests that the limits ostensibly do not act as a work disincentive, at least
for those over the normal pension age. However, the limits to combining work and
pension receipt in early old age can prevent those aged 65 and over from working in as
much as an individual would hardly find a job after the normal pension age if s/he
stopped working for pension benefits before reaching pension age.
Private pension schemes
Private pension schemes play a large role in pension provision in a number of countries,
and these have been getting more important in recent years as pension reforms have
reduced public pension entitlements (OECD, 2006a; OECD, 2013b). According to
OECD (2013b), private pensions are mandatory or quasi-mandatory in 18 OECD
countries and cover almost or more than 70 per cent of the working age population in
Australia, Chile, Denmark, Estonia, Finland, Iceland, Israel, the Netherlands, Norway,
and Switzerland and more than 40 per cent in Mexico and Slovak Republic; in further
eight OECD countries, such as Belgium, Czech Republic, Germany, Iceland, Ireland,
New Zealand, the United Kingdom, and the United States, voluntary private pensions
cover more than 40 per cent of the working age population. Because of this trend,
private pension schemes can exert an significant influence on work/retirement decisions
(OECD, 2006a).
The ways that private pensions can affect individuals’ work/retirement decisions are
related to the earliest age at which benefits can be accessed and the replacement rate
which shows the level of pension entitlement in retirement relative to earnings when
working. The earliest age accessible to pension benefits vary by country and across
schemes even within a country but is typically governed by some minimum age that tax
regulations set up (OECD, 2006a, p.60). Deferring the age can exert pressure not only
upon workers’ work/retirement decisions but also on employers’ utilisation of private
pension for sheding older workers. Australia and the United Kingdom are adopting a
higher minimum age for private pension benefits. Gradual rises of the age are scheduled
in Australia over the period 2015-2025, and the United Kingdom raised the age from 50
to 55 in 2010 and will make a further increase from 55 to 57 in 2028. Besides the direct
way of increasing the minimum accessible age to pension benefits, there are indirect
73
measures which may virtually put off the age of retirement. In Australia, the upper age
limits for private pension compulsory contributions has been removed, and in
Luxembourg, the rate of increase in pension savings has been lowered (OECD, 2013b,
p.24). OECD (2013b, p.24) forecasts that if workers are to gain pensions at pre-reform
levels under such arrangements, they will need to pay contributions for three extra years
or accept an average entitlement in 2050 which will be approximately 12 per cent less
than the present one.
Replacement rates also differ from country to country and from scheme to scheme even
within a country. Among thirteen OECD countries, which have mandatory or quasi-
mandatory schemes, replacement rates from the schemes for average earners range from
22 per cent to 39 per cent in eight; but, the rates are much higher than the range in
Demark, Iceland, Israel, and the Netherlands and considerably lower in Norway
(OECD, 2013b, p.136). Since private pensions have been developed in many countries
as public pensions have been relatively small, replacement rates in private pensions may
significantly influence individuals’ retirement income and thus their retirement
decisions. Studies analysing labour market exit in the United Kingdom agree that a large
portion of workers with private pension schemes, including occupational pensions,
retire at age 55 when relatively generous benefits become available while workers are
not encouraged to retire early by the flat rate state retirement pension scheme (Oswald,
1999). Meanwhile, the type of private pension scheme can affect the timing of relevant
pension wealth accrual. Defined-contribution schemes that have become more prevalent
in recent years arguably tend to require more years on the job for pension entitlement
with an acceptable replacement rate than defined-benefit schemes because the former is
based on an individul’s amount of contribution and its investment performance while
the latter is tied to workers’ earnings, tenure of service, and age. Friedberg and Webb
(2005) found in the United States that workers with defined-contribution plans retired
two years later on average, compared to their counterparts with defined-benefit plans,
and argued that the changes in pension structure from defined-benefit schemes to
defined-contribution plans can help explain the rise in American retirement age. But, it
should be noted that the defined-contribution scheme is promoted for improving
financial sustainability rather than for encouraging working longer.
74
Official early retirement schemes
Early exits from the labour market have occured mainly through provisions in the
pension systems, formal early retirement schemes, or other social transfer programmes,
such as disability or unemployment benefits (OECD, 2006a). Official early exit
provisions in the pension systems and formal early retirement schemes with relatively
low early pension eligibility age and generous entitlements were widespread across
countries in response to growing unemployment among younger people. But, their
effects which were below expectations with regard to umemployment have led to
reducing or abolishing the formal early retirement schemes, interlinking with rising
concerns about population ageing. As shown in Table 4.1, nine OECD countries,
including Denmark, Hungary, Ireland, Israel, the Netherlands, New Zealand, Poland,
Turkey, and the United Kingdom, do not allow early retirement in any mandatory part
of the pension systems while the majority of countries have replaced their arrangement
by increasing the early retirement age and reducing benefits. Meanwhile, the pathway
through disability or unemployment benefit systems, which is not an official form of
early retirement schemes, is still an effective route and will be dealth with in the section
of de facto early retirement schemes.
A series of previous studies on pension provision and retirement have agreed a sharp
increase in labour market exit at the age of first eligibility for retirement benefits
(Gruber and Wise, 1999). Given this empirical regularity, raising the early retirement
age is likely to be more effective in lengthening working life than increasing the normal
pension age. Using two pension reforms in Austria which increased the early retirement
age, Staubli and Zweimüller (2013) studied to what extent the increase in the early
retirement age turned out to be an effective tool to increase employment of older
workers and found that raising the early retirement age increased employment by 9.75
percentage points among affected men and by 11 percentage points among affected
women. Vestad (2013) who estimated labour supply effects of an early retirement
programme in Norway also had similar findings. If there had not been an early
retirement option, 50 per cent of early retired pensioners would be working at the age of
66.5, which is a little below the Norway retirement age, 67; and if the age limit for early
retirement had been 64 rather than 62, 70 per cent would be working at the age of 63.
75
On top of an increase in the early retirement age, the financial penalties for early
retirement are also likely to restrain workers from retiring earlier than, at least, the
normal retirement age. Hanel and Riphahn (2012) investigated how reduced benefits for
early retirement affected female workers’ retirement decisions after the 1991 reform of
the Switzerland mandatory retirement insurance and reported that reduction in benefits
by 3.4 per cent lowered the odds of retirement at age 62 from 46 per cent to 22 per cent.
‘Tax force’
‘Tax force’ is Gruber and Wise’s term referring to the ‘burden’ of implicit taxes on
continued work (Heywood and Siebert, 2009, p.9). If public retirement pension benefits
are raised, or eligibility ages, including early retirement/disability programmes, are
lowered, implicit taxes on working increases (Heywood and Siebert, 2009, p.9). Based
on their findings from the two consecutive analyses of eleven and twelve industrialised
countries, including Belgium, Canada, Denmark (included only in the second analysis),
France, Germany, Italy, Japan, the Netherlands, Spain, Sweden, the United Kingdom,
and the United States, for the period from the 1960s to the mid-1990s, Gruber and Wise
(1999; 2002) argued that there were a clear relationship between the public pension tax
on work and leaving from the labour force, which was largely causal. In a similar vein,
Duval (2003) estimated the implicit tax penalty of working an additional five years
among OECD countries and mainly found that changes in implicit tax rates and
standard retirement ages explained about one-third of the trend decline in older males’
participation in the OECD between 1970 and 2000 (Duval, 2003, p.22, quoted in
Heywood and Siebert, 2009, p.9). More specifically, the estimates suggested that in
several European countries, including Austria, Belgium, France, Finland, Germany,
Italy, and Luxembourg, there were substantial tax penalties to continuing to work after
the age of 60 and also that the tax penalties were closely interwinded with higher
probabilities of retirement before the age of 65 in those countries (OECD, 2006a, p.61).
Van Soest and Vonkova (2014, p.247) also found from their simulations with the Dutch
survey data that changing the rewards for delaying retirement from actuarially fair to 50
per cent of actuarially fair would lower the mean retirement age by 9.7 months.
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However, Engelhardt’s (2012) analysis using the first two waves (2004/05 and 2006/07)
of the Survey of Health, Ageing and Retirement in Europe (SHARE) for eleven
European countries, including Austria, Belgium, Denmark, France, Germany, Itlay, the
Netherlands, Spain, Sweden, Switzerland, and the United Kingdom, did not find any
significant effect of implicit tax rate on the exit from the labour market. Moreover, it is
questionable whether no large implicit tax on working beyond the pensionable age and
delaying the receipt of benefits substantially encourages older adults to continue to
work. Although Duval’(2003) estimates indicated that Demark, Iceland, New Zealand,
the Netherlands, and Turkey had around or below five per cent implicit tax on continued
work for five more years in early retirement route as well as in regular old-age pension
system in both 2007 and 2009 (OECD, 2014a, p.96), OECD’s (2012) Pensions and
Labour Market Statistics showed that the average effective age of retirement in
Denmark and the Netherlands fell short of the official retirement age whereas the age
was reasonably higher than the official one in Iceland, New Zealand, and Turkey, during
the period of 2006-2011(OECD, 2013c, p.22). Even where there are ‘actuarially
neutral’6 increases in pension entitlements for working extra years, a marked spike in
retirement may occur around the earliest age at which workers can receive a pension
(OECD, 2006a, p.57). According to OECD (2006a), the United States is a representative
case, and Hanel and Riphahn (2012) explains it as the possibility of unobserved
heterogeneity in preference for retirement which might influence both (dis)incentives
and responses to them.
De facto early retirement schemes
The empirical regularity with regard to labour market exit at the age of first eligibility
for retirement benefits sheds light on the odds that the abolition of official early
retirement schemes can lead people to seek another possible way to leave work earlier
than their normal retirement age with affordable financial benefits. This implies larger
spillover effects of reforming early retirement schemes on other non-pension benefits.
OECD (2006a) pointed it out that any efforts to reform formal incentive systems for
early retirement could not make its purpose if they were weakened by other non-pension
benefit programmes which allowed people to exit from work prematurely. In pracitce,
disability or unemployment benefits are often taken by workers as alternative routes
77
into early retirement, especially where the benefits are relatively easy to access (OECD,
2006a; 2011). Duval (2003) found from his research across the OECD countries that
social transfer programmes, including disability and unemployment benefits, had
sizeable effects on the departure of older male workers aged 55-59 from the labour
force. Staubli and Zweimüller (2013) found from their study on the effects of increased
early retirement age on employment of older workers in Austria that raising the early
retirement age had large spillover effects on the unemployment insurance programme.
Registered unemployment among men increased by 12.5 percentage points and among
women by 11.8 percentage points. Spillovers to the disability programme were
relatively small; however, low-wage and less healthy workers, in particular, retired early
through the disability programme or waited for being the new early retirement age with
receiving unemployment benefits.
Although there are some examples of efforts to tackle those de facto early retirement
schemes by tightening eligibility or restricting replacement rates, such as in Canada,
Denmark, Finland, Italy, the Netherlands, Norway, Sweden, and the United Kingdom,
the majority of countries have not made much progress in tackling the utilisation of the
non-pension benefits for early retirement, mainly due to political resistance to change in
those provisions for the vulnerable (OECD, 2006a).
Employment Protection Legislation (EPL)
Employment protection legislation in general
While pension and tax-related policies are more related to the supply-side of the labour
market in as much as they affect individuals’ work/retirement decision, employment
protection legislation, including anti-discrimination law, concerns the demand-side of
the labour market because it has influence on employers’ employment/dismissal
decision. Strict employment protection legislation can operate as a double-edged sword
in labour market outcomes for workers. On the one hand, the legislation may lead to
greater retention of workers because it raises firing costs; at the same time, it may
reduce the number of hires since it increases hiring costs as well; and as a result, the net
impact on employment rates is uncertain (OECD, 2006a, p.70). Daniel and Siebert’s
(2005) analysis conducted mostly in the UK and the US contexts found that stricter
78
protection provisions tended to lower hiring rates at both ends of the age spectrum while
OECD (2004) suggested that the relationship between employment protection
legislation and labour market outcomes was less clear for older workers than for other
age and gender groups. Meanwhile, OECD (2011a) which used the index of the
strictness of employment protection legislation as set out in OECD (2004) and
compared the index with labour market outcomes for men aged 50-64, showed that
there was a strong negative relationship between employment protection and both
employment rates and hiring rates of older workers. However, OECD (2011a, p.73)
added that more rigorous studies which controlled for other factors affecting
employment rates of older workers, including OECD (2006b) and Dorn and Sousa-Poza
(2010), showed a much weaker relationship between employment protection and labour
market outcomes of older workers. Henseke (2011) also found that countries with
relatively rigid employment protection laws, along with relatively generous pension
systems, had lower employment rates among individuls aged 55-64, but a change just in
employment protection did not improve the employment of older workers as such.
Although stringent employment protection legislation reduces the odds of dismissal
among older workers, it, on the other hand, may raise unemployment duration of older
jobseekers because employers tend not to newly hire (Siebert, 2005; quoated in
Heywood and Siebert, 2009). While there are few studies on the relationship between
employment protection legislation and labour market outcomes of older workers,
research on the relationship between the legislation and unemployment has been
recently active. Daniel and Siebert’s (2005) work of the OECD countries showed the
prediction; and Bertola, Blau, and Kahn (2007) also found the same pattern (Heywood
and Siebert, 2009, p.11).
Anti-age discrimination legislation
Although legal provisons banning age discrimination have been introduced in a
considerable number of countries, such as Australia, Canada, Czech Republic,
Switzerland, the United Kingdom, and the United States, they are evaluated either not
very effective or insufficient (OECD, 2006a). Anti-age discrimination law is a form of
employment protection legislation, which also have two opposing effects on the status
79
of workers in the labour market (Heywood and Siebert, 2009). Lahey’s (2008) results
from the United States showed that older white male workers in states with anti-age
discrimination laws were 0.2 percentage points less likely to be hired, worked 0.8-1.3
weeks less a year, were 0.5-0.7 percentage points more likely to report being retired,
and were 1.6-3.0 percentage points more likely to report that they were not employed,
compared to counterparts in states without the laws. Neumark and Button (2014) also
examined in the US context whether stronger age discrimination protections helped
older workers weather the Great Recession and found very little evidence for their
positive effects. Rather, they concluded that stronger age discrimination protections
were combined with more negative effects of the Great Recession. Lahey (2010) added
in her further research the point that the US anti-age discrimination legislation have
more recently acted as a means of keeping down the costs of entitlement programmes.
According to her, European anti-age discrimination legislation, with less enforcement
and more exemptions than the US one, could have smaller effects on employment
among older workers.
Some countries have directly addressed the labour market to increase the participation
rates of older workers by abolishing or increasing mandatory retirement ages (OECD,
2013b). In Australia, Canada, New Zealand, the United Kingdom, and the United States,
for example, mandatory retirement is prohibited at any age as a way of combating age
discrimination against older workers on the job market; and in France, Japan, and
Sweden, minimum permitted mandatory retirement ages have been raised (Wood,
Robertson, and Wintersgill, 2010, quoted in OECD, 2013a, p.85). According to a
comparative review of international approaches to mandatory retirement conducted by
Wood, Robertson, and Wintersgill (2010), anti-age discrimination legislation, with no
other supporting policies to pull in older workers, did not have a significant impact on
the participation rates of older people in the labour market. They found that employers
often thought prohibiting mandatory retirement would increase their costs while it was
not clear whether the prohibition would bring about actually the case, with the
exception of countries where seniority wages were common. However, their findings
suggested that age legislation could make employers to provide more opportunities and
flexible conditions for older workers to work longer through phased transition to
80
retirement.
Age Discrimination in Working Life
The prevalence of early retirement brought about ‘an ‘early retirement culture’, which
involved a perception of early retirement as ‘normal’ practice incorporated into
individual retirement plans as well as companies’ policy, but also an increasing
emergence of negative age stereotypes’ (Hofäcker and Unt, 2013, pp.163-164).
Although early retirement has already been an outdated practice and working longer has
been encouraged by governments and become more acceptable in societies, employers’
perception and treatment of older workers has not changed very much. In this context,
disadvantages and discriminations that older workers face at the workplace can be an
index to inform of their status in the labour market.
There is a large volume of research in the field of age discrimination against older
workers at the workplace. Wood, Wilkinson, and Harcourt (2008) fully reviewed the
literature on this research area, and it would be useful to summarise their discussion for
an overview of it. They divided the existing research into three broad categories, ‘the
underlying causes and consequences of age discrimination at the workplace’, its ‘nature
and extent’, and ‘the effects of various governmental initiatives and policy options’
(Wood, Wilkinson, and Harcourt, 2008, p.426). Among the three, the review of research
on the effects of government initiatives and policy options is omitted in this section
because it was already discussed above. According to Wood, Wilkinson, and Harcourt
(2008), research which explores the causes and consequences of age discrimination at
the workplace is firmly based on theoretical perspectives, mainly neoliberal accounts
and political economy. There are three strands of neoliberal accounts: the first argues
that ‘older workers’ higher pay simply makes them less attractive to employers’; the
second suggests that older workers often return to the labour market to get insecure and
low paid jobs ‘as a lifestyle choice’; and the third argues that employers discriminate
against older workers due to their lack of information on older workers’ productivity
and reliance on ‘erroneous stereotypes’ (Wood, Wilkinson, and Harcourt, 2008, p.426).
Political economy accounts which focus on ‘the relationship between culture and,
81
particularly institutions, in reinforcing age-based inequality at the workplace’ (Wood,
Wilkinson, and Harcourt, 2008, p.428) contend that older workers tend to bear in the
context of industrial change a proportion of ‘costs of periodic structural changes under
capitalism’, such as flexibility, leaner organisation, the fragmentation of the
employment relationship, and the changing sectoral composition, particularly because
‘it is more socially acceptable, even to the older workers themselves’ and also because
‘they are more easily persuaded and pressured’ to take the costs as Taylor and Walker
(1997, pp.307-308) note (Wood, Wilkinsion, and Harcourt, 2008, p.429).
The second category of research which informs of the nature and extent of age
discrimination at the workplace shows that older workers are more likely to be
discriminated against in recruiting and hiring (Urwin, 2004; Walker, 1993; Sargeant,
2001, quoted in Wood, Wilkinson, and Harcourt, 2008), redundancy situation
(Arrowsmith and McGoldrick, 1997; Sargeant, 2001; Walker, 2005, quoted in Wood,
Wilkinson, and Harcourt, 2008), and promotion and training (Walker, 1993, quoted in
Wood, Wilkinson, and Harcourt, 2008), also more likely to be dismissed as a result of
the negative perception of older employees held by managers (Johnson and Neumark,
1997, quoted in Wood, Wilkinson, and Harcourt, 2008), but less likely to find jobs while
leaving the labour force (Rix, 2005; McGregor and Gray, 2001, quoted in Wood,
Wilkinson, and Harcourt, 2008) and hence, more likely to exit the labour force
permanently as Neumark (2003, quoted in Wood, Wilkinson, and Harcourt, 2008) points
out. More critical literature argues that older workers often face an unfavourable ‘choice
between poverty and workplace discrimination’ (Wood, Wilkinson, and Harcourt, 2008,
p.432) as the costs of social welfare have increased with the population ageing. This
wide range of discrimination against older workers is characterised as being more
related to stereotypes, prejudice, and age culture combined with changes in
demographics and economic structure in as much as findings from a rich body of
research on the relationship between age and productivity, which has been regarded as a
prominent factor to explain older workers’ disadvantages at the workplace, are
inconsistent. Another nature of discrimination against older workers is that the
discrimination ‘can be concealed in a range of ways’ (Wood, Wilkinson, and Harcourt,
2008, p.435), for example, relating to equal opportunity in hiring, pay discrimination,
82
and sectoral attributes, which force older employees out into retirement.
So far, research on older workers which illustrates their status in the labour market has
been reviewed. It suggests the fact that the research on older workers has focused
exclusively on employment issues, including hiring, dismissal, redundancy, retirement,
and discrimination, and also the one that older workers are likely to be vulnerable in the
labour market. This implies that there is a critical research vacuum in as much as older
workers’ vulnerability found in one dimension of their working life, such as
employment issues, is bound to lead to various dimensions, including wages and
earnings. That is, the need for research about the issues of wages and earnings and
policies relating to income from work among older workers, with a focus on their
vulnerability in the labour market is addressed. Studying the effect of the minimum
wage focusing on older workers may answer the need, in as much as the minimum wage
is a public policy which intervenes in wages and earnings for vulnerable workers in the
labour market. However, compared to an enormous amount of research about the effect
of the minimum wage, older workers tend to have long been ruled out in this research
field. This point will be shown in the following part of this chapter through a review of
studies which explored the effects of minimum wages focusing on older workers or
including them in their analysis. Note that the review in the following part of this
chapter is to provide an overview of the empirical studies and does not cover theoretical
literature which informs of major issues, assumptions, and hypotheses in the research
field of the effect of the minimum wage. The theoretical literature will be discussed in
Chapter Five where an alternative framework for understanding the effect of the
minimum wage is proposed alongside the research methods for this thesis. This
discussion will examine particularly the extent to which dominant theoretical accounts
deal with the issue of the minimum wage in terms of the ‘disruption’ made by its
introduction or uprating and presume actors’ rationality in the labour market.
83
Minimum Wages and Older Workers
Overview
The effect of the minimum wage has been intensively studied, particularly since the
renaissance of the minimum wage in the 1990s. The economy that the research covered
has also expanded from developed countries, including the United States and the United
Kingdom, to developing countries, especially Latin America, from that period.
However, the research about the effect of the minimum wage, which has been carried
out dominantly by economists, was mainly concerned with the aggregate effects for the
whole working-age population (aged 15-64) in a state, industry, or firm level, and a
significant number of them concentrated on youths and young workers under the age of
25. Fang and Gunderson’s (2009) work about the effects of minimum wages on
employment of older workers was the only study that focused on the impact on older
workers as they stated. It was recently followed by Lanot and Sousounis (2017) which
explored the degree of substitutability between labour inputs caused by the minimum
wage, paying special attention to older workers. Apart from these two that have
exclusive attention to older workers, a few studies linked the effects of the minimum
wage with older workers by including results for older workers as a part of their
analyses or through using advanced ages as a factor which may affect employment,
wage, income, and poverty. In this part, Fang and Gunderson’s (2009) and Lanot and
Sousounis’ (2017) works are first reviewed, and then the studies which linked the
effects with older workers will be surveyed (Table 4.3). This review aims to get an
overview of the scope and main findings of studies which have been done about the
effect of the minimum wage relating to older workers.
84
Table 4.3 Studies of Minimum Wage Effects and Older Workers
Study Minimum wage variation
Group Data Results in relation to older workers
Studies Focusing on the Effects on Older Workers Fang and Gunderson 2009
Provincial variation during 1993-1999
Older workers 50 years or older
SLID, 1993-1999 (Canada)
Statistically significant and positive effect on employment of older workers
Lanot and Sousounis 2017
National minimum wage rates during 1999- 2010
Various ages in low paying sectors
Quarterly LFS and ASHE, 1997-2010 (U.K.)
Statistically significant effect on changes to relative wages and relative wage bills but not to relative employment in the workforce age composition; No substitution between young workers aged 16-21 and older workers aged 55 and over
Studies Linking the Effects with Older Workers Employment Gramlich 1976
Federal minimum wage increases in 1961, 1967, and 1974
Teenagers and adult workers
U.S. Manpower Administration’s National Longitudinal Survey (quarterly), 1948-1975 (U.S.)
Rise in part-time employment for male workers aged 65 and over
Alpert and Guerard 1988
Federal minimum wage rates during 1965-1979
Nonwhites, teenageers, nonwhite teenagers and older workers aged 55 plus
Current Population Survey (monthly) 1965-1979 & 1980-1981 (U.S.)
Neither increase in unemployment nor decrease in employment for workers over age 55
Van Soest 1989
Simulated decline in statutory minimum wage
Various ages Socio Economic Panel (1st wave) 1984 (Netherlands)
Decrease in unemployment for both males and females aged 55-64 by 37% and 21%, respectively if minimum wage rate reduced by 10%
Dodson 2002
Kaitz minimum wage index (ratio of the federal minimum wages to the average hourly earnings for each industry at the county level)
Prime working age population (15-64)
Regional Economic Information System; West Virginia Bureau of Employment Programs, 1988-1995 (U.S.)
No significant correlation between the number of persons aged 65 plus and county-level employment
Phimister and Theodossion 2009
Introduction of national minimum wage in 1999
Men and women in various ages
BHPS 1992-1998, 1999-2005 (U.K.)
Significant increases in the high pay exit probability for men aged 45-56 while significant increase in unemployment probability for women aged 45- 56; reduction in expected duration of low pay spell for both
85
Study Minimum wage variation
Group Data Results in relation to older workers
Employment (Cont’) Comola and Mello 2011
Kaitz index (ratio of minimum-to- mean wage for formal-sector workers)
Indivuduals aged 15-65 in formal and informal sectors
National Labour Force Survey (Sakernas), 1996-2004 (Indonesia)
Significant and positive correlation between the population aged 56-65 and unemployment
Wage Mobility Smith and Vavrichek 1992
Federal minimum wage in 1981
Minimum wage workers 16 years or older
1984 & 1985 panels of Survey of Income and Program Participation, 1983-1987 (U.S.)
Older minimum wage workers aged 55 or older, less likely to experience a wage gain and more likely to experience smaller pay increase than young and middle-aged workers
Shannon 1996
Provincial minimum wages
Individuals aged 16-64 who held at least one paid job in 1986
Canadian Labour Market Activity Survey, 1986 (Canada)
Rise in wages with age up to age 55-64
Long 1999
Federal minimum wage in 1991 (or state minimum wages during 1991-1995, if higher)
Minimum wage workers 15 years or older
1992 & 1993 panels of Survey of Income and Program Participation, 1991-1995 (U.S.)
Older workers, least likely to experience real wage gains and move up the real earnings ladder
Income Inequality Volscho 2005 State minimum
wages in 1959, 1969, 1979, 1989, and 1999
Family income State and Metropolitan Area Data Books, 1979 1986, 1991, 1998
No significant effects of the percentage of the population aged 65 plus on family income inequality
Wu, Perloff and Golan 2006
Federal and state minimum wages during 1981-1997
Entire income distribution
March Current Population Survey, 1981-1997 (U.S.)
No significant effects of the percentage of the population aged 59 plus on income inequality in both urban and rural area
Poverty Sabia and Burkhauser 2010
State and federal minimum wage increases during 2003-2007; newly proposed federal minimum wage rate for next increase
Individuals aged 16-64 in household with income-to-needs ratio below 1.5
March Current Population Survey, 2004-2008 (U.S.)
No significant effect of the share of older individuals aged 55-64 on poverty
Campolieti, Gunderson and Lee 2012
Provincial minimum wage increases during 1997-2007
Individuals aged 16-64 in household with income-to-needs ratio below 1.5
Survey of Labour and Income Dynamics, 1997-2007 March LFS 2008 (Canada)
No significant effect of the percentage aged 54-64 on poverty
86
Studies Focusing on the Effects on Older Workers
The two studies which focused on the impacts on older workers of the minimum wage,
Fang and Gunderson’s (2009) and Lanot and Sousounis’ (2017) were mainly concerned
with their employment, even though the latter also includes the results of wages. Fang
and Gunderson (2009) carried out a study of the employment effects for workers aged
50 and over of minimum wage increases in different provincial jurisdictions. Using the
longitudinal data of the Survey of Labour and Income Dynamics in Canada for the
period of 1993-1999, they compared employment transition probabilities of workers
afftected by minimum wage increases with a range of comparison groups in which
individuals were in a juridiction that did not have a minimum wage increase but their
wage had one of a serious of increments above or shortfalls below the minimum wage
in their juridiction. The results showed that the minimum wage increases had
statistically significant and positive effects on the employment of older workers and the
effects were robust across various comparison groups and meaures of the minimum
wage increases. This finding was theoretically unexpected and against the adverse
effects which were widely found in the early research performed before the 1990s7.
Most of all, it was opposed to the negative impacts which were estimated for youths in
Canada based on the same period, specifications, and dataset in Campolieti, Fang, and
Gunderson’s (2005). Fang and Gunderson (2009) considered as likely reasons for the
unusual finding employers’efficient practices in other cost factors, employees’efficiency
wage response where the higher wages induced higher productivity, employers’
monopsonistic behaviour, publication bias, and the substitution effect, which, except for
publication bias, will be discussed in the theoretical literature review part of Chapter
Five. They argued that the substitution effect was the most credible because increases in
the employment of older workers could occur if employers substituted away from the
least productive workers towards the more productive when both were subject to a
minimum wage increase, in which case, the least productive were arguably teenagers
with few skills and little experience, and those more productive were arguably older
workers with considerable experience (Fang and Gunderson, 2009, p.385).
The substitutability between younger and older workers in low paying jobs, however,
was not supported by succeeding work which paid special attention to the effects on
87
older workers of the minimum wage. Lanot and Sousounis (2017) studied the effect of
the National Minimum Wage on the workforce age composition within the low paying
sectors of the British economy, using two pseudo panels which were constructed from
each of the UK Quarterly Labour Force Survey (LFS) and the Annual Survey of Hours
and Earnings (ASHE) over the period of 1997-2010. They estimated the effects of the
fraction of those affected by the minimum wage in each age band (16-17 year olds, 18-
20 year olds, 21 year olds, and 22-54 year olds) on the changes to wages, wage bills,
and employment of each age group relative to older workers aged 55 and over and then
measured the elasticity of substitution between the four younger age groups and older
workers. The results showed that the introduction and the regular upratings of the UK
National Minimum Wage had a significant effect on the changes to the relative wages
and to the relative wage bills but not to relative employment and also that the elasticity
of substitution was close to zero between young workers aged 18-20 and older workers
aged 55 and over and around 0.79 between those aged 22-54 and older workers. Lanot
and Sousounis (2017) concluded that the results implied significant complementarity
between younger and old employees. Unlike Fang and Gunderson’s (2009), Lanot and
Sousounis’ (2017) research does not provide a direct evidence of the employment effect
for older workers. However, their findings inform that the employment of older workers
is likely to be affected by the minimum wage independent of the employment effects for
other age groups.
In sum, the two empirical studies which focused on or paid special attention to the
impact of the minimum wage on older workers were mainly interested in the issue of
employment, and their findings were theoretically unexpected in as much as the positive
employment effect was not predicted by the dominant economic theory of the minimum
wage, on the one hand, and as the substitution effect which was a possible account
supported by the mainstream theory for the positive employment effect for older
workers was betrayed, on the other hand. This existing evidence may address the needs
of accumulating more empirical evidence, enlarging the subject matter other than
employment, and seeking an alternative explanation based on the review of establisehd
theoretical accounts.
88
Studies Linking the Effects with Older Workers
As mentioned earlier, there are a few studies which linked the effects of minimum
wages with older workers. Some of them incorporated the results for older workers as a
part of their analysis, and others included older people in their analysis for controlling
the demographic effect or testing age effects. Compared to the studies which focused on
the impact on older workers, the findings from the ones which linked the effects with
older workers cover relatively a variety of subject matter, including employment, wage,
income, and poverty.
Employment
Gramlich (1976) addressed the issue of whether prevailing estimates of disemployment
were high enough to make low-wage workers worse off from increases in the minimum
wage and examined the impact of minimum wages on the wage structure, employment
demands, and family income distribution, using the US Manpower Administration’s
National Longitudinal Survey for the period of 1948-1975. He mainly found that as a
minimum wage increased beyond the range of 40 to 50 per cent of the median wage,
more workers were likely to lose their jobs or have to take part-time jobs, and higher
income families were more likely to benefit from the increase. Particularly for older
workers, he indicated that increases in the minimum wage resulted in a rise in part-time
employment for male workers aged 65 and over. Meanwhile, Alpert and Guerard (1988)
investigated the relationship between employment, unemployment, and the minimum
wage, using the US Current Population Survey for the period of 1965-1981, and found
that an increase in the minimum wage neither increased unemployment nor reduced
employment for workers aged 55 and over in the same way as for other workers, except
male teenagers aged 16-19 years and non-white males over the age of 20. Phimister and
Theodossiou (2009) included the results for workers aged 45-56. They examined gender
differences in the duration of low pay employment spells prior to and after the
introduction of the UK National Minimum Wage in 1999. Their findings showed that
the effects of many covariates on the expected duration, including age and education,
were often less for women than men, and the differences generally declined after the
introduction of the minimum wage. Especially for those aged 45-56, it was reported that
89
among male workers, the high pay exit probability significantly increased,
unemployment probability was flat, and the expected duration of low pay employment
spell was much reduced after the introduction of minimum wage, whereas among
female counterparts, the high pay exit probability decreased, unemployment probability
increased, and the expected duration was reduced.
Other studies on the employment effects of minimum wages used the older population
aged 50 or older as a control indicator of demographic effects or an explanatory variable
for age effects. That is, advanced age was assumed to be a socioeconomic factor that
affected labour market outcomes rather than a target age group to be explored. Van
Soest (1989) analysed the impact of minimum wage regulations in the Dutch labour
market, following the two-equations model introduced by Meyer and Wise8 which was
composed of a wage equation and an equation to explain labour market participation. In
the model, the wage equation assumed that, in absence of minimum wage regulations,
the hourly before-tax rate equaled the worker’s marginal net productivity, which
depended on personal characteristics (p.280), and individuals’ age and elderly status
(age of 65 and older) were used as explanatory variables for the wage and employment
equations. The model was estimated with data from the first wave of the Socio
Economic Panel collected by the Dutch Central Bureau of Statistics (CBS) in 1984. The
estimation results from the two-equations model showed that, for older people,
productivity decreased with age, which thus had negative impact on their wage rates,
and also participation probability fell with age although there was a big gap in absolute
values between men and women. Then, the estimation results were used for simulating
the case that all minimum wage rates were reduced by 10 per cent. Van Soest (1989)
found that a 10 per cent reduction of before-tax minimum wage rates would lead to a 28
per cent decrease of involuntary unemployment which was explained by the gap
between productivity and the minimum wage rate. Particularly for older workers, the
reduction of minimum wage rates by 10 per cent would decrease by 37 per cent and
20.8 per cent of involuntary unemployment for males and females aged 55-64,
respectively and 5.5 per cent and 13.6 per cent for each counterpart aged 65 and older.
90
Dodson (2002) also used the older population aged 65 and older as an independent
variable in his study on the employment effect of minimum wages in West Virginia. He
reported that the number of persons aged 65 and older was not significantly correlated
with county-level employment. However, the estimation results for older workers were
not specified because the main concern of the study was the effects on the ratio of total
county employment to the county population aged 15-64. In Comola and Mello’s (2011)
research, the share of the population aged 56-65 was used as one of the controls. They
studied how decentralized minimum wage setting would affect unemployment, formal-
sector employment, and the incidence of informality in Indonesian urban areas, and
mainly found that an increase in the Kaitz index, the ratio of the minimum wage to the
average wage of the working population, destroyed jobs in the formal sector, but those
job losses were more than compensated for by the expansion of the informal sector.
Their findings included the results that, for the entire working-age (15-65 years)
population, the Kaitz index was negatively signed and statistically significant in the
unemployment equation while the share of the population aged 56-65 years is positively
significant in the equation, and further that the positive demographic effect on
unemployment was much greater in magnitude per unit change than the negative effect
of changes in the Kaitz index.
Wage Mobility
Smith and Vavrichek (1992) examined the earnings mobility of workers employed at the
minimum wage in the United States, using longitudinal data from the 1984 and 1985
panels of the Survey of Income and Program Participation for the period of 1983-1987.
They found that 63 per cent of workers who were earning the minimum wage in the
mid-1980s were earning higher wages one year later, with a typical increase amounting
to almost 20 per cent, but a significant number of workers who mostly did not have a
high school diploma or worked on a part-time basis did not advance beyond the
minimum wage during the observed period of time. More specifically relating to older
workers, results indicated that minimum wage workers aged 55 or older were less likely
to experince a wage gain during the mid-1980s and their pay increases were smaller
than young and middle-aged workers. Their findings are consistent with Long (1999).
Using data from the 1992 and 1993 panels of the Survey of Income and Program
91
Participation for the period of 1991-1995, Long (1999) also analysed earnings mobility
among persons employed in minimum wage jobs in the United States and confirmed
many of the findings reported by Smith and Vavrichek (1992). Results showed that
older workers aged 55 and over were the least likely to experience a real wage increase
whereas about 64 per cent of minimum wage workers were paid a higher wage in real
terms one year later, with the 30 per cent average increase in pay. In neither of the two
studies was there further discussion on why the wage growth among older minimum
wage workers was exclusively lower than the one of young and middle-aged workers
employed in minimum wage jobs. Instead, they commonly regarded elderly status as
one of the traits that affected the size of real wage gains within one or two year after a
minimum wage increase. Shannon (1996) also used age dummy, including age group
55-64, as a regressor in his study on the effects of provincial minimum wages on the
size and composition of the gender wage gap in Canada. He found from the analysis of
the Canadian Labour Market Activity Survey for 1986 that minimum wages reduced the
wage gap substantially for young workers aged 16-24 and less so for adults aged 25-64,
which was most attributable to the adverse employment effects of minimum wages, and
wages rose with age up to the age band 55-64.
Income Inequality
A minority of studies about the effects of minimum wages on income inequality
included the proportion of older population as an explanatory variable or a control of
demographic characteristics, but none specified the effects of minimum wages for older
persons. Volscho (2005) studied the effects of state minimum wages on family income
inequality in the United States and used the percentage of older persons aged 65 and
over as a control variable. Using decennial state data covering 1960-2000, he tested the
hypothesis that states with higher minimum wages had lower levels of family income
inequality. Results showed that, although the relation between the minimum wage and
income inequality was non-linear, the state minimum wage over a certain level reduced
family income inequality, and there was no significant effect of older population. With
regard to the effect of older population, Wu, Perloff, and Golan (2006) found the same
result. Using Current Population Survey data for the period of 1981-1997, they
examined the effect of income tax rates, the minimum wage, and all the major
92
government welfare and transfer programmes on the evolution of income inequality for
urban and rural areas by state in the United States. In the study, they used the percentage
of population aged 59 or older as an independent variable and found that the age
variable did not have statistically significant effects on income inequality in both urban
and rural areas while increases in minimum wages raised both pre-tax and post-tax
income inequality only in urban area.
Poverty
As with the studies about the effects on income inequality, a small number of studies
which explored the effects of minimum wages on poverty reduction used the share of
older individuals as one of time-varying socioleconomic controls, and none specified
the effects of minimum wages for older people. Using data from the March Current
Population Survey, Sabia and Burkhauser (2010) mainly found that state and federal
minimum wage increases between 2003 and 2007 had no effect on state poverty rates in
the United States, and a proposed increase in federal minimum wage from $7.25 to
$9.50 would be more poorly targeted to the working poor than was the last federal
increase from $5.15 to $7.25 when simulating the case. In this study, it was indicated
that the percentage of older individuals aged 54-64 had statistically insignificant effects
on poverty rates both of all individuals and of working individuals. Meanwhile,
Campolieti, Gunderson, and Lee (2012) estimated the effect on poverty for Canada
using data from the Survey of Labour and Income Dynamics for the period of 1997-
2007. Their main findings showed that minimum wages did not have a statistically
significant effect on poverty, and only 30 per cent of the net earnings gain from
minimum wage increases would go to the poor while about 70 per cent spill over into
the non-poor. However, this study was consistent with Sabia and Burkhauser (2010) in
terms of statistically non-significant effect of the share of older individuals aged 54-64.
Conclusion
This chapter reviewed two research fields, research about the status of older workers in
the labour market and research about the effect of the minimum wage, with special
attention to older workers, in as much as they dealt with one of the two axes in subject
93
matter for this thesis. The review suggests that the two research fields have developed
apart from each other with no apparent common interest. Research about the labour
market status of older workers has focused exclusively on employment issues, including
hiring, dismissal, redundancy, retirement, and discrimination. This informs of older
workers’ vulnerability in the labour market and, at the same time, addresses the need for
research about the issues of wages, earnings, and policies relating to income from work
among older workers, with a focus on their vulnerability. Research about the effect of
the minimum wage may answer the need in as much as the minimum wage is a public
policy that intervenes in wages and earnings for vulnerable workers in the labour
market. But, despite an enormous amount of work in research about the effect of the
minimum wage, older workers have long been ruled out in the research field. Very few
empirical studies focused on or paid special attention to the impact of the minimum
wage on older workers, having the main interest in the issue of employment. A minority
of studies incorporated the results for older workers as a part of their analysis, and a few
others included older people in their studies only for controlling the demographic effect
and testing age effects. The findings from the very few studies showed that the effects
of the minimum wage for older workers were theoretically unexpected and hard to
understand within the mainstream theory of the minimum wage.
As noted earlier, the existing empirical evidence on the effect of the minimum wage on
older workers addresses the need to gain more empirical evidence, enlarge the subject
matter other than the issue of employment, and seek an alternative explanation based on
the review of established theoretical accounts. Aiming at responding to this need
through the later parts of this thesis, the following chapter will discuss a variety of
theoretical perspectives of the minimum wage and then develop a research design for
this thesis.
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Notes
1 The industrialism theory argues that the effect of public pension policy is limited, stressing the effects of economic growth. However, determinants to explain the labour force participation of older population may change over time. According to Pampel and Weiss (1983), economic growth is the best predictor of the labour force participation during the early time periods whereas for later time periods pension programmes may have larger effects on the participation than economic development variables. 2 The results of their examination pointed to the structural conditions of work organisation and economic actors as the main driving forces of early retirement. 3 The basic idea of Figure 4.1 was derived from Szinovacz’s (2003, p.23) ‘retirement decision process.’ 4 Austria, Denmark, France, Germany, Greece, Italy, the Netherlands, Spain, Sweden, and Switzerland were included in the analysis. 5 See Burtless, G. (1986). Social security, unanticipated benefit increases, and the timing of retirement. The Review of Economic Studies, 53(5), 781-805; Krueger, A. B. and Pischke, J. (1992). The effect of social security on labour supply: A cohort analysis of the Notch generation. Journal of Labour Economics, 10, 412-437; Borsch-Supan, A. and Schnabel, R. (1998). Social security and declining labor-force participation in Germany. American Economic Review, 88(2), 173-178; Coile, C. C. and Gruber, J. (2007). Future social security and entitlements and the retirement decision. Review of Economic Studies, 89(2), 234-246; Liebman, J. B., Luttmer, E. F. P., and Seif, D. G. (2009). Labour supply responses to marginal Social Security benefits: Evidence from discontinuities. Journal of Public Economics, 93, 1208-1223; and Manoli, D. and Weber, A. (2010). International substitution in labor force participation: Evidence from policy discontinuities. IZA Discussion Paper No. 5248. All were quoted in Staubli and Zweimüller (2013, p.18). 6 According to Queisser and Whitehouse (2006), ‘actuarial’ has been increasingly used in the analysis of pension systems and retirement incentives. They discuss two actuarial concepts, ‘actuarial fairness’ and ‘actuarial neutrality,’ and define them as in the following:
‘Actuarial fairness, which requires that the present value of lifetime contributions equals the present value of lifetime benefits. Actuarial fairness relates to the entire lifetime of contributions and benefits.’; ‘Actuarial neutrality, which requires that the present value of accrued pension benefits for working an additional year is the same as the year before (meaning that benefits increase only by the additional entitlement earned in that year). Conversely, retiring a year earlier should reduce the pension benefit both by the entitlement that would have been earned during the year and by an amount to reflect the longer duration for which the pension must be paid. Actuarial neutrality is a marginal concept, relating to the effect of working an additional year.’ (Queisser and Whitehouse, 2006, p.4)
‘Actuarial neutral’ in this thesis is loosely used for meaning no implicit tax on working beyond the pension eligibility age.
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7 The first-generation studies are well described in Card and Krueger’s (1995), and the new generation ones published since the 1990s are comprehensively reviewed in Newmark and Wascher’s (2008). 8 Meyer, R. and Wise, D. (1983). The effects of the minimum wage on the employment and earnings of youth. Journal of Labor Economics, I, pp. 66-100.
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Chapter Five Theoretical Framework and Research Methods
Introduction
Studies about the effect of the minimum wage rely primarily on mainstream economics.
The neoclassical paradigm has long dominated ideas about the effects, and orthodox
neoclassical models portray that the minimum wage entails adverse employment effects
and is an ineffective social policy tool for helping poor families (Neumark and Wascher,
2008, p.249). However, as the disemployment effect has not been supported by many of
empirical studies, monopsony models which modify the key assumptions embedded in
the neoclassical model have expanded the explanatory power of the economic theory,
opening the door for positive or neutral employment effects. Meanwhile, the Keynesian
paradigm, which supports government interventions in response to market failure in
contrast with the neoclassical perspective, has emerged in recent years as an alternative
economic approach for research on the effects of minimum wages. This perspective
argues that the minimum wage would stabilise the macroeconomic conditions,
preventing deflationary development, especially in period of economic crisis and under
weak union power, and helping to create a more equal income distribution with changes
in the structure of wages and the distribution within the working class (Herr,
Kazandziska and Mahnkopf-Praprotnik, 2009). However, both the neoclassical view
and the Keynesian approach rules out the political nature of the minimum wage from its
explanation by excluding political means from government interventions. Relatively
rare as they are, other alternative explanations can be sought in political economy
perspective. A problem of the political economy approach to the minimum wage is that
they are concerned with what other factors than economic ones make people support or
oppose the minimum wage rather than how the minimum wage affects workers.
The first part of this chapter discusses those existing theories of the minimum wage and
seeks an alternative theoretical framework for an enhanced understanding of the effects
of the minimum wage which contains both political and economic attributes as a public
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policy. As mentioned in Chapter Four, the discussion of the existing theories aims at
being advised of the extent to which they deal with the issue of the minimum wage in
terms of the ‘disruption’ made by its introduction or uprating and assume its
stakeholders’ rationality in the labour market, and thus at providing leads for seeking an
alternative framework founded on practical limitations of the existing theories. Then,
the second part develops a research design outlining research methods, data, and
analyses procedures, which are employed in later chapters of this thesis. In this part, the
necessity to employ a contextual analysis with qualitative data is argued, in that the
alternative theoretical framework sought in the first part of this chapter allows for the
influence of political attributes of minimum wage policy on top of its economic ones.
Economic Effects of Minimum Wages in the Neoclassical Paradigm1
Distribution Effects
Compared to the elaboration for the employment effect which will be presented in the
following section, the theoretical account of the effect of the minimum wage on the
wage distribution has been relatively less advanced. However, economic theory
grounded in the neoclassical paradigm predicts that minimum wages bring about mainly
two effects in the wage distribution, a spike and spillovers. If it is adequately enforced
and complied with, the minimum wage will cut off or thin out the lower part of the
wage distribution (Neumark and Wascher, 2008, p.107). This causes wages initially
below the minimum wage either to disappear or to push them up to the new minimum
wage, creating a spike at the minimum (Dittrich, Knabe, and Leipold, 2014, p.792).
Also, an increase in the minimum wage can lead to changes in the wage interval above
the minimum wage for several reasons. The simplest neoclassical models which
assumes two types of labour, skilled labour and unskilled labour, or only one type of
skill with different degrees of it among workers, does not suggest a spike in the wage
distribution but predicts a wage boost for workers already paid above the minimum
wage through the substitution of skilled workers or those with more skill for unskilled
workers or those with less skill. However, in response to the spike of the wage
distribution observed at the minimum wage and the spillover found more noticeably in
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wages only a little higher than the minimum, the model developed by Pettengill2
explains the spike either as a result of the fall in employment of workers directly
affected by the minimum wage until the marginal revenue product of workers in that
group increases to the point that it is equal to their wage or as a result of their upward
adjustment of effort for productivity improvement (Neumark and Wascher, 2008,
pp.109-110). This model assumes jobs with different sensitivity of worker productivity
to skill as well as a continuous distribution of worker skills and a labour market
equilibrium characterised by an upward-sloping wage curve that relates wages to skill,
and regards the sensitivity of productivity to skill as the reason for the spillover through
‘a greater degree of substitutability between workers whose skill levels are relatively
close than between workers whose skill levels are quite different’ (Neumark and
Wascher, 2008, p.109). A highly skilled worker in a job for which productivity is less
sensitive to skill would be only marginally more productive, but paid a lot more, than a
low skilled worker and thus tends to be hired in a job for which productivity is more
sensitive to skill. Accordingly, the minimum wage leads to the substitution of slightly
higher low skilled workers for the lowest skilled workers rather than of those with quite
different levels of skill, and raises the wages of the former by more than the ones of the
latter (Neumark and Wascher, 2008, p.109).
Monopsony models which assume the existence of frictions in the labour market which
allows employers to have potential market power over their workers (Manning, 2003,
p.4) also predict similar effects on the distribution of wages. In the original Burdett-
Mortensen model in which each employer posts a wage and employees randomly search
employers for a job paid at a higher wage (Burdett and Mortensen, 1998, p.258), spikes
are not expected because employers offer a wage slightly higher than the one paid by a
mass of firms (Manning, 2003, p.327; Neumark and Wascher, 2008, p.111). But,
Manning understands it as a result of ‘a discontinuity in the labour supply function
facing each firm at every wage that is paid by a mass of firms’ and suggests that taking
non-pecuniary firm features into account, such as ‘heterogeneity in the evaluation of
non-wage characteristics of jobs or mobility costs,’ allows to generate a spike in the
distribution of wages by eliminating the discontinuity in the labour supply function
(Manning, 2003, p.327; Neumark and Wascher, 2008, p.111). This equilibrium search
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model predicts spillovers concentrated among jobs paying just above the minimum
wage as well (Neumark and Wascher, 2008, p.110) because reduction in the wage gap
between higher-wage firms and lower-wage firms caused by an increase in the
minimum wage leads to increases in the elasticity of the labour supply curve to an
employer and consequently, induces employers to pay higher wages, but this effect
declines as one moves up in the wage distribution (Manning, 2003, pp.328-329). A
structural search model, in which Flinn (2002; 2006, p.1021; 2010) assumes wage
bargaining as well as search frictions in the labour market, illustrates that the imposition
of a binding minimum wage constrains matches between employers and workers who
are worth being paid less than the minimum wage, and the constraint produces an
equilibrium wage distribution with a mass point at the minimum wage and continuously
distributed wages above the minimum under the condition that match values are
themselves distributed in succession. Meanwhile, an efficiency wage model developed
by Grossman (1983, p.361) assumes two types of labour, skilled labour which reduces
its effort following a relative wage deterioration and unskilled labour whose effort does
not vary with changes in relative wages, and explains that the spillover effects of the
minimum wage are generated through two channels, the equity effect and the
substitution effect. This is, employers directly raise other wages above the minimum
wage as it increases in order to maintain the effort of skilled labour and the optimal
level of productivity, on the one hand, and they lay off minimum wage workers and hire
more skilled ones, on the other hand (Grossman, 1983, p.366).
Alongside the effects on the distribution of wages, the effects on the distribution of
incomes and on poverty are another chief distributional concern of minimum wage
policy. As shown in Chapter Four, the focus of the research about the effects on the
distribution of incomes and on poverty shifts from individuals’ welfare to families’
economic well-being, but this subject matter has also been theoretically less developed.
The main reason would be that the implication of the effects of the minimum wage on
welfare is concerned not only with distributional effects but also with other issues of
minimum wage policy, including employment effects and the relationship between low-
wage workers and low-income families and between low wages and poverty.
Employment effects have been particularly paid great attention because of their
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expected adverse impacts that would impede the distributional goal of minimum wage
policy. The simple neoclassical model which does not assume market imperfection
explains that minimum wages create distortion that particularly results from negative
employment effects and reduces welfare, and it suggests that the desired distributional
goals would be better achieved by tax-and-transfer system to avoid the distortion
(Gramlich, 1976, p.410; Neumark, Schweitzer, and Wascher, 2005, pp. 867-868;
Neumark and Wascher, 2008, p.142). Models that modify the assumptions of the
neoclassical model imply ambiguous welfare effects based on employment effects.
Flinn (2002; 2006; 2010) uses the value of unemployed search as the welfare criterion
in his structural search model. He argues that positive changes in the distribution of
wages in response to increases in the minimum wage can be misunderstood in disregard
of employment effects, and that neither an absence of employment effects nor
disemployment effects necessarily mean improvement or deterioration in welfare
respectively because changes in the distribution of wages can affect the value of the
unemployed search. Rebitzer and Taylor (1995, pp.253-254) also contend in their wage
efficiency model that a minimum wage can lead to economic well-being by increasing
employment in the long run as well as in the short run but can have ‘a seemingly
perverse positive employment effect’ when the efficiency wage a firm must pay
increases with employment for the reason that increasing a firm’s employment raises the
risk of unemployment for other workers under uncertainty as to product demand. In this
regard, they suggest that the implication of the minimum wage effects on welfare would
be better detected by empirical works rather than theoretical appeals with regard to
employment effects.
Meanwhile, a theoretical attempt which shifts its focus from employment effects to the
effects on the distribution of incomes or on poverty for measuring the effect of the
minimum wage on welfare is rare. Fields & Kanbur (2007) only provided a theoretical
framework based on income-sharing and demonstrated how four factors - the degree of
poverty aversion, the ratio of the minimum wage to the poverty line, the elasticity of
labour demand, and the extent of income-sharing – result in a rise, a fall, and no change
in poverty level. In the succeeding paper, they showed that wage differentiation,
employment in high-wage and low-wage jobs, and the elasticity of labour demand with
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respect to the minimum wage determine the direction of the poverty change (Kapelyuk,
2014, p.8).
Employment Effects
As implied earlier, the effects of the minimum wage on employment have been the most
prominent issue in its policy evaluation, and hence much of the theoretical debate about
the minimum wage centres on this issue. The logic of the neoclassical standard model of
the minimum wage is quite simple with respect to the employment effects. It assumes
that labour and product markets are competitive, the labour covered by the minimum
wage is homogeneous, products are turned out with a combination of capital and labour
of which both are perfectly informed about the labour market, and all workers are
covered by the minimum wage (Neumark and Wascher, 2008). In such a perfectly
competitive labour market, the wage is set by the meeting point of the supply of and the
demand for labour, and the magnitude of employment is determined by the equilibrium
wage. If a minimum wage is fixed at above the equilibrium wage, a firm’s marginal cost
of production is raised, which gives rise to an increase in the price of products, a fall in
the demand for products, and finally a decrease in production. As a result, employers
adjust their businesses by reducing employment, in particular of low-wage workers,
who will be relatively overpaid compared to their contribution to the firms’ revenue
under a minimum wage higher than the equilibrium wage (Card and Krueger, 1995) and
by substituting capital for labour in the production process (Neumark and Wascher,
2008). In this simplified account, the market equilibrium wage is impersonally applied
to all firms, which means that firms do not choose wages paid to their employees,
workers are treated in the same manner as other inputs that employers buy, such as
machinery or electricity, are, and all employers purchase labour as much as they want at
the same market price (Card and Krueger, 1995).
The assumptions that this standard model postulated, however, ruled out many other
aspects of the operation of the labour market and the effect of the minimum wage, and
extended models to remedy shortcomings of the standard model have been developed.
The first question that an extended model addresses is whether all workers are covered
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by the minimum wage. In less developed countries, the coverage of minimum wages is
often limited, and noncompliance is high. The two-sector models explain that the sector
not covered offers alternative opportunities to workers who cannot find the jobs in the
sector covered and thus the aggregate employment losses associated with an increase of
the minimum wage can be alleviated even though employment in the sector covered
decreases (Card and Krueger, 1995; Neumark and Wascher, 2008). Welch (1976) argues
that, with partial minimum wage coverage, jobs in the sector covered are restricted and
labour supply in the sector not covered increases as wages in the sector covered are
bound to above-equilibrium levels. The shift in labour supply could lead to a rise in
employment and a fall in wages in the sector not covered. Welch’s model assumes that
workers not chosen by employers in the sector covered work in the sector not covered if
the wage is higher than their reservation wage. Meanwhile, Gramlich (1976) and Mincer
(1976) presume that workers choose their sector based on the expected earnings in each
sector which refer to ‘wage times probability of having a job’ (Brown, 1988, p.136).
When the expected earnings in the sector covered are higher than wages in the sector
not covered, workers who do not get a job in the former flow into unemployment whilst
they work in the sectors not covered when wages in that sector are higher than the
expected earnings in the sector covered. Thus, in the case that displaced workers remain
unemployed until they can get a job in the sector covered, wage rise caused by an
increase in the minimum wage would not have a significant impact on employment and
wages.
The second question is whether the workers covered by the minimum wage are
homogeneous. An extended model assumes two skill groups, skilled workers and lower
skilled workers. If a minimum wage increases, skilled workers are substituted for lower
skilled workers as the employers’ demand for skilled ones rises; and as a result,
although the overall employment still declines due to the substitution effects of non-
labour inputs for lower skilled workers, the scale of the total drop in employment will
be smaller than the fall in lower skilled workers (Neumark and Wascher, 2008).
However, responding to the fact that the observed distribution of wages is apt to be
relatively continuous rather than discrete, another alternative model assumes that the
distribution of wages reflects the distribution of skills which is formed by different
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amounts of human capital among different workers (Brown, Gilroy, and Kohen, 1982).
In this model, human capital is held together by education, experience, motivation, and
ability, the labour market pays for an ‘efficiency unit’ of human capital, and each
individual is a substitute in production (Card and Krueger, 1995). Under these
assumptions, the presence of the minimum wage indicates a rise in the market price of
human capital and unemployed status of workers with value of marginal product below
the minimum wage, which leads the entire distribution of wages, which has the left tail
truncated at the minimum, to rightward movement (Card and Krueger, 1995). In sum,
this model predicts that the larger the increase in the market price of human capital
induced by the minimum wage is, the smaller the elasticity of demand for human capital
in the labour market is, which brings about reduction in employment among low-wage
workers, and the higher wages for other workers are (Card and Krueger, 1995).
The third issue is that the standard model assumes an economy with only one industry.
Bearing the point in mind, Neumark and Wascher (2008, p.52) argue that extending the
model to include more than one industry with consideration for plausible substitution by
consumers between goods produced in different industries requires to allow for possible
general equilibrium cross-industry effects. If two products produced in separate
industries are substitutable for each other, and a minimum wage raises the cost for one
product more than for the other, the demand for the product which is produced with a
smaller share of minimum wage labour in costs will increase, leading to a growth in the
demand for less skilled workers in the industry producing the substitute (Neumark and
Wascher, 2008, p.52). Neumark and Wascher (2008) cited as an example the possibility
that, with an increase in the minimum wage, the demand for minimum wage labour
could shift from other types of restaurants to the fast food industry when the latter has
the lower cost share of minimum wage labour than the former. They noted that the
prediction of the standard neoclassical model was not made on an industry-by-industry
basis, and thus a failure by researchers to find a negative employment effect in an
industry should not be regarded as inconsistent with the theory (Neumark and Wascher,
2008, p.52).
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The fourth problem is whether the minimum wage has the same effects on employment
and average hours worked per employee. In response to two different findings from
Card and Krueger’s (1995) and Neumark and Wascher’s (2000) studies on the effects of
the New Jersey minimum wage, Michl (2000) proposed an extended model that
distinguished the number of workers and their average working. Although labour input
and employment are often used interchangeably, labour input is the product of
employment and average hours worked per worker (Neumark and Wascher, 2008). In
the extended model, employers could cut back on labour inputs in response to an
increase in the minimum wage, either simply by dismissing workers or by reducing
working hours per employee (Michl, 2000, p.265). Particularly for the latter case, an
employer can hire more workers, in principle, with the margin associated with a
reduction in average hours worked per employee, though the firm’s total demand for
work hours declines (Michl, 2000, p.265). Strobl and Walsh (2008; 2011) further
expanded the model by allowing firms to choose combinations of the number of
workers and hours worked per employee in their production. In this case, the effects of
minimum wages on labour input are ambiguous and differ across firms and industries
because the changes in the two components of labour input, employment and average
hours worked per employee, are inversely related in response to the minimum wage
increase, and firms’ total work hours may even rise if there are small fixed costs for
hiring workers.
The final question is whether short-run and long-run effects of minimum wages on
employment are consistent. An extended model which distinguishes the two effects
claims that short-run and long-run adjustments to a change in the minimum wage are
quite similar because the high turnover among minimum wage workers makes hiring
and firing costs insignificant (Neumark and Wascher, 2008, p.52). Providing the
findings from their case study of fast-food restaurants, Card and Krueger (1995)
contended that a negative employment effect would be expected within a few months
after an increase in the minimum wage because employers hiring minimum wage
workers can adjust their staffing levels flexibly with no large costs of hiring and firing
due to the high turnover rates of workers, but the effect will decrease over time as the
real value of the minimum wage diminishes. However, recognising the possible gap
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between short-term and long-term effects, Hamermesh (1995) argues that ‘sizeable
adjustment costs for capital or other inputs can result in lags in the adjustment of labour’
even if the costs of adjusting labour input are small (Neumark and Wascher, 2008, p.52).
Along the lines of Hamermesh’s argument, Neumark and Wascher (2008, p.53) define
the short-run effects as ‘the change in employment over a period during which the
capital stock is fixed’ and maintain that the decline in less-skilled labour will be
mitigated until firms can substitute capital for less-skilled labour in response to an
increase in the minimum wage.
Despite the theoretical insights the standard model provides and the considerable
modification throughout the extension of the standard model, the most obvious
difficulty with the neoclassical models of the minimum wage is that of explaining the
existence of neutral or even positive employment effects of minimum wages on affected
workers. Allowing for Fang and Gunderson’s (2009) findings shown in Chapter Four, it
is important to build an explanatory basis for neutral or positive employment effects,
particularly for the research that focuses on the impact on older workers. Although the
extended neoclassical models that add some supplementary conditions partially
acknowledge the likelihood of non-negative employment effects, the fundamental
inclination heads for adverse ones. A general feature of the neoclassical competitive
model is the assumption that firms are ‘price-takers in the labour market’ and ‘there is
no firm-specific component of wages’, but this assumption is an oversimplification
(Card and Krueger, 1995, p.369). Another major difficulty with the neoclassical models
is that their explanations are based on arithmetical calculations, which assumes that
employers and workers have all the information needed for their rational decision-
making. For example, provided that workers who do not get a job in the sectors covered
remain unemployed when the wages times probability of having a job in that sector are
higher than the ones in the sectors not covered, it is highly questionable whether all the
workers always make the same choice in practice under a certain combination of
conditions, on the one hand, and whether they are well informed of, at least, the
probability of having a job even if a wage rate is applied to all firms in a certain sector,
on the other hand. Moreover, the neoclassical models do not consider the interaction
between the demand change for low-wage workers and workers’ behavioural responses,
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which result from a rise in the minimum wage. For instance, low-wage workers can
improve their productivity motivated by an increase in the minimum wage, and this
would lead to no demand change for the workers. Also, if required on-the-job-skills are
different between industries, low-wage workers might hesitate to shift from one industry
to another in accordance with the demand change for them in each industry.
As the adverse employment effect predicted by the neoclassical models has not been
firmly supported by empirical studies since Card and Krueger’s (1994) seminal work
was published, and theoretical and empirical debates on the effect of the minimum wage
have been intensely revived, the monopsony model became prominent, paving the way
for positive or neutral employment effects. This model discusses exceptional cases from
the viewpoint of the neoclassical labour market model (Herr, Kazandziska, and
Mahnkopf-Praprotnik, 2009, p.19). In the textbook monopsony model, individual firms
face an upward-sloping labour supply curve which mirrors homogeneous labour and
have some market power over wages to attract more workers. A single firm, a so-called
‘monopsonist’ sets a wage at the level that the marginal cost of labour and the marginal
revenue product of labour are even (Robinson, 1933, recited from Card and Krueger,
1995 and Neumark and Wascher, 2008). The monopsonistic market equilibrium wage is,
however, determined on the labour supply curve being lower than the marginal cost of
labour curve, and thus the gap between the wage and the marginal revenue product of
labour, what Pigou and Hicks referred to as ‘exploitation’ (Manning, 2003, p.49),
occurs. Also, the level of employment that results from the equilibrium wage is lower
than the one in the neoclassical competitive model because the marginal cost of labour
mounts more sharply than the wage as the monopsonist has to pay the higher wage to all
its workers (Ehrenberg and Stewart, 1997; Neumark and Wascher, 2008). Under these
circumstances, all cases of employment effects can be embraced. A minimum wage
fixed between the equilibrium wage and the point where the marginal cost of labour is
equated to the marginal revenue product of labour leads to an increase in employment as
the minimum wage reduces the marginal cost of labour. A minimum set at the point
where the marginal cost of labour curve meets the marginal revenue product of labour
curve has a neutral employment effect, and any further increase beyond the point brings
about a reduction in employment.
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The point that a monopsonist faces an upward-sloping labour supply curve assumes that
the elasticity of labour supply is not perfectly infinite. This assumption is the most key
feature that clearly discriminates the monopsony model from the neoclassical model and
allows each monopsony model demonstrated in different ways. The traditional static
monopsony model postulates a single buyer of labour as an example of the imperfect
elasticity of labour supply. An early labour market example is the ‘company town,’
where a single employer dominates, such as coal mining communities in rural areas
(Ashenfelter, Farber, and Ransom, 2010, p.204). Ulsan city in the southeast part of
South Korea where Hyundai dominates with motor and shipbuilding industries could be
a present example. Under the static framework, some empirical studies validated the
assumption in several specialised labour markets, such as nurses (Sullivan, 1989;
Staiger, Spetz and Phibbs, 2010) and school teachers (Landon and Baird, 1971; Falch,
2010). However, neither is the company town common in the present labour market nor
is there any evidence of the limited elasticity of labour supply in low paid jobs. In this
regard, the traditional static monopsony model is regarded as just an intellectual
curiosity, not being relevant, particularly in the low-wage labour market. Critics of the
model suppose that the elasticity of labour supply to a certain firm is nearly infinite
unless the firm actually employs a considerable proportion of the total potential
workers, which belief is derived from the sphere of industrial organisation, where a
certain employer’s market power is reckoned to be correlated with the employer’s
market share (Card and Krueger, 1995, p.373). But, in the low-wage labour market, the
employers are normally considered as small firms which monopsonistic power is often
insignificant.
Making it more plausible in an industry with a large proportion of small firms, the
dynamic monopsony model, which was formulated by Burdett and Mortensen (1989)3
and advanced by Manning (2003), attributes the limited elasticity of labour supply to
search-related frictions in the labour market. The dynamic model assumes that, due to
the job search frictions, workers have imperfect information about the wages provided
by employers, and firms have monopsony power on wages even against many
competitors (Ashenfelter, Farber and Ransom, 2010). The basic idea of the dynamic
model is that the firm sets a wage at which the number of new hires balances the
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number of turnovers (Card and Krueger, 1995), and thus the firm’s employment
corresponds to an equilibrium between the flow of workers in and those out of the firm
(Ashenfelter, Farber and Ransom, 2010). In this so-called general equilibrium model of
oligopsony, a binding minimum wage increase can lead to employment gains,
particularly at smaller, low-wage firms, by reducing turnovers and raising hires (Card
and Krueger, 1995, pp.380-381). This is possible not only because the minimum wage
increases the odds that some workers will be provided a wage offer higher than their
reservation wage, but also because it leads firms already paying above the minimum to
give their wage offer a raise as well (Neumark and Wascher, 2008, p.56). Card and
Krueger’s (1994) analysis of the effect of the New Jersey minimum wage on fast-food
restaurants provides empirical evidence, finding that employment increased among
restaurants initially paying the lowest wages and was stable among restaurants already
paying more than the new minimum wage.
Apart from the static and dynamic monopsony models driven by the assumption that
firms can attract and maintain more workers by paying a higher wage (Card and
Krueger, 1995), Rebitzer and Taylor (1995) developed an efficiency wage model in
which employers economise on monitoring costs by paying above-equilibrium wages
(Boal and Ransom, 1997, p.95). This model assumes that workers have some discretion
over the level of effort on the job, and firms can pay a higher wage to induce greater
effort of employees and threaten to fire employees who shirk (Card and Krueger, 1995;
Neumark and Wascher, 2008). Firms need to monitor employees’ efforts, but an
employer’s monitoring ability is supposed to decrease as a firm’s size is increased. If a
firm increases employment, it must raise wages to discourage shirking in lieu of its
weakened ability to monitor. This brings about an upward-sloping labour supply in the
long run (Boal and Ransom, 1997), and leads the marginal cost of labour to be higher
than the offered wage. Under these circumstances, imposing a binding minimum wage
slightly above the equilibrium wage induces firms to put less resources for monitoring
work effort and increase their level of employment instead (Neumark and Wascher,
2008, p.55). An implication of the efficiency wage model is that employers who are
concerned about low-wage workers’ shirking on the job will not offer subminimum
wages because workers being paid a subminimum would choose the desire to shirk on
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the job rather than the value of keeping the job (Card and Krueger, 1995, p.382; 2000,
p.342) whereas those being paid over the subminimum would be concerned about losing
their jobs.
Empirical studies show that monopsonistic behaviour is found across the considerable
number of employers in a variety of countries and labour markets even though it is not
universal. With reference to the effects of the minimum wage, monopsony models have
critical implications by opening a door for theoretical underpinning of non-negative
employment effects. In addition, equity issues are always considered in the background
in the monopsony literature because the wage is regarded as an important factor of
economic welfare, specifically for low-wage workers (Boal and Ransom, 1997, p.87).
However, it may be asked whether the model can provide a universal explanation for the
employment effect of the minimum wage, regardless of the level of analysis.
Monopsony models before the general equilibrium model of oligopsony fundamentally
rely on firm-based modelling. It is obvious that a single result from a monopsonist
cannot be generalised in the labour market. Even in general equilibrium models, a
related problem remains. Noting that general equilibrium models distinguish between
the elasticity of labour supply to the labour market as a whole and to individual firms in
as much as the former determines an aggregate employment effect of the minimum
wage while the latter determines the gap between the marginal product of labour and the
wage, Manning (2003) argues that any measure of the impact on aggregate employment
must take firms’ heterogeneity into account because individual firms would otherwise
choose different wages and thus will have different employment effects in the
imposition of the minimum wage. But, most of the monopsony models, including the
general equilibrium models, do not incorporate heterogeneity in workers’ productivity
which would be a key factor to give an account of a firm’s heterogeneity, particularly in
terms of the level of employment. If all workers are assumed not to be equally
productive, monopsonistic firms with more productive employees than their competitors
can be supposed, for example. Faced with the imposition of a binding minimum wage,
those firms might not raise employment even if there is still a gap between the marginal
product of labour and the minimum wage. The firms, facing a minimum wage slightly
above the monopsonistic equilibrium wage, could even discharge some employees with
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relatively less productivity in the hope that the rest of employees would improve their
productivity motivated by the increase in the minimum wage. However, the monopsony
models do not explain what the institutional forces are at play in practice or what the
role of wages is in the production process (Edwards and Gilman, 1999). Although the
latter is the focus of the efficiency wage model, higher wages as ‘a substitute for the
costs of supervision’ are criticised as unlikely and implausible (Edwards and Gilman,
1999, p.23). This is, ‘employees will avoid their duties if they can, and employers thus
face costs of supervision’ (Edwards and Gilman, 1998, p.9), regardless of the wage
level.
Economic Effects of Minimum Wages in the Keynesian Paradigm
Distribution Effects
Critical of the absence of a macroeconomic approach in the theoretical debate which has
been led mostly by the neoclassical view (Herr, Kazandziska and Mahnkopf-Praprotnik,
2009, p.5), the Keynesian model explains the effects of minimum wages in the context
of the interaction between the labour market and the national economy. The Keynesian
approach which was first advanced in the 1930s is set against a claim for market self-
regulation and instead focuses on systemic market failure to be resolved by government
intervention. The neoclassical approach recognizes the odds of market failure but
defines the failure as a bad fit between production and the wants of individuals with
purchasing power, which does not occur in an aggregate manner (Caporaso and Levine,
1992). By contrast, the Keynesian approach argues that the market mechanism
systemically fails to assure adequate purchasing power and underutilise the existing
productive capacity, and this aggregate demand failure results from the instability of the
process of reproduction and growth in a capitalist economy (Caporaso and Levine,
1992, p.100). The source of the instability is the self-reinforcing or cumulative nature of
the processes that the movements of output, investment, employment, and prices are
involved in ‘a leakage from the economic circular flow’ which does not stimulate any
comparable demand (Caporaso and Levine, 1992, p.103, p.118). The systemic failure of
aggregate demand requires government intervention, but a key point here is that the
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intervention should adopt ‘administrative ways rather than political means’ (Caporaso
and Levine, 1992, p.101), and the government develops a stabilization policy that
affects the economic circular flow, typically using government spending and taxes, to
secure the macroeconomic conditions needed (Caporaso and Levine, 1992, pp.119-121).
According to the Keynesian explanation of the minimum wage effects which was
explored by Herr, Kazandziska, and Mahnkopf-Praprotnik (2009) and Herr and
Kazandziska (2011), minimum wages can perform two important roles in the Keynesian
paradigm, preventing deflationary developments, especially in a period of economic
crisis and weak union power, and changing the wage structure among wage earners. In a
closed economy, changes in profit rates, prices of natural resources, and taxes may
affect changes in the price level, but none of them can solely give rise to an inflationary
or deflationary process (Herr, Kazandziska, and Mahnkopf-Praprotnik, 2009, p.7). By
contrast, changes in the wage-price spiral can bring about those processes by itself, and
in this regard, nominal wages can be regarded as the nominal anchor which is a
precondition for the functioning of capitalist economies (Herr, Kazandziska, and
Mahnkopf-Praprotnik, 2009, pp.7-8). That is, when nominal wages increase by the wage
norm which refers to following the medium-term trend of productivity changes and the
inflation target of the central bank, they become the nominal anchor for the price level
and prevent deflation (Herr, 2002; Herr and Kazandziska, 2011). In the same vein,
minimum wage increases attuned to the wage norm support or become a nominal wage
anchor and avert a wage-price deflationary spiral by keeping down the erosion of
nominal wages (Herr, Kazandziska, and Mahnkopf-Praprotnik, 2009, p.8; Herr and
Kazandziska, 2011, pp.4-5). To achieve this goal, the Keynesian theory recommends
that the minimum wage should be adjusted annually with a rate high enough to give
benefits to the lowest wages and also affect a sufficient number of employees (Herr and
Kazandziska, 2011, p.5; Ghani, 2016, p.2).
In the Keynesian approach, changes in nominal wages cannot fundamentally change the
distribution of national income between wages and profits because wages affect the
price level (Herr, 2009, p.952). However, minimum wages have distributional effects
among wage earners (Herr, Kazandziska and Mahnkopf-Praprotnik, 2009, p.10). If all
wages change by the wage norm, the wage structure will not change, in which there is
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no improvement in real income among low-wage workers. But, if minimum wages
increase faster than the average wage, the wage structure will be compressed from the
bottom, which increases real income and purchasing power among the low paid and
enhances the potential of minimum wage policy for combating poverty (Herr and
Kazandziska, 2011, p.5). In another case where minimum wages increase attuned to the
wage norm but the average wage level is raised higher than the wage norm, wage
dispersion will deepen, and hence increasing minimum wages based on the average
wage level is required (Herr and Kazandziska, 2011, p.5).
Employment Effects
Herr, Kazandziska, and Mahnkopf-Praprotnik (2009; 2011) argue that the minimum
wage does not have any systematic employment effects, and they remain theoretically
open in the Keynesian paradigm (Ghani, 2016, p.2). Changes in the wage level are
assumed to lead to changes in prices but not to directly induce changes in employment
in this approach (Herr, Kazandziska, and Mahnkopf-Praprotnik, 2009, p.9; Herr and
Kazandziska, 2011, p.3). The new structure of prices altered by an increase in the
minimum wage will change not only the technology and the structure of production but
also the structure of demand (Herr and Kazandziska, 2011, p.6). Higher minimum
wages may raise the level of consumption particularly because low-income households
show a higher propensity to consume compared to high-income households, which will
lead to a positive impact on aggregate demand, output, and employment (Herr and
Kazandziska, 2011, p.6). However, in some industries, such as security or cleaning,
increases in wages may refer to increases in price that leads to decrease in demand and
employment (Herr and Kazandziska, 2011, p.6). But, even in this case, those who
remain employed can consume more with higher income, and also, as products in one
industry can be inputs in another, the chain reaction of changes in prices will be
provoked with an obscure outcome in employment on a macroeconomic level (Herr and
Kazandziska, 2011, p.6).
With regard to the effects of the minimum wage, the Keynesian’s main concern is
whether the policy helps to stablize aggregate demand by enhancing purchasing power
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among low-income households and to prevent deflationary development. A prerequisite
for this goal is that minimum wages should increase at least in line with the medium-
term productivity changes and the inflation target of the central bank. Increases faster
than the average wage level will bring about a compression of wage structure from the
bottom and a reduction in poverty. The Keynesian approach has little interest in the
mechanism whereby the minimum wage influences individuals. In this vein, it addresses
only three cases where the distribution of wages is differently adjusted in response to
the increase in the minimum wage and does not elaborate the theoretical relationship
between changes in wages and changes in employment. This makes it difficult to
understand a variety of effects of the minimum wage found in empirical studies. Further
to this, the Keynesian approach stresses only administrative intervention and disregards
the point that a minimum wage rate is essentially set through a political process,
although it takes several cases into account with regard to the level of the minimum
wage.
The Political Economy of Minimum Wages
What Makes Some Support and Others Oppose the Minimum Wage?
Both the neoclassical view and the Keynesian approach discussed so far rule out the
political nature of the minimum wage from their explanations. But, the minimum wage
as a public policy is a collective process, and its outcomes are shaped by both ‘the
domain of politics and the domain of markets as two sides of the same coin’ (Bickers
and Williams, 2001, p.x). Hence, its effects should be explained allowing for both
domains. This leads us to seek a political economy perspective for a more plausible,
real-world account of the effects of minimum wages. The existing theoretical
explorations underlying the political economy of minimum wages, however, focus
mainly on questions about what other reasons than economic ones make some support
and others oppose minimum wages, rather than on questions about how minimum
wages affect workers. These rely on voter behaviour or trade unions and are mostly set
in the US context.
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West (1974) argues that the success of proposed legislation, including the minimum
wage, depends on the median voter group because politicians pay attention mainly to
the group’s preferences, but the group does not match up with those who are affected by
the minimum wage. The median voter group is not homogenous in terms of the
minimum wage. While some individuals, particularly who are affiliated to trade unions,
may be in favour of the legislation because their bargaining power will increase, the
majority in the median group are those whose real incomes may decrease with the
adverse price effects and small employers who are not typically wealthy businessmen
(West, 1974, pp.134-135). Some of the non-union median voters may have altruistic
virtue besides self-interest, based on the informed effects of the minimum wage (West,
1974, p.134). In this regard, West (1974) suggests in his theoretical model that the
probability of support for minimum wages is determined by the voting significance of
the group affected by the minimum wage, the proportion of non-union individuals and
small business employers, effects of the minimum wage on the median voter group, the
extent to which sub-groups in the median voting group are politically organised, and the
degree to which voters perceive the adverse effect of the minimum wage (West, 1974,
p.135).
More recently, Adam and Moutos (2011) constructed a political economy model to
show political support of median voters for the minimum wage in the context of
whether they would agree to replace the existing minimum wage with wage subsidies.
Their model assumes that there are a fixed number of households and many perfectly
competitive firms, and the majority of households earns income only from labour
(Adam and Moutos, 2011, p.171). This implies that most voters are workers whose
income is derived from the sale of their labour or from unemployment benefits, and the
imposition of a minimum wage will reduce employment but increase aggregate wage
income and the income of those who remain employment (Adam and Moutos, 2011,
p.172). Adam and Moutos (2011) predict that, if the fiscal cost of wage subsidies are
covered on by the increase in the wage income tax, median voters would not support the
replacement of minimum wage with wage subsidies, but, if the cost is paid by firms
through higher profit tax rates, wage subsidies can get broad political support from the
median voter (Adam and Moutos, 2011, p.173).
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Meanwhile, attempting to recast the argument on support for the minimum wage,
Waltman (2000) argues that the reason why widespread public support for the minimum
wage does not lead to the American electorate’s support for its legislation is lack of
mobilisation which results not only from the fact that minimum wage workers, mostly
young, less educated, and poor, have a strong tendency not to vote and are unlikely to
maintain their political will for their own economic interests, but also from the fact that
there is the disparity between proponents’ scientific knowledge-based approach and
morals and ethics-based perception of the minimum wage among the public and the
potential mobilisers, such as politicians and trade unions. Waltman (2000, p.142)
suggests that minimum wage advocates need to recast the debate away from an
individualistic framework ‘toward a common good of society ’ as emphasised in ‘the
progressive era rhetoric of civic republicanism’ (Prasch, 2001, p.356) .
Compared with those who build their arguments upon voters’ behaviour, some social
scientists hypothesize that minimum wage policy has been driven by the pressure of
organised constituent groups that support or oppose the minimum wage in their own
interest (Neumark and Wascher, 2008, p.253). Trade unions are regarded as one group
able to organise a large bloc of voters in favour of the minimum wage because it gives
the incentive of rises in demand for higher skilled unionised workers to unions
representing workers in higher-wage industries (Neumark and Wascher, 2008, p.253) as
well as the incentive of increases in wages to unions representing those in low-wage
industries and also reduces competition in low-wage industries (Simons, 1944, pp.10-
11). Assessing the potential constituent groups in terms of the relative size of each and
the significance of minimum wage laws in their voting decision, Keech (1977) argues
that three important points enable the minimum wage politically viable. First,
individuals who benefit from an increase in the minimum wage are likely to consider
the minimum wage more heavily in their voting decision than those who do not (Keech,
1977, p.136). Second, unlike West’s (1974) argument presented earlier, the perception
of the adverse effect of the minimum wage would have little influence on most voting
decision. Third, workers who are paid slightly above the minimum wage, support the
increase in the minimum wage to reduce competition from lower wage counterparts,
and are represented by trade unions would have the greatest organisational power.
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Cox and Oaxaca (1982) provide a more stylised theoretical model to predict the support
or opposition of the minimum wage among competing interest groups in the context of
an equilibrium model which assumes the unionised sector uses skilled labour and
capital as inputs while the non-unionised sector uses unskilled labour, skilled labour,
and capital as inputs (Neumark and Wascher, 2008, p.254). In this model, an increase in
the minimum wage raises wage costs in the non-unionised sector, which leads to
increases in the price of their products and the substitution of products produced in the
unionised sector for ones produced in the non-unionised sector. This product market
substitution drives an increase in the demand for union labour and its employment (Cox
and Oaxaca, 1982, p.552), and hence, trade unions have an incentive to support the
minimum wage for their own self-interest (Neumark and Wascher, 2008, p.254). By
contrast, an increase in the minimum wage reduces the real rental rate of capital and
harms the economic self- interest of capitalist, though the economic self-interest of
capital is not necessarily the same with the interest of corporation executives in the
minimum wage legislation (Cox and Oaxaca, 1982, p.542). Cox and Oaxaca’s
explanations are based on the assumption that politicians use their vote for maximising
utility of re-election and it ‘depends on the relative importance in the political
marketplace of competing interest groups’ (Cox and Oaxaca, 1982, p.552).
Meanwhile, Hayes (2007) identifies the minimum wage as a redistributive policy with
three different patterns of politics according to whether interest groups are organised or
not. The first pattern refers to the case that the issue of the minimum wage lies dormant
because low-wage workers, the primary beneficiaries of the minimum wage, fail to
organise themselves and thus effective demand for an increase in the minimum wage is
hard to be formed whereas there is constant, intense opposition to an increase in the
minimum wage from business groups. This case is particularly harmful to low-wage
workers ‘because the wage has never been indexed against inflation’ and thus ‘the real
value of the minimum wage declines’ (Hayes, 2007, p.469). The second pattern is the
case that the minimum wage issue constitutes ‘the ongoing struggle between labour and
business over shares of national income’ as trade unions take up the issue even if
beneficiaries fail to mobilise (Hayes, 2007, p.470). In this pattern of politics, a relative
power of labour and business is correlated with the magnitude and frequency of the
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minimum wage increase4. The third pattern is the case that, along with the decline in
trade unions, proponents of the minimum wage increase take a new strategy, such as ‘a
combination of tax breaks and subsidies to business’ to offset the increase in wage costs
(Hayes, 2007, p.471). In this case, an increase in the minimum wage shifts the cost from
employers to taxpayers and consumers rather than redistributes income from employers
to low-wage workers.
The Level of the Minimum Wage and its Fixing Process
A different political economy explanation relating to the minimum wage has been
addressed by Brown (2009). Paying attention to the importance of the minimum wage
fixing process with regard to the level of the minimum wage, Brown (2009) analysed
the shifting internal dynamics of the Low Pay Commission and its negotiations over the
level of the minimum wage in the British context. He argued that confrontation between
Commissioners with diverse backgrounds was unavoidable on the issue of the level of
the minimum wage but the position of the Commissioners were complex, which led to
the negotiation ‘in a pluralist way’ (Brown, 2009, p.441). Within the Commissioners’
group with a trade union background, there were different interests relating to increases
in the minimum wage by sector, and the Commissioners’ group with a business
background also differed by firm size. Despite the ambivalent interests within each
group, the union Commissioners were consistent in the upward direction of their
influence ‘with the strong egalitarian ethos’ while the employer Commissioners were in
the downward direction of ‘their influence as one of restraint on the union
Commissioner’ (Brown, 2009, p.442).
The existing theoretical explanations of the minimum wage from the political economy
perspective give limited insight into how political power shape the effects of the
minimum wage on workers. Most of the political economy approaches in common sees
government as an interest group in pursuit of re-election, and this results in confining
the role of the state in the policy process to a ‘casting voter’ who makes a decision
based on a refined calculation of which group would be more helpful for their re-
election between employers and employees. Further, policy typology-based
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explanations tend to be derived from Lowi’s early premise that ‘policies determine
politics’ (Lowi, 1972, p.299, see Lowi 1964, p.688), from which Lowi (1988, p.726)
later stepped back by acknowledging both directions of causal relationship between
policy and politics. This may lead to an explanatory vacuum of policy outcomes
produced or reproduced by the political process and overlook the changing nature of
policy outcomes which brings about variations in the effects of the policy. Unlike other
strands of the political economy explanations, Brown (2009) paid attention to the
importance of the minimum wage fixing process with regard to the level of the
minimum wage. However, he did not propose an explanation of the relationship
between the fixing process and minimum wage effects.
A Proposed Political Economy Framework for Understanding the Effects of
Minimum Wages
The above discussion of the existing theoretical accounts of the minimum wage tells us
that the mainstream economic theory provides predictions about changes in wages,
income, employment, and price, based on the view that the introduction or uprating of
the minimum wage is a ‘disruption to the normal labour market’ and the assumption that
employers and employees are rational actors who respond to the disruption towards
minimising losses and maximising gains. The modified models and the alternative
economic theory relax the view of the minimum wage as a disruption. However, they
keep leaning on the assumption of rational individuals in the labour market. Since
economic theories of the minimum wage, especially ones grounded in the neoclassical
paradigm, explain the fundamental mechanisms of how agents in the labour market
behave in response to the external stimulus, they are obviously indispensable for
exploring the effects of the minimum wage. But, as mentioned earlier, the predictions of
the mainstream economic theory are not supported by many empirical studies, and some
of the findings, including Fang and Gunderson’s (2009) presented in Chapter Four, are
not clearly understood even by modified models or alternative economic theory.
Accordingly, two significant questions may arise. One is whether individuals behave
rationally in the labour market, and the other is whether the effects of minimum wages
can be explained as the outcome of those repeated actions. The inconsistency between
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theoretical predictions and empirical findings implies that agents in the labour market
might not repeat their actions when facing similar situations and that the effects of
minimum wages may be contextualised by reflective behaviours. Whether individuals
repeat rational actions in a similar labour market situation is not a focus of concern in
this thesis, which would be a merited question for the field of economics, in particular
for behavioural economics or labour economics. What this thesis pays attention to as
regards the questions and implications being addressed above is the potential of
observable reflective behaviours which may allow better understanding of the minimum
wage effects. At this point, it should be noted that the minimum wage is a public policy
produced through the political process. A set of policy outputs resulted from
stakeholders’ reflective actions in the minimum wage policy process would
contextualise the effects of the policy, in as much as they embrace a variety of intents
formed by debates and decisions in the process. In this regard, this section seeks a
theoretical framework which would complement the explanatory vacuum of existing
theories with a lens of putting more weight on the policy process behind the minimum
wage.
Minimum wage policy can be a political arena of keen power competition among the
key stakeholders in as much as it is involved not only in regulating the behaviour of
employers (Hayes, 2007, p.467) but also in redistributing profits from employers to
employees (Levin-Waldman, 2011). This suggests that, bearing on minimum wage
policy, power is neither equally distributed nor unchangeably structured among the key
stakeholders, and its dynamics dominate the policy process. The dynamics of power in
terms of the minimum wage rely on the extent to which each stakeholder, in particular
employees, can be collectively organised and mobilised for or against the minimum
wage (Eyraud and Saget, 2005; Hayes, 2007; Neumark and Wascher, 2008). Labour
unions enable employees to have the force to make their voice heard more effectively
and form a pivotal authority for obtaining favourable outcomes. However, the union
density of low-wage workers is typically very low, and they are seldom collectively
organised not only because they are directly and indirectly pressured by their employers
into not joining trade unions, but also because they are often physically scattered by
their workplaces (Hayes, 2007). Besides, some of trade unions speak for higher-skilled
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workers with higher pay (Simons, 1944; Kau and Rubin, 1978), and this possibly leads
them to be indifferent to or even to oppose the minimum wage in their members’ own
self-interest. But it has long been recognised that labour unions representing higher-
skilled workers have an incentive to support the minimum wage because it may increase
labour demand for higher-skilled unionised workers (Neumark and Wascher, 2008) or
play the role of a wage floor to boost overall wage levels. In this regard, labour unions
typically spend a significant amount of time and resources on campaigning and
lobbying for minimum wage increases. They call for favourable public opinions and try
to have prominent political leaders on their side in order to get greater leverage for an
increase in the minimum wage.
Business groups have been effectively organised throughout the history of the minimum
wage (Levin-Waldman, 2001; Waltman, 2000, cited from Hayes, 2007, p.473). They
exert influence on the policy process, primarily using their instrumental power, ‘which
stems from political resources, such as informal ties to politicians and bureaucrats,
appointment or election to government office,’ including finance ministers or central
bank heads, and ‘core constituency relationship with political parties’ as well as from
‘organisation, money, technical expertise, and media access, all of which place business
in a stronger position to lobby, orchestrate collective action, command authority in
policy debates, finance campaign, and/or shape public opinion’ (Fairfield, 2015, p.420).
However, business interests in terms of the minimum wage can differ by the size of a
firm. Small businesses routinely oppose an increase in the minimum wage because they
typically hire more unskilled labour and thus are likely to be more directly affected by
the increase, whereas the position of big firms, of which many are only marginally
affected by an increase in the minimum wage, is theoretically ambiguous since they
may oppose higher minimum wages in order to have more leverage in wage bargaining
but could support higher minimum wages to ‘eliminate lower-cost rivals (Rustici, 1985,
p.120)’ (Dickson and Myatt, 2002, p.60; Neumark and Wascher, 2008). There is also a
gap in resources and organisational cohesion for political influence between small and
big business groups. Big business organisations can exert strong influence for their own
self-interests in the policy process, utilising the ample resources described above and
insignificant free-rider problems. By contrast, small firms’ associations ‘are a diffuse
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group with free-rider problems’ (Dickson and Myatt, 2002, p.60) and may not have
sufficient resources to lobby effectively, organise collective action, dominate policy
debates, finance campaign, and shape public opinion, but ‘echo(ing) the free market
editorial writers’ (Waltman, 2008, p.27). In this regard, they often devote their efforts to
minimising an increase in the minimum wage rather than to blocking any increase in
and of itself (Waltman, 2008). These potential differences in interests and resources
between small and big businesses may create variations in the intensity of business
opposition as a whole to (or possibly support for) the minimum wage. Nonetheless,
‘business interests remained and remain adamantly and resolutely opposed to the whole
idea of a minimum wage’ (Waltman, 2008, p.3) because it interferes with ‘a basic
business decision (Waltman, 2008, p.3) and ‘their entrepreneurial liberty’ (Levin-
Waldman, 2001, p.105) and ‘legitimates governmental regulation in general’ (Waltman,
2008, p.3). ‘Much of the intensity of business opposition centres around the law’s
intrusion into the private relationship between employers and employees’ (Hayes, 2007,
p.467).
Government is also a key stakeholder of the minimum wage not only because it is the
final decision-maker and implementer of the policy, but also because it has its own
‘comprehensive interest’ in the policy, which is associated with a regime’s policy
orientation as well as its pursuit of political supports from the electorate. The capacity to
be organised rarely matters for a government, in as much as it is an organised entity
with power anchored in representative democracy and/or bureaucratic authority.
However, when a government deals with an issue, the low degree of coherence among
the relevant government departments may weaken its organisational power. When it
comes to government power as regards the minimum wage, a government’s
comprehensive interest to pursue both its own ideological orientation towards policies
and political support from the electorate for its re-election is critical. A regime’s policy
orientation is closely connected to its political interest in preserving the regime, but they
are often at odds with each other in practice. The extent and intensity of power that a
government exerts on a policy issue depend mainly on the interaction with other forces
which would have a strong influence on its policy orientation to be sustained or
obstructed. Public opinion and structural power are critical forces as regards minimum
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wage policy.
Public opinion influences government decisions regarding a policy when an idea is
widely shared by the general public, and the support for the idea intensively converges
enough to mobilise extensive civic groups and/or to attract a key enabler, such as a
powerful political leader. The minimum wage tends to be widely supported by the
general public with moral sympathy and anticipation that it would do little harm to their
working life (Waltman, 2000). But it rarely comes up as a leading political agenda item
because the issue is not of direct interest to the majority of society and thus seldom
draws the mobilised political participation of civic society and/or strong support from
those with political leverage. Weakened trade unions and/or tepid support from the
unions representing more skilled workers would not be able to promote the mobilisation
of public opinion in favour of the minimum wage. Further, corporatist institutions
between labour, business, and government, which are adopted in many countries for
minimum wage fixing procedures as seen in Chapter Two, tend to deter the minimum
wage from being brought into the public political agenda by giving an impression that
‘government limits the power of business’ (Hill, 2009, p.56) and ‘depoliticising the
issue’ (Hill, 2009, p.59).
By comparison, structural power is a potent force that forms the base of the economic
power of business by coordinating the market in the capitalist economy. It constantly
influences government’s comprehensive interest regarding policies, including the
minimum wage. As Block (1992, quoted in Hundt, 2009, pp.23-24) defined, structural
power refers to the ability of business to prevent changes that conflict with the broad
interests of capital by threatening to withdraw their resources from the economy and
‘arises from the fact that, in market societies, states depend on private-sector agents to
invest in ways that generate growth, employment, and prosperity’ (Fairfield, 2015,
p.413). This is a specific variety of power that business is endowed with but differs from
the power that business holds as organisations, in as much as, unlike the organisational
power of business, the threat from structural power is ‘implicit … Government
anticipates the interests and reaction of capital without the need for interest group
representations’ (Marsh,1983, p.4, quoted in Hundt, 2009, p.23). However, structural
power can enhance the organisational power of business by facilitating government
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and/or policymakers to embrace what business organisations demand, and at the same
time, organisational power also can strengthen structural power by reinforcing the
concerns of government and/or the general public on investment using its plentiful and
powerful resources (Fairfield, 2015). This suggests that the economic power of business
which is founded on both structural power and organisational power operates as a form
of political hegemony (Gramsci, 1971). The extent to which government policy
decisions are influenced by the economic power of business relies mainly on the extent
to which government policy orientation is market-oriented, the extent to which the
majority of voters supporting the government prefers pro-market interventions, and the
extent to which economic conditions and outlook a government faces afford to cope
with predictable and unpredictable risks that arise from the changes in policies. In terms
of the minimum wage issue, a government tends to stick to its own policy orientation
which enables it to maintain its foundation of political support unless radical changes in
macroeconomic conditions or a powerful mobilisation of public opinion against the
policy orientation occur. This has an important implication for the characteristics of
policy change as regards the minimum wage, which will be discussed in connection
with regime change below.
The facts that government is structurally in an intermediate position between labour and
business and that it is ‘not a neutral agent’ (Hill, 2009, p.40) but one with its own
interests, suggest that government plays a decisive role in the dynamics of power as
regards the minimum wage. In accordance with its policy orientation, a government can
reduce the potential prior imbalance of power between labour and business, give more
weight to one of the two conflicting power in an active or passive way, or remain a
spectator. These actions may not be consistent through all the years in office and/or all
the stages of the policy process at a certain time. For example, a government might
revise its position whenever a new minimum wage rate is fixed within its years in office
and/or could take a stance to balance labour and business in the stage of agenda setting
and policy formulation, take any sides in the stage of decision-making so as to pursue
their own interests, and remain a spectator in the stage of implementation in order to
offset risks from a policy decision. Different government actions lead to a variety of
power dynamics in the policy process and different types of equilibrium of power
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among the key stakeholders of minimum wage policy, such as explicit consensus, tacit
consensus, influence, and domination.
The dynamic of power, which results in forming an equilibrium among the key
stakeholders at a particular time and stage of the policy process, assigns implicit
purposes and characteristics to the policy by producing a set of policy outputs.
Regardless of its legislative purpose and redistributive trait, a minimum wage has a tacit
aim and intent as a consequence of policy outputs. A typical example is that the
minimum wage is covertly characterised as symbolic when a rate is fixed at a much
lower level to achieve its original, explicit goal and/or when compliance with the law is
not properly supervised. This could be a case that the equilibrium of power is formed as
domination by business or implicit consensus between business and government at the
stage of decision-making and /or at the stage of implementation in the condition that
labour power and public opinion are weak, government policy orientation is more in
line with business interest, and/or government actions are strongly influenced by
structural power. However, this does not mean that a particular set of implicit purposes
and characteristics of a minimum wage are matched to a certain combination of
government actions and a form of equilibrium of power in the policy process. If a
minimum wage rate is fixed at a certain level for a specific objective, the minimum
wage comes to have an implicit purpose, for instance, an increase in employment of the
overall population or a part of it. In this case, government actions and the equilibrium of
power may take the same configurational forms with the case of the minimum wage
with implicitly symbolic characteristics. Changes in the implicit purposes and
characteristics of a minimum wage can be detected by the discourse created in the
course that a dynamic of power produces a set of policy outputs because a variety of
intents as regards the minimum wage are included in and excluded from the policy
outputs through debates and decisions in the process.
The implicit purposes and characteristics of the minimum wage shape its actual effects
because they provide a concrete direction toward which minimum wage policy works.
Unlike the legislative purpose of the minimum wage, the implicit one caught by the
discourse through its policy process is likely to be produced bearing more on a specific
issue addressed with more urgent and controversial concern at a particular point of time.
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For instance, if a subminimum-related issue is discussed in the light of concern about
the employment level of a certain group of workers which is largely composed of
minimum wage workers, a sub-rate for the group may be explicitly introduced, or a
minimum wage rate for all could be newly fixed, taking into account the wage level that
would not make an adverse employment effect, particularly for the target group. In this
case, the minimum wage is intended as an employment policy rather than a wage policy,
at least for the group of workers concerned, and this becomes an explanatory basis of
minimum wage effects for the group, such as no negative employment effects but
insignificant increases in wages and in family income. Furthermore, when the implicit
purposes and characteristics of a minimum wage include explicit concern about a
particular group of workers, they can be reinforced by cultural prejudice against the
members of the group and their internalisation of it, which drives the intended purpose
more explicitly presented as an effect of the minimum wage. The aim of no employment
effect for a certain age group of workers, such as the young or older workers, would be
an example. Those workers who are typically disadvantaged in the labour market might
actively accept a lower wage than the minimum wage and/or oppose an increase in the
minimum wage in order to stay in employment. In the same context, they could favour
an age-differentiated subminimum. Such attitudes and responses to the prejudice and
disadvantaged practice in the labour market are likely to strengthen a tacit purpose of
the policy to stress the employment level for the targeted age group, regardless of the
general legislative purpose of the policy to improve wage and income levels for the
vulnerable. This would result in neither adverse employment effects nor increases in
wage and income for the group concerned.
A series of changes in what are involved in policy change of the minimum wage
discussed so far can come about at any time and/or any stage of the policy process in
principle. But, the tendency of government to stick to its own policy orientation under
neither radical change in macroeconomic conditions nor a powerful mobilisation of
public opinion against the policy orientation implies two points. One is that minimum
wage policy tends to be ‘punctuated by rare episodes of radical change’ (Pollitt and
Bouckaert, 2009, p.168) in practice, which assumes ‘a sharp distinction between long
periods of institutional stasis periodically interrupted by some sort of exogenous shock’
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(Streeck and Thelen, 2005, p.1). The other is that government change would be the most
regularly observable shock to minimum wage policy. As long as there is no
socioeconomic shock which influences minimum wage policy, government policy
orientation becomes the key to determine a particular direction of government actions
and to shift an established equilibrium of power, which results in a new dynamic of
power among the key stakeholders and leads to the production of distinctive implicit
characteristics of the policy.
In sum, the theoretical framework proposed here argues that the implicit characteristics
of minimum wage policy are produced by a dynamic of power, which results in forming
an equilibrium of power among the key stakeholders at a particular time and stage of the
policy process, and the characteristics, which can be detected by the discourse
constructed through the policy process, shape the effects of the minimum wage.
Furthermore, minimum wage policy is likely to be punctuated mainly by government
change unless a shock in macroeconomic conditions and/or radical mobilisation of
public opinion occurs.
Research Methods
The theoretical discussion in the first part of this chapter has two methodological
implications for this research on the effects of minimum wages. First of all, the main
theoretical point is that the effects of minimum wages are not only produced by
economic mechanisms in the labour market but are also shaped by political
consequences in the policy process. This requires a methodology which allows an
understanding of the effects of minimum wages based on both the economic
mechanisms and the political consequences. However, the way each is involved in the
effects of minimum wages displays an epistemological distinction, which leads to the
mixed use of different types of data and research methods. That is, the economic
mechanisms in the labour market assume an objective reality which can be repeatedly
embodied by general rules regulating the market. Relying on this assumption, the
majority of studies on the effects of minimum wages have taken the stance that an
objective reality can be imperfectly and probabilistically explained by quantifiable data
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and statistical methods. In contrast, the political consequences in the policy process
presume realities that are socially constructed and driven by the context of power
relations governing the process. This presumption suggests that realities can be detected
by a qualitative analysis of text materials and spoken and written discourse data.
The other main point of the theoretical discussions is that minimum wage policy would
rarely have a drastic change without a socioeconomic shock, and government change
would be the most regularly observable episode of radical change to the policy. This
suggests that the effects of minimum wages could be distinctive according to the term of
office of a particular government, and thus designing the research on the effects of
minimum wages by government would give a better sense of the effects. This
suggestion may allow us to explore whether different levels of increases in the
minimum wage have different effects, if the rate of increase in the minimum wage tends
to be kept at a similar level throughout the term of office of a government and is likely
to alter significantly as the policy orientation for the minimum wage shifts with a
change of government. Besides, exploring the question by government tenure and
comparing the results may enable us to check the practical relevance of monopsony
explanation, currently the most prominent account particularly in terms of non-negative
employment effects, and to go over the necessity of seeking a better understanding of
the effects based on the analysis on political consequences in the policy process.
Reflecting the two methodological implications from the theoretical discussion, this
thesis used both quantitative and qualitative methods to examine the effects of the
minimum wage under different governments and political consequences in its policy
process which were expected to shape the effects. Two research questions, how the
minimum wage affects the distributions of wages and family earnings, employment and
exits from in-work poverty among older workers and whether different rates of increases
in the minimum wage have different effects among older workers were examined
through a series of quantitative analyses using a set of secondary data and statistical
methods. The two questions were explored at the same time since two five-year periods
of two consecutive governments which had a big gap in the rate of increase in the
minimum wage were compared in each analysis of each subtopic. Theses quantitative
analyses were performed within the general assumptions of economic mechanisms in
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the labour market. Meanwhile, the third research question, how the empirical results of
the minimum wage effects on older workers can be understood was explored through a
contextual analysis of texts and discourses produced particularly in the minimum wage
fixing process, after a comprehensive understanding of the empirical results from the
quantitative analyses based on economic explanations of the effects of minimum wages.
This qualitative analysis was conducted on the basis of the alternative political economy
framework for the research on the effects of minimum wages proposed earlier in this
chapter. Thus, the method chosen for the analysis followed the logical reasoning of
building the theoretical framework. The reason why the contextual analysis focused on
the minimum wage fixing process rather than embracing its whole policy process was
because this research assumed that comprehensive debates and decisions would be
made mostly in the fixing process and likely to regulate the whole of the minimum
wage policy process.
This research conducted a case study of South Korea on the effects of increases in the
national minimum wage on older workers, comparing two five-year periods of
consecutive Korean governments, ‘the Participatory Government’ under Roh, Moo-
Hyun (2003-2008) and the Lee, Myung-Bak government (2008-2013). Below are
described the specific data and methods used in each of quantitative and qualitative
analyses for this case study. This research did not take a quasi-experimental design in
the quantitative analyses, in which the causal impact of a minimum wage on target
population would be typically estimated by comparing before and after its introduction
or treatment and comparison groups when it increased in a region or a sector. This was
on account of the developmental and institutional peculiarities of the Korean national
minimum wage. As informed in the first section of Chapter Six, the national minimum
wage was introduced in the late 1980s in Korea but became widely known after it began
to be applied to all companies or workplaces with one employee or more in 2000 and as
the number of non-regular workers sharply increased in the mid-2000s influenced by
the International Monetary Fund (IMF)’ bailout programme with the 1998 Korean
financial crisis. This fact implies that the issue of noncompliance with the minimum
wage would be significant at least until the early 2000s. Further, since the Korean
national minimum wage has been implemented all over the country under the same
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conditions since 2000, it is difficult to set up a comparison group for examining the
effects of the minimum wage. Internal validity of the inferential statistical analyses in
this case study was sought by using panel data which contained observations collected
over multiple time periods for the same individuals and also by allowing for regional
difference in the influence of an increase in the minimum wage. In line with the
consideration of those developmental and institutional peculiarities of the Korean
national minimum wage, the two Korean governments were chosen for this research
because the Roh, Moo-Hyun government maintained one of the highest rates of
increases in the minimum wage whereas the Lee, Myung-Bak government had the
lowest rate of increase, and they had contrasting political orientations. The big
difference in the rate of increase in the minimum wage and in political orientation
between the two governments was an ideal condition to embody the assumption of
government change as a radical impact on the minimum wage, and also to demonstrate
the methodology which this research has argued provides a better understanding of the
effects of minimum wages.
Quantitative Analyses
Using the Korean Labour and Income Panel Study (KLIPS), four subtopics - the effects
of the minimum wage on the distribution of wages, on employment, on the distribution
of family earnings, and on exit from working poor, among older employees aged 55 and
older - were examined for each five-year period of the two chosen Korean governments.
Considering the fixing point of a minimum wage rate by each government, its
application period, and the data collection time point of each wave (see Appendix 1),
wave 7 in 2004 to wave 16 in 2013 of the KLIPS were mainly included. However, some
variables required were derived from wave 6 in 2003 and wave 17 in 2014. For
example, family income for 2013 can be derived from wave 17 in 2014 because each
wave of the KLIPS provides household income for the previous year, not for the
concerned year; and also, the fraction of older employees affected by a minimum wage
rate newly applied in 2004 should be calculated with wave 6 in 2003. Except for the
kernel density estimates for descriptive analyses of the distributions of wages and of
family earnings, regression-based statistical methods for panel data analysis, such as
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ordinary least squares (OLS) models and fixed-effects models, and the multilevel
discrete time event history model for competing risks were used as per the purpose of
each subtopic. The target age chosen for this research, as indicated in Chapter Six, was
grounded on the Korean context of the labour market that the actual age at which
workers retired from their lifetime main jobs has long been around 55 years.
Data
The KLIPS is an annual longitudinal panel study in South Korea which surveys the
economic and labour market activities of households and individuals residing in urban
areas across the country. It began in 1998 and is conducted annually by the Korea
Labour Institute (KLI) employing face-to-face interviews with the same set of questions
to the same set of households and their members. The sample was selected through a
two-stage stratified clustering method in which 951 areas were initially chosen from a
total of 21,675 sampling unit areas of the 1995 Korea Census, and then 5-6 households
were randomly opted for from each area. The original sample of 1998 included 5,000
households and 13,321 individuals therein to represent the adult population aged 15 and
over residing in urban areas and was complemented in the twelfth wave in 2009 by
adding 1,415 households and their members to redeem a significant number of dropouts
from the panel and to extend the sampling unit area to Jeju Island excluded from the
original sampling. The KLIPS consists of three datasets, household, individual, and
work history. The household dataset covers demographics, changes in household
members, family relations and financial resource exchanges between generations, types
of accommodation, children’s education and childcare, household income and
consumption, assets and debts, financial status, and burdensome spending. The
individual dataset includes the state of economic activity, earnings, working hours,
income and consumption, education and vocational training, and job-seeking activities.
The work history dataset contains information on individuals’ mobility in the labour
market.
The KLIPS is the best available dataset for this study about the effects of the minimum
wage on older workers in Korea. Firstly, it includes a reasonable panel size of older
employees aged 55 and over which represents the corresponding population in urban
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areas, which means that it is feasible to conduct an inferential statistical analysis
focusing on older employees. Secondly, since the survey provides employees’ monthly
earnings and weekly working hours, hourly wage rates directly comparable to minimum
wage rates can be derived. Along with this, the KLIPS allows family earnings and
income identified per individual unit through merging the household dataset and the
individual dataset, and it facilitates an analysis of family income-related effects of the
minimum wage, including the effects on family earnings and on exit from working poor.
More importantly, the KLIPS enables the contextual limitation that a comparison group
which is not affected by an increase in the minimum wage cannot be set up to be
redeemed by providing the data from the same individuals obtained over time and also
by allowing the regional difference in influence of the minimum wage to be employed
in the analysis. Furthermore, since the KLIPS has all the strengths of the pre-existing
time-series data and cross-sectional data, and allows event history data with repeated
events and multiple types of event simultaneously to be constructed, the analysis of the
effects of an increase in the minimum wage on transitions in individuals’ status of
employment and/or of poverty, is rendered feasible.
Methods
The first concern with regard to the effects of the minimum wage on older workers was
its distributional effects on wages. The effects were examined by testing the two typical
predictions of economic theories on wages, spike and spillovers. As presented earlier in
this chapter, if a minimum wage is strongly enforced and complied with, it will raise the
pay of those who were previously paid below that rate, which truncates or thins out the
lower tail of the distribution of wages and creates a spike at the point of the minimum
wage (Neumark and Wascher, 2008; Manning, 2012). An increase in the minimum wage
may also raise the wages of those who were already paid slightly above the new
minimum rate, mainly due to substitution of workers with higher skill for those with the
lowest skill and wage differentials between workers with different levels of skill
(Neumark and Wascher, 2008). Following Alaniz, Gindling, and Terrell (2011), spikes at
the point of the minimum wage were assessed graphically per five-year period where
the rates each of the two concerned governments fixed were applied, by plotting the
kernel density estimates of log hourly wages minus log minimum wage for each
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employee aged 55 and older in each year, where a zero indicated that the worker earned
the minimum wage rate of the year.
Then, how increases in the minimum wage caused changes in wages of employees aged
55 and older and relieved the wage gap among them were tested for each of the two
chosen five-year periods, using OLS and fixed-effects models. Following Jeong, J-H
(2011), an increase in the minimum wage was defined as two variables which were
shortened henceforth as the fraction affected and the fraction newly affected. The
fraction affected refers to the proportion of employees aged 55 and older who earned
less than a new minimum wage in the previous year to all employees of the same age
group, whereas the fraction newly affected refers to the proportion of employees aged
55 and older who were paid between an old and a new minimum wage in the previous
year to all employees of the same age group. The latter is more typical and therefore
suitable to stand for an increase in the minimum wage because the fraction represents
those directly affected by the increase. However, since a considerable proportion of
employees earned less than the minimum wage not only among mature workers aged 55
and over but also in the labour force as a whole in Korea, the former was also
incorporated as an indicator representing an increase in the minimum wage. Further,
both indicators of an increase in the minimum wage were computed by region
consisting of 7 metropolitan cities, 8 provinces, and one special self-governing
province.5 This was to redeem the limitation that a comparison group would hardly be
set up due to the institutional and developmental peculiarity of the Korean national
minimum wage, based on the assumption that regional difference in the fraction of
workers affected by an increase in the minimum wage would reflect the regional wage
differentials. The dependent variables were the changes in the 10th, 25th, 50th, 75th, and
90th percentiles of log hourly wages among employees aged 55 and older for each
region and the changes in ratios between the 90th and 10th, the 90th and 25th, the 90th and
50th, and the 50th and 10th percentiles of log hourly wages among employees aged 55
and older for each region. In the statistical models, the changes in the employment rate
of older employees by region were included as a control variable. This was defined as
the changes in the proportion of employees aged 55 and older who were neither self-
employed nor engaged in unpaid work to all individuals of the same age group for each
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region. This variable was under the assumptions that regional difference in the rate
would reflect the different labour market conditions across regions and that the rate was
arguably the better labour market measure than the unemployment rate of older workers
in as much as those who had motivation to work but were not employed and those who
were completely left the labour market were hardly distinguished in practice for this age
group.
The employment effect of the minimum wage for older workers was explored on two
different levels. Using OLS and the fixed-effects models, the effect was first screened at
the regional level for each of the two five-year periods by regressing each of the
changes in the employment rate of older employees by region and the changes in the
unemployment rate of older individuals by region on both of the fraction affected and
the fraction newly affected, the same indicators of an increase in the minimum wage
used in the analyses of the effects on the distribution of wages. The changes in the
employment rate of older employees by region was also defined as the same with the
control variable in the analysis of the distributional effects on wages, and the change in
the unemployment rate by region referred to the changes in the proportion of those aged
55 and older who were neither employed, self-employed, nor engaged in unpaid work to
all individuals of the same age group for each region. For a valid causal inference,
regional differences in factors which would be involved in regional employment and
unemployment rates should be controlled for. For example, sectoral composition by
region may reflect different rates of growth in production, different elasticity of
employment with respect to output, different capital intensity, and different patterns of
technological change by regional economy which all will influence employment at the
regional level (Eurostat, 2014). However, since the number of individuals aged 55 and
over in the panel data used for this research was relatively few when taking into account
the number of industrial sectors classified in the data, it was questioned whether the
sectoral composition for the age group by region would have sufficient distinction to
reflect the regional economy, and no control variable was included in the models. In this
regard, the statistical tests for employment effects at the regional level aimed at getting
informed of the consistent correlation between an increase in the minimum wage and
the changes in employment or unemployment rates for older individuals, rather than at
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determining the causal relationship between them.
The causal relationship between the increase in the minimum wage and older workers’
status in employment was explored at the individual level. Given the assumption that
older employees were more likely to be laid off in connection with labour market
interruptions and less likely to be re-employed once they were unemployed, whether
they would be discharged in practice as the minimum wage increases was the primary
concern for the group. In this regard, how an increase in the minimum wage affected the
transition from being employed among individuals aged 55 and older was tested for
each of the two five-year periods, using a multilevel discrete-time event history model
for competing risks. The model allows event history data with discrete-time nature and
complex structure to be handled (Steele, Goldstein, and Browne, 2004; Steele, 2011)
and requires a series of data preparations. The longitudinal record of individuals’
employment status collected every year in the KLIPS datasets was first converted into
event history data with an episode defined as a continuous period of being employed.
An episode began if an individual started to be employed and ended if the individual
moved into unemployment or other types of employment, such as self-employment and
non-wage family business work. The timing at which an episode ended was represented
by a form of time interval in which a transition occurred, and the exact timing of a
transition within a time interval was not important in a given case because the main
concern was to analyse whether or not an employee remained being employed along
with the annual increase in the minimum wage, based on the length of time spent in
being employed, not to study the timing of transition. This leads to a discrete-time
model which allowed us to analyse the duration of episodes (Steele, 2011). Discrete-
time models have flexibility to handle a complex structure including a hierarchical
structure and multiple possible ways in which an episode may end and also to facilitate
straightforward inclusion of time-varying covariates (Steele, Goldstein, and Browne,
2004). Transitions from being employed can be found several times for an individual
over the observation period, and the two types of transitions into unemployment and
other types of employment become competing risks at which an individual is of
experiencing a transition from being employed. These require a multilevel multinomial
model dealing with recurrent events within an individual and two competing risks, and
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the model can be embodied within a discrete-time model by some initial data
restructuring.
The event history data of employment transition were restructured in discrete-time
format with one record per one-year time interval spent in an employment status, using
SPSS. These data were essentially in a long format where fewer cases contributed a
greater number of observations due to the year concerned. In this data, the case
indicated by an individual’s identifier was regarded as level 2, and the variable, year as
level 1. To construct the event variable which showed an individual’s transition in
employment status for each year, the original variable for employment status was
recoded as 0 for still being employed, 1 for becoming unemployed, and 2 for becoming
self-employed or a non-wage family business worker. The variable, duration which
indicated the duration of an episode defined was created, indexed as 1, 2, 3, … from the
starting year of being employed to the ending year with a transition to being
unemployed or in other types of employment, and it was reset to 1 at the start of second
time being employed. Since being employed was the only starting point in employment
status, the record of the following year(s) was not included as an observation if an
individual stayed unemployed or in other types of employment after a transition to one
of them. The variable, exposure which indicated the number of years of a one-year
interval for which an individual was at risk of a transition, was also created. In the
analysis, the exposure variable is typically used for giving observations weighted (The
University of Bristol, 2006). However, since the time interval used as the denominator
for weighting was one for this analysis, the value of the multinomial response weighted
was the same as the one before being weighted.
The discrete-time data procured through the first data restructuring presented above
were extended to have a set of binary responses for each multinomial response. This
construction was carried out automatically when a multinomial model was specified in
MLwiN (The University of Bristol, 2006).6 The event variable in the discrete-time data
was converted into four variables in the extended data, response (resp), response_index
(resp-ind), cons.unemployment (con.une), and cons.self-employment (cons.self). The
response_index variable indexed the binary responses as 1 for the unemployment
indicator and 2 for self-employment or non-wage family business work indicator. This
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variable became the level 1 identifier when defining the multilevel structure, and the
‘real’ level 1 (time unit) was shifted up to level 2, with individual at level 3. When
response_index was 1, cons.unemployment was 1 and cons.self-employment was 0.
When response_index was 2, cons.unemployment was 0 and cons.self-employment was
1. The response variable was indexed as 1 only when the value of the event variable in
the discrete-time data was consistent with the value of the response_index variable in a
given year, and otherwise, the response variable was indexed as 0. The individual_long
variable and the atrisk_long variable were ‘long’ versions of individual_identifier and
exposure, respectively, in the discrete-time data. The duration.unemployment (dur.une)
variable was cons.une * a ‘long’ version of the duration variable. The con.* and dur.*
variables were created when cons and dur were added to the model as explanatory
variables. The coefficients of cons.une and cons.self became the intercepts in the
contrasts for unemployment and self-employment/non-wage family business work
versus remaining in employment while the coefficients of dur.une and dur.self were the
duration effects on each contrast. An example of the data expansion for episodes for two
individuals is as follows:
Discrete-time data
Individual Dur Event Atrisk 1 1 0 1 1 2 0 1 1 3 2 1 2 1 1 1
Extended data by MLwiN
Individual_long Resp_ind Resp Atrisk_long Cons.une Cons.self Dur.une Dur.self 1 1 0 1 1 0 1 0 1 2 0 1 0 1 0 1 1 1 0 1 1 0 2 0 1 2 0 1 0 1 0 2 1 1 0 1 1 0 3 0 1 2 1 1 0 1 0 3 2 1 1 1 1 0 1 0 2 2 0 1 0 1 0 1
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The main explanatory variables included in the model which was set up through the
data preparation were duration spent in being employed and square of duration for the
effect of duration and the combination variable, the minimum wage application or not *
log hourly real minimum wage for the effect of the minimum wage. The duration
variable was centred by group defined by the variable, year in the model, which meant
that the annual mean of duration was subtracted from the corresponding individual
scores, and thus, after being centred, the value, zero indicated the mean of the centred
variable, duration, for each year (Hox, 2002). Centring duration was to avoid
multicollinearity issues possibly generated by including the transformed variable,
square of duration, in the model, which could affect model convergence problems
and/or inflated standard errors (Goldstein, 2015).7 The advantage of centring on the
variable, year is that the effect of duration can be interpreted under the control of the
year effect. Meanwhile, using square of duration for the effect of duration meant that
the quadratic relation between the duration spent in being employed and the transition to
unemployment or self-employment/non-wage family business work was tested,
assuming that the occurrence of a transition would increase or decrease with the
duration spent in being employed but at some point it could go the opposite way. This
assumption took into account older workers’ characteristics of the relatively high
proportion of temporary jobs and the plausibility of being in a critical transition period
from a major lifelong career. For the effect of the minimum wage, using the
combination variable, minimum wage application or not * log hourly real minimum
wage was to capture both the individual-varying feature and the time-varying one
within an individual, simultaneously. Minimum wage application or not in the
combination variable was indexed as 1 for the individual affected by a minimum wage
rate and 0 for those not affected, based on an employee’s hourly wage which was
derived from monthly pay and average weekly working hours one year earlier than each
concerned year. Some missing data of the derived hourly wage, which occurred due to
the absence of information about monthly pay and weekly working hours, were imputed
by expectation-maximization (EM) technique in SPSS for all employees each year,
considering the relationship with other variables, such as sex, age, the level of education
obtained, and the types of employment.8 In addition to the main explanatory variables,
sex, age, and the level of education obtained were included as additional controls in the
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model. The education obtained variable was categorised as middle school and lower
and high school and higher since the proportion of those with higher education was very
small. All variables included in the model were time-varying, except for sex.
This multilevel discrete-time event history model for competing risks constructed for
the analysis of the minimum wage effects on employment among older employees aged
55 and older was examined in the fixed-effects model estimated by the 1st order
marginal quasi-likelihood (MQL) procedure and the random-effects model estimated by
Monte Carlo Malkov (MCMC) method, using MLwiN. Since MQL produced the most
rough approximation, leading to estimates biased downward, and predictive quasi-
likelihood (PQL) raised convergence problems in MLwiN due to its instability
(Rasbash, Steele, Browne, and Goldstein, 2016), whereas MCMC method produced
new estimates for unknown parameters from the last iteration by repeating the process
of combining a prior distribution into a posterior distribution for many times (Browne,
2016), the simulation-based estimation procedure was used as an alternative to
likelihood-based estimation procedures in the random-effects model which allowed for
unobserved heterogeneity at the individual level by enabling the coefficients of constant
variables for the two binary responses to vary randomly across older employees.
The third concern, the effect of the minimum wage on older workers’ family income
was explored by questioning how an increase in the minimum wage affected the
distribution of family earnings. Since the minimum wage can influence income from
labour only, family earnings were regarded as a relevant outcome variable for the
analysis. The distribution of family earnings of employees aged 55 and older was first
reviewed for each of the two five-year periods by plotting the kernel density estimates.
The estimates were calculated per year by subtracting the logarithm of 60 per cent of the
median annual family earnings per capita for all employees’ households from the
logarithm of annual family earnings per capita for each older employee’ household. The
zero in the density plot indicates that the older individual’s family gains 60 per cent of
the median annual household earnings for all employees’ households. Typically, total
earnings that all employed family members earn in a household is used for the study of
the distribution of household earnings. However, as the focal point of this analysis was
the changes in family earnings of older employees, the annual family earnings per capita
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for each older employee were computed by dividing the total annual family earnings in
each individual’s household by the square of household size, an equivalence scale for
income estimates.9 Then the effect of the minimum wage on the distribution of family
earnings of older employees was tested for each of the two five-year periods, using OLS
and fixed-effects models. In the models, the same measures of an increase in the
minimum wage and of the changes in the employment rate of older employees by region
used in the analyses of the distributional effect on wages were employed as independent
variables and a control variable, respectively. The dependent variables were the changes
in the 10th, 50th, and 90th percentiles of log annual family earnings per capita among
employees aged 55 and over for each region and the changes in ratios between the 90th
and 10th and the 50th and 10th percentiles of log annual family earnings per capita
among employees aged 55 and older for each region.
The last concern as regards the effects of the minimum wage on older workers was
whether an increase in the minimum wage helped an older employee to exit from
poverty. This was examined for each of the two five-year concerned periods, using a
multilevel discrete-time event history model for competing risks, as in the analysis of
the minimum wage effect on older employees’ employment. Combining the individual
dataset and the household dataset of the KLIPS, event history data with an episode
defined as continuous period of being the working poor was constructed among
employees aged 55 and older. The working poor were defined as employees whose
household income was less than 60 per cent of the median annual household income for
all individuals surveyed.10 Note that household income rather than family earnings was
used for this analysis on the assumption that earned income would be the most elastic to
change a household’s finance among low-income families. Household income was
computed on a per-capita basis for figuring out an employee’s poverty status by
dividing the total annual amount of earned income, financial income, income from
estates, income from social insurance, transfer income, and other income in an
individual’s household by the square root of household size, an equivalence scale for
income estimates as in the calculation of family earnings per capita in the analysis of the
distributional effect on family earnings. Some missing data of the derived household
income per capita were imputed by expectation-maximization (EM) technique in SPSS
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for all respondents each year, considering the relationship with other variables, such as
sex, age, the level of education obtained, marital status, householder or not, and the
number of family members, after the check for whether the missing data were small
enough and at random. An episode started if an individual began to be in in-work
poverty and ended if the individual was out of poverty while remaining employed,
became unemployed, or moved into other types of employment, such as self-
employment and non-wage family business work. Accordingly, there were three types
of competing risks at which an individual was of experiencing a transition from being
working poor, and three binary responses for the multinomial response were generated
in the extended discrete-time data in MLwiN.
The main explanatory variables were duration spent in being working poor and square
of duration for the effect of duration and the combination variable, the minimum wage
application or not * log hourly real minimum wage for the effect of the minimum wage.
By the same token in the analysis of the effect on older employees’ employment, the
duration variable was centred by groups defined by the variable, year in the model, and
the quadratic relation between duration spent in being working poor and the transition to
other states was tested with square of duration. Sex, age, the level of education
obtained, householder or not, and the number of family members were included as
control variables in the model.11 All variables were time-varying, except for sex. As in
the analysis of the employment effect at the individual level, the event history model for
the effects on older employees’ exit from being poor was examined in the fixed-effects
model using MQL estimation method and the random-effects model using the MCMC
estimation method.
Qualitative Analysis
Three components of the alternative political economy framework proposed earlier for
this research on minimum wage effects - government political orientation as regards
policies, the dynamic of power, and the implicit characteristics of the minimum wage -
were compared through a contextual analysis for the two chosen five-year periods in
order to better understand the empirical results from the quantitative analyses. The
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method was chosen based on the logical reasoning of building the theoretical
framework. That is, the significant dissonance between empirical results and theoretical
predictions of the existing economic theories addresses an explanatory vacuum. This
evokes the fact that the minimum wage is fundamentally a public policy which is
framed and implemented through political policy processes and has multiple attributes
of labour and social policy as well as wage and economic policy. Although quantitative
methods are prevalent in public policy research as well, the main political elements
involved in the effect of minimum wages, such as government political orientation as
regards policies, the dynamic of power, and the implicit characteristics of the minimum
wage, cannot be quantifiable and analysed in a statistical model because they engage in
processes, contexts, and dominant political and social values.
The context and specifics of a case were assumed to be reflected in discourse which was
formed in the minimum wage policy process allowing for related political and economic
events occurred in a concerned period. In the same vein as Fischer (2003, p.45, quoted
in Hill, 2009, pp.80-81), a set of relationships between political factors concerning
minimum wage effects ‘can be constructed and discussed only through language’, and
as Hall (1993, p.289, quoted in Hill, 2009, p.76) argues, ‘the terms of political discourse
generally have a specific configuration that lends representative legitimacy to some
social interests more than others, delineate the accepted boundaries of state action …
and defines the context in which many issues will be understood’. This recognition of
the significance of discourse led to the use of an analysis of texts generated, particularly
in the policy process. However, the stress on the significance of discourse here does not
mean the negation of ‘the importance of the empirical testing of theories and hypotheses
(Hill, 2009, p.12)’ in the minimum wage research. Rather, as Hill (2009, p.12) argues, it
is ‘allowing for the possibility of alternative interpretations of evidence’.
Data and Material
The National Minimum Wage for the Year of OOOO: The Details of Deliberation and
Decision [OOOO년도 적용 최저임금 심의·의결경위] was chiefly employed for the
contextual analysis. It is the Korean Minimum Wage Council’s annual report on the
minimum wage fixing process. It has been published since 1988 by the Minimum Wage
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Council which was established under the Ministry of (Employment) and Labour [고용노
동부] by Article 12 of the Minimum Wage Act [최저임금법] and is responsible for
deliberation on the level of the minimum wage and other related issues. Although there
are slight differences in the structure of contents every year, the report mostly consists
of an overview of the Minimum Wage Commissioners, the functions of plenary sessions
and sub-committees and the procedures of deliberation and decision, records of each
plenary session and meeting held by each sub-committee, the process of negotiation on
the rate of increase in the minimum wage, Employer Commissioners’ request proposal,
Employee Commissioners’ request proposal, a report on the Commissioners’ business
field investigation, results of annual evaluation survey of minimum wage effects, and
records of workshops held out of the fixing period. It provides detailed information on
the composition of and changes in the Minimum Wage Commission members, the
debate and events occurred in each plenary session and a meeting held by a sub-
committee during the fixing period, interactions among labour, business and public
interest representative members with regard to a specific issue addressed in the
Commission, and the whole process that a decision was made and an issue was shelved
for further discussion in the next fixing period. The report also includes, albeit in limited
form, interviews among employers and employees which were obtained from the
Commissioners’ annual field investigation. Since the report informs of all of the issues
addressed and discussed in the Commission, demands, opinions and behaviours
presented by each Commissioners group, and related events held in and out of the
Commissions, it provides a suitable textual data to look at the dynamic of power among
the Commissioner groups in the minimum wage fixing process and the implicit
characteristics of the minimum wage shaped by the dynamic, which were considered
earlier in the newly proposed political economy framework as critical factors to explain
the effects of the minimum wage. Despite the merit of the report as data, this was the
first attempt to use it for studying the effects of the minimum wage in Korea.
In addition to the Minimum Wage Council’s annual report, academic literature on
economic and labour policies and on the relationships between government, business,
and labour, government reports from the National Economic Advisory Council [국민경
제자문위원회], the Ministry of Strategy and Finance [기획재정부], and the Ministry of
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(Employment) and Labour [(고용)노동부], reports from the Confederation of Korean
Industries [한국경영자총협회], the Confederation of Korean Government Employees’
Unions [대한민국공무원노동조합총연맹], and trade unions, and newspaper articles
were used, particularly to look at each government’s political orientation as regards
policy, which could not be covered by the Minimum Wage Council’s annual report, and
ultimately for constructing methodological triangulation of macro, meso, and micro
levels of analysis, which was embedded in the alternative political economy framework
proposed earlier.
Methods
Academic literature, reports from a variety of government departments and employers’
and employees’ organisations, and newspaper articles were comprehensively reviewed,
and the Minimum Wage Council’s annual reports were analysed by hand as below.
Because it was needed to figure out the flow of contents in several layers as presented
below, analysing it by hand was deemed more effective than using a data analysis
programme which basically relied on the categorisation of themes and relations between
them. Themes that emerged from the reports were first identified as the composition of
human resource among the public interest members of the Minimum Wage
Commission, roles and responsibilities of plenary sessions and sub-committees in the
Minimum Wage Council and Commission, minimum wage fixing criteria, issues
addressed and discussed by the representative members of the Commission, each
representative group’s involvement in the fixing process, and responses of frontline
government, employers and employees which were from field surveys during each
fixing period attached to the reports. Information from the data was rearranged under
each theme for each five-year period. In this rearrangement, the theme of minimum
wage fixing criteria was divided into debates on criteria and criteria practically used in
the fixing process, and issues addressed and discussed in the Commission were
reviewed by topic and graded importance on according to frequency of appearance and
intensity of discussion. Debates on fixing criteria and issues raised in the Commission
were also looked at by sub-committee in the Minimum Wage Council and Commission
in order to identify the changes in roles and responsibilities of plenary sessions and sub-
committees. Except for the composition of human resources among public interest
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members in the Commission, all of the information presented under each theme and
sub-theme were revealed by each representative group.
Face-to-face interviews which are commonly used as a useful data collection method in
a qualitative analysis were not employed in this study. The main reason was that the
report provided the full descriptions of the relevant processes, which allowed
researchers to read the contexts of the rate fixing process and any continuity and
disparity between the rates of increase. A more practical reason was time and resource
restraints in completing this PhD research. As the last two waves of the KLIPS was
released in January, 2016, almost one year behind schedule, and the multilevel discrete-
time event history model for competing risks required extremely time-consuming
preparatory work with the data, supplementary data collection by face-to-face
interviews in addition to the analysis of the Minimum Wage Council’s annual reports
covering ten years was not feasible. The number of target interviewees and accessibility
to them in terms of time, distance, expenses, and personal information were expected to
be critical barriers for preparing and conducting interviews because they were the
former representative members in the Minimum Wage Commission which consisted of
27 representatives, 9 for each group of employers, employees, and public interests, of
whom each member served a three-year term. The limitation of this research which can
be raised by the exclusion of face-to-face interviews are discussed in the Conclusion
Chapter.
Conclusion
This chapter reviewed and discussed various theoretical perspectives on the minimum
wage. Mainstream economics, particularly neoclassical theory and the monopsony
model, have long dominated this field of research. These have attempted to improve
their explanatory power in many ways, but inconsistency in empirical evidence,
especially regarding employment and the exit from poverty, does not sustain their
predictions about what the effects of minimum wages would be like. In more recent
years, the Keynesian model has developed as an alternative account of the minimum
wage effects, claiming a macroeconomic approach in the theoretical debate. However, it
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is hard to explain spillover effects in the distribution of wages and their influence on
wage dispersion within the Keynesian explanation. Setting the weakness of each branch
of economic theories aside, the first and foremost fact is that all the economic
explanations overlook the political attributes of minimum wages. Some political
economy explanations relating to the minimum wage can be found, but they focus on
what political factors as well as economic ones make people support or oppose the
minimum wage, rather than how the political attributes of minimum wages are involved
in shaping its effects on workers. Hence, an alternative political economy framework for
the research of the minimum wage effects was proposed. The framework argues that the
implicit characteristics of minimum wage policy are produced by a dynamic of power,
which results in forming an equilibrium of power among stakeholders at a particular
time and stage of the policy process, and the characteristics, which can be detected by
the discourse constructed through the policy process, shape the effects of the minimum
wage. Furthermore, minimum wage policy is likely to be punctuated mainly by
government change unless a shock in macroeconomic conditions and/or radical
mobilisation of public opinions occur. Following the logical reasoning of building the
theoretical framework, this thesis conducted both quantitative analyses using statistical
methods and contextual analysis with the review of the relevant literature and
documents.
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Notes
1 This section incorporates not only theoretical models which strictly bear the fundamental elements of the neoclassical paradigm for the labour market economics but also ones that significantly modify the key elements and are named differently, such as monopsony models, search models, and efficiency wage models. 2 Pettengill, John S. (1981). The Long-run impact of a minimum wage on employment and the wage structure. In: MINIMUM WAGE STUDY COMMISION. Report of the Minimum Wage Study Commission, Vol. 6, 63-104. Washington DC: U.S. Government Printing Office. 3 It was originally written as a discussion paper at Northwestern University in 1989, published in 1998, and was presented at the LSE in 1990. 4 As Hayes summaries in his article, Sobel (1999) shows this by advancing a pressure group model of political influence based on Gary Becker’s earlier work (1983, A Theory of Competition Among Pressure Groups for Political Influence. The Quarterly Journal of Economics, 98(3), pp.371-400). In the model, the political strength of unions was measured by union membership as a share of non-agricultural employment (a), the political power of business interests, by the top marginal corporate income tax rate (b), and a relative union/business ratio was calculated by dividing (a) by 100 per cent minus (b). Sobel found that the relative union/business ratio was strongly correlated with the real value of the minimum wage over the entire historical period in the United States. 5 As Jeju Island, the special self-governing province was included as a sampling unit area into the KLIPS from 2009, the indicators of an increase in the minimum wage and the employment rate of older employees for the first five-year period were computed for 7 metropolitan cities and 8 provinces. 6 Macros which contains syntax to read ascii file into MLwiN were used to specify a multinomial response model, to create new variables for the model, and to set up an initial simple competing risks model, as presented in The University of Bristol’s (2006) training document for multilevel discrete-time event history analysis. An example of the macro used can be found in Appendix 2. Note that the reason why an initial simple model, rather than a full model for the analysis, was set up in the macro is that convergence problem often occurs when multiple covariates are included in a model at the same time. 7 In practice, the random-effects model for the second five-year period was not converged when the duration variable was uncentred or centred on its grand mean; and the model for the first five-year period was converged but produced highly inflated coefficients and standard errors with uncentred duration or centred one on its grand mean. 8 Adams & Neumark (2005) used imputed wages to identify a group affected by living wage and the other not affected in the analysis of employment effects. For our analysis, an imputation method which produces single values for cases with missing in order to rationally classify each case into a certain group is needed. EM imputation technique which imputes a value the most likely based on the values of other related variables is a plausible option when the rate of missing data is small, and the missing are completely at random (MCAR) or conditionally at random (MAR). The percentage of missing values of derived hourly wages for all employees in our datasets is below five per cent in each concerned year; missing data in some years are turned
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out as MCAR by the Little’s MCAR test, and in other years there is no evidence that the probability of a missing value depends on the variable that is missing (NMAR). 9 A wide range of equivalence scales exist, and the square root scale has been used by recent OECD publications which compare income inequality and poverty across countries (OECD, 2013b). See OECD (2013d). OECD Framework for Statistics on the Distribution of Household Income, Comsumption and Wealth. OECD Publishing. for further details of household equivalence scales. 10 There are various ways to define and measure poverty depending on the purpose of research. The most commonly used approach is to compare each household’s income adjusted for family size to median income. OECD, EU and many other countries use 60 per cent of median household income as the poverty threshold. See OECD (2013e). The OECD Approach to Measure and Monitor Income Poverty across Countries. United Nations Economic Commission for Europe Conference of European Statisticians. Geneva. for further details of poverty thresholds. 11 The variable, marital status, were not included in the final model since other types other than ‘married’ rarely found among the cases included, which caused model convergence problem.
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Chapter Six The Factual Context for the Case Study of South Korea
Introduction
This chapter reviews the national minimum wage system and the labour market status of
mature workers aged 50 and over in South Korea to provide background knowledge
before presenting the analysis results. It includes a brief history of the minimum wage
law, the current system, and the changes in its level and influence; and then, how
potentially Korean older workers can be affected by the minimum wage is assessed
through surveying their participation in the labour market, employment, unemployment,
types of employment, industry sectors and occupations they are involved in, their wage
levels and the level of income security guaranteed by their wage, and disadvantages
they face in the workforce. Then, empirical studies about the effects of the minimum
wage in Korea are also looked at in the last section, with a special interest in older
workers.
The National Minimum Wage
The statutory minimum wage in South Korea, with the purpose of ‘stabilising workers’
life and improving the quality of the labour force by guaranteeing a certain minimum
level of wages to workers, thereby contributing to the sound development of the
national economy (Minimum Wage Act Art.1)’ was enforced in 1988 under the
influence of the massive eruption of the labour union movement in the late 1980s (Yun,
A-L, 2014). The Labour Standards Act enacted in 1953 provided the legal grounds for
the statutory minimum wage, but it had not been implemented until the end of 1986
under the Korean government’s judgement at that time that the statutory minimum wage
was not acceptable to the national economy. The Minimum Wage Act was enacted in
December 1986 and came into effect in January 1987, covering only manufacturing
companies with ten employees and more. In 1988 the coverage of the minimum wage
rate was extended into the mining and construction sectors with 10 employees or more
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as well as manufacturing. In the following year, the coverage was further extended to all
companies with ten employees or more; and after several amendments, it was finally
applied to all companies or workplaces with one employee or more in 2000. The
national minimum wage, however, became widely known to small and medium-sized
employers and employees as well as the public in practice as the number of non-regular
workers increased sharply in the mid-2000s influenced by the International Monetary
Fund (IMF)’s bailout programme following the 1998 Korean financial crisis. All
employees as defined in the Labour Standards Act, regardless of their employment
status or nationality, currently benefit from the statutory minimum wage, except
domestic workers, the seamen and those with a very limited working capacity due to
their physical and mental disabilities. But those engaged in an apprenticeship for less
than three months can be legally paid 10% less than the hourly rate of the minimum
wage. From 2007, the subminimum wage was introduced for those engaged in
surveillance or intermittent work who had been exempt from the minimum wage due to
their exclusion from the application of the Labour Standard Act under Article 63, Clause
3 of the Act.1
The minimum wage rate is fixed annually by the government based on the proposal the
Minimum Wage Commission [최저임금위원회] submits. The Commission consists of
27 representatives, 9 for each group of workers, employers, and public interests, and
should put forward a newly proposed rate to the government by the 29th of June every
year. The government should announce a new minimum wage rate by the 5th of August
in the same year, and a new rate takes effect from the 1st of January of the following
year (Figure 6.1).2 The Minimum Wage Commission is outwardly a tripartite
organisation with division of power among the three groups, but the public interest
members who are experts, mostly in economics or business administration, with
profound knowledge and experience, such as public officials, professors, and
researchers of an officially authorised research institute, actually take the lead in fixing
a new rate (Yun, A-L, 2014). Meanwhile, workers’ living costs, the wages of similar
workers, labour productivity, and income distribution ratio are stated in the Minimum
Wage Act as the minimum wage fixing criteria to be taken into account. However, in
many cases the main reasons for the low level of the minimum wage provided by the
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government are economic conditions including the inflation rate and the capacity of
employers to pay especially in the case of small and medium-sized firms. This implies
that economic conditions are, in practice, more critical than the indicators stated in the
law.
Figure 6.1 Process of Minimum Wage Deliberation and Determination in South Korea
Source: The Minimum Wage Council (http://www.minimumwage.go.kr)
The current (2015) minimum wage rate is 5,580 KR won (£ 3.32 or $ 5.08 at the
exchange rate of February 2015). Compared to 462.50 KR won (£ 0.37 or $ 0.63 at the
then average yearly exchange rate) in 1988 when the minimum wage was introduced,
the wage rate has risen by twelve times during the past 27 years. The rate of increase
ranges from 4.9 per cent to 18.8 per cent excluding the three exceptionally low or high
rates in three years. The average rate is 9.7 per cent which is slightly higher than 8.3 per
cent, the median, owing to the exceptional cases (Table 6.1). Looking at the increases
sanctioned by the government, the average uplift rate was 13.8 per cent during the Roh,
Tae-Woo government (1988-1993) which represented the conservative ruling party but
ushered in a new ‘Democratic Era’ in Korea, 8.1 per cent during, so called, ‘Moon Min’
government, a civilian government in which Kim, Young-Sam took office (1993-1998),
9.0 per cent during the Kim, Dae-Jung government (Government of the People, 1998-
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Table 6.1 Changes in Minimum Wage Rates in South Korea (KRW/GBP/USD; %; thousand persons)
Year
Hourly minimum wage rate* Increase
(%)
Number of workers covered
(A)
Number of beneficiary workers (B)
Influence rate** KRW
(₩) GBP(£) USD($)
2015 5,580 3.32 5.08 7.1 18,240 2,668 14.6 2014 5,210 3.00 4.95 7.2 17,734 2,565 14.5 2013 4,860 2.84 4.44 6.1 17,510 2,582 14.7 2012 4,580 2.57 4.06 6.0 17,048 2,343 13.7 2011 4,320 2.43 3.90 5.1 16,479 2,336 14.2 2010 4,110 2.30 3.55 2.75 16,103 2,566 15.9 2009 4,000 2.01 3.13 6.1 15,882 2,085 13.1 2008 3,770 1.87 3.42 8.3 15,351 2,214 13.8 2007 3,480 0.00 0.00 12.3 14,968 1,784 11.9
2005.09 ~ 2006.12 3,100 1.76 3.24 9.2 14,584 1,503 10.3
2004.09 ~ 2005.08 2,840 1.52 2.77 13.1 14,149 1,245 8.8
2003.09 ~ 2004.08 2,510 1.20 2.19 10.3 13,631 1,035 7.6
2002.09 ~ 2003.08 2,275 1.17 1.91 8.3 13,216 849 6.4
2001.09 ~ 2002.08 2,100 1.12 1.68 12.6 7,152 201 2.8
2000.09 ~ 2001.08 1,865 1.00 1.44 16.6 6,692 141 2.1
1999.09 ~ 2000.08 1,600 0.93 1.42 4.9 5,031 54 1.1
1998.09 ~ 1999.08 1,525 0.79 1.28 2.7 5,136 23 0.4
1997.09 ~ 1998.08 1,485 0.64 1.06 6.1 5,350 124 2.3
1996.09 ~ 1997.08 1,400 0.90 1.47 9.8 5,240 127 2.4
1995.09 ~ 1996.08 1,275 1.01 1.58 9.0 5,381 103 1.9
1994.09 ~ 1995.08 1,170 0.96 1.52 7.8 4,864 103 2.1
1994.01 ~ 1994.08 1,085 0.88 1.35 8.0 4,916 102 2.1
1993 1,005 0.83 1.25 8.6 5,045 228 4.5 1992 925 0.67 1.18 12.8 4,620 392 8.5 1991 820 0.63 1.12 18.8 4,556 393 8.6 1990 690 0.55 0.97 15.0 4,386 187 4.3 1989 600 0.55 0.89 26.3 3,053 328 10.7 1988 462.50 0.36 0.63 - 2,267 94 4.2
Source: Korea Minimum Wage Council (http://www.minimumwage.go.kr) Notes: Until the year 2002, the number of workers covered refers to regular employees only. * Hourly minimum wage rates in KRW were converted into GBP and USD at the average yearly exchange rate for
each year, except 2015 for which the average monthly exchange rate for February, 2015 was used. ** Influence rate = (B)/(A)*100.
152
2003), which was the first regime taken by the democratic party in Korean history of
politics, 10.6 per cent during the Roh, Moo-Hyun government, another democratic
regime (2003-2008), 5.2 per cent during the Lee, Myung-Bak government (2008-2013),
which claimed to stand for neoliberalism, and 7.4 per cent for four years of the Park,
Geun-Hye government (2013-2017) which showed a strong conservative inclination.
As shown in Figure 6.2, minimum wage rates have increased at rates which are mostly
higher than annual inflation rates and GDP per capita growth in South Korea. The rates
have been over 40 per cent of the median wage of full-time workers since 2007. This is
analogous to the level at which most countries set their minimum wages; however,
based on the mean wage of full-time workers, the minimum wage has still remained at a
little higher than 30 per cent. The fact that the level of minimum wages relative to the
mean wage is much lower than the level relative to the median implies the magnitude of
wage inequality. The minimum wage is also short of the minimum cost of living in
South Korea. While the minimum cost of living per month for households with two
members, which the Ministry of Health and Welfare set in 2015, was 1,051,048 KR won
(£ 625.3 or $ 956.9 at the exchange rate of February, 2015), the monthly earnings,
which a minimum wage worker was able to earn with working for 8 hours a day, 21
days a month, was 937,440 KR won (£ 557.7 or $ 853.5 at the exchange rate of
February, 2015), 89.2 per cent of the minimum cost of living.
Figure 6.2 Growth in Minimum Wage, Annual Inflation (CPI) & GDP per Capita, and Minimum Wage Relative to Average Wage of Full-Time Workers in South Korea, 1988- 2013 (%)
Source: Korea Minimum Wage Council (http://www.minimumwage.go.kr) & OECD.Stat (http://stats.oecd.org/Index.aspx); Figures in Appendix 3.
-20.0
0.0
20.0
40.0
60.0
19 88
19 89
19 90
19 91
19 92
19 93
19 94
19 95
19 96
19 97
19 98
19 99
20 00
20 01
20 02
20 03
20 04
20 05
20 06
20 07
20 08
20 09
20 10
20 11
20 12
20 13
20 14
Growth in minimum wage Change in annual inflation Growth in GDP per capita
153
The ‘influence rate’ which refers to the ratio of workers benefiting from the minimum
wage increase relative to the workers covered as a whole shows that the minimum wage
has obviously extended its influence, in particular, since the early 2000s (Table 6.1).
The rates remained at a very low level during the 1990s with the exception of the
several years after 1989 when the coverage of the minimum wage was extended from
companies in manufacturing, mining, and construction to all companies with 10
employees or more has been over 10 per cent since September of 2005. This is
attributed ostensibly to the further expansion of the coverage to all companies with one
employee or more in 2000; but it is most likely that the sustained increases in the
influence rates since the early 2000s is owed largely to the rise in the number of
precarious, low paid jobs caused by labour market flexibilization after the economic
recession in 1998.
Figure 6.3 The Share of Employees Paid Less than the Minimum Wage in South Korea, 2001-2013 (%)
Source: Minimum Wage Council, (2014), p.142
Under the Minimum Wage Act, an employer who fails to comply with the obligation to
pay at least minimum wage is expected to be punished by imprisonment of up to three
years or a fine not exceeding 20 million KR won (£ 11,899.2 or $18,208.3 at the
exchange rate of February 2015), or both. But there is neither the official figures of
noncompliance nor specific measures of a government crackdown on it, which implies
that noncompliance is rarely caught and sanctioned. Even when employers paying less
than the minimum wage are caught, they are scarcely ever penalised. The Ministry of
Employment and Labour caught 832 cases in which organisations paid less than the
4.3 4.9 4.9 5.8
8.1 9.4
11.9 10.8
12.8 11.5 10.8
9.6 11.4
0.0 2.0 4.0 6.0 8.0
10.0 12.0 14.0
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
154
minimum wage in 2014, but only 16 were fined (People's Solidarity for Paricipatory
Democracy [참여연대], 2015). According to People’s Solidarity for Participatory
Democracy (2015), a Korean citizen campaign group, although 33 businesses violated
twice, and 2 companies three times within 2014, only one among the habitual violating
organisations was subject to judicial action. The level of noncompliance can be weighed
up by the share of wage earners paid less than the minimum wage, and the share has
increased by 2.7 times, from 4.3% in 2001 to 11.4% in 2013 (Figure 6.3). According to
the employer representative’ proposal submitted to the Minimum Wage Commission,
98.7 per cent of wage earners paid below the minimum wage is employed in small and
medium-sized businesses with 300 employees or under, and 88.5 per cent of them works
for small-scale establishments with 30 employees or under, such as convenient stores
and restaurants (The Minimum Wage Council [최저임금위원회], 2014).
Older Workers in the Labour Market
Older workers are one of the most vulnerable groups in the labour market in South
Korea, particularly in terms of insecure employment, low pay, and a high poverty rate.
The fact that there is a big gap between 53 years old, the average age of retirement from
a lifetime major workplace (The National Statistical Office of Korea [통계청], 2013)
and 71.1 years old for men and 69.8 years old for women, the average effective
retirement age from the labour force which is the second highest among the OECD
countries (OECD, n.d.) suggests that many older people are economically active and
employed in a new workplace after retiring from their lifetime jobs, and at the same
time that it is highly possible that they are in low-quality, low paid jobs due to the
difficulty of career changes.
The labour force participation rate and the employment-to-population ratio among older
workers aged 50 and over are very high and have steadily grown, except during the
credit card lending crisis in 2003 and the financial crisis in 2008-09, while the
unemployment rate has remained low at around 2-3 per cent. As shown in Figure 6.4,
the labour force participation rates have increased from 72.5 per cent in 2000, 73.8 per
cent in 2005 to 78.8 per cent in 2014 among those aged 50-54, from 64.1 per cent in
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2000, 64.9 per cent in 2005 to 72.6 per cent in 2014 in the 55-59 age group, from 54.3
per cent in 2000, 54.5 per cent in 2005 to 59.8 per cent in 2014 among the 60-64 age
group, and from 29.6 per cent in 2000, 30 per cent in 2005 to 31.9 per cent in 2014
among those aged 65 and older. The employment rates have also risen from 70.2 per
cent in 2000, 72.1 per cent in 2005 to 77.2 per cent in 2014 in the 50-54 age group, from
62.2 per cent in 2000, 63.1 per cent in 2005 to 70.8 per cent in 2014 in the 55-59 age
group, from 53 per cent in 2000, 53.4 per cent in 2005 to 58.3 per cent in 2014 in the
60-64 age group, and from 29.4 per cent in 2000, 29.8 per cent in 2005 to 31.3 per cent
in 2014 among those aged 65 and older. Such growth might be attributed to the rapid
population ageing and the growing portion of the older population. However, Figure 6.5
shows that the growth rate of the labour force participation and of employment among
those aged 50 and older surpassed the rate of increase in the population of the age
group, except the two financial crisis periods. This implies that there has been
substantial rise in the labour force participation and in employment among people aged
50 and older, especially since 2005.
Figure 6.4 Changes in Labour force Participation, Employment and Unemployment among Workers Aged 50 + in South Korea, 2000-2014 (%)
Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year; Figures in Appendix 4.
156
Figure 6.5 Changes in the Growth Rate in Population, Labour force Participation and Employment among Workers Aged 50+ in South Korea, 2001-2014 (%)
Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year, Author’s calculation; Figures in Appendix 5.
The high rates of the labour force participation and of employment among older
workers in South Korea have been largely due to the high proportion of the self-
employed and/or workers engaging in agriculture. But, in recent years the number of the
self-employed has significantly fallen while the number of wage workers has
appreciably risen among people aged 50 years and older (Figure 6.6). The self-
employed have decreased by 5.3 percentage points, from 36.9 per cent in 2007 to 31.6
per cent in 2013, among people aged 50-59 years old and also by 6.7 percentage point,
from 50.1 per cent to 43.4 per cent, among those aged 60 years and over in the same
period. On the contrary, employees have increased during the same period from 54.3 per
cent to 61.6 per cent among people aged 50-59 years old and from 37.1 per cent to 45.8
per cent among those aged 60 years and over. However, older workers are more likely to
engage in irregular employment. The proportion of irregular workers is around 40 per
cent among older workers aged 50-59 years old and over 65 per cent among those aged
60 years and over, which is much higher than around 30 per cent, the proportion of
irregular workers among those aged 15-64 years old. In addition, recalling 53 years old,
the average age of retirement from a lifetime workplace, the changes in the type of
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employment implies that older workers who have once retired from a workplace and
seek a job are more likely to have an irregular one. While the proportion of regular
workers has risen from 57.4 per cent in 2007 to 62.9 per cent in 2013 and the percentage
of irregular workers has fallen from 42.6 per cent to 37.1 per cent in the same period
among those aged 50-59 years old, those percentages among those aged 60 years and
over have developed in reverse, being reduced from 34.0 per cent in 2007 to 32.5 per
cent in 2013 in regular workers and increased from 66.0 per cent to 67.5 per cent in
irregular workers in the same period.
Figure 6.6 Changes in Employment Status of Workers Aged 50+ in South Korea, 2007- 2013 (%)
Source: The National Statistical Office of Korea, Supplementary Results (by Type of Employment and for Non-wage Workers) of the Economically Active Population Survey [경제활동인구조사 (근로형태별, 비임금근로자) 부가조사], Every August in Each Year, Author’s calculation; Figures in Appendix 6.
Looking at the employment of older workers by industry, there are considerable changes
in the proportion of those engaging in agriculture and in business, personal, public
service and others, whereas the proportion of people engaged in wholesale and retail,
hotels and restaurants remians steady at around 20 per cent (Figure 6.7). The percentage
of workers aged 55-79 years old who are engaged in agriculture has dramatically
decreased from 33.6 per cent in 2005 to 19.2 per cent in 2014. In constrast, the
proportion of those engaging in business, personal, public service and others has
significantly increased from 25.3 per cent to 33.5 per cent during the same period. We
may not be able to affirm that these changes mean that the number of low-wage
employees has increased among older workers since business, personal, public service
and others cover a wide range of industries, including sewerage, waste management,
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and environmental industry (E), real estate and leasing service (L), professional
scientific and technical service (M), business facilities management and support
services (N), public administration and social security (O), education service (P), health
and social work (Q), arts, sports, recreation related service (R), repair and other personal
services (S), undifferenciated employment & production activities of households for
own use (T), and activities of extraterritorial organisations (U). However, Jung, S-M
(2011) assumes, based on her analysis of the employment features among older workers
with the raw data of the Economically Active Population Survey in 2010, that the
increase in business, personal, public services and other services among older workers
since 2005 is attributed largely to the growth in business facilities management and
support services (N), public administration and social security (O), and health and social
work sector (Q), all of which provide mostly low-wage jobs.3
Figure 6.7 Changes in Industrial Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%)
Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사 ], Every May in Each Year, Author’s calculation; Figures in Appendix 7.
159
In the same vein, the most remarkable change in occupational composition among older
workers is that the proportion of skilled agricultural, forestry, and fishing workers has
reduced from 31.3 per cent in 2005 to 17.8 per cent in 2014 while the percentage of
craft and equipment, machine operation and assembly workers has risen from 14.2 per
cent to 21.0 per cent during the same period, and the proportion of elementary workers
has been the most in the composition since 2009 (Figure 6.8). This implies the influx of
older workers into low-wage jobs. According to Jung, S-M’s (2011) cross analysis of
occupations and industries where older workers were in 2010, 82.8 per cent of older
workers in business facilities management and support services (N) was elementary
workers, and of those, 88.9 per cent was occupied with building cleaning or security
services. Further, the transportation (H) occupied the most (81.0 per cent) of the
category, electricity, transportation, communication and finance in industrial
composition among workers aged 55-79, and 83.0 per cent of older workers in
transportation sector was simple machine operation workers.
Figure 6.8 Changes in Occupational Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%)
Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사 ], Every May in Each Year, Author’s calculation; Figures in Appendix 8.
160
The wage level of older employees aged 50 and over sharply falls with age. Nam, J-R’s
(2014) analysis of older workers in the labour market with raw data of the
supplementary results (by Type of Employment) of the Economically Active Population
Survey [경제활동인구조사 (근로형태별) 부가조사] provides the average wages of age
groups, which allows to find the relative level of wages among older workers (Figure
6.9). The average monthly wage of employees aged 50-59 years old was 2,408,000 KR
won (£ 1,353.0 or $1,912.4 at the then monthly exchange rate) in March 2014, 94.0 per
cent of the average monthly wage of employees aged 30-49 years old. However, the
average monthly wages among those aged 60-64 years old and 65 and over were 61.7
per cent and 34.9 per cent respectively in the same year. The average hourly wages of
older workers, which are calculated by dividing the average monthly wage by hours
worked because people rarely know about their hourly wage and monthly pay is
collected as information about wage in most of survey data in Korea, are comparable
with the average monthly wages. It should be noted that older employees aged 50-64
years old have worked longer hours than employees aged 30-49 years old until very
recently, and thus their hourly wages have been less than those aged 30-49 years old,
except since March 2013 among employees aged 60-64. On the other hand, the average
weekly hours for which employees aged 65 and older worked has been significantly
reduced, and the gap of weekly hours worked between employees aged 65 and over and
those aged 30-49 has been growing.
Figure 6.9 Changes in the Ratios of Monthly Wage & Hourly Wage among Employees 50+ to among Those Aged 30-49 and Weerkly Hours Worked by Age Group in South Korea (%, hrs)
Source: The National Statistical Office of Korea, Supplementary Results (by Type of Employment) of the Economically Active Population Survey [경제활동인구조사 (근로형태별) 부가조사], Each Year; Recalculated by author based on figures from Nam, J-R (2014), pp.15-16; Original figures in Appendix 9.
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Figure 6.10 shows the percentage of older workers earning less than 50 per cent of the
median wage among wage workers aged 15 years old and over. It informs of the level of
income security among older workers which is generated from their wages. In 1987, the
proportion of low paid older employees aged 50-54 years old, 55-59 years old, and 60-
64 years old was 5.69 per cent, 6.43 per cent, and 6.64 per cent, respectively. They were
the same with or slightly below 6.64 per cent, the proportion of low paid employees
aged 15-64. However, the number of the low paid has grown rapidly, in particular,
among older workers. In 2012, the percentage of employees aged 50-54 years old, 55-59
years old, and 60-64 years old earning less than 50 per cent of the median wage was
13.17 per cent, 17.74 per cent, and 27.9 per cent, respectively, while the percentage of
employees aged 15-64 years old was 10.02 per cent. The proportion of low paid older
employees aged 50-64 years old has sharply decreased after the peak for the period from
2000 to 2007. However, it should be also noted that the gap in the proportion had been
much larger during the peak between older employees and employees aged 15-64, and
the gap after the peak still remains higher, except those aged 60-64 years old, than
before the peak. Moreover, since the data analysed in Figure 6.10 concern only
employees in organisations with more than 10 staff, it is likely that the proportion of
older employees earning less than 50 per cent of the median wage is larger in practice.
Figure 6.10 Changes in the Proportion of Older Employees Earning Less Than 50% of the Median Wage in South Korea (%)
Source: Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사], each year; recited from Ahn, J-K & Yoo, S-H (2015); Figures in Appendix 10.
0 5
10 15 20 25 30 35 40 45 50
19 87
19 88
19 89
19 90
19 91
19 92
19 93
19 94
19 95
19 96
19 97
19 98
19 99
20 00
20 01
20 02
20 03
20 04
20 05
20 06
20 07
20 08
20 09
20 10
20 11
20 12
50-54 years old 55-59 years old 60-64 years old 15-64 years old
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This brief review of Korean older workers in the labour market so far does not provide
convincing information on the proportion of minimum wage workers among older
employees, the proportion of older employees among minimum wage workers, or
changes in those proportions.4 However, figures on their employment status, industrial
composition, and occupational composition indicate that older workers have become
more prevalent in low paid jobs, and the figures regarding their wages indirectly support
the assumption that more older workers are becoming affected by the minimum wage.
In particular, recalling the fact that the level of minimum wage rates has been about 40
per cent of the median wage of full-time employees, the wage level among older
employees and the change in the proportion of older employees earning less than 50 per
cent of the median wage imply that older employees not only occupy significant portion
of minimum wage workers but also contribute to the growth of the share of those paid
less than the minimum wage.
One thing to add as regards the rise of low paid older workers is that this may be
interlinked with the increase in the unemployment of young people and in the rise in
female labour force participation. As the number of high-quality jobs have significantly
decreased, influenced by the IMF bailout programme, young people who largely
received higher education, unlike their parent’s generation, began to delay entering the
labour market until they got a permanent job in a large firm or in government. Most
small and medium-sized firms which have no capacity to meet young people’s needs
have been confronted by labour shortages and tended to hire older people and women.
As the labour market has dramatically changed since the early 2000s, and men’s
employment has become more insecure, many women who were anxious about
financial shortages in their families started to engage in the labour market. This seems
to have brought about a significant change in the perception of adult children’s support
for their parents. Women’s participation in the labour market triggered by the concern
over family income provided the adult children with a good excuse to refuse financial
support and caregiving for their parents. Accordingly, it would be assumed that older
people tend to be placed in a situation in which they have no choice but to take care of
themselves and participate in paid jobs much more actively than their predecessors.
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Further to the basic statistical information on Korean older workers, it would be useful
for understanding their status in the labour market to look at the scope and degree of
disadvantages and discrimination that they face. In Korea, the Act on Prohibition of Age
Discrimination in Employment and Elderly Employment Promotion [고용상 연령차별
금지 및 고령자고용촉진에 관한 법률] was enacted in 2008, amending the former
Employment Promotion for the Aged Act [고령자고용촉진법]. This Act prohibits
employers from discriminating against individuals on the basis of age regarding
recruiting, hiring, salary, education and training, placement, transfer, promotion,
retirement, and dismissal. Under the Act, an employee who has experienced
discrimination by age may file a petition with the National Human Rights Commission
[국가인권위원회]. The Commission investigates claims and recommend corrective
action to employers. If the employers fail to comply with the Commission’s advice
without a justifiable reason, and the discrimination is substantial, the Commission
notifies the cases to the Ministry of Employment and Labour [고용노동부] with non-
binding advisory opinions. The Ministry of Employment and Labour can issue an order
to employers to rectify the discriminatory treatment. Failure to comply with the
Ministry’s order may result in an administrative fine of up to 30 million Korean won
(about £ 20,000 or $ 25,000 at the exchange rate of June, 2019), and discriminatory
treatment in recruiting and hiring, in particular, may cause a criminal fine of up to 5
million Korean won (about £ 3,400 or $ 4,200 at the exchange rate of June, 2019),
regardless of the petition process through the National Human Rights Commission.
Since the Act on Prohibition of Age Discrimination in Employment and Elderly
Employment Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률] was
implemented, the number of petitions regarding age discrimination committed by
employers which were filed in the National Human Rights Commission has
significantly increased from 62 cases in 2008 to 138 cases in 2009, 196 cases in 2010,
and 151 cases per year on average between 2011 and 2013 (The National Human Rights
Commission of Korea [국가인권위원회], 2014). 1,214 cases of 16,912 petitions which
have been filed for discrimination with the Commission until 2014 were age
discrimination, and employment-related cases including recruiting (368 cases, 39.7%),
hiring (303 cases, 32.7%), wage (12 cases, 1.3%), non-wage reward (4 cases, 0.4%),
164
training (9 cases, 0.9%), placement (46 cases, 5.0%), promotion (16 cases, 1.7%),
retirement (38 cases, 4.1%), dismissal (65 cases, 7.0%) and others (26 cases, 2.8%)
accounted for 76. 5 per cent (928 cases) of all age discrimination cases (The National
Human Rights Commission of Korea [국가인권위원회], 2014).
Unfortunately, there is no data which allow us to overview the characteristics of age
discrimination in the Korean labour market. Moreover, studies of age discrimination
relating to employment and labour have recently emerged in the line of research on
ageism which started to be developed since 2010 (Kim, M-J and Yoon, K-Y, 2017).
Kim, D-S and Mo, S-H (2011) analysed 52 cases investigated by the National Human
Rights Commission [국가인권위원회] to find causes of age discrimination in
employment. They found that ageism, including stereotypes and discriminative
attitudes, is the most prominent and widespread factor to affect age discrimination. Kim,
D-S and Mo, S-H (2012) also surveyed 300 personnel managers in small and medium-
sized firms to figure out how personnel managers’ stereotypes of older workers affect
the managers’ discriminatory perceptions of older workers with regard to employment,
and found that the higher degree of stereotypes a personnel manager had, the stronger
his discriminatory perceptions of older workers were in terms of employment.
Empirical Studies about the Minimum Wage Effects
The effects of the minimum wage had rarely been explored in South Korea before the
end of the 1990s and began in earnest after the mid-2000s. A few empirical studies
include the effects of the minimum wage on older employees, particularly on their job
retention or new hires. Findings are not consistent as the ones in other countries are.
The existing studies about the minimum wage effects in Korea (Table 6.2) focus largely
on the employment effect, but there is no consensus on the issue among the research
findings. Kim, Y-S, Gwon, H-J, and Kim, J-J (2004), Lee, S-K (2007), Lee, B-H (2008),
Ahn, T-H (2009), Kang, D-U (2010), Kim, J-Y (2011), Kim, Y-S (2011), and Hwang, S-
J (2015) reported no significant disemployment effects or positive effects. Kim, Y-S,
Gwon, H-J, and Kim, J-J (2004) who conducted a time-series analysis using monthly
data from the Economically Active Population Survey [경제활동인구조사] for the
165
period of January 1988 to March 2004 found that the minimum wage had no significant
effect on employment and even increased employment among women and some age
groups depending on explanatory variable manipulation. Lee, S-K (2007) who
examined the change in employment by job and by organisation as a consequence of the
change in the real minimum wage, using the supplementary data of the Economically
Active Population Survey [경제활동인구조사 부가조사] for the period of 2000-2006
and the Workplace Panel Survey(WPS) [사업체 패널조사] for the period of 2003-2004
also found neutral or positive employment effects, based on a fixed-effects model as
well as a simple regression model. Similarly, Lee, B-H (2008), using the supplementary
data (by Type of Employment) of the Economically Active Population Survey [경제활동
인구 (고용형태별) 부가조사] and the Economically Active Population Survey [경제활
동인구조사] for the period of 2004-2005, concluded that the minimum wage did not
have disemployment effects, in particular, among women, younger workers, and older
workers, from his analysis with difference-in-difference of the change in employment
among employees who earned a minimum wage and those who made a little more than
the minimum wage. Ahn, T-H (2009) explored the odds of job retention among wage
workers after an increase of the minimum wage through a linear probability model with
fixed-effects using the Korean Labour and Income Panel Study (KLIPS) [한국노동패널
조사] for the period of 2001-2007 and did not find any considerable negative effects on
employment. Kang, D-U (2010) examined the effect of the minimum wage on the
employment rate of employees with disabilities using Survey on the Employment Status
of the Disabled in Business 2008 [2008년 사업체 장애인고용 실태조사]. He found
through a quasi-experimental analysis with dummy variables and time-series analysis
that if a minimum wage raises the wage of employees with disabilities by 1 percentage
point, their employment will decrease by 0.58 percentage point in the short term, which
was not a considerable amount, and moreover, no significant disemployment effect was
found in the long term. Kim, J-Y (2011), who conducted an analysis of the odds of job
retention among wage workers after an increase in the minimum wage using the KLIPS
[한국노동패널조사] for the period of 1998-2008 and probit models plus a linear
probability model with fixed-effects and random-effects, also found no statistically
significant disemployment effect. Likewise, Kim, Y-S (2011), who examined
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Table 6.2 Empirical Studies about the Effects of the Minimum Wage in South Korea
Study Data sources Outcome measures/Method Main results Other remarks Employment Kim, Y-S, Gwon, H-J, & Kim, J-J 2004
Economically Active Population Survey (monthly) [경제활동인구조사 (월별)], Jan. 1988 – Mar. 2004
Time-series analysis: OLS (Ordinary least squares)
model, GLS (Generalised least squares) model, ARMA (Autoregressive- moving-average) model
No significant employment effect and even positive employment effects among women and some age groups, such as employees aged 25-54 years old and those 55 and older, depending on explanatory variables, the ratio of minimum wages to mean wages and logarithms of minimum wages
Lee, S-K 2007
Supplementary data of the Economically Active Population Survey [경제활동인구조사 부가조사], 2000-2006;
Workplace Panel Survey (WPS) [사업체 패널조사], 2003-2004
Fixed-effects models; Simple regression model
Neutral employment effects among the employees as a whole and even positive effects among the low paid depending on explanartory variables, logarithm of a real minimum wage divided by a real mean wage each year by job unit and logarithms of a real minium wage
Lee, B-H 2008
Economically Active Population Survey [경제활동인구조사] & supplementary data (by type of employment) of the Economically Active Population Survey [경제활동인구조사 부가조사 (고용형태별)], 2004-2005
Quasi-experimental analysis: Difference-in-difference
No statistically significant positive or negative effects on job retention and new hires among women, younger workers aged 15-24 years old and older workers aged 55 years old and over as well as the employees as a whole
Jeong, J-H & Lee, B-H 2008
Economically Active Population Survey [경제활동인구조사] & the Wage Structure Survey [임금구조기본통계조사], 2000-2006
Time-series cross-section analysis:
Poolded OLS model, Fixed-effects model, PCSE (Panel-Corrected
Standard Errors) model;
Quasi-experimental analysis: Difference-in-difference
Negative employment effects among younger workers aged 20-24 and older workers aged 55 and older compared to positive effects among those aged 25- 54 years old;
No statistically significant positive or negative effects
on job retention and new hires in any age group as well as among the employees as a whole
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Nam, S-I 2008
Data on caretakers of 132 apartment complexes around the capital area, 2007
Reduced form model: Random-effects model
Increase in wage by over 10 % but decrease in employment by 3.5 % and working hours by 13.5% caused by the extended enforcement of the minimum wage to surveillance or intermittent work
Those engaged in surveillance or intermittent work only
Ahn, T-H 2009
Korean Labor and Income Panel Study (KLIPS) [한국노동패널조사], 2001-2007
Fixed-effects model No significant employment effect
Kim, W-Y 2010
Time-series data from the Occupational Employment Statistic (OES) [산업·직업별 고용구조조사], 2000-2008
Time-series analysis: Arellano-Bond difference
GMM(Generalised Method of Moments)
1.6% decrease in employmnet among female workers aged 15-24 years old ; 1.1% decrease among male workers aged 15-19 years old; no significant employment effect among younger workers as a whole
Younger employees aged less than 25 years old only
Kang, D-U 2010
Survey on the Employment Status of the Disabled in Business 2008 [2008년 사업체 장애인고용 실태조사];
Unofficial inside data of the Minimum Wage Council and the Ministry of Employment & Labor, 2000-2008
[Short-term effect] Quasi- experimental analysis:
Multiple regression model [Long-term effect] Time-
series analysis: Correlation between
employment rate among the disabled and increase rate in the minimum wage
In short term, 0.58% decrease in employment among the disabled by 1% increase in their wage, which is not considerable amount; but , in long term, no significant disemployment effect
Employees with disabilities only
Kim, J-Y 2011
KLIPS, 1998-2008 Quasi-experiment analysis: Pooled Probit model, Fixed-effects model, Random-effects model
No statistically significant employment effects
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Kim, Y-S 2011
Economically Active Population Survey (monthly) [경제활동인구조사 (월별)], Jan. 1990 – Apr. 2010
Time-series analysis; OLS model, GLS
(Generalised Least Squares) model, ARMA (Autoregressive-Moving- Average) model
No significant disemployment effect and even positive effects on employment among those 15-19 years old and employees aged 25-54 (10% significance level) during the period of 1990-2011; positive employment effects after 2000 (5% significance level), except among those aged 55 and older
Kim, D-I 2012
Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사], 2008-2010
Time-series analysis: First-difference
6.6% reduction in new hires among the bottom 5% wage bracket; 3.8% reduction among of male younger workers aged below 29 years old at the bottom 5-15% wage bracket (5% significance level); 2.7% reduction among male employees aged 30-54 years old at the bottom 5-15% wage bracket (5% sig. level); 2.0% (10% sig. level) and 2.9% (5% sig. level) reduction among female workers aged below 29 years old at the bottom 5 % and 5-15% wage brackets, repectively; 34.7% reduction among female older employees aged 55 and older at the bottom 5% wage bracket (10% sig. level); 9.3% reduction in small companies with below 5 employees (10 % sig. level); 13.8% reduction in mining and manufacturing sector (5% sig. level); and 11.7% reduction in whole sale & retail and restaurant & hotels sector (1 per cent sig. level), all of which are caused by 1% increase in the minimum wage
Kim, M-S, Kim, Y-M, & Park, T-S 2013
KLIPS, 2000-2008 Probit model 3.7% decrease in employment among aged 24 years old or less with a high school deploma by a 10% increase in the real minimum wage
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Kim, Y-M 2014
Supplemetary data (August) of the Economically Active Populaton Survey [경제활동인구조사 8월 부가조사], 2001-2014
Probit model Increase in wage among the employees as a whole by increase in the minimum wage, higher increase in service sector than in manufacturing;
Reduction in odds of becoming an employee on contract for one or more years, higher reduction in manufacturing than in service sector
Employees in manufacturing and service industries only
Hwang, S-J 2015
Wage Structure Survey [임금구조기본통계조사], 2009-2012 & 2002-2008
Fixed-effects model No statistically significant employment effects
Wage Mobility Kim, J-G 1999
Wage Structure Survey [임금구조기본통계조사], 1988-1995
Simulation analysis Less than 0.03% increase in the share of the bottom 20% in the wage distribution until 1993; no changes of the share after 1993
Kang, B-G & Sung, H-Y 2009
KLIPS, 2001-2007 Wage growth model Increase in both the average wages of the lowest, two wage brackets and the household earnings of, in particular, the lowest houshold earned income bracket
Jeong, J-H 2011
Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사], 2007-2009; KLIPS, 1998-2008
Comparison between minimum wage rates and hourly wages calculated by ordinary monthly wages and hours worked;
OLS model, Fixed-effects model
Spikes in the minimum wage and spillovers into the upper wage brackets with reduction in the ratio of the 10th and 90th percentiles of the wage distribution
Kim, Y-M & Kim, M-S 2013
Supplementary data (August) of the Economically Active Population Survey, 2004, 2010
Counterfactual wage distribution model
An ambiguous effect on female wage inequality Female employees only
Seong, J-M 2014
Local Area Labor Force Survey [지역별 고용조사], 2008-2012
OLS models, Fixed-effects models
Reduction in wage ineaulqity for lower and middle wage brackets with the size of reduction effects declined from lower to middle wage brackets
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Family income & Poverty Jeong, J-H 2005
KLIPS, 2003 Ratios of beneficiary working households per household income bracket
More beneficieries among the higher household income brackets than among the bottom
Lee, S-K 2013
KLIPS, 2005-2010 Multi-level, multi-nominal logit model
More likely to lift the working poor out of poverty and not adversely related to their job retention
Seo, J-W & Jeong, J-O 2014
KLIPS, 2003-2008 Binary probit model with random-effects
Higer increase in minimum wage, less odds of falling down below the poverty line
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employment effects for twenty years from January 1990 to April 2010 using a time-
series analysis with monthly data of the Economically Active Population Survey [경제
활동인구조사], reported that there have not been disemployment effects since the
minimum wage was introduced in South Korea, and rather that positive effects were
found after 2000. Most recently, Hwang, S-J (2015), who examined the change in
employment among low-wage workers by sex, age, education, organisation size, and
industrial sector, using the Wage Structure Survey [임금구조기본통계조사] for two
periods, 2009-2012 and 2002-2008, found that when the minimum wage increased, no
decline in employment was statistically significant.
However, Jeong, J-H and Lee, B-H (2008), Nam, S-I (2008), Kim, W-Y (2010), Kim,
D-I (2012), Kim, M-S, Kim, Y-M, and Park, T-S (2013), and Kim, Y-M (2014) all
reported adverse employment effects. Using panel data which were rebuilt with the
Economically Active Population Survey [경제활동인구조사] and the Wage Structure
Survey [임금구조기본통계조사] for the period of 2000-2006, Jeong, J-H and Lee, B-H
(2008) found that the minimum wage had negative effects on employment among
younger workers aged 20-24 and older workers aged 55 and older whereas it had
positive employment effects among those aged 25-54. They also examined the
minimum wage impact on job retention and new hires through a quasi-experimental
model using panel data which were rebuilt with the supplementary data of the
Economically Active Population Survey [경제활동인구조사 부가조사] and the
Economically Active Population Survey [경제활동인구조사] for the period of 2004-
2005, and reported that there was no statistically significant positive or negative effects
in any age group as well as among wage workers as a whole. Nam, S-I (2008) analysed
the employment effects of the introduction in 2007 of the minimum wage rate for those
engaged in surveillance or intermittent work. He used data about caretakers who worked
in 132 apartment complexes around the capital area and found that the newly enforced
rate for surveillance or intermittent work increased their wage by over 10 per cent but
decreased employment by 3.5 per cent. Kim, W-Y (2010) explored the effects of the
minimum wage on employment among younger employees aged 15-24 and those aged
15-29. He conducted a time-series analysis of the data which were rebuilt by the
researcher for 15 regions from 2000 to 2008 using the Occupational Employment
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Statistic (OES) [산업·직업별 고용구조조사] and reported that a 10 per cent increase in
the minimum wage reduced employment by 1.6 per cent among female younger
workers aged 15-24 and by 1.1 per cent among male employees aged 15-29 while
disemployment effects were not found among younger workers as a whole. Using the
Survey on Labour Conditions by Type of Employment [고용형태별 근로실태조사] for
the period of 2008-2010, Kim, D-I (2012) explored whether an increase in the minimum
wage decreased the hiring of new employees among the low paid and found that an 1
per cent increase in the minimum wage was likely to restrain new hires among the
bottom 5 per cent wage bracket in the wage distribution by 6.6 percentage point at a 10
per cent significance level. He added that an 1 per cent increase in the minimum wage
reduced new hires of male younger workers aged below 29 years old at the bottom 5-15
per cent wage bracket by 3.8 per cent at a 5 per cent significance level, of male
counterparts aged 30-54 years old by 2.7 per cent at the same significance level, of
female older workers aged below 29 years old at the bottom 5 per cent wage bracket by
2.0 per cent at a 10 per cent significance level, of female counterparts aged 55 and older
by 34.7 per cent at the same significance level, of female employees aged below 29
years old at the bottom 5-15 per cent wage bracket by 2.9 per cent at 5 per cent
significance level, of small companies with below 5 employees by 9.3 per cent at a 10
per cent significance level, of mining and manufacturing sector by 13.8 per cent at a 5
per cent significance level, and of wholesale and retail and restaurant and hotels sector
by 11.7 per cent at a 1 per cent significance level. Kim, M-S, Kim, Y-M, and Park, T-S
(2013) examined employment effects of the real minimum wage by the size of region,
age, and education, using the KLIPS for the period of 2000-2008 and a probit model.
Their findings show that a 10 per cent increase in the real minimum wage reduced the
probability of employment among those aged 24 or less with a high school diploma by
3.7 per cent at a 1 per cent significance level. Kim, Y-M (2014) explored the effects of
the minimum wage on wage distribution and employment in manufacturing and service
sectors, using the supplementary data (August) of the Economically Active Population
for the period of 2001-2014 and a probit model. The findings show that an increase in
the minimum wage raised the wage level in both sectors with higher rise in service
industry than in manufacturing but reduced the odds of becoming an employee on
contract for one or more years with higher decline in manufacturing than in the service
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sector.
Another research stream has focused on whether minimum wage policy has wage or
earnings distribution effects or poverty-alleviating effects as its own purpose. Kim, J-
G’s (1999) simulation analysis is an early study about the distribution effect of the
minimum wage. It used the Wage Structure Survey [임금구조기본통계조사] for the
period of 1988-1995 and found that the minimum wage increased the share of the
bottom 20 per cent wage bracket in the distribution of the total earnings by less than
0.03 percentage point, and the change in the share after 1993 was near to zero. He
concluded that the minimum wage made no significant distributional improvement in
wages, and the near-zero effect after 1993 was due to the rate of increase in the
minimum wage which fell into 8.6 per cent in 1993 from 18.2 per cent on average for
the previous four years and was kept on under the wage growth rate. However,
subsequent studies show different findings as regards the distributional effects. Using
the KLIPS for the period of 2001-2007, Kang, B-G and Sung, H-Y (2009) compared the
distribution effects of the Earned Income Tax Credit (EITC) and the national minimum
wage. In terms of the minimum wage effect, they found that the minimum wage
significantly increased both the average wages of the lowest, two wage brackets and the
household earnings of the lowest household earned income bracket. They concluded
that the importance of the statutory minimum wage in Korea as the means of income
support for the working poor was not weakened, particularly as long as the eligibility
and the subsidy rate of the EITC were highly limited. Jeong, J-H (2011) reported similar
findings and verified the existence of spikes in the minimum wage through a
comparison between minimum wage hourly rates and hourly wages calculated using the
information on employees’ ordinary monthly wages and hours worked from the Survey
on Labour Conditions by Type of Employment [고용형태별 근로실태조사] for the
period of 2007-2009 and also of spillovers into the upper wage brackets in the wage
distribution using the KLIPS for the period of 1998-2008. He found that increases in the
minimum wage reduced the proportion of the 10th and 90th percentiles of the wage
distribution and raised mainly the wage of the middle percentile. Seong, J-M (2014),
who used the Local Area Labour Force Survey [지역별 고용조사] for the period of
2008-2012, also found that the minimum wage reduced wage inequality for lower and
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middle brackets of the wage distribution even though the effect declined as the wage
rank was higher from lower to middle.
Jeong, J-H (2005), Lee, S-K (2013), and Seo, J-W and Jeong, J-O (2014) focused on
family income distribution and poverty alleviation effects. Jeong, J-H (2005) explored
whether the minimum wage affects the working household income distribution, using
the KLIPS of 2003. He found that the percentage of beneficiaries from an increase in
the minimum wage among the bottom household income bracket was much lower than
the one of their counterparts among the higher income brackets and concluded that
minimum wage policy was a blunt instrument to improve income distribution among
the working household. However, subsequent studies provided conflicting results. Lee,
S-K (2013) examined whether an increase in the minimum wage alleviates poverty
among the working poor. Using the KLIPS for the period of 2005-2010 and the
multilevel multinomial logit model, he analysed the transition from the working poor to
the working non-poor, the unemployed, or the economically non-active and found that
an increase in the minimum wage was more likely to lift the working poor out of
poverty as well as not adversely related to job retention. Seo, J-W and Jeong, J-O (2014)
also studied the effects of minimum wage policy on reducing poverty rates using the
KLIPS for the period of 2003-2008. They concluded, based on their results from a
binary probit model, that a higher hourly minimum wage can reduce the odds of an
individual’s falling down below the poverty line.
Conclusion
This chapter has reviewed the national minimum wage and older workers in the labour
market in South Korea. The statutory minimum wage which was introduced in 1987 for
only manufacturing companies with ten employees or more has been extended to all
organisations with one employee or more since 2000 after several amendments. It is
adjusted annually by the government’s approval for a rate which the Minimum Wage
Commission, a tripartite consultation body consisting of workers, employers, and public
interest representatives proposes in the light of criteria stated in the Minimum Wage Act
and national economic conditions. The level of the minimum wage is controversial
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because it varies considerably with reference wages, which implies wage inequality.
Meanwhile, older workers are a vulnerable group in the Korean labour market.
Although a growing number of older workers have been economically active, many of
them take part in irregular work, mainly in business facilities management and support
service, public administration and social security, health and social work, and wholesale
and retail and hotels and restaurants, mostly as elementary workers, service and sales
workers, or simple machine operating workers. The wage level of older employees aged
50 years old and over dramatically decreases with age, and the percentage of older
employees paid less than 50 per cent of the median wage significantly exceeds the one
of their counterparts aged 15-64 years old by 3.15 per cent at least and by 17.88 per cent
at most. All these facts refer to the high probability of the increase in the proportion of
older employees who are paid low and further likely to be affected by the minimum
wage. Despite their vulnerability in the labour market, older workers have not been
taken much attention in the research of the minimum wage effects. Some empirical
research includes the effects of the minimum wage on older workers, mostly on their
employment, in Korea but the findings are not consistent with each other.
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Notes
1 Those engaged in surveillance or intermittent work were legally allowed to be paid 30 per cent less than the minimum wage in 2007, 20 per cent less from 2008 to 2011, and 10 per cent less from 2012 to 2014. As the curtailment clause applied to them was removed from the Minimum Wage Act, they have to be paid a normal minimum wage rate from 1st of January 2015. 2 From 1994 to 2006, a new minimum wage rate had been announced by the 5th of August every year and taken effect from the 1st of September in the same year. 3 In particular, the increase in public administration and social security seems to be due to ‘the Work for Hope [희망근로]’, a government-funded employment project which provides low- wage, temporary jobs to people aged 18 years old and over who are in a low-income family and vulnerable in employment. 4 In order to get the information on the portion of minimum wage workers among older employees or the percentage of older employees among the minimum wage workers, raw data of supplementary results (by the Type of Employment) of Economically Active Population Survey should be analysed. However, there is an access limit to raw data, and thus the review of Korean older workers in the labour market is based on data provided by Korean Statistical Information Service (KOSIS) and by previous study which was analysed with raw data.
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Chapter Seven The Effects of the Minimum Wage on Older Workers in South
Korea
Introduction
This chapter presents the results of quantitative analyses which explored the two
research questions, how the minimum wage affects the distributions of wages and family
earnings, employment and exits from in-work poverty among older workers and whether
different rates of increases in the minimum wage have different effects among older
workers. As mentioned in Chapter Five, the two questions were simultaneously
examined by subtopic for employees aged 55 and older, using the KLIPS and statistical
methods and comparing the two five-year periods of Roh, Moo-Hyun government
(2003-2008) with 10.6 per cent of average rate of increase in the minimum wage and
Lee, Myung-Bak government (2008-2013) with 5.2 per cent of average growth rate.
After reviewing the basic characteristics of the cases selected from the KLIPS, the
empirical results are presented in each subtopic section. The statistical methods and
variables used for each statistical analysis are summarised in Appendix 11.
Basic Characteristics of Data
Table 7.1 shows the number and main characteristics of employees aged 55 and older
selected from wave 7 in 2004 to wave 16 in 2013 of the KLIPS. The number of cases
significantly increased since 2009 as a result of the supplementation of households in
twelfth wave. A remarkable feature of the sample is that the ratio of female older
employees has evidently grown while the ratio of male counterparts has declined since
2009. This corresponds with another feature that the proportion of temporary jobs has
risen while the proportion of permanent jobs fallen since 2009. These are largely due to
the combination of the replacement of irregular jobs for permanent ones and women’s
participation in the labour market, particularly among 40s and older having much
financial burdens in households after the global financial crisis in 2008 which
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accelerated a big change in Korean economy and labour market. The mean and median
ages which were slightly higher for the second five-year period than for the first five-
year period reflect the gradual adjustment in the labour market to rapid population
ageing in South Korea. However, in practical terms, it is likely that older workers
flowed into non-regular, temporary jobs by government-driven public work projects
after the financial crisis have led the small increase in the average ages among older
employees aged 55 and older. In terms of the level of education obtained, the percentage
of those with a bachelor’s degree visibly decreased in the second five-year period
compared to the first five-year period while the ratios of those with high school diploma
and less, except no education, were kept relatively stable over the ten years. This could
mean that facing a career transition, older workers with a bachelor’s degree were more
likely to choose at a point in time a transition to self-employment or an exit from the
labour market based on their better financial preparation for later life, rather than to take
low paid jobs in the harsher labour market conditions after the global financial crisis in
2008. In contrast, those with qualifications below a bachelor’s degree seem to have been
more likely to seek being employed, even in low paid jobs, for financial reasons. Such
speculation is based on the assumption that low paid jobs are dominantly open for older
workers in a very transitional period of their careers. The large gaps between the mean
and the median of hourly wages and of household earnings per capita and the high
proportion of those affected by the minimum wage and of working poor, which are
possibly even underestimated with the loss of cases in calculation required to use two
different datasets for one year, support the assumption to some degree and imply the
financial needs prevailing among older employees. The majority of the older employees
were married. However, the proportion of married employees decreased whereas the
share of separate, divorced, or widowed counterparts increased, notably in the second
five-year period. The older employees were chiefly householders, and their proportion
was noticeably high in two metropolitan cities, Seoul and Busan, and Gyeonggi-do, a
large province nearest to Seoul, in which various small and medium-sized firms have
developed. The number of family members among the older employees’ households
also decreased slightly during the second five-year period.
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Table 7.1 Characteristics of 55+ Employees, 2004-2013
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Case 457 463 486 521 579 774 828 897 1,001 1,070 Sex (%)
Male 67.0 68.7 68.1 64.3 64.9 62.0 62.0 59.5 59.4 59.3 Female 33.0 31.3 31.9 35.7 35.1 38.0 38.0 40.5 40.6 40.7
Age Mean 60.70 60.84 60.77 60.89 61.03 61.89 61.97 62.04 61.96 62.26
Median 60.00 60.00 59.00 59.00 60.00 60.00 60.00 61.00 60.00 61.00 Education (%)
No Education 9.4 9.1 8.0 6.7 6.2 6.3 6.0 5.2 4.3 3.4 Elementary School 33.5 32.4 29.8 31.3 29.0 32.6 31.4 31.4 28.3 27.9
Middle School 17.9 21.0 20.2 20.9 19.9 21.6 23.2 23.4 23.6 23.3 High School 26.5 24.2 28.6 26.9 29.7 28.0 27.3 27.4 30.4 31.1
2-year College 0.4 1.1 1.2 1.3 2.4 1.7 2.2 3.0 3.1 3.1 University 9.4 9.5 9.5 10.4 10.7 7.8 7.9 7.0 7.4 8.3
Graduate School 2.8 2.8 2.7 2.5 2.1 2.1 2.1 2.5 2.9 2.9 Marital Status (%)
Never Married 0.2 0.2 0.0 0.0 0.2 0.9 1.2 0.9 1.2 0.8 Married 80.3 80.1 79.0 78.5 78.4 74.4 74.6 73.9 74.1 75.1
Separate/Divorced/Widowe d
19.5 19.7 21.0 21.5 21.4 24.7 24.2 25.2 24.7 24.0
Householder (%) 78.6 79.0 80.0 79.1 78.8 78.2 77.8 76.3 75.4 74.7 N of Household Members
Mean 3.1 3.1 3.1 2.2 2.9 2.8 2.7 2.6 2.6 2.7 Median 3.0 3.0 3.0 2.0 3.0 3.0 3.0 2.0 2.0 3.0
Type of Employment (%) Permanent 60.8 58.5 58.4 57.6 55.4 49.1 47.8 46.2 48.0 47.3 Temporary 14.7 14.5 16.0 15.7 18.7 24.9 25.6 26.1 27.4 28.4 Daily Hire 24.5 27.0 25.5 26.7 25.9 26.0 26.6 27.8 24.7 24.3
Region (%) Seoul 26.3 26.8 28.0 25.7 27.3 24.7 23.7 22.3 22.7 22.2 Busan 11.2 11.0 9.7 9.6 9.3 9.3 9.2 9.4 10.1 9.1
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2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Region (%) Continued Daegu
5.9 6.5 5.6 5.6 4.7 4.7 6.2 6.2 5.0 6.0
Daejeon 3.7 4.1 3.9 4.4 4.0 3.1 3.4 4.1 3.7 2.9 Incheon 4.8 4.3 5.3 6.0 5.9 4.9 5.9 5.6 5.8 6.4
Gwangju 3.7 5.0 4.7 4.2 2.8 2.1 2.5 2.7 2.3 2.7 Ulsan 1.8 2.2 2.5 1.9 2.6 2.3 2.3 2.2 3.0 2.8
Gyeonggi-do 17.7 17.3 17.9 18.2 18.7 16.9 15.6 17.9 18.5 18.7 Gangwon-do 1.3 0.9 1.2 1.7 1.6 2.5 2.3 2.1 2.3 2.6
Chungcheongbuk-do 3.3 2.6 3.9 3.8 3.6 3.5 4.0 4.8 4.2 3.9 Chungcheonnam-do 2.0 2.4 2.1 3.3 3.5 4.4 5.4 5.5 5.1 5.3
Jeollabuk-do 6.3 5.0 4.3 5.0 3.8 4.3 3.7 3.8 3.8 4.1 Jeollanam-do 2.4 2.8 2.1 2.5 2.6 4.0 3.4 2.6 2.8 3.1
Gyeongsangbuk-do 3.9 3.2 3.3 1.7 2.9 4.5 5.0 4.1 4.3 3.9 Gyeongsangnam-do 5.7 6.0 5.6 6.3 6.9 8.8 7.2 6.5 6.2 5.7
Jeju - - - - - 0.1 0.2 0.2 0.3 0.5 Hourly Wage (\)a
Mean 6,864.64 6,941.23 7,367.03 8,532.00 8,059.75 7,475.22 7,817.29 8,261.84 8,615.62 9,273.03 Median 3,873.67 4,606.53 4,798.46 5,150.35 5,289.91 4,975.64 5,374.28 5,719.77 6,184.69 6,909.79
Yearly Household Earnings per Capita in a Household (\)a
Mean 16,534,977 19,091,334 19,932,451 22,331,819 19,275,246 21,298,915 21,804,941 24,749,189 24,470,673 25,850,291
Median 12,908,588 15,900,000 16,161,017 17,464,846 15,467,214 16,970,563 17,320,508 19,890,914 20,859,650 21,550,000 Proportion Affected by Minimum Wage b
19.7 24.9 25.1 27.8 23.1 20.8 25.9 26.7 25.1 24.7
Proportion of Working Poor c
25.4 24.6 28.8 25.3 27.8 26.9 28.6 27.2 23.9 21.9
Source : KLIPS data Wave6(2003) ~ Wave17(2014) Note: a. ‘\’ refers to Korean currency, won. b. This is the proportion of those who were employed in the concerned year and were paid in the previous year less than the minimum wage rate of the concerned year. c. The propotion is the percentage of those who were employed in the concerned year and whose yearly household income per capita calculated by the information collected one year later
was less than 60 per cent of its median for all employees.
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Minimum Wage Effects on the Wage Distribution
The effects of the minimum wage on the distribution of wages among older employees
were examined with respect to three sub-questions, whether an increase in the minimum
wage creates a spike at the point of the minimum wage, whether the increase has a
spillover effect, raising wages of those who were already paid above a new minimum
wage rate, and whether the increase reduces the wage gap in the wage distribution
among older employees. A spike at the point of the minimum wage was graphically
assessed by plotting the kernel density estimates of log hourly wage minus log
minimum wage for each employee aged 55 and older for each year, where a zero
indicated that the employee earned the minimum wage rate of the year. The hourly wage
for each individual was derived with monthly pay and average weekly working hours
((monthly pay*10,000*12)/(weekly working hours*52.1)). Figure 7.1 shows that spikes
at or around the minimum wage were consistently found over the years in each five-year
period. This suggests that the minimum wage had some effects to raise the wages of
those who previously earned less than the minimum wage of the year unless the rate of
increase in the minimum wage was lower than the rate of increase in bargaining wages,
and if there was no clue as to a sharp rise in newly created jobs paying around the
minimum wage.
Figure 7.1 Wage Distribution of 55+ Employees, 2004-2008 and 2009-2013
Source: KLIPS data wave7(2004) ~ wave16(2013)
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Despite the spike at the minimum wage, no distribution was either truncated or thinned
out in the left tail in both five-year periods so that a large proportion of older workers
remained being paid less than the minimum wage in all the years. This might be
attributed mostly to noncompliance of small businesses hiring mature workers even
though it cannot be verified with evidence since there are no official data to identify the
size of noncompliance in South Korea. Another noteworthy factor with regard to the
large portion of older employees below zero in the wage distribution would be the
application of reduced minimum wage rates to those employed for surveillance or
intermittent work from 2007 to 2014. Considering the fact that surveillance or
intermittent work belongs to elementary jobs in which over 25% of older workers aged
55-79 are engaged as seen in Chapter Six, a significant number of mature workers paid
a bit less than the minimum wage are expected to have relied on the curtailed minimum
wage rates legally approved. A further consideration could be the unconventional
avoidance of paying a minimum wage, particularly among transportation companies.
Many employees engaged in transportation, such as taxi drivers, have to pay a great deal
of their daily earnings to their companies and then they can keep the rest. Although
employers offer a small basic pay, the employees’ salary relies mostly on the deducted
daily earnings which employers have neither rights nor duties for regardless of how
much they are. Since the amount that employees have to turn over to the companies is
relatively high, there would be a significant number of drivers who earn less than the
minimum wage. Based on the fact that older workers are largely engaged in simple
operative jobs in the transportation sector, such as driving, as seen in Chapter Six, the
unconventional avoidance of paying the minimum wage among transportation
companies could partly explains the lower part below zero in the wage distribution.
Spillovers and the reduction of the wage gap were examined, using OLS and fixed-
effects models in which the fraction affected and the fraction newly affected by region
were employed for an increase in the minimum wage, and the change in employment
rate of employees aged 55 and older by region were controlled, as mentioned in Chapter
Five. For the test of spillovers, the dependent variable, the changes in the10th, 25th, 50th,
75th, and 90th percentiles of log hourly wages among employees aged 55 and older by
region was computed by subtracting the various percentiles of log hourly wages before
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an increase in the minimum wage from the percentiles after the increase for each region.
In the models, it was hypothesized that the percentiles of log hourly wages among
employees aged 55 and older would increase up to a certain percentile as the fractions
of the older employees affected by an increase in the minimum wage increased. This
hypothesis was based on the mainstream economic theories’ predictions about the spike
and spillover effects of the minimum wage. The models assumed that regional
difference in the fractions of older employees affected by an increase in the minimum
wage reflected the regional wage differentials, and this could redeem the limitation of
no comparison group which was not affected by an increase in the minimum wage. It
was also assumed that an increase in the minimum wage in a year would only affect the
wage distribution of the corresponding year.
The results for the changes in the various percentiles of log hourly wages are presented
in Panel A of Table 7.2. The distributional effects were clearly different between the two
periods. For the first five-year period with one of the highest minimum wage growth
rates, positive and significant correlations between the changes in the 25th, 50th, and 75th
percentiles of log hourly wages and the fraction of employees who were previously paid
less than a new minimum wage rate were found. The positive and significant correlation
was also shown in the change in the 10th percentile of log hourly wages, but at the same
time, the other indicator of an increase in the minimum wage, the fraction newly
affected was negatively correlated with the change at a significance level of 0.1. These
indicate that the increases in the minimum wage for the first five-year period were
responsible for the increases in the 25th, 50th, and 75th percentiles of log hourly wages
among employees aged 55 and older. Meanwhile, for the second five-year period with
the lowest minimum wage growth rates, only the change in the 50th percentile of log
hourly wage was positively correlated at a significance level of 0.1 with the fraction of
all older employees who were previously paid less than a new minimum wage rate. As
in the first five-year period, positive and negative correlations were simultaneously
found between the change in the 10th percentile of log hourly wages and the fraction
affected and between the change and the fraction newly affected, respectively. Given
these results, and the magnitude and statistical significance of the coefficient for the 50th
percentile of log hourly wages, it is suggested that the increases in the minimum wage
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for the second five-year period had a marginal effect on the distribution of wages at the
50th percentile. The changes in employment rates for employees aged 55 and older
included as a control variable for differing labour-market trends across regions had little
influence on the estimated models for each of the two five-year periods.
An interesting point from the results is that the fraction newly affected was negatively
correlated with some of the various percentiles of log hourly wages whereas the fraction
affected was positively correlated with most of the percentiles. The negative correlation
of the fraction newly affected was found in more percentiles of log hourly wages for the
second five-year period, although the coefficient for the 10th percentile of log hourly
wages was statistically significant for both five-year periods. These contrasting effects
of the two indicators would suggest that employers who hire older workers are
pressured to increase wages by the difference between the lowest wage that they paid
and a new minimum wage rate, rather than the difference between an old and a new
minimum wage rates, but they marginally increase wages of their older employees when
both differences are relatively not large due to a small increase in the minimum wage.
The opposing effects of the two indicators can be assumed as a unique feature of the
impact of the minimum wage on the wage distribution among older employees in as
much as the same explanatory variables did not have opposite effects on the various
percentiles of wages for all employees during the period of 1998-2008 in Jeong J-H’s
(2011) analysis. This feature seems to come, ironically from the fact that older
employees’ wage level in Korea is generally low, and the proportion of older employees
who earn less than 50 per cent of the median wage is not comparable to the proportion
of their counterparts among all employees. Older employees are more likely to be
exposed to employers’ tactical adjustment to their own wage floor along with the
changes in the minimum wage.
Some differences in significance and direction between the OLS models and the fixed-
effects models were found, and the relationship was somewhat attenuated in the OLS
models than in the fixed-effects models for both five-year periods. In terms of goodness
of fit, the results of F-tests in which the joint significance of the fixed-effects intercepts
were tested showed that the OLS models provided better fit than the fixed-effects
models for all the various percentiles of log hourly wages in both five-year periods. As
185
the null hypothesis, that the variance of unobserved fixed-effects was zero, was not
rejected, the regional-specific effect which was unobserved in all periods but constant
over time was not correlated with the covariates. This indicates that there was no clue to
an endogeneity bias caused by the correlation, for example between the unobserved
changes in employment in a specific wage group and the fraction of those affected by
the increase in the minimum wage.
Panel B of Table 7.2 reports estimates of regression models to test spillover effects. In
the models, the dependent variable was the changes in ratios between the 90th and 10th,
the 90th and 25th, the 90th and 50th, and the 50th and 10th percentiles of log hourly wages
among employees aged 55 and older by region. The variable was computed by
subtracting each of the ratios between the various percentiles of log hourly wages before
an increase in the minimum wage from each corresponding ratio after the increase for
each region. It was hypothesized that the ratios between the various percentiles of log
hourly wages would decrease as the proportion of older employees affected by an
increase in the minimum wage increased. This was based on a logical consequence of
the mainstream economic theories that, if a minimum wage was adequately enforced
and complied with and had a spillover effect as expected up to a certain percentile of
wages slightly higher than the one to which minimum wage workers belonged, the wage
distribution would be narrowed by the lifted wages in the middle wage brackets and
below. The models also reflected the regional wage differentials by using regional
fractions of older employees affected by an increase in the minimum wage to redeem
the limitation of no comparison group which was not affected by an increase in the
minimum wage and assumed no long-lasting effect of the increase in the minimum
wage.
The results for the relative changes in the percentiles of log hourly wages were different
between the two five-year periods. For the first five-year period with one of the highest
rate of increase in the minimum wage, the estimated models indicated that the fraction
affected significantly reduced the 90th/10th and 90th/25th percentile ratios by a small
margin whereas the 50th/10th percentile ratio had an ambiguous change by the
contrasting effects of the fraction affected and the fraction newly affected.
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Table 7.2 Estimated Models for Changes in the Percentiles of Log Hourly Wages among 55+ Employees, 2004-2008 and 2009-2013
Panel A: Models for Changes in the 10th, 25th, 50th, 75th, 90th Percentiles
2004 - 2008 2009 - 2013 OLS Models
P10 P25 P50 P75 P90 P10 P25 P50 P75 P90
Fraction Affected 0.99
(0.23)***
0.63
(0.18)***
0.44
(0.19)**
0.58
(0.33)* 0.13 (0.29)
0.29
(0.17)*
0.19
(0.13)
0.27
(0.15)*
0.22
(0.18)
-0.11
(0.23)
Fraction Newly Affected -0.84
(0.41)**
-0.35
(0.31)
0.14
(0.33)
0.26
(0.58)
0.03
(0.51)
-1.24
(0.63)* -0.67 (0.48)
-0.45
(0.58)
0.22
(0.69)
-0.04
(0.87)
Change in Employment Rate -1.34
(1.03)
0.12
(0.80)
-0.81
(0.85)
-0.92
(1.48)
-0.17
(1.29) 0.33 (0.81) 0.11 (0.62)
-0.19
(0.75)
-0.04
(0.89)
-0.78
(1.12)
R-Squared 0.23 0.15 0.09 0.06 0.003 0.08 0.05 0.05 0.02 0.01
Fixed-effects Models
P10 P25 P50 P75 P90 P10 P25 P50 P75 P90
Fraction Affected 1.75
(0.35)***
1.10
(0.28)***
0.80
(0.30)***
1.23
(0.51)**
-0.31
(0.45)
0.56
(0.21)**
0.31
(0.17)*
0.41
(0.20)*
0.28
(0.24) -0.07 (0.31)
Fraction Newly Affected -1.25
(0.48)**
-0.54
(0.38)
0.08
(0.41)
-0.33
(0.70)
0.23
(0.61)
-1.43
(0.72)* -0.79 (0.56)
-0.63
(0.69)
0.23
(0.81)
-0.02
(1.04)
Change in Employment Rate -2.27
(1.13)**
-0.35
(0.89)
-1.23
(0.97)
-1.70
(1.65)
0.24
(1.45) 0.48 (0.90)
0.21
(0.70)
-0.03
(0.86)
0.30
(1.01)
-0.52
(1.30)
R-Squared 0.32 0.22 0.14 0.10 0.01 0.15 0.08 0.07 0.03 0.003
Source: KLIPS data wave6(2003) ~ wave16(2013) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
187
Panel B: Models for the Relative Changes in the Percentiles of Log Hourly Wages
2004 - 2008 2009 - 2013 OLS Models
P90/P10 P90/P25 P90/P50 P50/P10 P90/P10 P90/P25 P90/P50 P50/P10
Fraction Affected -0.15
(0.06)*** -0.08 (0.05)* -0.05 (0.04) -0.09 (0.04)** -0.06 (0.03)* -0.04 (0.03) -0.05 (0.03)* -0.005 (0.02)
Fraction Newly Affected 0.14 (0.10) 0.06 (0.08) -0.02 (0.07) 0.14 (0.07)* 0.19 (0.13) 0.09 (0.12) 0.06 (0.10) 0.11 (0.09)
Change in Employment Rate 0.22 (0.25) -0.04 (0.21) 0.08 (0.18) 0.11 (0.18) -0.14 (0.17) -0.10 (0.16) -0.07 (0.14) -0.07 (0.11)
R-Squared 0.10 0.04 0.03 0.09 0.07 0.03 0.04 0.03
Fixed-effects Models
P90/P10 P90/P25 P90/P50 P50/P10 P90/P10 P90/P25 P90/P50 P50/P10
Fraction Affected -0.34
(0.08)***
-0.21
(0.07)*** -0.15 (0.06)** -0.15 (0.07)** -0.10 (0.04)** -0.05 (0.04) -0.06 (0.04)* -0.02 (0.03)
Fraction Newly Affected 0.24 (0.12)** 0.12 (0.10) 0.02 (0.08) 0.20 (0.09)** 0.22 (0.15) 0.11 (0.14) 0.08 (0.13) 0.12 (0.10)
Change in Employment Rate 0.44 (0.28) 0.08 (0.23) 0.19 (0.20) 0.19 (0.21) -0.13 (0.19) -0.08 (0.18) -0.06 (0.16) -0.07 (0.13)
R-Squared 0.23 0.13 0.11 0.12 0.10 0.03 0.05 0.03
Source: KLIPS data wave6(2003) ~ wave16(2013) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0
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These results suggest that an increase in the minimum wage was responsible for a
significant wage compression between the upper wage bracket and the lower-middle
wage bracket or the lowest wage bracket, but the reduction of the wage gap between the
middle wage bracket and the lowest wage bracket was likely to be restrained in regions
with a high fraction of older workers who were previously paid between an old and a
new minimum wage rates. Given the results for the changes in the various percentiles of
wages, this implies that the increase in the minimum wage pushed up wages mainly in
the middle wage brackets during the first five-year period, but the wage in the lowest
wage bracket also increased as much as the wage in the middle wage bracket did,
despite its fall in regions with a high fraction of older employees who were previously
paid between an old and a new minimum wage rate. For the second five-year period
with the lowest rate of increase in the minimum wage, the estimated models indicated
that the 90th/10th and 90th/50th percentile ratios significantly but marginally decreased by
the fraction affected. This suggests that a smaller increase in the minimum wage during
the second-five year brought about a slight relief of the wage gap between the upper
wage bracket and the lowest or the middle wage bracket. The changes in employment
for employees aged 55 and older included as a control variable had little influence on all
the estimated models, and the OLS models had better fit than the fixed-effects models
for both five-year periods based on F-test of the joint significance of the fixed-effects
intercepts.
One thing to add is that, as expected from the results for the changes in the percentiles
of log hourly wages, the fraction affected mostly had negative correlations with the
various percentile ratios while the fraction newly affected mostly had positive but
insignificant correlations with the ratios for both five-year periods. This implies that the
fraction affected would be a better indicator than the fraction newly affected to test the
distributional effects of an increase in the minimum wage for older workers.
Furthermore, it supports the supposition that employers who hire older workers are
pressured to increase wages by the difference between the lowest wage that they paid
and a new minimum wage rate, rather than the difference between an old and a new
minimum wage rates.
189
In sum, the increase in the minimum wage created spikes at or around the minimum
wage in the distribution of wages among older employees for both of the period with
one of the highest rates of increase in the minimum wage and the period with the lowest
rate of increase. However, it neither truncated nor thinned out the lower tail of the
distribution of wages in all of the years, showing a considerable proportion of older
employees left being paid less than the minimum wage. In terms of the spillover effects,
the contrasting effects of the fraction affected and the fraction newly affected did not
provide convincing evidence for both five-year periods that the increase in the minimum
wage had positive and significant effects at the 10th percentile of log hourly wages
among older employees. The regression estimates indicated positive and significant
effects of the fraction affected variable at the 25th, 50th, and 75th percentiles for the first
five-year period and at the 50th percentile for the second five-year period. These results,
however, do not directly give an answer to the spillover question for the second five-
year period, because the 50th percentile can be minimum wage older workers in low-
wage regions. In this case, the estimate would include both the effects of the minimum
wage on the spike in the wage distribution at the minimum and spillover effects above
it, as Neumark and Wascher (2008, p.117) pointed out. As regards minimum wage
effects on the reduction in the wage gap among older employees, the regression
estimates indicated marginal and significant reductions at the 90th/10th and 90th/25th
percentile ratios by the fraction affected and an ambiguous change in the 50th/10th
percentile ratios by the contrasting effects of the fraction affected and the fraction newly
affected for the first five-year period. By comparison, marginal but significant effects of
the faction affected variable at the 90th/10th and 90th/50th percentile ratios were found for
the second five-year period.
The Effect of the Minimum Wage on Employment
The effect of the minimum wage on employment among older employees was explored
at two different levels. Effects at the regional level were first screened for each of the
two five-year periods, using OLS and fixed-effects models. In the models, the
dependent variables were the change in employment rate of older employees by region
and the change in unemployment rate of older individuals by region (see the methods
190
part of Chapter Five for how each was defined). Both variables were computed by
subtracting the (un)employment rate before an increase in the minimum wage from the
corresponding after the increase for each region. The fraction affected and the fraction
newly affected, the same indicators of an increase in the minimum wage used in the
analysis of the effects on the wage distribution were employed as the independent
variables, and no control variable was included due to the limits of data. Following the
typical prediction of the mainstream economic theory, it was hypothesized that a higher
increase in the minimum wage may have a stronger negative correlation with the change
in the employment rate of older employees and also a stronger positive correlation with
the change in their unemployment rate. This hypothesis was based on the assumptions
that monopsony was not the labour market condition for older workers, new hires would
rarely occur among them, and the dismissal by an increase in the minimum wage would
lead to the increase in the unemployment rate of the age group. As in the OLS and
fixed-effects models for the effects on the wage distribution, these models also reflected
the regional wage differentials by using regional fractions of older employees affected
by an increase in the minimum wage to redeem the limitation of no comparison group
which was not affected by an increase in the minimum wage, and assumed no long-
lasting effect of the increase in the minimum wage that last over one year.
Table 7.3 reports the estimates of the models for each five-year period. The results show
that neither the fraction affected nor the fraction newly affected were significantly
correlated with regional employment or unemployment rates for the first five-year
period with one of the highest rates of increase in the minimum wage. By contrast, both
indicators of an increase in the minimum wage had negative and significant correlations
with regional unemployment rates by a small margin for the second five-year period
with the lowest rate of increase in the minimum wage. Note that the OLS models had a
better fit than the fixed-effects models for both five-year periods based on F-test of the
joint significance of the fixed-effects intercepts. The estimated models suggest that the
increase in the minimum wage would not lower regional employment levels for older
employees, regardless of the rate of increase in the minimum wage, but a marginal
increase in the minimum wage might drive older workers to move to other types of
employment, such as self-employment, or to a higher-wage region. However, this
191
analysis does not provide direct evidence of a zero disemployment effect for the
increase in the minimum wage. Although many factors, including sectoral composition
of firms hiring older workers for each region, may be involved in regional employment
and unemployment levels for older workers, none were controlled in the models.
Table 7.3 Estimated Models for Changes in Employment & Unemployment among 55+ Employees, 2004-2008 and 2009-2013
2004 – 2008 2009 - 2013
OLS Models Employment Unemployment Employment Unemployment
Fraction Affected 0.01 (0.03) 0.03 (0.03) -0.01 (0.02) -0.11 (0.03)***
Fraction Newly Affected 0.01(0.05) -0.06 (0.05) 0.05 (0.09) -0.17 (0.10)*
R-Squared 0.003 0.02 0.01 0.21
Fixed-effects Models Employment Unemployment Employment Unemployment
Fraction Affected 0.07 (0.04)* -0.06 (0.04) -0.01 (0.03) -0.15 (0.03)***
Fraction Newly Affected -0.03 (0.06) 0.005 (0.06) 0.06 (0.10) -0.16 (0.11)
R-Squared 0.05 0.04 0.01 0.27
Source: KLIPS data wave6(2003) ~ wave16(2013) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
The causal relationship between the increase in the minimum wage and disemployment
among older employees was explored at the individual level for each of the five-year
periods, using the multilevel discrete-time event history model for competing risks. In
the model, the dependent variables were individuals’ transition from being employed to
being unemployed or to being in other types of employment, such as self-employment or
non-wage family business work. In company with the control of individuals’ sex, age,
and level of education obtained, the product of minimum wage application or not and
log hourly real minimum wage were used for representing the increase in the minimum
wage, and duration spent being employed plus square of duration were also included as
192
explanatory variables for testing the effect of duration and its reversal at some point.
This event history analysis was conducted for each of the two five-year periods, using
both fixed-effects models which did not assume unobserved heterogeneity among older
employees and random-effect models which allowed for it. In the models, it was
hypothesized that if an older employee was affected by an increase in the minimum
wage, the employee may be more likely to become unemployed or to get into other
types of employment, such as self-employment, as the real minimum wage increased.
As in the analysis at the regional level, this hypothesis was also based on the typical
prediction of the mainstream economic theory, did not suppose monopsony labour
market for older workers, assumed that an increase in the minimum wage would
influence on individuals’ transition only in the corresponding year, and focused on their
transition from being employed in the light of relatively rare new hires in the older age
group.
Cases selected from the original KLIPS individual datasets for the analysis were those
aged 55 and over and being employed at some time in each five-year period.
Observations found in discrete-time format of individuals being unemployed, self-
employed or in non-wage family business work before being employed and of
individuals staying in one of those states or shifting between those states after a
transition from being employed were excluded. The analysis was based on the original
sample of 782 older employees with 806 episodes for the first five-year period and of
1,337 older employees with 1,396 episodes for the second five-year period.
Employment spells provided a total of 2,338 and 4,016 person-year observations for
each five-year period, respectively. As noted earlier, the big gap in the total number of
cases and observations between the two five-year periods is attributed to the
supplementation of respondents from the twelfth wave of the KLIPS in 2009. Table 7.4
shows the descriptive statistics by covariates in both individual level and observation
level. Men had much higher share than women for both five-year periods; however, the
proportion of women grew by over 4.5 per cent in the second five-year period whilst the
portion of men fell by the same rate in the same period. The average age was 60.37
years old for the first five-year period, which increased by roughly one year old for the
second five-year period; and the majority of respondents were middle or high school
193
graduates. The average duration spent in being employed by an individual’s episode for
each five-year period was 2.94 years and 2.93 years, respectively.
Table 7.4 Descriptive Statistics of 55+ Employees by Covariates, 2004-2008 & 2009-2013
2004 - 2008
2009 - 2013
Individual /
Episode
Observation
Individual /
Episode
Observation
Number of Total
782 / 806 2,338
1,337 / 1,396 4,016
N (%) N (%)
N (%) N (%)
Sex
Male
515 (65.9) 1,565 (66.9)
820 (61.3) 2,494 (62.1)
Female
267 (34.1) 773 (33.1)
517 (38.7) 1,522 (37.9)
Mean (SD) Mean (SD)
Mean (SD) Mean (SD)
Age
60.37 (5.259) 60.88 (5.266)
61.50 (6.161) 61.97 (6.087)
Education
1.42 (0.494) 1.41 (0.492)
1.45 (0.497) 1.43 (0.495)
Duration Spent in being Employed
2.94 (1.430) 2.30 (1.263)
2.93 (2.007) 2.29 (1.253)
MW Application or not * Log Real
MW
2.30 (3.155) 2.37 (3.646)
2.51 (3.287) 2.59 (3.793)
Source: KLIPS data wave6(2003) ~ wave16(2013)
The estimated coefficients and standard errors from the full fixed-effects model for
competing risks are given in Table 7.5. The hazard of being unemployed significantly
increased with the duration spent in being employed for the first five-year period, and
the one of being self-employed did as well with higher probability. For the second five-
year period, the duration effect on the transition to being unemployed was significant
and gave older employees even a higher risk than for the first five-year period.
However, the transition to self-employment was not significantly affected by the
duration spent in being employed. The positive duration effect on the transition to
unemployment would result from the combined reasons that some older employees
retired from their lifetime jobs and others left from their temporary jobs under the
prevalent employees’ policy to preferentially dismiss those with long service for new
hire of the younger workers. The difference in the duration effect between the two five-
year periods can be interpreted that the economic condition for the first five-year period
still allowed the practice of retirees’ starting a small business but the condition for the
second five-year period did not influenced by the global financial crisis. Meanwhile,
194
there was no significant evidence of the increased risk of being unemployed for older
employees aged 55 and over in both five-year periods. Although a positive estimate was
shown for the first five-year period with one of the highest rates of increase in the
minimum wage increase, and a negative estimate was given for the second five-year
with the lowest rates, all the estimates of the minimum wage effect were neither
statistically significant nor large. For the transition to being self-employed, the variable
representing the increase in the minimum wage had a negative but statistically
insignificant effect for both five-year periods. These results imply that the increase in
the minimum wage was not responsible for older employees’ becoming unemployed or
in other types of employment, including self-employment and non-wage family
business work, regardless of the rate of increase in the minimum wage. This is
consistent with the findings of the analysis at the regional level that there would be no
disemployment effect of the increase in the minimum wage. In tems of other covariates,
there was little significant effect of sex and education, except that female older
employees were more likely to become self-employed than male counterparts for the
first five-year period. But older employees’ age significantly increased the risk of being
unemployed for both five-year periods and the risk of being self-employed for the
second five-year period.
Although the numerical values slightly changed, the estimates in Table 7.6 from the
random-effects model allowing for unobserved heterogeneity between older employees
show the same pattern of results with the one from the fixed-effects model. Further, the
estimated covariance between the random-effects was negative, which could be
interpreted that older employees who had a transition to unemployment in a shorter time
tended to have a longer time for being self-employed, and on the contrary, those who
had a transition to being unemployed in a longer time were more likely to be self-
employed in a shorter time. But, the estimate of individual-level variance was small
relative to its standard error, suggesting that there was little evidence of correlation
between the unobserved individual-level characteristics influencing the hazard of a
transition either to unemployment or to self-employment.
195
Table 7.5 Estimated Fixed-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013
2004 - 2008 2009 - 2013 Employed -> Unemployed Employed -> Self-employed Employed -> Unemployed Employed -> Self-employed
Constant -5.431 (0.879)*** -6.380 (2.006)*** -5.656 (0.628)*** -7.728 (1.470)***
Duration Employed 0.354 (0.151)** 0.703 (0.336)** 0.531 (0.126)*** -0.060 (0.249)
Duration*Duration 0.015 (0.018) -0.046 (0.038) -0.005 (0.015) 0.028 (0.035)
MW Application or not* Log Real MW 0.006 (0.021) -0.050 (0.047) -0.014 (0.017) -0.008 (0.041)
Sex (ref. is male)
Female
0.021 (0.170) 1.240 (0.356)*** 0.107 (0.131) -0.294 (0.329)
Age 0.048 (0.014)*** 0.034 (0.032) 0.051 (0.010)*** 0.055 (0.023)**
Education (ref. is middle & lower)
High School & higher
-0.081(0.165) 0.527 (0.365) -0.088 (0.128) -0.235 (0.312)
Case / Observation 782 / 2,338 1,337 / 4,016
Source: KLIPS data wave6(2003) ~ wave16(2013) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
196
Table 7.6 Estimated Random-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013
2004 - 2008 2009 - 2013 Employed -> Unemployed Employed -> Self-employed Employed -> Unemployed Employed -> Self-employed
Constant -5.804 (0.896)*** -6.716 (2.093)*** -5.873 (0.692)*** -8.587 (1.840)***
Duration Employed 0.416 (0.164)** 0.821 (0.368)** 0.574 (0.133)*** -0.011 (0.280)
Duration*Duration 0.023 (0.019) -0.048 (0.041) -0.003 (0.016) 0.031 (0.039)
MW Application or not* Log Real
MW 0.008 (0.022) -0.049 (0.050) -0.015 (0.018) -0.003 (0.047)
Sex (ref. is male)
Female 0.033 (0.192) 1.309 (0.396)*** 0.118 (0.138) -0.355 (0.376)
Age 0.051 (0.014)*** 0.030 (0.032) 0.053 (0.011)*** 0.056 (0.028)**
Education (ref. is middle & lower)
High School & higher -0.118 (0.187) 0.488 (0.399) -0.095 (0.135) -0.259 (0.350)
σ²ᵥ0 0.543 (0.311) 0.268 (0.277) σᵥ01, σ²ᵥ1 -0.109 (0.341) 1.073 (1.223) -0.110 (0.561) 1.779 (1.890)
Deviance (MCMC) 1,662.637 2,607.445 Case / Observation 782 / 2,338 1,337 / 4,016
Source: KLIPS data wave6(2003) ~ wave16(2013) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
197
Overall, there was no evidence from the above analyses that the increase in the
minimum wage had a disemployment effect among older workers, either at the regional
level or at the individual level. The results of the analysis at the regional level implied
the possibility of a marginal reduction in their unemployment rate by a marginal
increase in the minimum wage, and the results at the individual level provide evidence
of no instant dismissal among older employees due to the increase in the minimum
wage, regardless of its rate of increase. However, it may not be affirmed that the
increase in the minimum wage would have no employment effect among older workers
for the years studied since the findings do not inform us whether the increase in the
minimum wage prevented new hires among older workers. For a full account of the
employment effect for older workers, the minimum wage effect on older workers’
transition from being unemployed or being in other types of employment to being
employed should also be explored.
The Minimum Wage Effects on the Distribution of Family Earnings
and Exit from Working Poor
Mininmum wage effects on the distribution of family earnings and on exit from being
working poor are addressed in this section. Before exploring the effects, the distribution
of family earnings of employees aged 55 and older was reviewed for each of the two
five-year periods by plotting the kernel density estimates of log annual family earnings
per capita for each older employee’s household minus log 60 per cent of the median
annual family earnings per capita for all employees’ households. As shown in Figure
7.2, the plot shows that a large portion of older employees were working poor, having
annual family earnings less than 60 per cent of the median in both five-year periods.
However, the two five-year periods indicated clearly different features. While the
distribution roughly moved a little towards the right year by year for the first five-year
with one of the highest rates of increase in the minimum wage, the second five-year had
more bulges in the lower parts of the distribution with lower peak points. This implies
that older employees were likely to experience a rise in family earnings for the first
five-year period but no rise or even a fall during the second five-year period. The kernel
density estimates for the second five-year period could be a partial reflection of the
198
economic downturn arising from the 2008 global financial crisis.
Figure 7.2 Distribution of Monthly Family Earnings among 55+ Employees, 2004-2008 and 2009-2013
Source: KLIPS data wave8(2004) ~ wave17(2014)
Using OLS and fixed-effects models, minimum wage effects on the distribution of
family earnings of employees aged 55 and older were examined for each of the two
five-year periods. The dependent variables were the changes in the 10th, 50th, and 90th
percentiles of log annual family earnings per capita among employees aged 55 and
older by region and the changes in ratios beetween the 90th and 10th and the 50th and
10th percentiles by region. Each variable was computed by subtracting each of the
concerned percentiles of log annual family earnings per capita and the ratios between
the percentiles before an increase in the minimum wage from each corresponding
percentile and ratio after the increase for each region, respectively. The fraction affected
and the fraction newly affected, the same indicators of an increase in the minimum wage
used in the analysis of the effects on the wage distribution were employed as
independent variables, and the change in employment rate of employees aged 55 and
older by region was also cotrolled in the models. It was hypothsized that log annual
family earnings per capita would increase up to a certain percentile in their distribution
among employees aged 55 and older as the fraction of older employees affected by an
increase in the minimum wage increased. This hypothesis was based on the supposition
that an increase in the minimum wage could make a contribution to improve family
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earnings among low paid older employees’ households if there was no change in the
employment status of older employees’ partners, in consideration of the fact from Table
7.1 that the majority of older employees were married, and many of their households
consisted of two members. Under the condition that the supposition was true, it was also
hypothesized that an increase in the minimum wage would reduce the gaps between the
lowest percentile of log annual family earnings per capita and the highest or middle
percentiles by increasing the lowest percentile. As in the analysis of the effects on the
wage distribution, the models assumed that regional differences in the fraction of older
employees affected by an increase in the minimum wage reflected the regional wage
differentials, and this could redeem the limitation of no comparison group which was
not affected by an increase in the minimum wage. It was also assumed that an increase
in the minimum wage in a year would only affect the distribution of family earnings for
the corresponding year.
Table 7.7 reports estimates for the changes in the various percentiles of log annual
family earnings per capita among those aged 55 and older and in ratios between the
percentiles. Although the relationship was somewhat more attenuated in the OLS
models than the fixed-effects models for both five-year periods, F-tests of the joint
significance of the fixed effects intercepts showed that the OLS models provided a
better fit than the fixed-effects models for both five-year periods. The effects were
clearly different between the two periods. For the first five-year period with one of the
highest rates of increase in the minimum wage, no statistically significant correlation
between the changes in the various percentiles of log annual family earnings per capita
among older employees and the fractions of older employees who were previously paid
less than a new minimum wage or between an old and a new rate was found. Instead,
the change in the employment rate of older employees by regoin was positively
correlated with the changes in the 10th and 90th percentiles of log annual family earnings
per capita among older employees at a significance level of 0.01. Corresponding to
these results, no estimate for the relative changes in the perceniles of log annual family
earnings per capita among older employees showed a significant effect from the
increase in the minimum wage during this five-year period but sizable reductions in the
90th/10th and 50th/10th percentile ratios by the change in the employment rate of older
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Table 7.7 Estimated Models for Changes in the Percentiles of Log Family Earnings among 55+ Employees, 2004-2008 and 2009-2013
2004 - 2008 2009 - 2013 OLS Models
P10 P50 P90 P90/P10 P50/P10 P10 P50 P90 P90/P10 P50/P10
Fraction Affected -0.46
(0.51)
-0.27
(0.24)
-0.37
(0.25) 0.05 (0.13) 0.05 (0.11) 0.42 (0.40)
0.51
(0.19)*** 0.17 (0.14) -0.05 (0.11) 0.02 (0.10)
Fraction Newly Affected 1.08 (0.89) 0.57 (0.42) -0.34
(0.45)
-0.27
(0.23)
-0.10
(0.19) -0.40 (1.51) -0.32 (0.71) -0.30 (0.53) 0.12 (0.40) 0.11 (0.37)
Change in Employment Rate 5.90
(2.26)** 1.14 (1.07)
2.47
(1.14)**
-1.17
(0.59)*
-1.23
(0.49)** 2.63 (1.94) 0.33 (0.91) -1.06 (0.68)
-0.97
(0.52)* -0.65 (0.47)
R-Squared 0.11 0.05 0.10 0.07 0.09 0.04 0.09 0.05 0.05 0.03
Fixed-effects Models
P10 P50 P90 P90/P10 P50/P10 P10 P50 P90 P90/P10 P50/P10
Fraction Affected -0.82
(0.80)
-0.51
(0.38)
-0.94
(0.38)** 0.05 (0.21) 0.08 (0.17) 0.52 (0.53)
0.61
(0.25)** 0.19 (0.19) -0.04 (0.14) 0.04 (0.13)
Fraction Newly Affected 1.58 (1.11) 0.72 (0.52) -0.25
(0.53)
-0.37
(0.29)
-0.17
(0.24) -0.58 (1.80) -0.57 (0.84) -0.42 (0.63) 0.16 (0.48) 0.12 (0.44)
Change in Employment Rate 6.70
(2.61)** 1.45 (1.23)
3.26
(1.24)**
-1.25
(0.68)*
-1.36
(0.56)** 3.28 (2.25) 0.35 (1.05) -1.06 (0.79)
-1.13
(0.60)* -0.79 (0.55)
R-Squared 0.13 010 0.18 0.08 0.10 0.05 0.09 0.05 0.06 0.04
Source: KLIPS data wave6(2003) ~ wave17(2014) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
201
employees by region. These indicate that even higher increases in the minimum wage
may not have a substantial impact on the distribution of family earnings of older
employees when their employment rate has a strong influence on the distribution. This
result could be a case that new employment, including self-employment, of older
employees’ partners was partially responsible for the increase in family earnings of
older employees’ households in regions with a high change in the employment rate of
older employees. In this case, the effect of an increase in the minimum wage might
become significant in lower percentiles of family earnings of older employees when the
partners’ new employment is controlled.
For the second five-year periods, the fraction affected was positively and significantly
correlated with the change in the 50th percentile of log annual family earnings per capita
among older employees, and the regional change in the employment rate of older
employees was negatively and significantly correlated with the 90th/10th percentile ratio.
These indicate that a marginal increase in the minimum wage had a significant effect on
median family earnings in regions with a high fraction of older employees previously
paid less than a new minimum wage, and employment rates for older employees were
responsible for the gap between the highest and lowest percentiles of family earnings of
older employees in regions with a big change in the employment rate. When recalling
the kernel density plot in Figure 7.2, the results imply that the small increase in the
minimum wage for the second-five year period substantially increased family earnings
of older employees’ households with income from labour below 60 per cent of the
median family earnings for all employees when the fraction of older employees
previously paid less than a new minimum wage rate was large.
Although statistically significant correlations were rarely found, both of the fraction
affected and the fraction newly affected variables were inversely correlated with the
changes in most of the various percentiles of older employees’ family earnings and of
their ratios in both five-year periods, and the sign of each indicator of an increase in the
minimum wage was reversed between the two five-year periods. Considering the fact
that the change in the employment rate had significant effects, mostly for the first five-
year period, the reversed contrasting effects of the two indicators between the two five-
year periods may imply that the change in each fraction for a region was likely to be
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explained to some degree by a certain feature of the change in the employment rate plus
an increase in the minimum wage for the first period while it was not for the second
period, although the results of F-tests showed no unobserved fixed-effects.
Lastly, minimum wage effects on exits from in-work poverty among older employees
aged 55 and older were examined for each five-year period, using the multilevel
discrete-time event history model for competing risks. As mentioned in Chapter Five,
the working poor were defined as employees whose household income was less than 60
per cent of the median annual household income for all individuals surveyed. Since the
median household income is typically much lower than the mean household income in
Korea, the use of the median rather than the mean allows us to avoid an unnecessary
controversy as regards the definition. Note that household income was computed on a
per-capita basis by dividing the total annual amount of family earning and income from
all other sources in an individual’s household by the square root of household size, an
equivalence scale for income estimates. In the models, the dependent variables were
individuals’ transition from being poor while being employed to getting out of poverty
while staying employed, to being unemployed, or to being in other types of employment,
such as self-employment or non-wage family business work. The product of minimum
wage application or not and log hourly real minimum wage was used for indicating an
increase in the minimum wage, as in the analysis of employment effects. Duration spent
in being the working poor and square of duration were also employed as explanatory
variables for testing the effect of duration and its reversal at some point, and sex, age,
level of education obtained, household or not, and the number of family members were
controlled. This event history analysis was conducted, using both fixed-effects and
random-effects models. In the models, it was hypothesized that if an older employee
was affected by an increase in the minimum wage, the employee’s household would be
more likely to exit from poverty while they were employed, as the real minimum wage
increased. This hypothesis was based on the supposition that if a significant proportion
of older employees who previously earned less than a new minimum wage rate was paid
the new rate, household income will be increased by an increase in the minimum wage
among a part of the employees’ households of which around 50 per cent earned less
than 60 per cent of the median annual family earnings, in as much as income from
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labour would be the most critical and elastic income source among low-income
households. The hypothesis also assumed that an increase in the minimum wage would
affect individuals’ transition only in the corresponding year, as in other analyses.
Employees who were aged 55 and over and earned household income per capita less
than 60 per cent of the median at some time in each five-year period were selected from
the original KLIPS datasets for the analysis. In discrete-time format, observations in
which an individual was unemployed, self-employed, in non-wage family business
work, or employed with household income per capita of 60 per cent of the median or
more before being employed with household income per capita less than 60 per cent of
the median were excluded. Observations in which an individual stayed in one of those
states stated above or shifted between the states after a transition from being the
working poor were also excluded. The analysis was based on 276 older employees in
poverty with 280 episodes for the first five-year period and on 421 counterparts with
461 episodes for the second five-year period. Spells in in-work poverty gave a total of
670 and 1,097 person-year observations for the first and second five-year period,
respectively. (Note again that the difference in the total number of cases and
observations included between the two five-year periods is due to the supplement of
respondents from the twelfth wave of the KLIPS in 2009.)
Table 7.8 displays the descriptive statistics by covariates in both individual level and
observation level. There was only a small difference in the share of men and women for
the first five-year period, but the proportion of women was higher by 9.2 per cent than
the one of men for the second five-year period. The average age was 63.74 and 65.11
years old for the two five-year periods, respectively, and those are higher than the
average age of older employees aged 55 and over presented in Table 7.4. The average
level of education obtained was, on the contrary, lower than the average of older
employees for both five-year periods. Householder status was dominant among the
older working poor, and the average number of family members decreased from 2.46 for
the first five-year period to 2.15 for the second five-year period. The average duration
spent in the working poor in an episode was slightly less than two and half years for
both five-year periods. The mean of minimum wage application or not * log hourly real
minimum wage was much higher in both five-year periods than the one for older
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employees aged 55 and older shown in Table 7.4, which means that older employees in
poverty were more affected by the minimum wage than the non-poor.
Table 7.8 Descriptive Statistics of 55+ Working Poor by Covariates, 2004-2008 & 2009- 2013
2004 - 2008
2009 - 2013
Individual /
Episode
Observation
Individual /
Episode
Observation
Number of Total
256 / 280 670
421 / 461 1,097
N (%) N (%)
N (%) N (%)
Sex
Male
131 (51.2) 341 (50.9)
191 (45.4) 482 (43.9)
Female
125 (48.8) 329 (49.1)
230 (54.6) 615 (56.1)
Mean (SD) Mean (SD)
Mean (SD) Mean (SD)
Age
63.74 (5.768) 64.22 (5.739)
65.11 (7.165) 65.55 (7.084)
Education
1.25 (0.433) 1.23 (0.423)
1.24 (0.430) 1.23 (0.421)
N of Family Members
2.46 (1.119) 2.47 (1.187)
2.15 (1.040) 2.09 (1.037)
Householder or not
0.75 (0.426) 0.75 (0.431)
0.76 (0.422) 0.78 (0.415)
Duration Spent in Working
Poor
2.43 (1.185) 1.99 (1.100)
2.42 (1.130) 1.95 (1.056)
MW Application or not * Log
Real MW
3.88 (3.443) 4.13 (3.992)
4.42 (3.465) 4.71 (4.023)
Source: KLIPS data wave6(2003) ~ wave17(2014)
The estimated coefficients and standard errors from the fixed-effects models for
competing risks are shown in Table 7.9. Both the chance of exiting from poverty while
being employed and the hazard of being unemployed significantly increased with the
duration spent in poverty while being employed for both five-year periods. However,
the magnitude of the duration effect for exits from in-work poverty among older
employees was larger than for the transition to unemployment for the first five-year
period with one of the highest rates of increase in the minimum wage, while it was
reversed for the second five-year period with the lowest rate of increase. The result that
an older employee with a longer duration in working poverty was more likely to be out
of it contradicts the conventional wisdom that people staying longer in poverty tend to
find it harder to exit from poverty. But, the observation period in the analysis was a five-
year term, and the result does not represent the long-term effects of poverty. The
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duration effect from the analysis can be understood that, at least in short or middle-term
period, relatively longer employment would help older employees in poverty to make a
little financial room or small savings by tightening consumption.
Regarding the effect of the minimum wage, there was no evidence that the minimum
wage raised the chance of exiting from in-work poverty among older employees. No
transition from being poor while being employed significantly increased or decreased
with the product of minimum wage application or not and log real minimum wage
variable for the first five-year period with one of the highest rates of increase in the
minimum wage. Rather, the variable indicating minimum wage increases reduced the
chance of exits from poverty among older employees for the second five-year period
with the lowest rate of increase in the minimum wage. These results indicate that even a
large increase in the minimum wage had no impact on older individuals’ exits from in-
work poverty, and a very low increase was responsible for reducing the odds to exit
from in-work poverty among older employees. Assuming that income from labour is the
largest portion of household income among the older working poor, the results on older
employees’ exits from poverty is consistent with the results on the distribution of family
earnings, in as much as minimum wage increases for the first five-year period had no
significant effect while the increases for the second five-year period only raised the 50th
percentile which was presumably less than 60 per cent of the median family earnings for
all employees. As regards other covariates in the model, older employees’ age
significantly decreased the chance to exit from in-work poverty for both five-year
periods and increased the hazard of being unemployed for the second five-year period,
and those obtained higher education were more likely to be out of poverty while being
employed for both five year periods.
Table 7.10 reports the results from the random-effects model, showing the same pattern
as in the fixed-effects model. A difference is the significance in the effect of
householder status. The estimated covariance between the random-effects was negative,
possibly suggesting that an older employee who exited from in-work poverty in a short
time period was more likely to spend a longer time for the transition to unemployment
or self-employment, whereas an older individual in in-work poverty for a longer time
tended to have a shorter time for the transition to other states. But, since the covariance
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Table 7.9 Estimated Fixed-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013
2004 - 2008 2009 - 2013 Working Poor -> Exit
from In-Work
Poverty
Working Poor ->
Unemployment
Working Poor -> Self-
Employment
Working Poor -> Exit
from In-Work
Poverty
Working Poor ->
Unemployment
Working Poor ->
Self-Employment
Constant 3.116 (1.837)* -3..906 (1.795)** -3.954 (4.070) 0.545 (1.104) -5.857 (1.298)*** -5.009 (3.226)
Duration in Working
Poor 0.784 (0.332)** 0.676 (0.337)** 0.312 (0.743)
0.619 (0.220)*** 0.924 (0.292)*** 0.286 (0.671)
Duration*Duration -0.017 (0.050) -0.038 (0.050) -0.006 (0.115) -0.018 (0.035) -0.067 (0.043) -0.012 (0.110)
MW Application or
not*Log Real MW 0.012 (0.034) -0.004 (0.035) -0.050 (0.085)
-0.055 (0.025)** 0.012 (0.031) 0.014 (0.076)
Sex (ref. is male)
Female -0.514 (0.366) 0.100 (0.347) -0.978 (0.967)
0.142 (0.239) -0.009 (0.284) -1.097 (0.768)
Age -0.086 (0.027)*** 0.020 (0.025) 0.045 (0.056) -0.039 (0.015)*** 0.056 (0.017)*** 0.031 (0.041)
Education (ref. is middle
& lower)
High School &
higher 1.021 (0.304)*** 0.278 (0.353) 0.007 (0.872)
0.468 (0.207)** -0.129 (0.294) -0.668 (0.788)
Householder or not (ref.
is no)
Householder -0.226 (0.403) 0.358 (0.411) -1.722 (0.995)*
0.032 (0.275) 0.083 (0.352) -0.366 (0.996)
N of Family Members 0.133 (0.114) 0.073 (0.122) -0.492 (0.421) 0.112 (0.096) 0.008 (0.130) -0.142 (0.352)
Case / Observation 256 / 670 421 / 1,097
Source: KLIPS data wave6(2003) ~ wave17(2014) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
207
Table 7.10 Estimated Random-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013
2004 - 2008 2009 - 2013
Working Poor -> Exit
from In-Work
Poverty
Working Poor ->
Unemployment
Working Poor ->
Self-Employment
Working Poor -> Exit
from In-Work
Poverty
Working Poor ->
Unemployment
Working Poor ->
Self-Employment
Constant 4.477 (2.383)* -4.516 (2.457)* -19.341 (17.183) 0.512 (1.061) -7.292 (2.235)*** -6.074 (3.608)*
Duration in Working Poor 1.093 (0.425)*** 0.969 (0.435)** 4.328 (4.493) 0.813 (0.299)*** 1.199 (0.458)*** 0.532 (0.797)
Duration*Duration -0.020 (0.058) -0.039 (0.057) -0.208 (0.459) -0.015 (0.038) -0.066 (0.050) -0.031 (0.118)
MW Application or not* Log
Real MW 0.031 (0.041) -0.009 (0.041) -0.015 (0.269)
-0.061 (0.027)** 0.015 (0.036) 0.031 (0.082)
Sex (ref. is male)
Female -0.683 (0.479) 0.115 (0.455) -3.679 (5.191)
0.110 (0.272) -0.065 (0.350) -1.358 (0.836)
Age -0.114 (0.036)*** 0.025 (0.034) 0.223 (0.249) -0.041 (0.015)*** 0.073 (0.026)*** 0.039 (0.041)
Edu (ref. is middle & lower)
High School & higher 1.241 (0.413)*** 0.294 (0.446) 0.211 (3.743)
0.539 (0.246)** -0.222 (0.380) -0.999 (0.941)
Householder or not (ref. is
no)
Householder -0.364 (0.524) 0.383 (0.509) -6.642 (6.311)
-0.023 (0.316) 0.092 (0.440) -0.316 (1.151)
Number of Family Members 0.129 (0.149) 0.036 (0.154) -1.840 (2.214) 0.116 (0.110) -0.003 (0.154) -0.212 (0.382)
σ²ᵥ0 1.167 (0.900) 0.542 (0.459)
σᵥ01, σ²ᵥ1 -0.260 (0.531) 1.355 (0.942) 0.037 (0.476) 1.186 (1.700)
σᵥ012, σᵥ12, σ²ᵥ2 -2.517 (5.701) 3.859 (5.903) 93.297 (109.890) -0.149 (0.565) 0.525 (1.691) 1.424 (2.150)
Deviance (MCMC) 768.713 1,423.657
Case / Observation 256 / 670 421 / 1,097
Source: KLIPS data wave6(2003) ~ wave17(2014) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1
208
estimate was small relative to its standard error, there is no evidence of a correlation
between the unobserved individual-level characteristics affecting the chance of exits
from in-work poverty and those affecting the risk of a transition to other states.
Overall, high increases in the minimum wage had no significant impact on the
distribution of family earnings of older employees. Rather, marginal increases in the
minimum wage were responsible for the rise in the median of older employees’ family
earnings, which was presumably below 60 per cent of the median of family earnings for
all employees, in regions with a high fraction of older employees who were paid below
the minimum wage. High increases in the minimum wage also had no significant effect
on exits from in-work poverty among older employees, but small increases in the
minimum wage marginally reduced the chance for older employees in poverty to exit
from it. All the results were consistent, assuming that income from labour would take up
the majority of houshold income in an older employee’s household in poverty. However,
the results of the effect on the distribution of family earnings for the first five-year
period may not provide a convincing evidence on the impact of high increases in the
minimum wage, considering the facts that even marginal increases in the minimum
wage had a significnat effect on the increase in the median of older employees’ family
earnings and also that regional change in the employment rate significantly affected the
distribution of older employees’ family earnings for the first five-year period. It may
imply, as mentioned earlier, that if a factor associated with the regional change in the
employment rate among older employees, such as new employment of older employees’
partners, is controlled, the increase in the minimum wage might have a significant effect
on some percentiles of family earnings of older employees. Furthermore, the findings
from OLS and fixed-effects models at the regional level, including the results of the
effects on the distribution of wages and on employment and unemployment rates,
should be cautiously reviewed because the difference from each corresponding
comparison group was not reflected in the models. An ideal method to provide
convincing evidence of minimum wage effects and the extent to which the findings
answered to the two research questions addressed will be briefly discusssed in the last
section.
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Conclusion
This chapter examined the effects of the minimum wage on the distributions of wages
and family earnings, employment, and exits from in-work poverty among older
employees. Regardless of the rate of increase, the minimum wage created a spike at or
around the minimum wage in the distribution of wages for older employees, but a large
proportion in the distribution left below the minimum wage. High increases in the
minimum wage had significant effects on middle percentiles of wages among older
employees while low increases in the minimum wage had only on the median of wages
among them. Further, high increases in the minimum wage reduced marginally and
significantly the wage gap between the highest wage bracket and the lowest or lower-
middle wage brackets but changed ambiguously the gap between the middle and lowest
wage brackets. Low increases in the minimum wage had marginal and significant
effects on the wage gap between the highest wage bracket and the lowest or middle
wage brackets. In terms of the employment effects, there was no significant correlation
between the increase in the minimum wage and regional changes in employment or
unemployment rates among older employees for the period with highest rates of
increase in the minimum wage. By contrast, low increases in the minimum wage were
negatively and significantly correlated with regional changes in unemployment rates
among older individuals. As regards the effects on the distribution of older employees’
family earnings, no significant effect was found for the period with high increases in the
minimum wage, whereas low increases were responsible for the rise in the median of
older employees’ family earnings. Further, high increases in the minimum wage had no
significant effect on exits from in-work poverty among older employees’ households,
and small increases in the minimum wage marginally but significantly reduced the
chance for older employees’ households in poverty to exit from it.
All the results were obtained from appropriate methods with consideration for the
institutional peculiarities of the Korean national minimum wage. However, whether the
results provide convincing evidence on minimum wages effects for older workers,
particularly regarding the distributional effects on wages and family earnings and
employment effects obtained from OLS and fixed-effects models at the regional level,
should be reviewed. If equivalent data are available for before the introduction of the
210
minimum wage or for regions or sectors with no application of the minimum wage, the
models can be tested for the difference between times in the difference between the
various percentiles of wages and family earnings or employment and unemployment
rates before the introduction of the minimum wage or in regions/sectors where it is not
applied and their counterparts after the introduction or in regions/sectors with an
increase in the minimum wage. The estimates from the models with the dependent
variables which allow for the difference between treatment groups and comparison
groups can provide robust evidence of minimum wage effects. The findings from the
analyses in which no comparison group was set up thus can be assumed to inform of
high plausibility as regards minimum wage effects by the accordance within the results.
By comparsion, the event history analyses at the individual level directly addressed the
concerned transitions, and thus the results can be regarded as evidence of minimum
wage effects for older employees. However, as mentioned earlier, if the research focus
of employment effects includes the effects on new hires, or the research interest is
extended, based on the results for exits from in-work poverty, to whether an increase in
the minimum wage brings about the flow into in-work poverty, further examinations are
needed by creating multiple starting points in individuals’ transitions. These are left as
future research topics as regards minimum wage effects on older workers.
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Chapter Eight Political Economy of the Impact of Minimum Wages
Introduction
This chapter explores the third research question, how the empirical results of the
minimum wage effects on older workers can be understood, based on the political
economy framework proposed in Chapter Five. Before going into the contextual
analysis employing the framework for understanding the effects found in Chapter
Seven, they are comprehended on the basis of economic predictions and the general
rules in the economy and the labour market. In this section, to what extent the empirical
results can be understood by the mainstream economic theories’ explanations of
minimum wage effects and in what sense further accounts are needed will be discussed.
Then, the empirical results are interpreted through the contextual analysis of the implicit
characteristics of the minimum wage under each government. In as much as the main
goal of minimum wage policy is low paid workers’ financial well-being, the discussion
in the contextual analysis targets at comprehensive effects of the minimum wage for
older employees in each five-year period, rather than at the results concerning
individuals examined in the quantitative analyses.
Economic Interpretation of the Empirical Results
Although some were presented in the previous chapter, an economic understanding of
the empirical results is needed to figure out what can be explained by the dominant
economic theory and what needs to be further explained. In terms of effects on the wage
distribution among older employees, spikes at or around the minimum wage but a
significantly large proportion in the left tail of the wage distribution indicate that an
increase in the minimum wage had a limited distributional effect with a large level of
noncompliance. As mentioned in Chapter Seven, the proportion of workers paid below
the minimum wage is partly related to the sub-rate for surveillance or intermittent work
and the unconventional avoidance of paying the minimum wage in the transportation
212
sector in South Korea. Yet the fact that a sizable portion of older workers were paid
much less than a minimum wage points to widespread noncompliance among employers
who hire older workers. Since there are no official data sources to show the state of
noncompliance, its size and causes are not known. It might be assumed that the level of
a minimum wage is above the one that small businesses can afford to pay for labour.
However, if noncompliance for older employees occurred with a wage policy of
different pay for equal work among employers hiring older workers, why
noncompliance with the minimum wage is prevalent particularly for older employees
should be explained.
The results of the minimum wage effects on the wage distribution among older
employees for the two five-year periods indicate that an increase in the minimum wage
makes an ambiguous change in their lowest wage bracket, regardless of its rate of
increase, and a minimum wage functions as a wage floor for their wage differentials in a
different manner, depending on its rate of increase. The fact that high increases in the
minimum wage raised the various percentiles of wages from the lower-middle to the
upper-middle whereas low increases did only the median wage of older employees and
that the two indicators of an increase in the minimum wage had contracting effects on
the wage distribution among older employees, can be explained by different pressure
that firms face with regard to an increase in the minimum wage, as mentioned in
Chapter Seven. That is, the high increases impose more pressure on firms hiring older
workers to lift wages from the bottom, but such pressure becomes relatively weakened
with the low increases in the minimum wage, leading to ambiguous spillovers. Firms’
different pressure in terms of the level of increase in the minimum wage is based on
their concern about human resource available. This seems to make firms focus more on
the level of wages within each group of workers with different qualifications and skills
and wage differentials between them, rather than compliance with the minimum wage.
This account also provides good insights into the results of the wage gap among older
employees. Assuming that the results for the various percentiles of wages are the
outcome of employers’ different response to different level of increase in the minimum
wage, the reduction of the wage gap between the upper wage bracket and the lowest or
the lower-middle wage brackets, plus the ambiguous change in the gap between the
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middle and the lowest wage brackets for the first five-year can be regarded as the
consequence of wage rises in the lowest wage bracket likely as much as the one in the
middle wage bracket and the rise in the lower-middle percentiles by the high increases
in the minimum wage. By contrast, the marginal reduction in the wage gap between the
upper wage bracket and the lowest or the middle wage brackets for the second five-year
period can be regarded as the outcome of the ambiguous change in the lowest wage
bracket, the wage rise in the middle wage bracket, and the insignificant but falling
tendency in the upper percentile of wages of older employees by the low increases in
the minimum wage. Despite this understanding of the effects on the wage distribution
among older employees, why firms are indifferent to compliance with the minimum
wage in spite of its legal sanction still remains to be answered.
The results that no disemployment effect was found either at the regional level or at the
individual level, regardless of the level of increase in the minimum wage, bring up the
possibility that older workers experience monopsonistic conditions in the labour market.
Compared to younger workers, the number of firms and the scope of industries which
offer jobs to older workers are more restricted, and the job search frictions in the labour
market which lead to imperfect information about the wages provided by employers is
more likely among older workers due to their limited computer literacy and propensity
not to make big job moves. These may support the critical assumption of monopsony
models that the elasticity of labour supply is not perfectly infinite, and thus a
monopsonist faces an upward-sloping labour supply curve. The point that wages among
older workers are distributed at much lower levels than among younger workers may
also indicate that monopsonistic market equilibrium wage is applied to older employees.
However, as critics of monopsony models argue, it is questionable that small employers
hiring low paid older workers have sufficient market share to have monopsonistic power
over wages. Furthermore, even if all the above assumptions of monopsony models are
acknowledged as true for older workers, the neutral employment effects found in both
five-year periods with very different levels of increase in the minimum wage is not
properly explained with the monopsony model in which a minimum wage set at the
point where the marginal cost of labour curve meets the marginal revenue product of
labour curve has a neutral employment effect. Provided that the annual growth rate of
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wages for all employees roughly substitutes for the point that the marginal cost of
labour curve meets the marginal revenue product of labour curve, a reduction in
employment should have been caused, at least during the first five-year period with one
of the highest rates of increase in the minimum wage. For the minimum wage was
raised twice as fast as the average annual wage for all employees during the first-five
years, whereas the rate of increase in the minimum wage was as much as the annual
growth rate of wage for all employees in one year and much less in another year during
the second five-year period.1 In this regard, no disemployment effect among older
employees, irrespective of the level of increase in the minimum wage, still remains to be
further explained.
With regard to household income, high increases in the minimum wage had no effect on
the distribution of family earnings of older employees. Instead, regional change in the
employment rate of older employees had a substantial impact on the distribution of their
family earnings for the period with high increases in the minimum wage. Considering
the results for the second five-year period that low increases in the minimum wage
significantly raised the median family earnings of older employees in regions with a
high fraction of those paid less than the minimum wage, no effect of high increases in
the minimum wage may not be concluded. As stated earlier in Chapter Seven, if an
additional covariate, such as new employment, including self-employment, of older
employees’ partners, is controlled, the significance of the indicators of an increase in the
minimum wage might partially revive. This supposition is roughly supported by the fact
stated in Chapter Six that many women started to engage in the labour market in order
to prepare for plausible financial shortages in their family as the labour market became
dramatically insecure from the early 2000s. Nonetheless, such an account provides only
a partial clue to the insignificant effects on the distribution of family earnings among
older employees and does not directly address how the effects of high increases in the
minimum wage were restrained. By comparison, the result that low increases in the
minimum wage for the second five-year period increased the median family earnings
among older employees suggests that even a marginal increase in the minimum wage
would give some benefits directly to their low-income households, in that the median
family earnings for older employees are much lower than the median for all employees.
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This is because older workers affected by an increase in the minimum wage are more
likely to be breadwinners in their families, unlike their younger counterparts. However,
the reduction in the chance for older employees to exit from in-work poverty by an
increase in the minimum wage was inconsistent with the results for the distribution of
family earnings among older employees for this period. A large proportion paid less
than the minimum wage could give a clue to the result for their exits from in-work
poverty, but the significant increase in the median family earnings among older
employees had the potential to improve their chance to exit from in-work poverty. These
insufficient explanations as regards older employees’ family earnings and exits from in-
work poverty ultimately address the questions of how the minimum wage operates in
practice and for what.
As reviewed in Chapter Five, the mainstream economic explanations stress that
employment effects as well as the distributional effects should be allowed for when we
explore the minimum wage effects on workers’ welfare. Although the quantitative
analyses did not address minimum wage effects on new hires among older workers, the
fact that no disemployment effect was found at both regional and individual levels
implies that older employees’ overall well-being may not decline as a result of the
disemployment effect of the minimum wage. In particular, the insignificant effect on the
transition from in-work poverty to unemployment or self-employment/non-wage family
business work among older employees, regardless of the level of increase in the
minimum wage, suggests that a more skilled older workers’ employment is not at the
expense of raising the risk of unemployment for other less skilled employees. This
indicates that, with regard to the increase in the minimum wage, older employees’
welfare is likely to be more involved in its distributional effects than its employment
effects, which also leads to great stress on the issue of how the minimum wage operates
in practice and for what. The issue is fundamentally related to the policy process of
decision-making and implementation. The questions and issues addressed in this section
will be further discussed in the rest of this chapter, through a contextual analysis
focusing on the minimum wage fixing process.
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Political Economy Construction of the Minimum Wage Effects
The economic understanding of the empirical results leaves the questions of why the
increase in the minimum wage does not negatively affect older employees’ employment,
regardless of its level of increase, why noncompliance with the minimum wage
significantly exists among older employees, regardless of its level of increase, despite
the legal sanctions, and ultimately how the minimum wage operates in practice and for
what. Considering that two ideologically opposing administrations reigned during the
two five-year periods and that the minimum wage is a public policy shaped by political
orientation and power as well as by economic forces, those questions are explored with
the political economy framework proposed in Chapter Five. This contextual analysis
starts with a discussion of government political orientation as regards the policy,
particularly economic and labour policies, which alludes the direction of the minimum
wage in its fixing and implementation. Note that the main adjustments to minimum
wage policy and major political economic developments stated below are summarised
in Appendix 12.
Government Political Orientation
The two administrations which were included in the research periods of the empirical
study are based on contrasting political ideologies. The Roh, Moo-Hyun administration
from 2003 to 2008 was the second progressive (centre-left) government in Korean
political history, and the Lee, Myung-Bak administration from 2008 to 2013 was a
conservative one. Notwithstanding the difference in the general political orientation and
the broad policy stance, economic and labour policies in both administrations were
commonly oriented towards neoliberalism, which stressed a market-centred economy
regulated by the private sector rather than the public sector, by means of small
government, the enhancement of business efficiency, trade liberalisation, market
openness, privatization, devaluation and deregulation.2
The Roh, Moo-Hyun Administration (2003-2008)
Although President Roh, Moo-Hyun clearly defined his administration as progressive3,
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the appraisal of his administration’s economic policy has been controversial until
recently. This controversy results from the fact that the administration used neoliberal
market-driven policies mixed with Keynesian interventionist ones (Kim, K-O, 2011).
Real estate policies and safety net policies were led by government interventions during
his period in office, but the Roh administration maintained the neoliberal economic
policies which the Kim, Dae-Jung administration, following the International Monetary
Fund (IMF)’s strong recommendation under its bailout programme with the 1998
Korean financial crisis, had introduced for the reform in finance, chaebol (Korean
conglomerates), the public sector, and labour (Kim, K-O, 2011). From the beginning of
the Roh administration, economic growth was put at the top of its agenda (Kim, K-O,
2011), and it proposed an advance toward ‘the era of a twenty thousand dollars GDP per
capita [국민소득 2만불 시대]’ as the top priority of the policy objective which was, as
widely known, from The Agenda of Government Policies and State Affairs [국정과제와
국가운영에 관한 아젠다], an approximately 400 page-long report suggested to Roh, the
then president-elect, by the Samsung Economic Research Institute (SERI), a private
think tank within the Samsung Business Group (Jeong, S-H, 2008, p.29). Monetary
market liberalisation aiming at a conversion into an East Asian financial hub, the
expansion of trade liberalisation through the free trade agreement (FTA), and the
deregulation of chaebol were major neoliberal strategies for achieving the objective that
the Roh government adopted (Yoo, T-H, Park, J-H, Kim, S-H and Lee, S-H, 2008,
quoted from Kim, K-O, 2011).
The East Asian financial hub plan was set seal on in December of 2003 with the goal of
setting up the institutional foundation for the financial hub by 2007, constructing asset
management industry-specialised financial hub by 2012, and developing South Korea as
one of the big three financial hub in Asia by 2020 (The National Economic Advisory
Council [국민경제자문회의], 2007, p.225)4. Based on this roadmap, the Roh
government focused on building the institutional infrastructure for the growth of
financial market, such as ‘the capital market consolidation act [자본시장통합법]’ and
the liberalisation of foreign exchange transactions. The Financial Investment Services
and Capital Markets Act [자본시장과 금융투자업에 관한 법률], so called, the capital
market consolidation act, was legislated in July of 2007, replacing six of the then
218
sixteen existing financial business laws, including the Securities and Exchange Act [증
권거래법], the Futures Trading Act [선물거래법], the Indirect Investment Asset
Management Business Act [간접투자자산운용법], the Trust Business Act [신탁법업],
the Korea Securities and Futures Exchange Act [한국증권선물거래소법], and the
Merchant Banks Act [종합금융회사에 관한 법률] (The Ministry of Strategy and
Finance [기획재정부]). The act introduced the negative list system, ‘which allows all
products and practices except those that are specifically prohibited (OECD, 2008,
p.111)’ into financial investment goods (The National Economic Advisory Council [국
민경제자문회의], 2007, p.226), which led to a broadening of the scope of investment
products, allowed a single firm to have the cross-ownership of securities, asset
management, futures, merchant banks, and trust businesses, except banking and
insurance, which would help Korean financial investment firms to grow up comparable
to the global firms, such as Goldman Sachs and Morgan Stanley (Cho, S-H, 2007, p.21;
Kim, D-H, 2008). The introduction of the negative list system into financial investment
goods also converted regulations that had applied to financial institutions and thus
contained the possibility of ‘regulatory arbitrage ’ into ‘functional regulation, under
which a single regulation is imposed on a single investment service regardless of the
institutions that provide it ’(Cho, S-H, 2007, p.21; Kim, D-H, 2008). The Roh
government also expanded the liberalisation of foreign exchange transactions through
switching over from the capital transactions approval system to a reporting system in
January, 2006 (The National Economic Advisory Council [국민경제자문회의], 2007,
p.226), raising the ceiling on total foreign property purchases for the purpose of
investment in February, 2007 and at the same time, relaxing the procedural requirement
for outward direct investment (Oh, J-R, 2010).
The Korea-U.S. FTA is also a representative neoliberal policy that the Roh government
carried out in as much as it required an opening of the domestic market, ultimately in
full scale, through trade liberalisation (Kim, K-O, 2011, p.290). The government set up
the road map for the FTA in March, 2003, and revised it in May, 2004 as a change in the
international trade environment was sensed in the course of the Doha Development
Agenda (DDA) negotiation among the World Trade Organization (WTO) members,
which proceeded with difficulty (Myoung, J-H, Jeong, H-S, Je, H-J and Moon, S-G,
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2014, p.4). The road map aimed at reaching an agreement with countries which were
able to immediately begin the negotiation, such as Singapore, Japan, Mexico, Canada,
the European Free Trade Association (EFTA) states (Iceland, Liechtenstein, Norway,
and Switzerland), for a short-term plan, and with countries which belonged to a large,
advanced economic bloc, such as the United States, the EU states, and China, for a
mid/long-term plan (The Federation of Korean Industries [전국경제인연합회], 2004,
pp.5-6; Myoung, J-H, Jeong, H-S, Je, H-J and Moon, S-G, 2014, p.4). Ultimately,
countries with a large, advanced economy, particularly the United States, were the key
targets in the FTA plan since the Roh government perceived the FTA as a new strategy
for economic growth under the US-led neoliberal order of international economy (Kim,
K-O, 2011). It was expected that, facing China’s rapid economic growth based mainly
on manufacturing, the rearrangement from manufacturing industry-centred economic
structure with high dependence on exports to a service industry-driven one would be
achieved by adopting the advanced service industry through the FTA with the United
States, and this would lead to a new growth drive and job creation (Lee, B-C, 2006).
Until 2007, the Roh government achieved the conclusion of the FTA with 16 countries,
including the United States and the EU, and preliminary negotiations with about 40
states (Kim, K-O, 2011, p.291). However, the results of the negotiation with the United
States fell short of expectations in terms of opening the service sector as the former
president Roh and trade experts pointed out and the Financial Times commented ‘not a
big deal’ on the Korea-U.S FTA (Kim, Y-H, 2007).
The growing importance of business competitiveness under the neoliberal order of
international economy drove the Roh government to turn its regulatory policy on
Chaebols into deregulation of them (Kim, K-O, 2011). Facing the persistent demand
and pressure from business and the worsened polarisation of wealth with the rise in
unemployment, the government relaxed the regulations of large business in practice
between 2004 and 2007 in order to induce their expansion of investment and
employment (Kim, K-O, 2011, p.294). The Monopoly Regulation and Fair Trade Act
[독점규제 및 공정거래에 관한 법률] amended in 2004 extended the scope of
exemption from the regulations governing the ceiling on total equity investment [출자총
액제한제도] and lowered the minimum share that a subsidiary company was required to
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hold for its own subsidiary (Sung, T-Y and Kim, W-C, 2008, p.128). The further
revision of the Act in 2007 sharply scaled down the scope of business entities subject to
the equity invest limit from all affiliates to a business group with assets of over 6 trillion
won (about £ 4 billion or $ 5.3 billion at the exchange rate of June, 2017) to companies
with assets of over 2 trillion won affiliated to a business group with assets of over 10
trillion won and raised the ceiling on the total amount of investment from 25 per cent of
net worth to 40 per cent (Kim, C-H, 2007; Lee, S-K, 2007; Sung, T-Y and Kim, W-C,
2008, p.128; Kim, K-O, 2011, p.295). Varieties of regulations for a holding company
were also relieved, including easing debt-to-equity ratio limit [부채비율한도 완화] and
lowering the minimum share in its subsidiary company [자회사에 대한 최소지분율 하
향조정] (Sung, T-Y and Kim, W-C, 2008, p.128).
The labour policy of the Roh, Moo-Hyun administration initially aimed at the creation
of decent work, the construction of industrial relations for social integration, and the
improvement of quality of life, through introducing labour rights at the level of global
standards, relieving discrimination against non-regular workers, and adjusting the
minimum wage rate to a realistic level. But, the policy was radically altered into ‘the
subordinate neoliberal approach’ [종속적 신자유주의 노동체제] (Roh, J-K, 2006, p.11)
within four months after the administration taking office. The approach included wage
cuts through shortened working hours, labour market flexibility, the restriction on civil
servant unions, the expansion of non-regular work, and the exclusion of labour from the
policy-making process (Cho, D-M, 2006; Roh, J-K, 2006). Dealing with the issue of the
Doosan Heavy Industry and Construction worker who burned himself as a plea for just
treatment, the first rail strike, and the first unionised cargo truckers strike, which
occurred around the launch of his administration, Roh showed his strong intent to
reform industrial relations. However, as the second rail strike, the strike of the Korean
Teachers and Educational Workers’ Union against the National Education Information
System (NEIS), and the second unionised cargo truckers strike proceeded shortly, the
Roh government’s inclusionary labour policy was completely abandoned (Roh, J-K,
2006, p.4). Instead, amending the Labour Standards Act [근로기준법] in August, 2003
the government reduced working hours from 44 hours a week to 40 hours, which led to
a wage cut among employees (Cho, D-M, 2006, p.197). But, in the amended Act, wage
221
preservation provision was not clearly defined. Rather, the unit term to operate
exceptions in applying working hours was extended from one month to three months ,
the number of paid leave was adjusted, and menstrual leave was changed from paid to
unpaid in order to prevent labour costs from increasing (Kim, S-T and Kim, W-S, 2004).
Also, the phased enforcement of the amendment was at odds with the original purpose
of the prevention of working long hours because it applied to small and medium-sized
firms, where working hours was typically very long, seven year later than its first
enforcement. The Roh administration’s labour policy switch was formulated by ‘the
advanced industrial relation plan’ [노사관계선진화개혁방안], which was whomped up
in one month autonomously by the Ministry of Employment and Labour and announced
in September, 2003 (Roh, J-K, 2006, pp.5-6). The major feature of this plan was to
legally institutionalise the so called, ‘employers’ right to resist labour disputes’ [사용자
대항권] with the aim of minimising the cost occurred from the conflict between
employers and employees, reinforcing flexibility in the labour market, and establishing
law order in industrial relation (Roh, J-K, 2006, p.6; Cho, D-M, 2006, p.205). In the
same vein, the Roh government brought in a bill on the protection of non-regular
workers [비정규직 보호법안] in August, 2004 (Roh, J-K, 2006, p.7) and the bill on the
establishment and operation, etc. of public officials’ trade unions [공무원의 노동조합
설립 및 운영에 관한 법안] in October of the same year (The Confederation of Korean
Government Employee's Unions [대한민국공무원노동조합총연맹], 2015). The key
point of the bill on the protection of non-regular workers which was legislated later into
three laws, the Act on the Protection, etc. of Fixed-Term and Part-time Workers [기간제
및 단시간근로자 보호 등에 관한 법률], the Act on the Protection, etc. of Temporary
Agency Workers [파견근로자보호 등에 관한 법률], and the Labour Relations
Commission Act [노동위원회법] was that a temporary, non-regular workers in service
for 2 years should be changed to a permanent, regular position. But, employers can
discharge a temporary, non-regular worker in service for less than 2 years legally under
the laws, leading to mass dismissal. The bill on public officials’ trade unions restricted
the membership of civil servant unions to those who were involved only in general
service but in direction and supervision, limited agenda for collective agreements, and
banned political and collective actions (Roh, J-K, 2006, p.7; The Confederation of
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Korean Government Employee's Unions [대한민국공무원노동조합총연맹], 2015).
The Lee, Myung-Bak Administration (2008-2013)
The former president Lee, Myung–Bak claimed to stand for neoliberalism as the
keynote of economic policy from the period of his president-elect, such as ‘small
government and big markets’, privatisation, deregulation, welfare reduction, and
flexible labour market. More precisely, the neoliberalism that the Lee government
practised for its first priority aim of economic growth was a modified neoliberal
approach combined with development idea which was reminiscent of state economic
management for development in the 1960s in Korea (Lee, G, 2008; Lee, J-K, 2013,
p.63). The most critical goal of the Lee administration was to achieve the, so called,
‘747 election pledge [747 공약]’ which referred to sustained economic growth of 7 per
cent, the era of a 40 thousand dollars GDP per capita, and the entry to the top 7
advanced states in the world. The Lee government employed as the main measures for it
tax reduction, low interest, devaluation of Korean currency, business-friendly policies,
and ‘the Four Major Rivers Restoration Project’[4대강살리기사업], the government’s
multi-purpose Green New Deal project on Han River, Nakdong River, Geum River and
Yeongsan River.
The Lee government announced the tax reform plan in September, 2008, aimed at
increasing business investment and consumption in high-income bracket, expecting it
leading to a trickle-down effect (Hwang, K-S and Kang, B-I, 2014, p.122). Amending
the Income Tax Act[소득세법], the Corporate Tax Act [법인세법], and the Gross Real
Estate Tax Act [종합부동산세법] in December, 2008, the government gradually lowered
the income tax rates of all income brackets by 2 per cent, increased the deduction
amount per capita of income tax from 1 million won to 1.5 million won (about £ 670 or
$ 870 at the exchange rate of July, 2017), raised the corporate taxable income from 100
million won to 200 million won (about £ 134,200 or $ 174,000 at the exchange rate of
July, 2017), lowered corporate tax from 13 per cent to 10 per cent for those with taxable
income of 200 million won and less and from 25 per cent to 20 per cent for those with
income of more than 200 million won, increased the criterion of the high-grade house
for the real estate transfer tax from 600 million won to 900 million won (about
223
£ 603,800 or $ 783,000 at the exchange rate of July, 2017), reduced the upper limit of
imposing the real estate holding tax from 300 per cent of the payment in the previous
year to 150 per cent, and lowered the inheritance and gift tax rate from 10~50 per cent
to 6~33 per cent (The Ministry of Strategy and Finance [기획재정부], 2008).
The Lee administration also gradually lowered interest rates and weakened the Korean
won against the major foreign currencies, such as the US dollar, in order to increase
exports. On average for the five-year period, the government kept the Korean Bank base
rate of 3.25 per cent and decreased the Korean won rate against the US dollar by about
24 per cent compared to the rate of 2007. These interventions not only led to an increase
in exports, which was regarded as a main means of overcoming the global financial
crisis in 2008, but also brought about rises in consumer prices. In this regard, the Lee
administration has been criticised to have fattened business at the expense of the
ordinary people’s lives (Yoo, S-J, 2011). Its business-friendly policies are also found in
the revision of regulations that the business had longed for in addition to corporate tax
cut. In March, 2009, the regulations governing the ceiling on total equity investment [출
자총액제한제도] was abolished by removing Article 10 of the Monopoly Regulation
and Fair Trade Act [독점규제 및 공정거래에 관한 법률] in March, 2009 (Choung, W,
2014, p.104). Separation of industrial and financial capital [금산분리] was also relaxed
through amending the Financial Investment Services and Capital Markets Act [자본시장
과금융투자업에 관한 법률] and the Financial Holding Companies Act [금융지주회사
법] in June and July of the same year, respectively, which allowed non-financial holding
companies to have a financial subsidiary (Cho, Y-H, 2015, p.20).
Along with the financial intervention and the reorganisation of legislation, the Lee
administration pushed forward the Four Major Rivers Restoration Project [4대강살리기
사업] for pump-priming of the economy and job creation. The project was also in line
with labour policy of the government which will be discussed below, in as much as the
Lee administration pursued welfare through work and stressed ‘active labour market’. It
was a Korean New Deal policy in which 22.2 trillion won (about £ 14.92 thousand
million or $ 19.29 billion at the exchange rate of July, 2017) were thrown from
December, 2008 to April, 2014 (The Four Major River Project Investigation &
224
Evaluation Committee [4대강사업조사평가위원회], 2014, p.4). Although the opposition
parties, environmental organisations, and religious circles impugned the effectiveness of
the project and public opposition against it was greater than supports5, the Lee
government claimed under the banner of ‘Green Growth’ that 340-thousand new jobs
were expected with the reactivation of the construction market, local economy around
the four major rivers would revive with tourism, and all the benefits would lead to
boosting the national economy (Gil, J-B, 2014, pp.994-995). However, the appraisal of
its environmental effects has been highly controversial, and economic effects are also
ambiguous in as much as the evaluations of the ripple effects on production and
employment vary by research.6
The labour policy that the Lee administration adopted was also characterised by the
combination of neoliberalism and authoritarian state intervention (Cho, H-R, 2013). In
March, 2008, the Lee government proposed three key agenda on labour policy,
‘advanced industrial relationship [노사관계 선진화]’, ‘active labour market [활력있는
노동시장]’, and ‘employee-friendly labour administration [국민을 섬기는 따뜻한 노동
행정]’ (The Ministry of Labor [노동부], 2008). As against the rhetoric, the government’s
top priority was the rearrangement of industrial relations and policies for flexible labour
market. The government made public agencies amend their collective agreement and
counted the revision into agency evaluation, in line with its plan for public agency
advancement [공공기관 선진화 방안] in 2008 which mainly included privatisation,
merger, abolishment, function adjustment, and personnel reduction (The Ministry of
Strategy and Finance [기획재정부], 2012; Cho, H-R, 2013, pp.231-232). This brought
about the reduction in paid leave, the introduction of the annual salary system, and the
contraction of union activity, which led to conflicts between employers and employees
in the public sector (Cho, H-R, 2013, p.232). The Lee government also revised the
Trade Union and Labour Relations Adjustment Act [노동조합 및 노동관계조정법] in
January, 2010 and enforced the provision of banning payment to full-time union
officials, which had been deferred for 13 years, by the new ‘paid time-off’ system which
allowed the union officials’ time-off only for negotiation and consultation between
employers and employees, adjustment of grievance, and safety performance (The
Ministry of Strategy and Finance [기획재정부], 2012, p.214). With the revision of the
225
Trade Union Act, the multiple trade union system was also implemented in July, 2011
(The Ministry of Strategy and Finance [기획재정부], 2012, p.215). This system allowed
workers to set up more than one trade union in a single company, but the multiple
unions in a company had to appoint their representative bargaining unit when they
negotiated with their employer. These series of legal changes brought about weakening
trade unions’ activities and restricting bargaining rights of industry-based unions and
minority unions (Cho, H-R, 2013, pp.233-234).
For active labour market policies, the Lee government focused not only on job creation,
but also on the deregulation of employment rules and the flexibility of working hours
under its perception that the barrier of job creation was labour market rigidity. Facing
the sharp fall in employment caused by the 2008 global financial crisis, the Lee
government made a turning point in labour market policy in 2009 through increasing
spending in the government-funded job programme by 93.4 per cent compared to the
previous year and injecting over 13.4 trillion won (about £ 9.04 billion or $ 11.65 billion
at the exchange rate of July, 2017) (Joo, M-H, 2015, p.7). Among the government-
funded programmes which consisted of direct job creation, vocational training,
employment service, employment promotion subsidies, start-up assistance, and income
maintenance for the unemployed (Lee, K-Y, Kang, C-H, Kim, H-W, Kim, H-A, Park, S-
J, Chang, H-I, Lee, H-C and Oh, S-H, 2013, p.1), direct job creation and employment
promotion subsidies were the core government undertakings. In 2009, 3.7 trillion (about
£ 2.5 billion or $ 3.22 billion at the exchange rate of July, 2017) and 2.06 trillion won
(about £ 1.4 billion or $ 1.8 billion at the exchange rate of July, 2017) were spent for
each of the two which was increased by 165.7 per cent and 110 per cent, respectively,
compared to 2008 (Joo, M-H, 2015, p.7). Although the government-funded job
programme was also in line with the government keynote policy of ‘welfare through
work’, its outcome was merely a superficial achievement in employment rate in as much
as jobs created by the programme, particularly through direct job creation, were mostly
temporary, low paid ones. Meanwhile, in July, 2009, the government attempted to
extend the employment contract terms of temporary and agency workers to 3-4 years
(Cho, H-R, 2013, p.235) by revising the Act on the Protection, etc. of Fixed-Term and
Part-Time Workers [기간제 및 단시간근로자 보호 등에 관한 법률] and the Act on the
226
Protection, etc. of Temporary Agency Workers [파견근로자보호 등에 관한 법률] under
which workers should be converted into permanent position after the 2-year
employment contract term. But it was frustrated facing resistance from the opposition
party and trade unions who were concerned about mass production of non-regular,
temporary jobs. In October, 2010, the Lee government published the National
Employment Strategy 2020 [국가고용전략 2020]. This included introducing ‘saving
overtime for leave scheme [근로시간저축휴가제]’, expanding ‘flexible work schedule
[탄력적 근로시간제]’, broadening the scope of dispatch-permitted services, promoting
private recruitment agencies, and advising to hire part-time workers in the public sector
(Cho, H-R, 2013). The expansion of dispatch-permitted services and the promotion of
private recruitment agencies were not implemented because of the trade unions’ strong
resistance. However, the ‘saving overtime for leave scheme’ under which workers were
able to use overtime hours worked for leave when needed or to fill the time with
overtime after leave was enforced in July 2011 (Korea Government, 2010; Cho, H-R,
2013, pp.236-237). At the same time, the unit term of the ‘flexible work schedule,’
which allowed a worker to work for over 40 hours in a certain week without overtime
allowance, provided that his average weekly working hours for 3 months were no more
than 40 hours, was extended from 3 months to one year (Korea Government, 2010; Cho,
H-R, 2013, pp.236-237). In May, 2011, the Ministry of Strategy and Finance advised
public agencies to hire part-time workers working less than 40 hours a week over 10 per
cent of new recruits and announced that the hire would be included in agency evaluation
(Korea Government, 2010; Cho, H-R, 2013, pp.236-237).
The Lee government’s third agenda for labour policy, ‘employee-friendly labour
administration,’ was in line with active labour market and included very broad,
comprehensive strategies for expanding flexible labour market (Roh, J-K, 2008, p. 6).
Among the strategies, ‘the reasonable minimum wage’ which referred to the change in
the minimum wage fixing criteria and methods favourable to employers was
incorporated (Roh, J-K, 2008, pp.6-7). This will be further discussed in the next section.
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The Dynamics of Power
Although both governments were under the strong influence of neoliberalism and still
‘played a role as ‘the preserver of social and economic order’ rather than ‘the arbitrator
of mediation’ in industrial relations’ (The Korean Industrial Relations Research
Association [한국노사관계학회], 2011, pp.30-31) as did the previous administrations,
their role as ‘preservers’ differed in degree, and the relations among government,
employers, and employees had a different complexion. As stated in earlier section, the
Roh government sought negotiation and compromise in the tripartite relations through
the Economic and Social Development Commission [노사정위원회], the presidential
advisory body consisting of government, employers’ organisations, employees’
organisations, and political parties. But it faced trade unions’ fierce opposition against
neoliberal policies through a series of massive demonstrations and strikes and
employers’ reservations about the government’s policy orientation which was
particularly based on the government’s anti-business sentiment, along with the
extension of economic structural power. By contrast, the Lee government excluded
labour from the policy process by weakening and distorting the function of the
Economic and Social Development Commission [노사정위원회] and actively and
publicly reflected the demand of employers’ organisations in the policy process and
decision-making (Roh, J-K, 2008). These relations were also displayed in the minimum
wage fixing process. Employers and employees stood off from each other with
relatively balanced power under the government’s endeavour of remaining neutral
during the period of the Roh government, while employers held a dominant position in
the minimum wage fixing process by taking advantage of the Lee government’s pro-
business propensity.
The Roh, Moo-Hyun Administration (2003-2008)
The Roh government’s fundamental principles for industrial relations were
‘communication and compromise based on the law and rules [법과 원칙의 토대 위에
대화와 타협]’ (The Korean Industrial Relations Research Association [한국노사관계학
회], 2011, p.37). However, trade unions maintained militant practices, and their series of
violent collective actions made the government hostile to labour, which led to the
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suspension of the Economic and Social Development Commission [노사정위원회]
between April, 2004 and June, 2006 (Roh, J-K, 2006). Employers ostensibly cooperated
in the government’s institutional provision for enhanced industrial relations by
participating in the tripartite commission but, in practice, adhered to the established
strategy to neutralise unions or preclude organising unions (The Korean Industrial
Relations Research Association [한국노사관계학회], 2011, p.36). Despite employees’
and employers’ non-cooperation, the government did not completely abandon its initial
principle for industrial relations and resumed the Economic and Social Development
Commission [노사정위원회] in June, 2006, although the Korean Confederation of Trade
Unions (KCTU, [민주노총]) among the two umbrella labour organisations in Korea was
excluded from the Commission (Roh, J-K, 2006). Based on the analysis of The National
Minimum Wage for the Year of OOOO: The Details of Deliberation and Decision
[OOOO년도 적용 최저임금 심의·결정경위], the Minimum Wage Council’s annual
report on minimum wage fixing process, the government’s reformist intent, employees’
militant behaviour, and employers’ reserved manner made for a tight dynamic of power
among the tripartite members in the minimum wage fixing and its system reform
process, which, as a result, led to higher increases in the minimum wage and the mutual
consent based on the fixing criteria under the law rather than through conventional
bargaining.
The government tried to reinforce its role as a substantial arbitrator in the minimum
wage fixing process to induce a rate and the system improvement under mutual
agreement. It diversified the composition of human resources among the public interest
members of the Minimum Wage Commission. Since the public interest members are
appointed by the President based on the Minister of Labour’s recommendation, they are
likely to represent the government’s interest. Before the Roh government, all of the
public interest members consisted only of experts in economics and business
administration, a few academics in law, researchers in government-funded institutions,
and permanent members of the Minimum Wage Council, an affiliated organisation of
the Ministry of Labour. An expert in the social field was included for the first time
during the Kim, Dae-Jung government, the former progressive administration between
1998 and 2003. This implies that the minimum wage had been fixed based on
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government interest in economic and business developments. Unlike the previous
governments’ practice, the Roh government not only enlarged the composition of
academics in other disciplines than economics and business, such as sociology and
social welfare, but also included the leader of a women’s rights group. This suggests
that the Roh government intended to include various public interests besides
government’s inclination and economic consideration in the minimum wage fixing
process. Furthermore, the fact that two among the nine public interest members walked
out and presented waivers in the first fixing decision under the Roh government when
the chairperson announced by authority a vote on two very different rates demanded by
representatives of employers and employees (The National Minimum Wage for the Year
of September 2003 to August 2004, p.7) serves as counterevidence of the government’s
neutral intervention in the minimum wage fixing process for social cohesion through
conversation and compromise. The point that the public interest members did not cast
all their votes for a rate proposed either by employer members or by employee members
in the following year also shows that they were not guided by the government in terms
of fixing a minimum wage rate. From 2005, the public interest members enlarged their
independent role in the fixing process, from exercising the casting vote to actively
offering a range of negotiable rates with consideration for the statutory minimum wage
fixing criteria, in order to reconcile the differences within their members and mediate
between employer and employee representatives.
The Roh government’s neutral stance in the minimum wage fixing process does not
mean that it never influenced the policy process nor presented its interest regarding the
minimum wage. The diversification in the composition of human resources among the
public interest members prompted the Minimum Wage Commission’s commitment to
the improvement of various issues in the minimum wage fixing process by increasing
the activities of committees inside and outside the Commission. As the Commission
decided in 2005 to ratify the suggestion made in the plenary session after a review by
the research committee, in response to the employee members’ demand to set up a new
committee for improving the minimum wage system (The National Minimum Wage for
the Year of September 2005 to December 2006, p.5), the function of the research
committee to aid the Commission’s deliberation became more active and wider. The
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members of the research committee are not the members of the representative groups in
the Commission but researchers from business organisations, labour bodies, and labour-
related research institutes who were appointed by the Minimum Wage Council. The
research committee mainly looked over the feasibility of the minimum wage by industry
and reviewed the annual study of living costs published by the executive office of the
Minimum Wage Council before the start of a deliberation period. However, as the
necessity of the discussion on the minimum wage system improvement was issued by
employee members and agreed by other members of the Commission, the research
committee held meetings more frequently and gained more standing to identify the
problems of statistical data for the minimum wage fixing criteria, including living costs,
employees’ wage level, labour productivity, and income distribution, provide
alternatives, and study about diverse matters addressed by government as well as by
each representative group in the Minimum Wage Commission. The operating committee
within the Commission also expanded its role in the fixing process and actively
mediated between employer and employee members, aiming at inducing them to reach a
mutual agreement. The operating committee comprises the chairperson of the
Commission and two members from each representative group who are the most
influential in each group. Until early in the Roh government, the committee had
typically held a meeting once right before the start of deliberation to negotiate schedule
and adjust agenda for discussion. From 2006, the operating committee instantly held a
meeting whenever the conflict between employer and employee members increased due
to either side’s refusal of concessions for consultation in the plenary session and tried to
reduce the gap in rates demanded by employer and employee groups and to prevent the
worst scenario of either side’s walkout or resignation before the decision, which had
often occurred.
On the government’s neutral stance in the minimum wage fixing process, the
competition in the process during the five-year period can be summarised as employees’
persistently strong stance for higher rates and the system improvement and employers’
reluctant response in negotiation and compromise with a suspicion of the government’s
‘business-oppressed’ position. Employee representative members consistently made a
strong demand for an over-35 per cent increase in minimum wages, except in the last
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year of the government, claiming that a rate should be at least the 50 per cent level of
employees’ average wage (The sections of Employee Representatives’ Proposal in The
National Minimum Wage for the Year of September 2003 to August 2004, of September
2004 to August 2005, of September 2005 to December 2006, of 2007, and of 2008). By
contrast, employer members made an initial suggestion of an increase in the rate of
between 2.4 per cent and 3.5 per cent, on the grounds of the growth rate of labour
productivity or the optimal rate of wage increase which was calculated by subtracting
the rate of increase in employment from the real GDP growth rate plus the rate of
increase in consumer price (The sections of Employer Representatives’ Proposal in The
National Minimum Wage for the Year of September 2003 to August 2004, of September
2004 to August 2005, of September 2005 to December 2006, of 2007, and of 2008). At
the same time, employer representatives resolutely warned about the risks relating to
structural power, including dismissal, reduction in new hire, emigration of labour-
intensive firms, financial difficulties of small and medium-sized business which
employed over 80 per cent of the labour force, in particular of export firms suffering
from high prices of oil and raw materials, unstable exchange rates, and the fixation of
low growth (The sections of Employer Representatives’ Proposal in The National
Minimum Wage for the Year of September 2003 to August 2004, of September 2004 to
August 2005, of September 2005 to December 2006, of 2007, and of 2008). Such
position of employer members in the fixing process during this period can be
understood as their defensive reaction to the ‘business-unfriendly’ government, in as
much as they firmly claimed to freeze the minimum wage rate in the last year of the
Roh government with no further argument (The section of Employer Representatives’
Proposal in The National Minimum Wage for the Year of 2008).
Employer and employee members opposed each other, especially with regard to the
fixing criteria. Employees stressed that the reference average wage should be the mean
wage which was calculated on the basis of the fixed monthly salary (basic monthly
salary plus fixed monthly allowances) among full-time workers in firms with five
employees and more, rather than the median, because the median much less than the
mean would not improve the big gap in wage and income between regular and non-
regular employees (The sections of Employee Representatives’ Proposal in The
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National Minimum Wage for the Year of September 2003 to August 2004, of September
2004 to August 2005, of September 2005 to December 2006, of 2007, and of 2008).
Employers stuck to the average labour productivity for three years among low-paying
firms with low ability to pay, arguing that the minimum wage already reached the level
of over 50 per cent of all employees’ wages when allowances other than the fixed
monthly salary were included in calculation, which should be taken into account
because of the unique Korean wage system (The sections of Employer Representatives’
Proposal in The National Minimum Wage for the Year of September 2003 to August
2004, of September 2004 to August 2005, of September 2005 to December 2006, of
2007, and of 2008). The different focus between employer and employee groups with
regard to the fixing criteria led to tendentious conflict in the fixing process. In 2003 and
2005, employee members walked out of a Commission’s plenary session, presented
waivers, and boycotted voting for fixing a minimum wage rate (The National Minimum
Wage for the Year of September 2003 to August 2004, pp.7-8, and of September 2005 to
December 2006, p.7). Specifically in 2003, the two umbrella labour organisations, the
Korean Confederation of Trade Unions (KCTU) and the Federation of Korea Trade
Unions (FKTU) raised objections on points of procedure and urged reconsideration of
the rate fixed after the Minister of Labour’s official announcement of the new rate (The
National Minimum Wage for the Year of September 2003 to August 2004, pp.13-14).
However, as the government added the income distribution ratio as a statutory fixing
criterion in the Minimum Wage Act amended in May 2005, this brought about the
revision of indices for the fixing criteria, stressing the improvement of workers’ life.
The Minimum Wage Commission realigned the indices for each fixing criterion on the
ground of research from 2005 and aimed at relieving the wage gap by achieving 50 per
cent of the median wage in phase from 2006 (The National Minimum Wage for the Year
of 2007, p.47). The Commission urged employer and employee members to use the
indices for fixing criteria in their revised rate demands. It seems that the changes in the
Commission had an effect, to a degree, in as much as the final rates of increase
suggested by employer and employee members were very close in 2006 and identical in
2007. Nonetheless, the tension with regard to fixing a minimum wage rate persisted
until the end of the Roh government. In 2006, employer members proposed a rate which
was close to employee members’ one, but they opposed the 0.29 per cent higher rate
233
which the public interest members finally suggested in order to induce a mutual
agreement between employer and employee members (The National Minimum Wage for
the Year of 2007, p.12). In 2007, employers claimed to freeze the minimum wage rate
for the first time during the Roh government as mentioned earlier (The National
Minimum Wage for the Year of 2008, p.192).
The improvement of the minimum wage system was another arena of conflict between
government, employer representative members, and their employee counterparts. In
response to the employee representatives’ suggestion in 2003, the Minimum Wage
Commission set up a committee for system improvement within the Commission in
2004 (The National Minimum Wage for the Year of September 2004 to August 2005,
p.5). However, it was agreed in the following year that the Minimum Wage Commission
would ratify the recommendations that the research committee made based on their
review and study of issues addressed as regard system improvement (The National
Minimum Wage for the Year of September 2005 to December 2006, p.5). Many issues
were addressed in the Minimum Wage Commission. The preservation of wage cuts by
the reduction of statutory working hours7, the curtailed rate for surveillance and
intermittent work, the curtailed rate for older employees, the inclusion scope of taxi
derivers’ salary items in calculating the minimum wage, and the issue of janitorial and
security service contracts in the public sector were the issues which were given
particular attention to and related to older workers. Employee members argued that a
monthly minimum wage rate, as well as an hourly one, should be notified until the
reduction of statutory working hours was applied to all firms and compelled in order to
prevent the benefits of an increase in the minimum wage from being reduced due to the
reduction of working hours (The National Minimum Wage for the Year of 2007, p. 24,
p.98). They also claimed that among taxi drivers’ salary items, the remainder that taxi
drivers had after paying the required amount of their daily earnings to their company
should not be included in calculation in the minimum wage (The National Minimum
Wage for the Year of September 2005 to December 2006, p.30; The National Minimum
Wage for the Year of 2007, pp. 23-24, p.99) and that the janitor and security service
contracts in the public sector should be enhanced for contract employees so that they
may benefit from a new minimum wage (The National Minimum Wage for the Year of
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September 2005 to December 2006, p.31). Except for the issue of the public sector,
which was chosen as recommendations to the government in 2006, employers sharply
opposed the employees’ arguments. They contended that the amended Labour Standard
Act had the appropriate measure to prevent wage cuts caused by the reduction of
statutory weekly working hours and employees’ suggestion of compulsory compliance
with both monthly and hourly rates would bring about huge increases in labour costs
(The National Minimum Wage for the Year of 2007, p.24, p.41). They also argued that a
variety of allowances that taxi drivers were regularly paid should be included in
calculation in the minimum wage because those took a large portion of the pay due to
the unique wage composition of taxi drivers (The National Minimum Wage for the Year
of 2007, p.22). Although employer and employee members agreed to choose the issue
regarding the taxi drivers’ pay for recommendations to the government in 2006, they
only demanded a broad enhancement in calculation mode of the minimum wage among
taxi drivers, without a mutual consent on a specific opinion.
Meanwhile, the Minimum Wage Act amended in May 2005 applied the curtailed
minimum wage rate from January 2007 to surveillance or intermittent work in which
workers had been exempt from the minimum wage due to their exclusion from the
application of the Labour Standard Act under Article 63, Clause 3 of the Act, as
mentioned in Chapter Six. Employers instantly expressed their concern that it would
bring about mass discharge among employees engaged in those jobs, especially older
workers since the majority in those jobs were workers aged 55 and older (The National
Minimum Wage for the Year of September 2005 to December 2006, pp.40-47). It seems
that the government paid most attention to the employers’ concerns, along with the rapid
population ageing, in as much as the executive office of the Minimum Wage Council
asked the Minimum Wage Commission to discuss about the feasibility of a curtailed
minimum wage rate to older workers in 2006 (The National Minimum Wage for the Year
of 2007, pp.22-23). While employers welcomed this, claiming that a 30 per cent
curtailed subminimum would help stable employment among older workers, employees
opposed a subminimum rate to older workers but suggested the provision to support
firms hiring older workers (The National Minimum Wage for the Year of 2008, p.40).
After conducting a study about older workers and obtaining legal advice, the discussion
235
on the issue was developed into seeking a measure to help firms hiring older workers,
despite employers’ persistent support for a curtailed rate to older workers, mainly
because it was advised by the Ministry of Labour that a subminimum for older workers
would violate the Act on Prohibition of Age Discrimination in Employment and Elderly
Employment Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률].
The Lee, Myung-Bak Administration (2008-2013)
As implied in its principle for industrial relations, ‘labour-management relations base on
the law and rules [법과 원칙의 노사관계]’ (The Korean Industrial Relations Research
Association [한국노사관계학회], 2011, p.37), the Lee government foreclosed
‘communication and compromise’ with labour in the policy process, and instead, urged
labour-management cooperation at the business level by the rule of law (Roh, J-K,
2008, p.2). The weakened function of the Economic Social Development Commission
[노사정위원회] during the Lee government demonstrates the point. Although the
Commission was not abolished despite the Lee administration’s downscaling or
abolishing of the established commissions within government, its role was diminished
and distorted from formulating fundamental labour policies through the production of
various agenda to discussing issues limited to the legislation and amendment of laws
and regulations and legitimising the government-led labour policies (Roh, J-K, 2008,
p.10). Trade unions were against the Lee government’s business-centred policy
orientation, but the fact that the government took office with overwhelming support
from the public in both of the presidential election in 2007 and the general election in
2008, while the Labour Party having supported the trade unions suffered heavy losses in
the general election and intraparty factionalism, weakened the trade unions’ labour
disputes (Roh, J-K, 2008, p.4). On the other hand, employers played a leading role in
the reform of labour regulations. Immediately after the Lee government took office in
2008, five business organisations, including the Federation of the Korean Industries
(FKI) [전국경제인연합회] and the Korea Chamber of Commerce and Industry (KCCI)
[대한상공회의소], submitted a report which recommended reforms in 267 business-
related regulations to the Ministry of Knowledge Economy [지식경제부] (Roh, J-K,
2008, p.2). Their proposal was later developed into ‘the Policy Plan for Advanced
236
Labour Market’ by the Ministry of Knowledge Economy and initiated by the Ministry
of Labour (Roh, J-K, 2008, p.2). This dynamic between government, employers, and
employees was reflected in the minimum wage fixing process. Although each
committee inside and outside the Minimum Wage Commission functioned and the
procedures of fixing a minimum wage rate and revising the system were executed as
realigned during the previous five years, the Lee government increased its leverage to a
limited extent in the minimum wage fixing process. Employers persistently pushed their
strong claims under the pro-business administration, whereas employees maintained
consultation and compromise in a relative sense for the first two years but displayed
militant approaches from the third year of the Lee government, such as interruption to
voting on fixing a rate and nonparticipation in the Commission for the last two years.
The Lee government heralded its intentions in minimum wage policy by replacing
academics in the social field with experts in economics and business and researchers in
government-funded organisations among the public interest members. As all of the
public interest members finished their three-year service in April 2009, the Lee
government appointed six academics in business administrations, economics, and
consumer science, one expert in a government-funded organisation, one permanent
member of the Minimum Wage Council, and one professor in social welfare to the
public interest representatives in the Minimum Wage Commission (The National
Minimum Wage for the Year of 2010, p.81). In 2012, at the appointed time to replace the
representative members in the Commission, the Lee government filled the public
interest group with five academics in business administration, economics, and consumer
science, three researchers in the government-fund institutes, and one permanent member
of the Minimum Wage Council (The National Minimum Wage for the Year of 2013,
p.63). The transformed composition of the public interest members, who were appointed
by the President based on the Minister of Labour’s recommendation, implies that the
government focused on ‘contributing to the sound development of the national
economy’ more than ‘to stabilise workers’ life and to improve the quality of the labour
force’ as the purpose of the minimum wage.8
237
Such point is more clearly displayed in the range of growth rates of the minimum wage
which the public interest representatives initially suggested during the five years for
mediating between employer and employee members and the reference criteria which
they used for the range. They suggested 4.1 per cent to 8.9 per cent in 2008, 0.4 per cent
to 4.6 per cent in 2009, 4 per cent to 6.1 per cent in 2010, 2.9 per cent to10.9 per cent in
2011, and 2.6 per cent to 10.5 per cent in 2012 (The National Minimum Wage for the
Year of 2009, p.81, of 2010, p.22, of 2011, p.20, of 2012, p.24, of 2013, p.17). These
ranges are distinctively lower than the ones suggested in the period of the Roh
government, which were 7.5 per cent to13.5 per cent in 2005, 10.6 per cent to 13.1 per
cent in 2006, and 5.3 per cent to 11.2 per cent in 2007 (The National Minimum Wage for
the Year of September 2005 to December 2006, p.5, of 2007, p.30, and of 2008, p.49).
The lowered range of growth rates of the minimum wage resulted from different
reference indices for fixing criteria applied. The public interest members during the Lee
government produced the range based mainly on economic growth rates, the rate of
increase in consumer prices, and the rate of increase in bargained wage in fixed monthly
salary or in total monthly pay (The National Minimum Wage for the Year of 2009, p.81,
of 2010, p.22, of 2011, p.20, of 2013, p.19). This is in contrast to the fact that the
optimal rate of wage increase ((the real GDP + the rate of increase in consumer price) –
the rate of increase in employment), the surplus in the living costs among employees
compared to the rate of increase in consumer prices, and the award for relieving three-
or five-year wage gap were considered for the range of growth rates of the minimum
wage by the public interest members during the Roh government (The National
Minimum Wage for the Year of 2007, p.30, of 2008, p.49). Although the public interest
members in the Lee government took account of the award for improving the wage gap
in 2008, no reference index for the 0.6 percentage point applied was clarified (The
National Minimum Wage for the Year of 2009, p.81), which was much lower compared
to the 3.7 percentage points or 6.7 percentage points applied in the previous years (The
National Minimum Wage for the Year of 2007, p.30, of 2008, p.49). From 2009, the
public interest members did not consider an index regarding wage gap for the range of
growth rates of the minimum wage, and in 2011, they did not clarify any reference
index for their suggested range.
238
Employer representative members took a hard-line stance in the minimum wage fixing
process all through the Lee administration. They demanded cutbacks in the minimum
wage rate by 5.8 percentage point in 2009 (The National Minimum Wage for the Year of
2010, p.215) as well as freezing the rates in other four years during the five-year period
(The National Minimum Wage for the Year of 2009, p.222, of 2011, p.105, of 2012, p.95,
of 2013, p.79). As the basis of their demands, it was argued that the minimum wage
increase exceeded labour productivity, which aggravated labour costs in small
businesses, and its level already reached over 50 per cent of the median fixed monthly
salary among full-time employees in firms with one and more workers, being much
higher than the minimum cost of living defined by the National Basic Living Security
Act [국민기초생활보장법] (The sections of Employer Representatives’ Proposal in The
National Minimum Wage for the Year of 2009-2013). Sticking to their claims, employer
members increased the growth rate of the minimum wage mostly by less than 1 per cent
in the revision from their initial rate demands until the public interest members
suggested a range of growth rates (The National Minimum Wage for the Year of 2009,
p.81, of 2010, pp.95-96, of 2011, pp.131-132, of 2012, p.124, of 2013, p.106).
Moreover, some of the employer members in 2008 and all of the members in 2010 and
in 2012 abstained from voting and walked out of the plenary session in opposition to the
final rates suggested for vote by the public interest members (The National Minimum
Wage for the Year of 2009, p.22, of 2011, p.128, of 2013, p.104).
Compared to employer members, employee representatives took a relatively moderate
position in the minimum wage fixing process for the first two years of the Lee
government. Employee members demanded a 26.3 per cent increase in the minimum
wage in 2008 and a 28.7 per cent increase in 2009, which were about 10 per cent less
than the rates of increase demanded by employee members during the Roh government
but based on the same criteria as before, 50 per cent of the mean of fixed monthly
salaries among full-time employees in firms with five and more workers (The National
Minimum Wage for the Year of 2009, p.193, of 2010, p.205). Although they resisted the
employer representatives’ small revision of rate demands by walking out of a plenary
session for discussion in 2008 (The National Minimum Wage for the Year of 2009,
pp.20-21), employee members largely reduced their demands for a high rate of increase
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and agreed with members in other two representative groups to the rate finally
suggested by the public interest members in 2008 and 2009 (The National Minimum
Wage for the Year of 2009, p.81, of 2010, p.65). But, employee members radically
changed their stance from 2010, having a grievance against employer members’
repeated demand to freeze the minimum wage rate and refusal to revise it, the low rates
of increase suggested by public interest members, and the appointment procedure and
composition of public interest representatives. In 2010, employee members staged a
rally by taking over a conference room in the Minimum Wage Council after employer
members announced the initial demand to freeze the minimum wage rate. Although they
participated in vote at the final plenary session of the Minimum Wage Commission,
employee members continued the strike as employer members refused to revise their
demand (The National Minimum Wage for the Year of 2011, pp.12-21). In 2011, three
employee members from the Federation of Korea Trade Unions presented waivers and
walked out, opposing the range of growth rates suggested by public interest members,
and four members from the Korean Confederation of Trade Unions restrained
representative members in other groups from voting in the final plenary session as well
as refused themselves to vote (The National Minimum Wage for the Year of 2012, pp.25-
31). During the demonstration, employee members demanded the resignation of the
chairperson in the Minimum Wage Commission and a debate on the organisational
structure and operation of the Commission. In 2012 when all of the public interest
members were replaced due to the termination of their office, employee members
addressed the method of appointing public interest members but faced a negative
response from a director general from the Minister of Labour (The National Minimum
Wage for the Year of 2013, p.6). This led to employee members’ nonparticipation in the
Commission until the end of the deliberation period in the year, except the first plenary
meeting (The National Minimum Wage for the Year of 2013, p.104).
As the competition between employer and employee members was intense in fixing a
rate of increase in the minimum wage itself, and the Minimum Wage Commission was
limping along on employer and employee members’ walkouts and boycotts of
discussion and votes during the Lee government, fixing criteria and the agenda for
improving the minimum wage system were rarely discussed within the Commission in
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practice during this period. For the first two years of the Lee government, employer and
employee members’ demands on the modification of reference statistical data, on which
a variety of indices for the four statutory fixing criteria and the influence rate of a
minimum wage were produced, the issues of salary items included in calculation of the
minimum wage, particularly among taxi drivers, the application of reduced minimum
wage rate to older workers, and the expansion of regulations on the prime contractor’s
responsibility for employees from subcontractors to be paid at least a minimum wage
rate were discussed through a forum and a workshop held after the deliberation period
as well as in the Commission’s plenary session (The National Minimum Wage for the
Year of 2009, pp.15-16, pp.235-245, of 2010, p.12, pp.232-246). With the help of the
research committee’s review and research before and after the deliberation (The
National Minimum Wage for the Year of 2009, pp.45-75, of 2010, pp.49-60), the
representative groups were not sharply against each other with regard to the issues
addressed. They agreed to make recommendations to government, such as tightening
inspection and oversight of noncompliance, improving janitorial service contract in
public sector, supporting small businesses with tax relief, and realigning employment
and wage-related statistical data in these two years (The National Minimum Wage for
the Year of 2009, p.96, of 2010, pp.99-121). But, in 2010, only employer and employee
representatives’ claims relating to reference statistical data for the fixing criteria and the
influence rate of the minimum wage, which was included in their report submitted to the
Minimum Wage Council at the beginning of the deliberation period, were in priority
discussed in the research committee that had no authority to make decisions (The
National Minimum Wage for the Year of 2011, pp.42-69). Although the recommendation
to government was made in 2011, it was not through discussion and consultation
between the tripartite representative groups in the Commission. Instead, there was an
agreement that the research committee reviewed the employer and employee groups’
demands presented in their reports and then the operating committee chose the final
issue for recommendation to government, under the pressure of the time limit in
deliberation period caused by fierce confrontation between employer and employee
members on the rate of increase in the minimum wage (The National Minimum Wage
for the Year of 2012, p.31). Further, as employee members did not attend the
Commission in 2012, except for the first plenary session, no issue, other than the
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method of appointing public interest members that employee members addressed in the
first plenary session, was dealt with for the deliberation period of the year.
Implicit Characteristics of Minimum Wages
The dynamics of power between government, employees, and employers presented in
the minimum wage fixing process shows the course that each administration followed to
reach its own aims with regard to the minimum wage. As the Roh government pursued
‘the minimum wage at a realistic level’ whereas the Lee government sought ‘the
reasonable minimum wage,’ as mentioned in the earlier section of government policy
orientation, the minimum wage increased at high rates during the Roh government but
at low rates for the Lee government period. However, more important is that the course
of the dynamics between government, employers, and employees presented in the
minimum wage fixing process implies distinctive characteristics of the minimum wage
in each government period, which led to different sets of economic effects of the
minimum wage.
The Roh, Moo-Hyun Administration (2003-2008)
The minimum wage increased at higher rates during the Roh government is
characterised as the preservation of low paid workers’ monthly pay which was curtailed
by the reduction of the statutory working hours. As stated earlier, the statutory working
hours were shortened in phase from 44 hours per week to 40 hours per week since July
2004 by the revision of the Labour Standards Act in August 2003. The preservation of
low paid workers’ monthly pay on top of an increase in the minimum wage was one of
the most controversial issues in the Minimum Wage Commission during the period of
the Roh government. Employee representative members argued that a minimum wage
should be released in monthly rates for both 44 and 40 weekly working hours (226 and
209 monthly working hours, respectively) as well as in an hourly rate so that the
monthly salary among low paid employees in firms to which reduced weekly working
hours were applied should be preserved based on a new rate of increase in the minimum
wage (The National Minimum Wage for the Year of September 2004 to August 2005,
p.29, of 2007, p.98, of 2008, p.145). They provided an example that a minimum wage
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worker in firms with 44 working hours per week was paid a 9.2 per cent higher monthly
salary in 2006, compared to in 2005, whereas a counterpart in firms with 40 working
hours per week received only 0.9 per cent higher monthly pay, based on the hourly
minimum wage rate of 2006 (The National Minimum Wage for the Year of 2007, p.98).
But, this demand was not agreed in the Minimum Wage Commission because it faced
determined opposition from employer representative members who claimed that the
amended Labour Standard Act contained sufficient provisions for the preservation of
possible cut in workers’ pay caused by the reduced statutory weekly working hours, as
shown in the earlier section on the dynamics of power. As a result, low paid employees
in firms which implemented a 40-hour week were likely to benefit significantly less
from an increase in the minimum wage, despite its high growth rates during the period.
Instead, the monthly salary paid to minimum wage employees in firms implementing a
40-hour week was likely to be preserved at the previous level of monthly pay for 44
hours through a high rate of increase in the minimum wage. The interview research on
janitorial service contract firms, which was conducted by the Minimum Wage Council
in May 2006 to investigate the influence of the reduction in statutory working hours and
the minimum wage, shows the point. Fifty per cent of establishments responded that
they increased rest time and decreased fixed working hours, although the real working
hours was the same as before, so that their payroll costs were not changed (The National
Minimum Wage for the Year of 2007, p.127). This practice to preserve monthly pay at
the previous level through a high increase in the minimum wage seems to have been
prevalently employed in a variety of low-paying service sectors, in as much as adjusting
working hours through increasing the intensity of labour is relatively flexible in those
sectors. Compared to service industries, the sectors in which task attributes did not
allow employers either to increase rest time or to decrease the real working hours, such
as manufacturing, tended to increase overtime after the reduction in the statutory
working hours. According to the Minimum Wage Council’s annual visiting research in
2007, three manufacturing firms among six multiple industry respondents answered that
they increased overtime along with the introduction of 40 weekly working hours
because the legal working hours were shortened (The National Minimum Wage for the
Year of 2008, p.110, p.117, p.123). Similarly, a survey of firms’ responses to the
introduction of the reduction in the statutory working hours, which was conducted by
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the Korea Employers’ Federation in 2006, showed that the real working hours rarely
changed in 56.7 per cent of respondent manufacturing firms while it decreased a little in
41.9 per cent of them (The Korea Employers' Federation [한국경영자총협회], 2006,
p.157). Also, 38.0 per cent of respondent non-manufacturing firms did not changed in
the real working hours, whereas 58.0 per cent reduced the hours (The Korea Employers'
Federation [한국경영자총협회], 2006, p.157). The Korea Employers’ Federation made
an interpretation of the results that firms in manufacturing sector were more likely to
increase overtime along with the reduction in the statutory working hours, due to their
relatively heavy workload compared to the firms in non-manufacturing sectors (The
Korea Employers' Federation [한국경영자총협회], 2006, p.157). Obviously, low paid
workers in firms which increased overtime were likely to benefit more significantly
from the higher increase in the minimum wage, despite the function of a minimum wage
preserving the previous monthly salary, because of the increased overtime rate resulted
from a high growth rate of the minimum wage as well as due to the maintenance of
working hours through overtime.
This peculiarity of the minimum wage during the Roh government explains
considerably the effects of the minimum wage on the distributions of wages and family
earnings and on employment among older employees for the first five-year periods
presented in Chapter Seven. Recollecting the fact in Chapter Six that a large portion of
older workers aged between 55 and 79 were hired in the low-paying service sectors, the
role of a minimum wage to preserve monthly pay at its level in 44 weekly working
hours partly explains the insignificant disemployment effect of the minimum wage for
older workers during this period. Since the role restrained wage increases among a large
proportion of low paid older workers, especially engaged in service sectors, the labour
costs of employers hiring them were not so significantly affected as to reduce
employment. Nonetheless, the facts that some employers who implemented a 40-hour
week were likely to raise wages in need of the maintenance of working hours through
overtime and that the curtailed statutory working hours were not yet applied to firms
with less than 20 employees for this period support the small but significant effects of
the minimum wage on the wage distribution among older employees. In parentheses,
the practice of employers’ wage differential between employees with different skills or
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years of service explains the spillovers in the wage distribution among older employees.
According to the annual visiting research conducted by the Minimum Wage Council,
three out of six respondent employers answered that they increased wage rates for
employees paid over a minimum wage at the growth rate of a minimum wage or more
in 2006, and five out of six employers responded that they raised wage rates for workers
paid over a minimum wage for wage differential between employees with different
skills or years of service in 2007 (The National Minimum Wage for the Year of 2007,
p.69, p.74, p.78, of 2008, p.100, p.110, p.116, p.123, p.129). However, the role of the
minimum wage to preserve monthly pay for this period seems to bring about
insignificant effects on the distribution of family earnings of older employees and on
their exits from in-work poverty. Considering the fact that firms with less than 20
employees comprised 96.8 per cent of all establishments and hired 54.2 per cent of all
employees in 2006 (The Korean Statistical Information Service (KOSIS) [국가통계포
털], 2006), roughly 50 per cent of employees’ monthly pay remained at a previous level
due to the curtailed statutory working hours for this period, and this suggest that their
family earnings rarely increased without a new hire among their family members.
Accordingly, the increases in hourly wages for the other half by the high increases in the
minimum wage may not sufficiently enhance the rate of increase in annual family
earnings among the whole employees. This also provides a clue to the insignificant
minimum wage effect on exits from in-work poverty, in as much as the main income
source of households in in-work poverty would be family members’ earnings.
The exemption from the minimum wage of and the subminimum wage for surveillance
or intermittent work introduced in 2007 is another critical factor explaining the results
of the minimum wage effects for older employees, in particular, of a large proportion of
those paid below the minimum wage. The majority of those engaged in surveillance or
intermittent work are older workers aged 55 and over who are typically working as
building managers or caretakers. According to the analysis of those engaged in
surveillance or intermittent work, which was conducted by the Korean Contingent
Workers’ Centre [한국비정규노동센터] (2004, p.61), using the Wage Structure Survey
[임금구조기본통계조사] for the year of 2002, 69.1 per cent of those engaged in
surveillance or intermittent work was building managers or caretakers, and 70.9 per cent
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of building managers or caretakers was those aged 55 and older. The study also found
that 97.5 per cent of building managers and caretakers was paid less than a minimum
wage, on average, at the rate of 75.0 per cent of the minimum wage, less than 2.5 per
cent of employees engaged in other types of surveillance or intermittent work was paid,
on average, between 80 per cent and 92 per cent of the minimum wage, and older
workers aged 55 and over were roughly from two times to four times more likely to be
paid below the minimum wage than younger workers in surveillance or intermittent
work (The Korean Contingent Workers' Center [한국비정규노동센터], 2004, pp.69-70).
The fact that older workers were more often paid less than the minimum wage than
younger workers in surveillance or intermittent work implies that paying less to older
workers was likely to be widespread in other low-paying service or elementary work in
which older workers were largely engaged. In this regard, the exemption of those
engaged in surveillance or intermittent work from the minimum wage until 2006 can be
thought to have functioned virtually as the exemption of older employees from the
minimum wage. The fact that the executive office of the Minimum Wage Council
addressed the feasibility of a subminimum for older workers in response to employer
representatives’ concern as regards the implementation of the subminimum for
surveillance or intermittent work shows the point. Further, the subminimum for
surveillance or intermittent work did not have the capacity to push the part below the
minimum wage towards the right in the distribution of wages among older employees
when it was introduced. It was fixed as 70 per cent of the normal minimum wage rate in
2007, which was lower than 75 per cent, the average wage of those engaged in
surveillance or intermittent work before its implementation. Only in 2008 did the
subminimum have the potential to raise the wages of those who had been practically
exempted from the minimum wage above the wage level practiced in the exemption. It
increased to 80 per cent of the normal minimum wage rate, and, this, as a result, brought
about a 6.2 per cent higher rise in the subminimum than the rate of increase in the
normal minimum wage rate, even if the curtailed statutory weekly working hours were
applied. These points imply that the ambiguous change in the lowest wage bracket
resulted from employers’ wage practices for their low paid older employees based on
the exemption from the minimum wage but responding to the high rate of increase in
the minimum wage in consideration of employees’ pay cut by the curtailed statutory
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working hours. The insignificant effect on exits from in-work poverty can be also
understood as an outcome that the practical exemption of older workers from the
minimum wage during this period prevented those paid less than the minimum wage
from obtaining it and deprived older employees’ households in poverty of the chance to
break out of it.
Along with the exemption of those engaged in surveillance or intermittent work from
the minimum wage and the subminimum for them, noncompliance with the minimum
wage is the major reason that older workers were paid below the minimum wage. The
minimum wage has become known to the public since the mid-2000s as the number of
non-regular workers sharply increased with the dramatic change in economic conditions
and labour market. Even some employers as well as employees and the public did not
know about the minimum wage during the Roh government period. In the Minimum
Wage Commission’s visiting survey in 2007, two out of six employers responded that
they only knew the minimum wage rate or were not interested in the minimum wage,
and two of six employees answered that they did not know about it at all or knew only
the then rate (The National Minimum Wage for the Year of 2008, p.100, p.105, p.130).
The violation of the minimum wage was not an object of crackdown and penalty but an
object of inspection and advice, according to the descriptions in a brief report on actions
taken by a branch office of the Ministry of Labour which was provided in the Minimum
Wage Commission in 2007 (The National Minimum Wage for the Year of 2008, pp.137-
139). Further, the inspection and advice were typically concentrated on small businesses
hiring youths and foreign workers, given the fact that the report provided by a branch
office of the Ministry of Labour specified those as vulnerable workers (The National
Minimum Wage for the Year of 2008, p.137). This implies that older workers were not
widely recognised as a group to be protected by the minimum wage during this period.
The results of an opinion survey on the subminimum for older workers conducted in the
Minimum Wage Commission’s annual visiting research in 2007 support this contention.
The majority of the respondent employers answered that a subminimum for older
workers would be reasonable in terms of their relatively low productivity and helpful
for their employment (The National Minimum Wage for the Year of 2008, pp.95-96).
This perception of older workers seems to be internalised in older workers, themselves.
247
Although limited, a premise of discussion in the Conference for the 20th Anniversary of
the National Minimum Wage in 2006 and the responses of employees interviewed in the
Minimum Wage Commission’s field investigations reflect this point. The report of the
conference which was attached to the Minimum Wage Council’s annual report for the
year of 2007 stated:
While a large number of older workers want to work paid even below the
minimum wage, employers are unwilling to hire them; in this regard,
measures to apply the minimum wage flexibly are needed to be sought for the
improvement of employment opportunity among older workers. (The National
Minimum Wage for the Year of 2007, p.137)
In the same vein, an employee aged over 55 who worked at a men’s clothing
manufacturing firm said:
Because the level of the minimum wage is very high, many of friends around
my age are hard to be hired. (The National Minimum Wage for the Year of
2008, p.115)
An older caretaker also responded:
I heard from acquaintances working in other security firms that many older
employees have been dismissed since the minimum wage was newly applied
to surveillance or intermittent work. I am very unhappy with the application
of the minimum wage to this work because it threatens my employment. (The
National Minimum Wage for the Year of 2008, p.129).
The Lee, Myung-Bak Administration (2008-2013)
The minimum wage fixed during the period of the Lee government which increased at
the lowest rate among all of the governments is characterised as the maintenance of
wage level for strengthening business competitive power, leading to the development of
the national economy. As shown in the earlier section on the dynamic between the
tripartite members in the Minimum Wage Commission during this period, all of the
rates were fixed through voting on a rate suggested by the public interest representative
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members which was based on indices forecasting the national economy rather than ones
relating to the improvement of workers’ life and income gap. Accordingly, the level of
increase in the minimum wage was not significantly higher than the annual pay award
during this period. Except for 2009 in which the rate of increase in the minimum wage
was 4.4 per cent higher than the average rate of increase in bargaining wage, the growth
rate of the minimum wage was 2.0 per cent lowered than the average rate of increase in
bargaining wage in 2010, identical with it in 2011, and 1.3 per cent and 2.6 per cent
higher in 2012 and 2013, respectively (The Korean Statistical Information Service
(KOSIS) [국가통계포털], 2004-2013; Appendix 3). The sharp contrast in the difference
between the minimum wage rate and the annual pay award in 2009 and 2010 resulted
from the deferred reflection of the 2008 global financial crisis on the minimum wage.
These marginal increases in the minimum wage compared to the annual pay award
suggest that the increases in the minimum wage for this period would have minor
effects on the distribution of wages, in that employers were likely to rarely face pressure
to raise their lowest wages above the rate of increase in wage bargaining and to
differentiate wages between their employees. The ambiguous but significant change in
the lowest wage bracket, the insignificant change in the lower-middle wage bracket, and
the marginal increase in the middle wage bracket among older employees reflect this
point. Considering the fact shown in Chapter Six that older employees’ wages were
much lower than their younger counterparts’, the middle wage bracket in the wage
distribution among older employees was likely to be comprised of those paid around the
minimum wage. In response to a small increase in the minimum wage, employers were
likely to focus on raising the wages close to a minimum wage rate with little
consideration of wage differentials with the above and the below and to selectively
increase their lowest wages which were far lower than a minimum wage rate. This
understanding further provides insight to the likely small improvement in family
earnings of households whose members were paid around the minimum wage but with a
plausible reduction in the chance to exit from in-work poverty. Given that income from
labour is the main source of household income among low-income working families,
employers’ wage practice centring on wages close to the minimum wage in response to
its marginal increase would not lead to an enhancement of the family earnings of
households whose employed members earned much below the minimum wage and thus
249
reduced their chances to exit from in-work poverty as the poverty thresholds were
updated by reference to the average family earnings. Further, since the minor increase in
the minimum wage compared to the annual pay award for this period also suggests
insignificant increases in labour costs, employers were likely only rarely to dismiss their
employees on account of an increase in the minimum wage.
The reduction in the statutory weekly working hours in 2011 is another factor to make
the minimum wage effects being restrained for this period. The enforcement of the
curtailed statutory weekly working hours from 44 hours to 40 hours was concluded
among establishments with 20 employees or more until July 2008. However, the
reduction in working hours for firms with less than 20 employees was implemented in
July 2011 under the additional rules of the 2003 Labour Standard Act that the
enforcement date for the establishment with less than 20 employees will be assigned by
a Presidential decree, but the date should be no later than 2011. Firms with less than 20
employees comprised 96.4 per cent of all establishments and hired 51.1 per cent of all
employees in 2011 (The Korean Statistical Information Service (KOSIS) [국가통계포
털], 2011). Although the minimum wage rate in 2012 increased by 6.0 per cent, this rate
of increase made the monthly pay of minimum wage workers working 40 hours a week
in 2012 1.96 per cent lower than the pay of their counterparts working 44 hours a week
in 2011. That is, minimum wage workers whose weekly working hours were reduced in
2011 were likely in 2012 to be paid less than or, at best, the same with the monthly pay
of 2011 under the regulation for preserving employees’ monthly salary in the 2003
Labour Standard Act. In this regard, it can be said that wage rises by the increase in the
minimum wage were restrained in 2012 by its role to preserve the monthly pay curtailed
by the reduction of the statutory working hours, which led to the zero disemployment
effect.
However, the subminimum for surveillance or intermittent work increased from 80 per
cent to 90 per cent of the normal minimum wage rate in 2012. This was likely to work
as a positive factor for low paid older employees. Despite the tentative conclusion under
the previous government that a sub-rate for older workers would contradict the Act on
Prohibition of Age Discrimination in Employment and Elderly Employment Promotion,
the feasibility of a subminimum for older workers was more positively considered in the
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Minimum Wage Commission, as the subminimum for surveillance or intermittent work
increased from 70 per cent to 80 per cent of the normal minimum wage from 2008. The
fact that the questionnaire for the Minimum Wage Commission’s annual visiting survey
in 2008 and 2009 included more concrete questions regarding the issue of a
subminimum for older workers shows that point (The sections of the Minimum Wage
Commission’s annual visiting survey in The National Minimum Wage for the Year of
2009 and of 2010). Although the consideration of a sub-rate for older workers did not
lead to the initiation of legal proceedings, it is implied that the subminimum for
surveillance or intermittent work was likely to play a role of a wage floor for older
workers. The subminimum for surveillance or intermittent work, which was maintained
as 80 per cent of the normal minimum wage rate for the first three years of the Lee
government, increased from 80 per cent to 90 per cent of the normal minimum wage
rate from 2012. This made a 10.3 per cent increase in monthly pay of employees
engaged in those work despite the 40-hour week. The one-year high increase in the
subminimum for surveillance or intermittent work might not be critical for the five-year
minimum wage effects, in that the minimum wage effects were offset over the past two
years by the annual pay award. However, given that the subminimum would work as a
wage floor for older employees, the increase in the subminimum of the year was likely
to contribute to meaningful wage increases among low paid older employees earning
around the subminimum for this year. Moreover, while the normal minimum wage rate
marginally increased only in two years during the Lee government period in practice,
due to its increases being lower than or equivalent to the annual pay award and the
widely enforced reduction in working hours, the subminimum rate had three-year
increases during the period, owing to its high increase in 2012. In this regard, the
increase in the subminimum for this period was likely among older employees to have a
margin to raise some lower wages close to the subminimum, based on the employers’
wage practice in response to a small increase in the minimum wage. This explains the
slight increase in the median wage of older employees and the ambiguous change in
their lowest wage bracket at the same time, providing a clue to the rise in family
earnings among older employees’ households which benefited from the low rates of
increase in the minimum wage in 2009 and in 2013 and the high increase in the
subminimum in 2012. However, the median family earnings of older employees, which
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were only increased significantly and thus thought to benefit from the increase in the
subminimum for surveillance or intermittent work, are much below the median family
earnings of all employees. Given that the main source of family income among older
employees’ households in poverty is earnings, this implies that the wage increases only
around the subminimum were likely to make the existing working poor households
remain in poverty and also induce some new entries to in-work poverty.
The large proportion of those below the minimum wage in the wage distribution among
older employees for the given five years are explained by the influence of a
subminimum rate for surveillance or intermittent work over low paid older employees,
in part, and largely by the prevalent noncompliance among firms hiring older workers.
As the Minimum Wage Commission’s series of actions along with the enforcement of
the subminimum for surveillance or intermittent work implies, the sub-rate tended to be
regarded as an implicit wage floor for low paid older workers. This was likely to
reinforce employers’ practice to pay less than the minimum wage to their unskilled
older employees, combining employees’ spontaneous commitment to work even for
small pay. Employees’ voluntary commitment to work for less than the minimum wage
seems to be connected to their internalisation of age-related social perceptions as in the
previous government period. Interviews with employers and employees conducted by
the Minimum Wage Commission members in field investigations partly show it. An
employer who ran a sewing factory stated:
When I took over the factory and interviewed for deciding the renewal of
employment contract the existing female employees aged 60s and 70s who
were paid only 500 thousand won a month, most of them asked to let them
continue to work even if their pay would be cut. (The National Minimum
Wage for the Year of 2009, p.126)
An employee aged over 50 who worked at a health functional food company said:
I want to continue to work even for small pay because I am over 50. (The
National Minimum Wage for the Year of 2010, p.136)
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Also, an older employee working for a cleaning and guard company answered:
I feel that jobs have recently been decreasing. As pay increased, older workers
have been replaced by younger workers. As an older employee, the level of
pay is not my priority, and thus I am not happy with the increase in the
minimum wage. For me, remaining at work is much more urgent and
important than the increase in the minimum wage. (The National Minimum
Wage for the Year of 2013, p.241)
Meanwhile, during the Lee government, the regional branch offices of the Ministry of
(Employment and) Labour enhanced public relations of the minimum wage through
various types of campaign and strengthened inspection and advice by increasing the
number of establishments and enlarging industrial fields for inspection (The National
Minimum Wage for the Year of 2009, pp.183-188, of 2010, pp.197-201). From 2010, the
Ministry of (Employment and) Labour introduced the Champion of the Minimum Wage
[최저임금 지킴이] who were appointed among retirees from professional jobs to
monitor and prosecute offenders of the minimum wage (The National Minimum Wage
for the Year of 2013, p.289). However, as a standing member of the Minimum Wage
Council mentioned that the Champion of the Minimum wage was expected to have been
helpful in some degree to the reduction in the proportion of those paid below the
minimum wage, but how it has exactly been was not known (The National Minimum
Wage for the Year of 2013, p.36), there was no evidence of the practical crackdown and
penalty which led to the improvement in noncompliance. Considering that low paid
older workers were a particularly vulnerable group in gaining information, reports of the
noncompliance with the minimum wage by older workers themselves were likely to be
rare.
Conclusion
How the empirical results found in Chapter Seven can be understood was the main point
of this chapter. Although the neoclassical economic approaches explained a large part of
253
the results, they left the questions of why the increase in the minimum wage had no
disemployment effect among older employees, regardless of its level of increase, why
noncompliance with the minimum wage significantly exited among older employees,
despite the legal sanctions, in both five-year periods, and ultimately how the minimum
wage operates in practice and for what. The discussion within a political economy
framework proposed in Chapter Five provided more concrete contexts and better
understanding of the empirical findings. Under different government policy
orientations, the dynamics of power between government, employers and employee in
the minimum wage fixing process during each five-year period made distinctive
characteristics of the minimum wage in each period.
The high increases in the minimum wage during the Roh government were
characterised as the preservation of low paid workers’ monthly pay curtailed by the
reduction of the statutory working hours, the exemption from the minimum wage of and
the subminimum for surveillance or intermittent work playing a role as a wage floor for
older workers, and the noncompliance with the minimum wage by the government’s
loose management of it. The role of the minimum wage to preserve monthly pay
curtailed by the reduction of the statutory working hours restrained wage increases
among a considerable proportion of employees for this period and brought about small
but significant effects on the wage distribution without any disemployment effect,
relying on some employers’ practice of maintaining working hours through overtime in
response to the reduction of the statutory working hours and firms to which the reduced
working hours were not applied. However, since the role made roughly half of
employees’ monthly pay remain at the previous level, it prevented the increases in
hourly wages for the other half caused by the increases in the minimum wage from
sufficiently enhancing the rate of increase in annual family earnings among all
employees. This provides a clue to the insignificant minimum wage effect on exits from
in-work poverty, in that the main income source of households in in-work poverty
would be family members’ earnings. The exemption from the minimum wage of and the
subminimum for surveillance or intermittent work was also important, particularly for
the minimum wage effects on older employees. The discussions and debates through the
minimum wage fixing process showed that they played a role as a wage floor for older
254
employees in practice. As the subminimum was fixed in its first year below the average
market wage for the work before it was introduced, it increased higher than the
exempted level only in the last year of the period. This explained that the practical
exemption of older workers from the minimum wage during this period stopped those
paid less than the minimum wage from obtaining it and deprived older employees’
households in poverty of the chance to break out of it. It also suggested that the
ambiguous change in the lowest wage bracket resulted from employers’ wage practices
for their low paid older employees based on the exemption from the minimum wage but
responding to the high rate of increases in the minimum wage in consideration of
employees’ pay being cut by the reduced statutory working hours.
Meanwhile, the low increases in the minimum wage during the Lee government was
characterised as the increases slightly higher than the annual pay award, the
preservation of low paid workers’ monthly pay curtailed by the reduction of the
statutory working hours in 2012, the considerable increase in subminimum for
surveillance or intermittent work in 2012, and the noncompliance with the minimum
wage due to the government’s loose management of it. The low increases in the
minimum wage slightly higher than the annual pay award were responsible for the
marginal changes in the wage distribution, centring on the increase in its median, and
insignificant disemployment effect. As the minimum wage increased at a low rate,
employers were likely to mainly raise wages close to a minimum wage rate and
selectively increase their bottom wages far lower than a rate, having less pressure on
wage differentials. This implied insignificant rises in labour costs and further provided a
clue to the marginal improvement only in the median of family earnings of older
employees and the reduction in the chance to exit from in-work poverty. The median
family earnings of older employees would be much below the equivalent of all
employees, and thus older employees earning their median family earnings were likely
to be those paid close to a minimum wage rate. Nonetheless, as the marginal increases
in the minimum wage rarely raise wages far lower than a minimum wage rate and thus
were likely to make little improvement in family earnings of older employees’
households below the median, the chance to exit from in-work poverty could be reduced
among older employees. The role of the minimum wage to preserve monthly pay
255
curtailed by the reduction of the statutory working hours in 2012 was thought to be a
factor weakening the impact of the minimum wage, in that the reduction was applied to
roughly a half of the entire employees. But, the remarkable increase in 2012 in the
subminimum for surveillance or intermittent work, which worked as a wage floor for
older employees, played a decisive role in the marginal but significant effects on the
wage distribution among older employees by making the three-year increases in the
subminimum for this five-year period, compared to the two-year minor increases in the
normal minimum wage owing to the reduced working hours.
For the two showcased five-year periods, noncompliance with the minimum wage was
prevalent, relying largely on the loose supervision of both governments which had an
exclusive power with regard to the minimum wage in its implementation stage.
Nonetheless, such noncompliance seems to have been based on the combination of
employers’ perceptions of older employees’ labour productivity and older workers’
internalisation of social perceptions of themselves as partly reflected in the interview
responses in the Minimum Wage Commission’s field investigations. With regard to
older worker’s internationalisation of social perceptions, Jung, S-D, Song, A-Y and
Jeon, H-S (2015) argue that Korean older people internalise ageism based on their
findings showing stronger ageism at higher ages.
256
Notes
1 For the first five-year period, the annual growth rate of wages for all employees ranges from 4.4 per cent to 6.6 per cent, and the minimum wage increase rate ranges from 8.3 per cent to 13.1 per cent. For the second five-year period, the annual growth rate of wages for all employees ranges from -0.9 per cent to 6.4 per cent while the minimum wage increase rate ranges from 2.75 per cent to 6.1 per cent, which has two interesting matches between 6.4 per cent of the annual growth rate of wages for all employees and 2.75 per cent of the minimum wage increase rate and between 5.3 per cent of the annual growth rate of wages and 6.0 per cent of the minimum wage increase rate. The annual growth rate of wages for all employees are based on the average monthly earnings of the Occupational Labour Force Survey At Establishments[사업체노동력조사] which is conducted every April and October by the Ministry of Employment and Labour for the sample of 32,300 workplaces with 5 or more permanent employees. 2 According to Haggard and Kaufman (1995), the neoliberal economic policy is based on the fundamental principle of business efficiency, trade liberalisation, market openness, and a ‘minimalist’ state for a market-oriented economy. The concrete strategies for those principles were named ‘Washington Consensus’ in 1989 by international economic institutes in Washington D.C., such as the International Monetary Fund (IMF) and the World Bank, which included privatisation of the public sector to maximise the market efficiency, deregulation for flexible labour market and free business activities, and openness focusing on trade and monetary market liberalisation (Williamson, 1990, quoted from Kim, K-O, 2011, pp.279-280). 3 In the special lecture for venture business leaders held in October, 2007, the former president Roh, Moo-Hyun clarified the identity of his administration as a progressive one, refusing to agree to the criticism of its economic policy from both conservative and progressive camps (YTN, 18 October, 2007, quoted from Kim, K-O, 2011). 4 The schedule of the financial hub plan were advanced at the first financial hub meeting chaired by the president in June of 2005, from 2012 to 2010 for the construction of asset management-specialised financial hub and from 2020 to 2015 for the final goal (The National Economic Advisory Council [국민경제자문회의], 2007, p.225) 5 According to a survey that the Realmeter, an independent research company, conducted in March, 2010, opposition against the project was 49.9 per cent while supports for it, 36.7 per cent (Lee, Chang-Hwan, (22 May, 2017) ‘What is ‘the Four Major River Project’ on which the Blue House ordered inspection’ [청와대 감사 지시 ‘4 대강 사업’은 무엇인가], The Asia Economy Daily [아시아경제]). 6 The estimated ripple effect on production ranges from 13 trillion won to 46.5 trillion won, and the estimated effect on employment also varies from 46,628 jobs to 317,470 jobs. For detail, see Yoo, Seung-Hoon & Park, Dooho (2013). The effects of the Four Major Rivers Restoration Project on regional economy [4 대강 살리기 사업의 지역경제 파급효과]. The Journal of Wetland Research [한국습지학회지], 15, 159-164. 7 By the Labour Standards Act amended in September 2003, the statutory weekly working hours were reduced from 44 hours to 40 hours in phase. It was applied to the firms employing 1,000 full-time employees and more, financial and insurance businesses, and government-
257
funded organisations from July, 2004, and yearly extended until 2008 to the firms employing 300 and more and below 1,000, to the ones employing 100 and more and below 300, to the ones employing 50 and more and below 100, and to the ones employing 20 and more and below50, respectively. For the firms employing below 20, it was applied from July 2011. 8 The Article 1 of the Minimum Wage Act states that ‘the purpose of this Act is to stabilize workers’ life and to improve the quality of the labour force by guaranteeing a certain minimum level of wages to workers, thereby contributing to the sound development of the national economy’.
258
Chapter Nine Conclusion
Introduction
This thesis explored how the minimum wage in South Korea affected older workers.
Three main questions were addressed: 1) how the minimum wage affects the
distributions of wages and family earnings, employment and exits from in-work poverty
among older workers, 2) whether different rates of increase in the minimum wage have
different effects among older workers, and 3) how the empirical results of the minimum
wage effects on older workers can be understood. These questions were examined
through a case study of South Korea. Two consecutive government periods, Roh, Moo-
Hyun government (2003-2008) and Lee, Myung-Bak government (2008-2013), were
compared both empirically and contextually. Using the Korean Labour and Income
Panel Study (KLIPS), linear least squares (OLS) models, fixed-effects models, and
multilevel discrete-time event history models for competing risks were mainly
employed for the empirical part of the analysis. Also exploiting the Minimum Wage
Council’s annual report on minimum wage fixing process, The National Minimum Wage
for the Year of OOOO: The Details of Deliberation and Decision, a contextual analysis
was conducted for further discussion of empirical findings. In this final chapter, the
main findings of this thesis will be summarised answering the research questions
addressed. Then, the review of the contributions and policy implications that this study
made is followed by the limitations of and reflections on the research method that this
study exploited.
Summary of Findings
The empirical part of this thesis provided answers to the first two research questions,
how the minimum wage affects the distributions of wages and family earnings,
employment and exits from in-work poverty among older workers and whether different
rates of increase in the minimum wage have different effects among older workers.
259
Regardless of the rate of increase, the minimum wage created a spike at or around the
minimum wage in the distribution of wages for older employees, but with a large
proportion in the distribution left below the minimum wage. High increases in the
minimum wage had significant effects on the middle percentiles of wages among older
employees while low increases in the minimum wage had only on the median of wages
among them. Further, high increases in the minimum wage reduced marginally and
significantly the wage gap between the highest wage bracket and the lowest or lower-
middle wage brackets but changed ambiguously the gap between the middle and lowest
wage brackets. Low increases in the minimum wage had marginal and significant
effects on the wage gap between the highest wage bracket and the lowest or middle
wage brackets. In terms of the employment effects, there was no significant correlation
between the increase in the minimum wage and regional changes in employment or
unemployment rates among older employees for the period with highest rates of
increase in the minimum wage. By contrast, low increases in the minimum wage were
negatively and significantly correlated with regional changes in unemployment rates
among older individuals. As regards the effects on the distribution of older employees’
family earnings, no significant effect was found for the period with high increases in the
minimum wage, whereas low increases were responsible for the rise in the median of
older employees’ family earnings. Further, high increases in the minimum wage had no
significant effect on exits from in-work poverty among older employees’ households,
and small increases in the minimum wage marginally but significantly reduced the
chance for older employees’ households in poverty to exit from it.
These results were obtained from appropriate methods with consideration for the
instituional peculiarities of the Korean national minimum wage. However, as already
stated in Chapter Seven, the results for the distribution of wages and family earnings
and employment among older employees from the OLS and fixed-effects models at the
regional level should be reviewed with particular caution, in that no equivalent data for
comparison groups to which the minimum wage was not applied were available. By
comparison, it can be concluded that an increase in the minimum wage rarely leads to
an individual’s dismissal and exit from in-work poverty among older employees, in that
the event history models directly addressed the likely transitions from a concerned
260
starting point. The methodological shortcomings are addressed again in the limitation
and reflection section of this chapter.
These empirical results can be largely explained by the neoclassical economic
explanations. However, the economic explanations left the questions of why the
increase in the minimum wage had no disemployment effect among older employees,
regardless of its level of increase, why noncompliance with the minimum wage
significantly exited among older employees, despite the legal sanctions, in both five-
year periods, and ultimately how the minimum wage operates in practice and for what.
The third research question, how the empirical results of the minimum wage effects on
older workers can be understood, was further explored by a contextual analysis based
on the political economy framework proposed in Chapter Five. Under different
government policy orientations, the dynamics of power between government, employers
and employee in the minimum wage fixing process during each five-year period made
distinctive characteristics of the minimum wage in each period. The high increases in
the minimum wage during the Roh government was characterised as the preservation of
low paid workers’ monthly pay curtailed by the reduction of the statutory working
hours, the exemption from the minimum wage of and the subminimum for surveillance
or intermittent work playing a role as a wage floor for older workers, and the
noncompliance with the minimum wage caused by the government’s loose
management. The role of the minimum wage to preserve monthly pay curtailed by the
reduction of the statutory working hours restrained wage increases among a
considerable proportion of employees for this period and brought about small and
significant effects on the wage distribution without disemployment effect, relying on
some employers’ practice of maintaining working hours through overtime in response to
the reduction of the statutory working hours and firms to which the reduced working
hours were not applied. However, since the role made roughly half of employees’
monthly pay remain at the same level, it prevented the increases in hourly wages for the
other half caused by the increases in the minimum wage from sufficiently enhancing the
rate of increase in annual family earnings among all employees. This provides insight to
the insignificant minimum wage effect on exits from in-work poverty, in that the main
income source of households in in-work poverty would be family members’ earnings.
261
The exemption from the minimum wage of and the subminimum for surveillance or
intermittent work was also important, particularly for the minimum wage effects on
older employees. The discussions and debates through the minimum wage fixing
process informed that they played a role as a wage floor for older employees in practice.
As the subminimum was fixed in its first year below the average market wage for the
work before it was introduced, it increased above the exempted level only in the last
year of the period. This explained that the practical exemption of older workers from the
minimum wage during this period restrained those paid less than the minimum wage
from obtaining its benefit and deprived older employees’ households in poverty of the
chance to be out of it. It also suggested that the ambiguous change in the lowest wage
bracket resulted from employers’ wage practices for their low paid older employees
based on the exemption from the minimum wage but responding to the high rate of
increases in the minimum wage in consideration of employees’ pay cut by the curtailed
statutory working hours.
Meanwhile, the low increases in the minimum wage during the Lee government were
characterised as increases slightly higher than the annual pay award, the preservation of
low paid workers’ monthly pay curtailed by the reduction of the statutory working hours
in 2012, the considerable increase in subminimum for surveillance or intermittent work
in 2012, and the noncompliance with the minimum wage by the government’s loose
management of it. The low increases in the minimum wage slightly higher than the
annual pay award were responsible for the marginal changes in the wage distribution,
centring on the increase in its median, and insignificant disemployment effect. As the
minimum wage increased at a low rate, employers were likely to mainly raise wages
close to a minimum wage rate and selectively increase their bottom wages far lower
than a rate, having less pressure on wage differentials. This implied insignificant rises in
labour costs and further provided a clue to the marginal improvement only in the
median of family earnings of older employees and the reduction in the chance to exit
from in-work poverty. The median family earnings of older employees would be much
below the equivalent of all employees, and thus older employees earning their median
family earnings were likely to be those paid close to a minimum wage rate.
Nonetheless, as the marginal increases in the minimum wage rarely raise wages far
262
lower than a minimum wage rate and thus were likely to make little improvement in
family earnings of older employees’ households below the median, the chance to exit
from in-work poverty could be reduced among older employees. The role of the
minimum wage to preserve monthly pay curtailed by the reduction of the statutory
working hours in 2012 were thought to be a factor of weakening the impact of the
minimum wage, in that the reduction was applied to roughly a half of the entire
employees. But, the remarkable increase in 2012 in the subminimum for surveillance or
intermittent work, which worked as a wage floor for older employees, played a decisive
role in the marginal but significant effects in the wage distribution among older
employees by making the three-year increases in the subminimum for this five-year
period, compared to the two-year minor increases in the normal minimum wage owing
to the reduced working hours.
For the two showcased five-year periods, noncompliance with the minimum wage was
prevalent, relying largely on the loose supervision of both governments which had an
exclusive power with regard to the minimum wage in its implementation stage.
Nonetheless, such noncompliance seems to have been based on the combination of
employers’ perceptions of older employees’ labour productivity and older workers’
internalisation of social perceptions of themselves as partly reflected in the interview
responses in the Minimum Wage Commission’s field investigations.
Contributions
This thesis has contributed to knowledge in three ways. Firstly, it added limited but
significant findings to the research of the minimum wage effects on older workers. The
empirical results provided evidence that an increase in the minimum wage had no
disemployment effect at an individual level among older workers. This might suggest
that non-negative employment effects are likely to be the norm rather than the exception
for older workers, in that Fang and Gunderson (2009) found positive employment
effects for Canadian older workers. On top of the employment effects, this research
provided empirical results of the minimum wage effects on the distributions of wages
and family earnings among older employees and evidence of no improvement in their
263
chance to exit from in-work poverty. Although the results of the distributions of wages
and family earnings are high plausibility rather than conclusive evidence due to the
unavailability of using an ideal research design, those findings newly explored and
added to the research of the minimum wages effects on older workers could work as a
starting point of broadening the scope of the research field. This research also compared
the minimum wage effects produced by very different levels of increases in the
minimum wage. Since such comparison has rarely been conducted in the research of the
minimum wage effects, it could give a fresh insight into the effects of the minimum
wage.
Secondly, this thesis addressed the points which were not easily understood by the
mainstream economic explanations and demonstrated better understandings of the
empirical findings in addition to proposing an alternative political economy framework.
Although the empirical results were largely understood by the mainstream economic
theories and general economic rules, a considerable part of the results, such as a large
proportion of those paid below the minimum wage and insignificant disemployment
effects, were not explained. The findings from a contextual analysis based on the newly
proposed framework provided more concrete explanations of the empirical results. For
example, the implicit characteristics of the minimum wage, which were formed by the
dynamics of power among government, employers, and employee, plus a government’s
policy orientation, informed that the non-negative employment effects for Korean older
workers resulted from changes in related regulations lowering the level of increase in
the minimum wage in practice and the exclusively low level of wages among older
employees. This may suggest the necessity to take account of the minimum wage policy
process for further understanding of the empirical results, especially in that Fang and
Gunderson’s (2009) supposition of the positive employment effects among Canadian
older workers brought about by the substitution between arguably more productive low-
paid older workers and arguably the least productive teenagers was denied by Lanot and
Sousounis’ (2017) findings in the UK context. The explanations based on the analysis of
the minimum wage policy process for a large proportion of those paid below the
minimum wage and the apparent inconsistency among the results of the wage
distribution, of the distribution of family earnings, and of exits from in-work poverty
264
also support the necessity by providing new information, including older employees’
internalisation of social perception on themselves, and calling attention to the
importance of changes in other related regulations.
Connecting to the second point, this thesis showed the usefulness of employing a
contextual analysis with qualitative data in the research of the minimum wage effects.
Although a quantitative analysis using a sophisticated inference is a norm in the
research field, accumulated empirical evidence from it are inconsistent and significantly
unexplained by the dominant theories. As shown earlier, the findings from the
contextual analysis of the minimum wage policy process fill the gap between the
empirical results and the understanding of them. The consideration of the political
attributes that the minimum wage has as a public policy may not necessarily lead to a
qualitative analysis. However, stressing the point that an exploration of the policy
process is necessary for figuring out complex contexts of the changing political
attributes of the minimum wage, this research used the contextual analysis with
qualitative data. This called additional attention to textual data, which informed what
was discussed and decided in the minimum wage policy process and what was not and
how the decided and undecided issues worked to create the characteristics of the
minimum wage. Despite the importance of its value as a record of the minimum wage
policy process, the Minimum Wage Council’s annual reports, which were used for the
contextual analysis in this thesis, have never been used as data in previous research on
the minimum wage effects in Korea. This first try at employing the reports for the
research on the minimum wage effects might induce the production of more detailed
and definitive records as regards the minimum wage policy process for researchers in
this field to use them in various ways.
Policy Implications
The findings from both quantitative and qualitative analyses provide several critical
implications to government and policy decision-makers. First and most importantly, the
findings imply that older workers are particularly vulnerable as regards minimum wage
policy and its effects. The results that a large proportion of older employees were paid
265
below the minimum wage and that the two indicators of an increase in the minimum
wage had contrasting effects in lower wage brackets implies that employers’ widespread
wage practice exclusively to their low-paid older employees is based on the extent of
the gap between the bottom wages and a minimum wage rate rather than on compliance
with the minimum wage, relying on their perception of older workers’ productivity. This
is supported by the facts that the proportion paid less than the minimum wage was kept
below 13 per cent among all employees during the researched periods (Lee, G-P, 2019)
and the contrasting effects of the two indicators were not found in Jeong, J-H’s (2011)
study for all employees. The fact that the Minimum Wage Commission, despite its
likely violation against the age discrimination law, kept discussing the feasibility of a
subminimum for older workers for several years since the subminimum for surveillance
or intermittent work was introduced, which suggested that the subminimum for
surveillance or intermittent work worked as a practical wage floor for older employees,
also support the implication of employers’ discriminatory wage practice to older
workers. This further implies that government and policy decision-makers share
employers’ biased perceptions of older workers, without reliable evidence about their
low productivity. A more critical finding which calls attention of government and policy
decision-makers is that older workers are likely to internalise such biased perception of
themselves and actively accept employers’ discriminatory wage practice.
Older workers’ vulnerability described above addresses the issue of the government’s
management of noncompliance with the minimum wage and the widespread biased
perception of older workers. As presented in Chapter Eight, government tended to
neglect the management of it, especially for firms hiring older workers. Government
and policy decision-makers’ share of employers’ biased perception of older workers
gives rise to concern that they would keep allowing employers’ noncompliance with the
minimum wage, especially for their low-paid older employees. However, recalling that
the empirical results of the distribution of older employees’ family earnings and of their
chance to exit from poverty, especially for the period with low rate of increase in the
minimum wage, suggested low wage older employees benefiting from an increase in the
minimum wage were likely to be largely breadwinners in low-income households,
unlike their younger counterparts, and noncompliance with the minimum wage mainly
266
brought about the negative effect on their chance to exit from in-work poverty, fair
management of noncompliance could improve the welfare of low-income older
employees’ households and relieve in-work poverty among older workers. This point
needs to be emphasised more, in that the subminimum for surveillance or intermittent
work was abolished as the normal minimum wage rate was applied to this work from
2015. At the same time, older workers’ vulnerability presented by the findings of this
research may suggest the need for government’s comprehensive review of their
perception of older workers (and further older people) in making and implementing
policies and provisions of measures to improve employers’ perception of older workers,
in consideration of rapidly ageing Korean workforce.
This thesis also reminds us of the fact that the effects of the minimum wage can be
largely influenced by the changes in other related regulations as well as within the
minimum wage act. The findings from the contextual analysis indicated that the
introduction of the subminimum for surveillance or intermittent work made a part of
noncompliance with the minimum wage legalised, which contributed to a large
proportion paid less than the minimum wage, whilst an later increase in the
subminimum worked as a critical factor to induce some positive effects, and the change
in the Labour Standard Act, particularly in the statutory weekly working hours,
critically weakened the impact of the minimum wage. It was shown that such findings
were from the absence of the sufficient research and discussion about the plausible
influence of related legal changes in the minimum wage fixing process. In as much as
the debates on the minimum wage recently heat up further but still remain in focusing
on its rate of increase, the comprehensive consideration of the influences of various
legal changes would provide a clue to relieving conflicts and reaching an agreement as
well as to generating desirable minimum wage effects.
Limitations and Reflections
Several points that this research was not able to cover or could have further considered,
particularly in terms of research methods, can be noted as follows. As stated in Chapter
Seven, the empirical results obtained from the OLS and fixed-effects models should be
267
cautiously understood because no comparison group was available. If equivalent data
were available for before the introduction of the minimum wage or for regions/sectors
with no application of the minimum wage, the models could be tested for the difference
between times in the difference between the various percentiles of wages and family
earnings or employment and unemployment rates before the introduction of the
minimum wage or in regions/sectors where it was not applied and their counterparts
after the introduction or in regions/sectors with an increase in the minimum wage.
However, the institutional peculiarities of the Korean national minimum wage allow us
to set up no comparison groups, and accordingly, the estimated OLS and fixed-effects
models in this study may not provide robust evidence of minimum wage effects but high
plausibility.
By comparison, the empirical results from the multilevel discrete-time event history
models for competing risks are convincing but do not provide a full account of
employment effects for older workers and a further exploration of their plausible inflow
into in-work poverty resulted from an increase in the minimum wage. Since the main
concerns of this thesis as regards employment and poverty issues were whether an
increase in the minimum wage would bring about older employees’ dismissal and raise
their chance to exit from in-work poverty at an individual level, the event history
models examined individuals’ transitions only from being employed and from being in
in-work poverty for each topic. In this regard, the findings do not inform us of whether
an increase in the minimum wage prevented new hires or induced the fall into in-work
poverty among older workers. For a full account of employment effects, the minimum
wage effect on older workers’ transitions from being unemployed or being in other types
of employment to being employed should be also explored. Likewise, for a further
exploration of the minimum wage effect on older employees’ inflow into in-work
poverty, whose possibility was raised by the negative and significant result of the
minimum wage effect on older employees’ exits from in-work poverty for the second
five-year period, older workers’ transitions from other states, such as being employed
but not poor, being unemployed, or being in other types of employment, can be
examined.
268
This thesis could have conducted qualitative interviews for an exhaustive study of the
minimum wage fixing process. Although the Minimum Wage Council’s annual report
gave relatively detailed accounts of the process, including each representative group’s
demands and responses, the discussions and interactions between the groups, surveys
and workshops conducted by the commission, and recommendation to government,
there are likely to be more facts and contexts which were not presented in the official
government document. For this thesis, qualitative interviews were virtually impossible
because of time limits and the issue of accessibility to interviewees. Several of the
critical years of the Korean Labour and Income Panel Study were released one year later
than originally scheduled, and the multiple level discrete-time event history models for
competing risks required a huge amount of preparatory work with the data.
Experiencing time constraints for the empirical analysis part, it was concluded that
interviews with at least two groups of 27 former commission representatives in Korea
would exceed the possibility of this thesis and it would be better to leave it for future
study.
Lastly, the fact that the contextual analysis of this study focused on the minimum wage
fixing process implies that the understanding of the empirical results from the
contextual analysis could have a lacuna which is explained by an analysis of the
minimum wage implementing stage. Particularly for noncompliance, looking at the
practices of government department and branch offices, which are responsible for
inspection and control of violation of the minimum wage, would provide more abundant
information for a sound explanation. Meanwhile, this study did not deal with the
influence of public opinion in the contextual analysis because a cohesive and powerful
force of public opinion significantly involved in the minimum wage policy process was
not found for the observed periods. It seems that the Minimum Wage Commission
externally fulfil the necessary conditions for a social consultative group, and in this
regard, potent movements of civic groups for or against the minimum wage are likely to
be rarely found. However, public opinion is a political factor not to be overlooked, in as
much as it exhibits potentially an influential force as often observed with regard to other
issues.
269
Conclusion
This thesis studied the impact of the minimum wage on older workers in a Korean
context, in terms of their distributions of wages and family earnings, employment, and
chance to exit from in-work poverty. Despite the limitations of some statistical models,
it provided critical empirical results and evidence on the effects, and further
demonstrated through a contextual analysis the link between the empirical results and
the outcomes of the minimum wage policy process, based on a newly proposed political
economy framework for an enhanced understanding of the minimum wage effects. The
findings of this thesis, first and most importantly, showed that older workers were
especially vulnerable even in terms of minimum wage policy, which was expected to
work as a bottom line for the lowest paid in the labour market. It was pointed out that
such vulnerability was likely to be reproduced by government’s sharing employers’ poor
perceptions of older workers, and older workers’ internalisation of the perception, as
well as employers’ discriminatory wage practices based on their biased perception of
older workers’ productivity. These main points of this thesis call special attention to the
fact that older workers should no longer be ‘them’ either in the labour market or in our
society and should be included as ‘us’ in public policies and labour market practices,
especially when facing unprecedented rapidly ageing workforces, particularly in Korea.
270
Appendix
Appendix 1: KLIPS Data Used and Minimum Wage (MW) Applied
MW Fixing Time Point
MW Rate Application Period
MW Applied (\) (Increase
Rate, %)
KLIPS Wave Used
(Data Collection Period)
Roh, Moo-Hyun
Government (2003.2 –
2008.2)
2003. 8 2003. 9 – 2004. 8 2,510 (10.3) Wave 7 (2004. 4 - 9)
2004. 8 2004. 9 - 2005. 8 2,840 (13.1) Wave 8 (2005. 4 -9)
2005. 8 2005. 9 – 2006. 12 3,100 (9.2) Wave 9 (2006. 4 –9)
2006. 8 2007 3,480 (12.3) Wave 10 (2007. 4 –9)
2007. 8 2008 3,770 (8.3) Wave 11 (2008. 4- 9)
Lee, Myung-
Bak Government
(2008.2 – 2013.2)
2008. 8 2009 4,000 (6.1) Wave 12 (2009. 4 - 9)
2009. 8 2010 4,110 (2.75) Wave 13 (2010. 4 - 9)
2010. 8 2011 4,320 (5.1) Wave 14 (2011. 4 - 9)
2011. 8 2012 4,580 (6.0) Wave 15 (2012. 4 - 9)
2012. 8 2013 4,860 (6.1) Wave 16 (2013. 4 - 9)
Note: Each data collection period contains September in which a new minimum wage rate is applied, but Wave 7 & 8 are assumed to represent the effect of an established minimum wage rate rather than a newly applied one; Information on the fraction of those affected by a new minimum wage rate and on household income for each year was from the previous wave and the following wave, respectively. Thus, information on the fraction of those affected by the rate applied between September, 2003 and August, 2004 was from Wave 6; and information on household income for 2013 was from Wave 17.
271
Appendix 2: MLwiN Macros for Multilevel Competing Risks Models
A. Analysis of Transition in Employment Status
NOTE: The Effect of Minimum Wage on Older Workers' Employment? Macro to set up Multilevel Models for Competing Risks in MLwiN NOTE: C:\Documents\Database\emp0711.sav NOTE: c1-c12: c1 'id' c2 'year' c3 ‘event’ c4 'dur' c5 'atrisk' c6 'sex' c7 'age' c8 'edu' c9 ‘mwap’ c10 ‘aplr’ NOTE: Calculate duration-squared variable calc c11='dur'*'dur' name c11 'dursq' NOTE: Create level 2 ID (coded 1,2, . . ., 2338) code 2338 1 1 c12 name c12 'lev2id' NOTE: Create vector of ones - needed for estimation of intercept terms put 2338 1 c13 name c13 'cons' NOTE: Declare event as categorical then as a multinomial response, with category 0 the reference NOTE: 2 new variables are created, the stacked binary responses for categories 1 and 2 and a response index catn 1 'event' 0 'stillemp' 1 'une' 2 'selfe' mnom 0 'event' c14 c15 0 name c14 'resp' c15 'resp_ind' NOTE: Create 'long' version of ATRISK. (Values of other variables will be repeated automatically when added to the multinomial model.) repe 2 'atrisk' c17 name c17 'atrisk_long' NOTE: Divide by ATRISK to obtain probability of each type of event within one-year interval and declare as response calc c18='resp'/'atrisk_long' name c18 'y' resp 'y' NOTE: Declare ATRISK as the denominator calc c19='atrisk_long' name c19 'denom' NOTE: Declare multilevel structure. Level 1 used to define multivariate structure. iden 1 'resp_ind' 2 'lev2id' 3 'id' NOTE: Declare sex edu mwap variables as categorical and name categories catn 1 'sex' 1 'male' 2 'female' catn 1 'edu' 1 'high-' 2 'high+' catn 1 'mwap' 0 'mw not affected' 1 'mwaffec' NOTE: Add covariates addt 'cons' addt 'dur'
272
B. Analysis of Exits from In-Work Poverty
NOTE: The Effect of Minimum Wage on Older Workers' Exit from Poverty? Macro to set up Multilevel Models for Competing Risks in MLwiN NOTE: C: \Documents \Database \wp0711.sav NOTE: c1-c12: c1 'id' c2 'year' c3 'event' c4 'dur' c5 'atrisk' c6 'sex' c7 'age' c8 'edu' c9 'hhold' c10 'fnum' c11 ‘mwap’ c12 ‘aplr’ NOTE: Calculate duration-squared variable calc c13='dur'*'dur' name c13 'dursq' NOTE: Create level 2 ID (coded 1,2, . . ., 670) code 670 1 1 c14 name c14 'lev2id' NOTE: Create vector of ones - needed for estimation of intercept terms put 670 1 c15 name c15 'cons' NOTE: Declare event as categorical then as a multinomial response, with category 0 the reference NOTE: 2 new variables are created, the stacked binary responses for categories 1, 2, 3 and a response index catn 1 'event' 0 'stillwp' 1 'exitwp' 2 'une' 3 'selfe' mnom 0 'event' c16 c17 0 name c16 'resp' c17 'resp_ind' NOTE: Create 'long' version of ATRISK. (Values of other variables will be repeated automatically when added to the multinomial model.) repe 3 'atrisk' c19 name c19 'atrisk_long' NOTE: Divide by ATRISK to obtain probability of each type of event within one-year interval and declare as response calc c20 ='resp'/'atrisk_long' name c20 'y' resp 'y' NOTE: Declare ATRISK as the denominator calc c21 ='atrisk_long' name c21 'denom' NOTE: Declare multilevel structure. Level 1 used to define multivariate structure. iden 1 'resp_ind' 2 'lev2id' 3 'id' NOTE: Declare sex edu hhold mwap variables as categorical and name categories catn 1 'sex' 1 'male' 2 'female' catn 1 'edu' 1 'high-' 2 'high+' catn 1 'hhold' 0 'not household' 1 'household' catn 1 'mwap' 0 'mw not affected' 1 'mwaffec' NOTE: Add covariates addt 'cons' addt 'dur'
273
Appendix 3: Growth in Minimum Wage, Annual Pay Award, Annual Inflation (CPI) & GDP per capita, and Minimum Wage relative to Average Wage of Full- time Workers in South Korea, 1988-2014 (%)
Growth in MW
Annual Pay Award
Annual Inflation
GDP per capital growth
MW relative to mean wage of full-time workers
MW relative to median wage of full-time workers
1988 - - 7.1 10.8 26.00 32.96
1989 26.3 - 5.7 6.0 27.97 34.65
1990 15.0 - 8.6 8.7 27.36 33.67
1991 18.8 - 9.3 9.3 27.34 33.31
1992 12.8 - 6.2 5.1 26.11 30.82
1993 8.6 - 4.8 5.8 25.70 30.08
1994 8.0 - 6.3 8.1 25.33 29.13
1995 7.8 - 4.5 8.5 23.92 27.78
1996 9.0 - 4.9 6.6 23.06 27.21
1997 9.8 - 4.4 4.9 23.23 27.12
1998 6.1 -2.7 7.5 -6.2 24.31 28.50
1999 2.7 2.1 0.8 10.5 24.95 29.46
2000 4.9 7.6 2.3 8.0 23.81 28.80
2001 16.6 6.0 4.1 3.7 26.09 31.81
2002 12.6 6.7 2.8 6.8 27.31 33.42
2003 8.3 6.4 3.5 2.4 27.30 34.00
2004 10.3 5.2 3.6 4.5 28.22 35.31
2005 13.1 4.7 2.8 3.7 29.78 37.29
2006 9.2 4.8 2.2 4.6 30.62 38.92
2007 12.3 4.8 2.5 4.9 33.35 42.86
2008 8.3 4.9 4.7 2.1 34.13 43.60
2009 6.1 1.7 2.8 0.2 35.91 45.20
2010 2.8 4.8 2.9 6.0 35.86 45.07
2011 5.1 5.1 4.0 2.9 35.82 45.48
2012 6.0 4.7 2.2 1.8 34.11 42.94
2013 6.1 3.5 1.3 2.4 35.06 44.22
2014 7.2 4.1 1.3 2.7 35.71 45.85
Source: Korea Minimum Wage Council (http://www.minimumwage.go.kr) & OECD.Stat (http://stats.oecd.org/Index.aspx) Note: ‘-‘ data not available
274
Appendix 4: Changes in Labour Force Participation, Employment and Unemployment among Workers Aged 50+ in South Korea, 2000- 2014 (%)
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Participation rate 50-54 Years old 72.5 72.5 73.3 72.7 72.9 73.8 74.1 74.5 75.4 75.6 75.9 76.4 77.0 77.6 78.8 55-59 Years old 64.3 64.1 64.8 64.7 65.1 64.9 64.7 66.6 67.3 67.3 68.3 68.9 69.7 70.7 72.6 60-64 Years old 54.3 54.8 55.9 52.7 53.7 54.5 55.8 56.3 55.1 55.1 55.5 56.9 57.8 58.5 59.8 65+ 29.6 30.0 30.7 28.7 29.8 30.0 30.5 31.3 30.6 30.1 29.4 29.5 30.7 31.4 31.9 Employment/population ratio 50-54 Years old 70.2 70.3 71.8 71.3 71.4 72.1 72.6 73.0 73.9 73.7 74.2 74.7 75.4 76.3 77.2 55-59 Years old 62.2 62.5 63.7 63.2 63.4 63.1 63.2 65.2 65.9 65.6 66.5 67.4 68.1 69.2 70.8 60-64 Years old 53.0 53.7 55.0 51.8 52.7 53.4 54.5 55.0 54.1 53.8 53.7 55.1 56.1 57.2 58.3 65+ 29.4 29.9 30.5 28.6 29.6 29.8 30.3 31.1 30.3 29.7 28.7 28.9 30.1 30.9 31.3 Unemployment rate 50-54 Years old 3.2 3.0 2.0 2.0 2.1 2.3 2.0 2.1 1.9 2.5 2.3 2.1 2.0 1.7 2.1 55-59 Years old 3.3 2.6 1.8 2.4 2.6 2.8 2.4 2.1 2.1 2.4 2.6 2.1 2.3 2.1 2.5 60-64 Years old 2.3 2.0 1.6 1.6 1.7 2.1 2.3 2.3 1.7 2.2 3.4 3.1 2.8 2.3 2.6 65+ 0.6 0.5 0.5 0.4 0.7 0.7 0.7 0.7 0.8 1.2 2.4 2.2 2.1 1.5 2.0
Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year.
275
Appendix 5: Changes in the Growth Rate in Population, Labour Force Participation and Employment among Workers Aged 50+ in South Korea, 2001-2014 (%)
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
50-54 years old
Population 2.9 3.2 3.0 4.9 9.4 7.9 6.7 4.6 5.1 4.8 3.4 2.4 1.7 0.4 Labour force participation 2.9 4.3 2.1 5.3 10.7 8.3 7.4 5.8 5.4 5.2 4.0 3.2 2.5 1.9 Employment 3.1 5.4 2.2 5.2 10.4 8.6 7.3 6.0 4.8 5.4 4.2 3.4 2.8 1.6
55-59 years old
Population 0.2 1.7 3.7 4.5 5.1 3.4 2.6 2.5 4.8 6.8 7.5 6.9 5.7 5.6 Labour force participation -0.1 2.9 3.5 5.1 4.8 3.2 5.4 3.7 4.7 8.5 8.4 8.3 7.2 8.3 Employment 0.7 3.7 2.8 4.9 4.6 3.6 5.8 3.7 4.3 8.3 9.0 8.1 7.4 7.9
60-64 years old
Population 2.4 2.5 1.2 -0.3 0.2 1.7 2.4 1.9 3.9 4.0 3.5 3.1 3.0 4.9 Labour force participation 3.4 4.5 -4.6 1.5 1.9 3.9 3.4 -0.3 3.8 5.0 6.0 4.7 4.4 7.2 Employment 3.8 4.9 -4.6 1.3 1.6 3.7 3.4 0.3 3.3 3.8 6.3 4.9 5.0 6.9
65 +
Population 5.5 5.5 5.4 5.2 8.1 4.5 2.9 3.4 3.3 3.7 4.2 5.4 3.6 4.2 Labour force participation 6.9 8.0 -1.3 9.2 8.7 6.2 5.5 1.1 1.5 1.5 4.6 9.7 5.8 6.1 Employment 7.0 7.9 -1.2 8.9 8.7 6.2 5.5 1.0 1.1 0.3 4.8 9.9 6.4 5.5
Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year, Author’s calculation
276
Appendix 6: Changes in Employment Status of Workers Aged 50+ in South Korea, 2007-2013, (%)
2007. 08 2008. 08 2009. 08 2010. 08 2011. 08 2012. 08 2013. 08
Self-Employed
50-59 Years old 36.9 35.8 35.2 33.2 33.0 32.8 31.6 60 Years old and over 50.1 49.4 45.4 44.3 44.3 44.0 43.4
Wage Employees
50-59 Years old 54.3 55.2 56.6 58.9 59.5 60.5 61.6 60 Years old and over 37.1 37.2 42.4 44.0 44.2 44.2 45.8
Regular · Irregular
50-59 Regular 57.4 60.4 59.4 60.7 60.4 62.4 62.9 50-59 Irregular 42.6 39.6 40.6 39.3 39.6 37.6 37.1 60+ Regular 34.0 34.3 27.3 30.4 29.5 29.5 32.5 60+ Irregular 66.0 65.7 72.7 69.6 70.5 70.5 67.5
Source: The National Statistical Office of Korea, Supplementary Results (by Type of Employment and for Non-wage Workers) of the Economically Active Population Survey [경제활동인구조 사 (근로형태별, 비임금근로자) 부가조사], Every August in Each Year, Author’s calculation.
277
Appendix 7: Changes in Industrial Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%)
2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5
55-79 years old
Agriculture, Forestry & Hunting (A) 33.6 31.9 29.1 28.5 27.4 24.4 23.5 21.9 21.2 19.2 Mining (B) 0.1 0.1 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.1 Manufacturing (C) 8.7 8.4 8.6 9.2 8.5 9.1 9.1 9.2 9.2 10.1 Construction (F) 6.4 6.0 6.4 6.4 5.7 6.8 6.9 7.0 7.2 7.5 Wholesale & Retail Trade, Hotel &
Restaurants (G,I) 19.2 20.0 20.5 20.0 20.1 18.9 19.6 19.6 19.2 19.5
Business, Personal, Public Service & Others (E,L~U)
25.3 26.7 28.6 28.8 30.7 32.3 31.4 32.9 33.3 33.5
Electricity, Transport, Communication & Finance (D,H,J,K)
6.9 7.0 6.7 7.1 7.5 8.4 9.4 9.3 9.8 10.1
55-64 years old
Agriculture, Forestry & Hunting (A) 22.1 20.5 18.2 17.8 17.2 15.0 13.8 13.1 12.6 11.4 Mining (B) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Manufacturing (C) 10.9 10.4 10.4 11.1 10.5 11.3 11.0 11.3 11.6 12.8 Construction (F) 8.2 8.0 8.6 8.8 7.5 8.9 9.1 9.1 9.2 9.2 Wholesale & Retail Trade, Hotel &
Restaurants (G,I) 20.8 22.4 22.5 21.0 22.2 20.8 21.6 21.1 20.7 21.3
Business, Personal, Public Service & Others (E,L~U)
29.2 29.8 31.3 32.0 32.9 33.6 32.8 34.0 34.1 33.7
Electricity, Transport, Communication & Finance (D,H,J,K)
8.7 8.8 9.0 9.3 9.5 10.3 11.7 11.3 11.6 11.6
278
2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5
65-79 years old
Agriculture, Forestry & Hunting (A) 55.0 52.6 48.8 48.0 46.5 42.7 43.1 39.6 38.1 35.4 Mining (B) 0.0 0.1 0.1 0.1 0.1 0.0 0.0 0.0 0.0 0.0 Manufacturing (C) 4.5 4.9 5.4 5.9 4.6 4.9 5.3 5.1 4.6 4.7 Construction (F) 2.9 2.4 2.4 2.2 2.2 2.5 2.5 2.7 3.2 4.1 Wholesale & Retail Trade, Hotel &
Restaurants (G,I) 16.1 15.6 17.0 17.9 16.2 15.4 15.7 16.6 16.3 15.9
Business, Personal, Public Service & Others (E,L~U)
18.2 20.9 23.7 23.0 26.6 29.7 28.5 30.7 31.7 32.9
Electricity, Transport, Communication & Finance (D,H,J,K)
3.4 3.7 2.6 3.0 3.9 4.7 4.9 5.4 6.1 7.0
Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사], Every May in Each Year, Author’s calculation Note: Industry groups are based on the 9th Korean Standard Industrial Classification (KSIC) [제 9차 개정 한국표준산업분류]. D: electricity, gas, steam and water supply, E: sewerage, waste management, materials recovery and remediation activities, G: wholesale and retail trade, H: transportation, I: accommodation and food service activities, J: information and communication, K: financial and insurance activities, L: real estate activities and renting and leasing, M: professional, scientific and technical activities, N: business facilities management and business support services, O: public administration and defence, compulsory social security, P: education, Q: human health and social work activities, R: arts, sports and recreation related services, S: membership organisations, repair and other personal services, T: activities of households as employers, undifferentiated goods- and services-producing activities of households for own use, U: activities of extraterritorial organisations and bodies.
279
Appendix 8: Changes in Occupational Composition among Workers Aged 55-79 in South Korea 2005-2014 (%)
2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5
55-79 years old
Clerks 2.6 2.8 3.0 2.8 3.5 3.3 3.6 3.9 4.4 5.1 Service & Sales Workers 19.0 18.7 20.0 19.3 18.9 18.1 19.5 19.8 19.6 20.6 Skilled Agricultural, Forestry &
Fishing Workers 31.3 29.9 27.3 26.7 25.2 22.5 21.6 20.5 19.7 17.8
Craft and Equipment, Machine Operating & Assembling Workers
14.2 14.9 15.2 16.4 16.5 18.3 19.3 19.6 20.3 21.0
Elementary Workers 25.1 26.0 26.6 25.9 27.3 29.2 26.9 27.5 27.6 26.7
55-64 years old
Managers & Professionals and Related Workers
9.7 9.6 9.9 10.8 10.3 10.5 11.0 10.6 10.3 10.9
Clerks 3.3 3.4 3.7 3.3 4.6 4.4 4.6 5.1 5.7 6.2 Service & Sales Workers 22.3 22.6 23.4 22.3 22.3 21.3 23.2 22.9 22.6 23.9 Skilled Agricultural, Forestry &
Fishing Workers 20.7 19.3 17.1 16.7 15.9 13.8 12.9 12.3 11.9 10.6
Craft and Equipment, Machine Operating & Assembling Workers
18.6 19.5 20.4 21.4 21.5 23.5 24.2 24.9 25.4 25.8
Elementary Workers 25.4 25.6 25.5 25.5 25.5 26.4 24.0 24.1 24.2 22.6
280
2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5
65-79 years old
Managers & Professionals and Related Workers
4.1 4.2 4.3 5.7 5.2 4.8 5.4 5.2 4.7 4.5
Clerks 1.4 1.6 1.8 1.8 1.6 1.4 1.4 1.4 1.9 2.7 Service & Sales Workers 13.1 11.9 13.7 13.9 12.5 11.9 11.9 13.6 13.6 13.8 Skilled Agricultural, Forestry &
Fishing Workers 51.0 49.1 45.7 44.6 42.7 39.3 39.2 36.6 35.1 32.6
Craft and Equipment, Machine Operating & Assembling Workers
6.1 6.4 6.0 7.3 7.3 8.2 9.2 8.9 10.1 11.0
Elementary Workers 24.4 26.8 28.5 26.7 30.6 34.5 32.9 34.4 34.5 35.3 Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사], Every May in Each Year, Author’s calculation
281
Appendix 9: Changes in Monthly Wage, Hours Worked and Hourly Wage by Age Group in South Korea, 2005-2014 (\, hrs)
Monthly wage (\) Weekly hours worked (hrs) Hourly wage (\) Age 30-49 50-59 60-64 65+ 30-49 50-59 60-64 65+ 30-49 50-59 60-64 65+
2005. 8 1,821,000 1,651,000 1,077,000 728,000 47.4 48.1 50.2 46.0 9,316 8,465 5,554 4,118 2006. 8 1,879,000 1,742,000 1,154,000 719,000 46.6 47.7 48.5 43.9 9,704 8,982 6,067 4,428 2007. 3 1,942,000 1,830,000 1,167,000 801,000 46.0 46.6 47.5 44.7 10,193 9,549 6,092 4,492 2007. 8 1,985,000 1,858,000 1,213,000 788,000 46.2 47.0 47.7 43.0 10,323 9,647 6,450 4,603 2008. 3 2,042,000 1,924,000 1,219,000 767,000 45.6 46.0 47.6 42.5 10,749 10,150 6,351 4,558 2008. 8 2,090,000 1,951,000 1,247,000 788,000 45.4 46.2 47.0 41.1 11,046 10,282 6,469 4,917 2009. 3 2,093,000 1,944,000 1,231,000 782,000 44.5 45.3 47.2 39.7 11,193 10,328 6,397 5,057 2009. 8 2,112,000 2,001,000 1,220,000 751,000 44.1 44.9 45.9 38.0 11,388 10,761 6,488 5,070 2010. 3 2,216,000 2,040,000 1,394,000 762,000 43.9 44.6 45.5 37.3 11,986 10,989 7,513 5,212 2010. 8 2,224,000 2,058,000 1,447,000 774,000 43.8 44.6 44.2 36.4 12,049 11,054 8,029 5,270 2011. 3 2,316,000 2,095,000 1,491,000 806,000 43.5 44.1 44.4 37.6 12,627 11,345 8,181 5,459 2011. 8 2,339,000 2,114,000 1,522,000 821,000 43.1 44.0 43.9 35.8 12,845 11,464 8,287 5,778 2012. 3 2,430,000 2,198,000 1,490,000 872,000 42.7 43.6 44.1 36.5 13,470 12,024 8,185 5,756 2012. 8 2,430,000 2,218,000 1,418,000 876,000 42.5 43.4 43.5 35.2 13,481 12,158 7,754 5,835 2013. 3 2,503,000 2,277,000 1,399,000 897,000 42.2 43.2 42.5 35.6 13,927 12,564 7,839 5,970 2013. 8 2,504,000 2,348,000 1,524,000 901,000 42.2 43.1 42.6 34.5 13,934 12,969 8,767 6,111 2014. 3 2,562,000 2,408,000 1,581,000 893,000 42.2 43.1 42.0 33.7 14,284 13,289 9,041 6,230
Source : The National Statistical Office of Korea, Supplementary Results (by Type of Employment) of Economically Active Population Survey [경제활동인구조사 (근로형태별) 부가조사], recited from Nam (2014), pp.15-16
282
Appendix 10: Changes in the Proportion of Older Employees Earning less than 50 % of the Median Wage
50-54 years old 55-59 years old 60-64 years old 15-64 years old
1987 5.69 6.43 6.64 6.64 1988 5.75 7.42 11.89 6.42 1989 7.79 9.51 12.29 6.67 1990 7.1 9.05 12.23 6.63 1991 6.26 8.42 15.58 6.11 1992 4.88 6.0 10.14 4.55 1993 9.18 11.2 19.01 8.45 1994 10.12 12.58 20.14 8.28 1995 9.54 13.19 18.89 7.93 1996 8.45 13.64 20.83 6.81 1997 9.09 14.01 20.26 7.09 1998 10.51 16.24 23.1 7.67 1999 10.98 18.05 22.25 8.3 2000 13.12 21.99 30.92 10.23 2001 13.63 26.08 40.02 10.51 2002 14.7 25.68 42.18 11.27 2003 15.72 24.08 42.33 11.57 2004 15.2 23.3 42.1 11.44 2005 15.97 25.82 43.32 12.18 2006 16.95 28.71 46.48 13.98 2007 17.82 27.38 46.43 15.07 2008 14.27 19.47 27.34 10.13 2009 13.33 18.44 24.72 9.96 2010 13.9 17.34 25.02 10.13 2011 13.96 19.41 27.82 10.48 2012 13.17 17.74 27.9 10.02
Source: Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사] raw data, each year; quoted in Yoo, H-J, Kim, K-H and Oh, B-D, (2014), p. 34.
283
Appendix 11: Methods and Variables Used in Quantitative Analyses
Effects of MW Method Variables
Distribution of wages
Kernel density estimates Log hourly wage minus log minimum wage for each employee aged 55 and older in each year
OLS & Fixed-effects models
● Dependent Variable: 1) The changes in the 10th, 25th, 50th, 75th, and 90th percentiles of log hourly wages among employees aged 55 and older
for each region 2) The changes in ratios between the 90th and 10th, the 90th and 25th, the 90th and 50th, and the 50th and 10th percentiles of
log hourly wages among employees aged 55 and older for each region
● Independent Variable: - The fraction affected, the proportion of employees aged 55 and older who earned less than a new minimum wage in the
previous year to all employees of the same age group for each region - The fraction newly affected, the proportion of employees aged 55 and older who were paid between an old and a new
minimum wage in the previous year to all employees of the same age group for each region
● Control Variable: The changes in the proportion of employees aged 55 and older who are neither self-employed nor engaged in unpaid work to all individuals of the same age group for each region
Employment OLS & Fixed-effects models
● Dependent variable: 1) The changes in the proportion of employees aged 55 and older who are neither self-employed nor engaged in unpaid
work to all individuals of the same age group for each region 2) The changes in the proportion of those aged 55 and older who are neither employed, self-employed, nor engaged in
unpaid work to all individuals of the same age group for each region
● Independent variable:
284
- The fraction affected - The fraction newly affected
Multilevel discrete-time event history model for competing risks
● Dependent variable: Individuals’ transition from being employed to being unemployed or to being in other types of employment
● Independent variable: - Minimum wage application or not * log hourly real minimum wage - Duration spent in being employed (which was centred by variable, year, by which the value, zero indicated the mean of
the duration for each year) - Square of duration
● Control Variable: - Sex - age - Level of education obtained
Distribution of family earnings
Kernel density estimates Log annual family earnings per capita for each older employee’s household minus log 60 per cent of the median annual family earnings per capita for all employees’ households in each year
OLS & Fixed-effects models
● Dependent Variable: - The changes in the 10th, 50th, and 90th percentiles of log annual family earnings per capita among employees aged 55
and older for each region - The changes in ratios between the 90th and 10th and the 50th and 10th percentiles of log annual family earnings per capita
among employees aged 55 and older for each region
● Independent Variable: - The fraction affected - The fraction newly affected
285
● Control Variable: The changes in the proportion of employees aged 55 and older who are neither self-employed nor engaged in unpaid work to all individuals of the same age group by region
Exit from working poor
Multilevel discrete-time event history model for competing risks
● Dependent variable: Individuals’ transition from being poor while being employed to getting out of poverty while staying employed, to being
unemployed, or to being in other types of employment including self-employment or non-wage family business work
● Independent variable: - Minimum wage application or not * log hourly real minimum wage - Duration spent in being working poor (which was centred by variable, year, by which the value, zero indicated the
mean of the duration for each year) - Square of duration
● Control Variable: - Sex - age - Level of education obtained - Householder or not - Number of family members
286
Appendix 12: Adjustments to Minimum Wage Policy and Major Political Economic Developments in South Korea, 1986-2015
Year Adjustments to Minimum Wage Policy Political Economic Developments 1986 The Minimum Wage (MW) Act enacted 1987 MW came into effect, covering only manufacturing 1988 MW extended into mining and construction (10
employees or more)
~ 1998 Korean Financial Crisis (IMF bailout programme)
~ 2000 MW extended into all workplaces with one employees
or more
~ 2003 The credit card lending crisis in Korea Roh, Moo-Hyun Government
- Monetary market liberalisation - Expansion of trade liberalisation
through FTA - Deregulation of Chaebols (Korean
conglomerates) - ‘The subordinate neoliberal approach’
to labour ▪ Wage cut through shortened working
hours ▪ Labour market flexibility ▪ Restriction on civil servant unions ▪ Expansion of non-regular work ▪ Exclusion of labour from the policy
making process
2004 Reduction of statutory weekly working hours
(Firms with 1,000 full-time employees and more; financial and insurance businesses; government- funded organisations)
2005 Income distribution ratio added into the statutory minimum wage fixing criteria
Reduction of statutory weekly working hours (Firms with 300-1,000)
2006 Reduction of statutory weekly working hours (Firms with 100-300)
2007 Introduction of subminimum rate for surveillance or intermittent work (30% less than normal minimum wage rate)
Reduction of statutory weekly working hours (Firms with 50-100)
2008 Subminimum rate for surveillance or intermittent work (20 % less than normal minimum wage rate)
Global Financial Crisis Reduction of statutory weekly working hours (Firms with 20-50)
Lee, Myung-Bak Government - Government-driven, neoliberal
approach to economic policy
287
2009 ▪ Tax relaxation in income, corporate, and real estate
▪ Lowering interest rates & devaluating Korean currency
▪ Relaxation of regulations as regards monopoly and fair trade
▪ Korean New Deal project - Authoritarian neoliberal labour policy
▪ Flexible labour market ▪ Weakening trade unions through
legal changes ▪ Direct job creation & employment
promotion subsidies ▪ Deregulation of employment rules &
flexibility of working hours
2010 2011 Reduction of statutory weekly working hours
(Firms with below 20) 2012 Subminimum rate for surveillance or intermittent
work (10% less than normal minimum wage rate)
2013 2014 2015 Application of normal minimum wage rate to
surveillance or intermittent work
Note: indicates the period which the rates fixed under the Roh government were applied, and indicates the period which the rates fixed under the Lee government were applied.
288
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bibliography/The Effects of the Minimum Wage on.pdf
한국경제학보 제21권 제1호 The Korean Journal of Economics Vol. 21, No. 1(Spring 2014)
The Effects of the Minimum Wage on
Poverty in Korea*
1) Jiwon Seo**․Jinook Jeong***
Abstracts The effects of the minimum wage policy have been controversial
in Korea with an increasing gap between the rich and the poor
since the Asian financial crisis. Most studies in Korea have
focused on the disemployment effects of higher minimum wages
and the negative effects of the policy in Korea. This study looks
at the possible effects of the minimum wage policy on reducing
poverty rates, as measured by the number of people who fall
under the defined poverty threshold. We utilize a binary probit
model to analyze the Korean Labor and Income Panel Study data
and find that a higher hourly minimum wage can reduce the
probability of an individual falling under the poverty line.
KRF Classification : B030400, B030503
Keywords : Minimum Wage, Poverty, Binary Panel Regression
Ⅰ. Introduction
As is reviewed by Kennan (1995), the effects of minimum wages
are multilateral and elusive. Most previous empirical studies on the
* The authors are members of ‘Brain Korea 21’ Research Group of Yonsei
University. This work was supported by the National Research Foundation of
Korea Grant funded by the Korean Government (NRF-2013S1A3A2053586).
** Department of Economics, Washington University, e-mail: [email protected]
*** Corresponding Author, Professor, School of Economics, Yonsei University,
e-mail: [email protected]
84 Jiwon Seo․Jinook Jeong
minimum wage policy have focused on its negative effects such as
the reduction of employment opportunities for young adults or the
reduction of employment benefits and cost of training workers. In
fact, in the United States, it has been shown that high school dropout
rates have increased as a result of a minimum wage hike.1) These
studies have continued since the 1980s and more recent studies
utilizing panel data have corroborated such previous results.
In 2011, the Minimum wage Council of Korea raised the minimum
wage by 5.1 percent to 4,320 won (about $3.9) per hour. Past studies
indicate that raising minimum wages may in fact result in employers
reducing their labor force, either downgrading minimum wage
earners to the informal sector or just forcing them to unemployment.
There have been many studies on the disemployment effects of
raising the minimum wage level in Korea. However, not much
evidence is shown to prove the poverty alleviating effects of the
policy. With a rising “working poor” class, there are greater
implications for policies like the minimum wage law. Immediately
after the 1997 Asian financial crisis, Korea’s poor class expanded to
include many irregular workers and those in private businesses.
Therefore we attempt to analyze the effects of the minimum wage
policy on poverty in Korea and focus on whether it can reduce the
probability of an individual lying under the poverty line.
Ⅱ. Survey of the Literature
The effects of minimum wage policies have been primarily
explained by economic theories based on the Harris-Todaro model. A
minimum wage hike in the formal sector will reduce the labor force
and push the unskilled laborers into the informal market. With a
1) Anderson and Rawe (2009).
The Effects of the Minimum Wage on Poverty in Korea 85
larger labor supply in the informal market, wages will fall. On the
other hand, since expected wages in the formal sector are higher,
workers laid off by the raise in the minimum wage have an incentive
to stay in the formal sector and search for a different job. It also
provides workers in the informal sector with incentives to enter the
formal sector. As a result, unemployment in the formal sector may
rise. Therefore, the overall impact of a minimum wage increase is
ambiguous. According to Addison and Blackburn (1999), “while some
workers gain, others lose, with the benefits of the minimum wage
not being spread out evenly across low-income workers.”
The effects of the minimum wage on the distribution of family
incomes are also uncertain for similar reasons that a minimum wage
hike produces both losers and gainers. In fact, the problem becomes
more complicated when we want to analyze the effects of raising the
minimum wage on family income distribution as opposed to
earnings because other unpredictable factors come into play, as
Addison and Blackburn (1999) suggest. For example, with a rise or
fall in family earnings due to the effects of the wage hike, other
members of the family not affected by the minimum wage may
choose to change their work status, by either leaving their jobs or
finding one, depending on whether the member was previously
working or not working, respectively.
In the United States, dozens of simulation studies have been done
in the 1990’s on the effects of this policy, both including and
disregarding disemployment effects. Most of them have suggested
that minimum wages do reduce poverty. One of the first actual
empirical studies done on this topic was by Card and Krueger (1995).
They did regression analyses with state level data and concluded that
there is “a modest poverty-reducing effect of the minimum wage”
(Card and Krueger). They also claimed that if the demand for labor
in the formal sector is inelastic, wages in both sectors will actually
86 Jiwon Seo․Jinook Jeong
rise. Addison and Blackburn (1999) particularly focused their analysis
on three groups of workers most likely to be low-wage workers:
teenagers (age 16 to 19), young adults (age 20 to 24) and junior-high
dropouts. They found that a 25 percent increase in the minimum
wage lowers the poverty rate of workers in the three groups by 9%.
Despite the positive implications of early studies, there remained a
lot of skepticism with regards to the poverty alleviating effects of
higher minimum wages. For instance, in most developed countries,
minimum wage earners are teenagers, as is the dominant case in the
United States. It has been shown that they tend to be children of
high-income families and not members of poor households. As a
result, raising the minimum wage only increases total income of
high-income households and does little to redistribute income across
households. In addition, it is difficult to enforce minimum wage laws
in the informal sector. However, in developing countries, most of the
lowest-income workers tend to either work in the unregulated and
informal sectors or engage in private family business, and in effect
receiving none of the benefits of a higher minimum wage.
Neumark and Wascher (2002) did a more rigorous empirical study
that captured both the disemployment effect and the income effect of
the minimum wage hike. They showed that over a one-to-two-year
period, raising the minimum wage increases the probability of poor
families escaping poverty. However, the study also showed that the
probability of non-poor families falling into poverty increases as
families that were initially not poor began to receive lesser wages.
Nevertheless, they found that the incomes of families that remain
below the poverty line do rise from raising the minimum wage level.
Additionally, other studies look at the different effects the
minimum wage has on developed and developing countries. The
“World Development Report” of 1995 provides evidence that the
minimum wage policy is ineffective in low-income countries because
The Effects of the Minimum Wage on Poverty in Korea 87
both employers and employees are likely to either ignore or be
unaware of the minimum wage law. However, studies on South
America in recent years including Lustig and McLeod (1996) showed
that in certain areas of South America and Asia, higher minimum
wages have a significant negative correlation with poverty rates; an
increase or decrease in the minimum wage reduces or increases the
poverty rate, respectively. Although minimum wage policies could
reduce efficiency and competitiveness especially in low income
countries, and as Lustig and McLeod (1996) have shown, raise
unemployment by increasing the minimum wage, the overall
conclusion is that in the short run, higher minimum wages do help
the poor. Morely (1995) and Gindling and Terrell (2008) have also
made similar conclusions through data analysis. These results
contrast with earlier studies in developed countries such as the
United States that proved that wage hikes have been ineffective in
protecting the poor class.
In Korea, studies reflecting on the effectiveness of the minimum
wage have only begun to emerge recently, with most of them
focusing on the disemployment effects. One of the first empirical
studies done by Kim and Kim (2004) analyzes data from 1988-2004
and concludes that raising the minimum wage in Korea has had a
positive effect for the following groups of people: age 24-54, age 54
years and older, and women. Similar results have been shown with
different data. Lee et al. (2008) use panel data analysis to show that
the minimum wage has a negative employment effect for teenagers
and old-age workers while it has a positive effect on prime-age
workers (age 25-54).
There are very few studies that address the poverty-alleviating
effects of the minimum wage in Korea. Most of them are simple data
analysis or simulation analysis and they conclude that the poverty-
reduction effects are modest because the level of the minimum wage
88 Jiwon Seo․Jinook Jeong
is too low to affect low-income workers, and there are still too many
low-paying jobs that ignore the minimum wage law. However, Lee
(2009) shows that with a higher level of the minimum wage and
eligible-recipients-to-total-worker ratio, and a smaller disemployment
effect, poverty rates can be lowered.
Ⅲ. Minimum Wages and Poverty in Korea
The issue of rising poverty rates began to surface in Korea after
the Asian financial crisis in 1997 when major structural reforms were
implemented. People were laid off in massive scales after which
more than 57 percent of laborers became ‘non-regular’ or low income
workers.2) With the unexpected rise in the low income workers, the
government began to reinstate and enforce a more effective
minimum wage policy.
Although Korea passed the minimum wage law in 1986, it went
into effect in 1988. In the beginning, the law applied only to workers
in designated industries of certain sizes. In 2001, the law was
expanded to include all workers in all industries. Figure 1 shows the
growth rate of minimum wages in comparison to the growth rate of
the nominal GDP from 1989 to 2010. Although the growth rate of the
minimum wage in 1989 was 29.7%, it gradually decreased through
the 1990’s, reaching 2.7% in 1999. In fact, there are many years in
which the rate of minimum wage increase falls short of the GDP
growth rate. Additionally, even though the growth rate of the
minimum wage has been rising in the 2000’s, the highest rate spikes
were in 2001 and 2005 of 16.6% and 13.1% respectively.
2) ‘Non-regular’ workers refer to the workers on a short-term contract (usually
yearly contract), while ‘regular’ workers are on a longer-term or permanent
contract. Although non-regular workers are full-time workers, their job
security is much more vulnerable than regular workers.
The Effects of the Minimum Wage on Poverty in Korea 89
【Figure 1】Growth Rate of Minimum Wages and GDP (%), 1989-2010
Korea’s minimum wage falls short of the minimum cost of living
that is calculated and readjusted every year by the Ministry of Health
and Welfare. The index was first introduced in 1999 in order to serve
as the basis for social welfare policies and subsidies and has been
released every year in August. In Korea, a national survey of the
living standard of the general public is taken every three years and
the index is calculated on a market basket basis. Approximately
20,000 households in 481 regions are included and the index is
produced by the price levels of goods included in the "basket" that
are considered the absolute necessities of livelihood and they are
weighted by the degree of use. In the two years in which the survey
is not taken, the index is estimated through the increase rate of the
consumer price index.
The minimum living expenses are categorized into six different
levels, each representing the bare minimum needed per household
with one to six members. We present, in Figure 2, only four of the
six levels as compared with the minimum wage that is converted
into a monthly figure. Although the monthly minimum wage is
higher than the minimum living expenses for a household of 1
90 Jiwon Seo․Jinook Jeong
person, it falls short of the amount that is needed for households of
2 or more people.
【Figure 2】Monthly Minimum Wage and Minimum Living Expenses
Note: 1,000 Korean Won, 2000-2011.
Ⅳ. Methodology and Data
We use the Korean Labor & Income Panel Study (KLIPS) that is
annually released by the Korea Labor Institute (KLI). It is an overall
survey of the labor market and the income situation of 5,000
households and individuals in Korea. It is the first domestic panel
study on the labor market and the only longitudinal survey
conducted on the national level. Data have been released since 1998
with11years’ worth of data up to 2009. However, because data for
annual income is not consistent across the board, we have decided to
analyze only data from year 6 (2003) to year 11 (2008).
Our objective is to analyze the effects of the minimum wage policy
on “the poor”, as is defined by the official minimum cost of living,
and to estimate the effects of a minimum wage increase on the
The Effects of the Minimum Wage on Poverty in Korea 91
probability that an individual will be able to escape from poverty.
We employ the following panel probit regression:3)
′ (1)
The variable indicates whether individual at time is
poor or not. It takes on a value of 1 if the individual’s annual
income is less than the minimum cost of living, considered to be
“poor”, and a value of 0 otherwise. is the official hourly
minimum wage that is annually announced by the Minimum Wage
Council.
Although there is no official poverty line in Korea, “absolute
poverty” is usually referred to those living under the level of the
minimum cost of living made official by the government every year.
In our study, we categorize those earning less than the minimum
cost of living for a household of 1,2,3, and 4 as poor ( )
and those that earn above as non-poor ( ) for each year.
contains a set of individual specific variables including age,
age squared, years of schooling, years of schooling squared, and
weekly working hours, in addition to dummy variables that specify
location of residence, sex, health condition. Additionally, is a
macro-level covariate, e.g., growth rate of real GDP included to
control for the economic climate. We use an individual random
effects probit model to estimate the probability of being poor with
respect to the change in minimum wages.
3) The model is similar to the one used by Gindling and Terrell (2008).
92 Jiwon Seo․Jinook Jeong
【Table 1】Descriptive Statistics of Variables
Description Mean
(All Surveyed)
Mean
(Workers Only)
Age 44.99
(0.0856)
41.12
(0.1225)
Age-squared 2153.63
(8.2028)
1788.77
(10.7534)
Sex 1-Male, 0-Female 0.71
(0.0034)
0.71
(0.0056)
Education Years of schooling 11.95
(0.0277)
12.53
(0.0406) Education-
squared
156.37
(0.6240)
167.67
(0.9579)
Location4) 1-Urban, 0-Non urban 0.52
(0.0038)
0.56
(0.0062)
Weekly Working
Hours
49.10
(0.1342)
48.64
(0.1551)
Working 1-Currently working,
0-Otherwise
0.97
(0.0012) -
Health Condition 1-Excellent/Good, 0-Poor 0.61
(0.0037)
0.67
(0.0058)
ln (Minimum
wage) Log of real minimum wage
7.92
(0.0010)
7.92
(0.0010)
GDP growth Growth rate of real GDP (%) 4.2
(0.0081)
4.2
(0.0081)
Full-time 1-Full time, 0-Part time - 0.97
(0.0019)
Regular work 1-Regular, 0-Irregular job - 0.82
(0.0047)
Work status 1-Consistently working,
0-Temporary job/Daily worker -
0.89
(0.0039)
Job type 1-Private company,
0-Public/Government related -
0.89
(0.0039)
Size of
workplace5) 1-Large and Mid-sized firm,
0-Small business -
0.55
(0.0062)
P1 1-Poor, 0-Non poor 0.05
(0.0016)
0.01
(0.0015)
P2 1-Poor, 0-Non poor 0.13
(0.0025)
0.07
(0.0031)
P3 1-Poor, 0-Non poor 0.21
(0.0031)
0.15
(0.0044)
P4 1-Poor, 0-Non poor 0.31
(0.0035)
0.24
(0.0053)
Note: Standard errors are in parentheses.
4) Urban includes the seven major cities of Korea: Seoul, Busan, Daegu, Daejeon,
Incheon, Gwangju, and Ulsan. All other areas were classified as non urban.
5) Companies with 50 or fewer employees are considered small businesses. This
simplified classification is based on that as defined by the Minor Enterprise
Basic Law of Korea.
The Effects of the Minimum Wage on Poverty in Korea 93
Table 1 shows the sample means and standard deviations of the
variables for the entire sample and for the workers sample. We find
that in our analysis, the average age is 45, there are more men in the
sample, the average number of years of schooling is 12, and the
proportion of urban-to-rural dwellers is nearly equal. Also, most of
the population is currently working with an average weekly working
hour of 49. The average age of the ‘workers only’ sample is slightly
lower at 41 and the weekly working hours are slightly less. Most
workers are full-time, regular workers, while the ratio of large-to-
small firm workers is approximately 1:1.
【Table 1-1】Descriptive statistics by year
Year 1 Year 2 Year 3 Year 4 Year 5 Year 6
Age 42.49 43.49 44.49 45.49 46.48 47.49
Age-squared 1932.22 2018.2 2106.22 2195.88 2287.43 2381.47
Sex 0.71 0.71 0.71 0.71 0.71 0.71
Education 11.992 11.97 11.98 12.01 11.90 11.92
Education-squared 156.20 156.10 156.71 157.50 155.50 156.20
Location 0.52 0.52 0.52 0.52 0.52 0.51
Weekly Working
Hours 51.02 50.95 49.07 48.75 48.52 46.29
Working 0.98 0.98 0.98 0.98 0.98 0.94
Health Condition 0.61 0.59 0.58 0.61 0.62 0.62
ln (real MW) 7.73 7.79 7.89 7.95 8.05 8.09
GDP growth 2.9 4.9 3.9 5.2 5.5 2.8
P1 0.0560 0.0462 0.0533 0.0513 0.0451 0.0519
P2 0.1215 0.1212 0.1222 0.1300 0.1273 0.1310
P3 0.2074 0.2155 0.2135 0.2077 0.1952 0.2430
P4 0.3112 0.3248 0.3174 0.3007 0.2936 0.2994
Ⅴ. Empirical Results
Our first analysis included data of 2,946 individuals over the six
year period between 2003 and 2008. Table 2 summarizes the results
94 Jiwon Seo․Jinook Jeong
of our analysis for the effects of a rise in the minimum wage under
different poverty thresholds: P1, P2, P3, and P4. Each defines the
poverty threshold by the monthly minimum cost of living for
families of one, two, three, and four members, respectively, in a
given year.
The estimated coefficients of , which is the variable of
interest, is negative and statistically significant. Therefore, a rise in
the minimum wage will decrease the probability that someone will
be under the poverty threshold. This result is consistent with many
of the previous studies done in other developing countries and is
especially meaningful for the Korean case because it has faced
criticism in recent years for its ineffectiveness. Although the
minimum wage policy has contributed to the rise in wages for low
income workers in the 1980s when it was first introduced, it has been
negatively evaluated for not being effective in alleviating poverty and
raising the living standards for low wage workers since the structural
reforms of the labor market after the financial crisis in 1997.6) The
results of this study show that the higher the minimum wage, the
poverty population tends to decrease. The coefficients are negative
through all four levels of poverty.
Age, sex, weekly working hours, and current health conditions are
all significant at least the 90%confidence level. The coefficients of
these variables are in line with previous studies done with Korean
data.
First, our results show that the older population tends to be
non-poor. Although it is true that Korea boasts the highest elderly
poverty rate, the data that we used did not include a large elderly
population, with the average age of our data being 45, as can be seen
in Table 2. Taking this into consideration, it falls in line with the
results of previous U.S. studies that young adults who make up most
6) For example, Jeong (2006).
The Effects of the Minimum Wage on Poverty in Korea 95
of the labor market will also have the higher probability of falling
into poverty.
【Table 2】Estimated Coefficients of Binary Probit Model with Random
Effects (All Surveyed)
P1 P2 P3 P4
Intercept 9.5830***
(1.5358)
7.6692***
(1.1946)
8.3640***
(1.0889)
15.6508***
(1.0980)
Age -0.1851***
(0.0182)
-0.2007***
(0.0172)
-0.2599***
(0.0185)
-0.2915***
(0.0204)
Age-squared 0.0022***
(0.0002)
0.0025***
(0.0002)
0.0032***
(0.0002)
0.0036***
(0.0002)
Sex -0.7429***
(0.0795)
-1.0291***
(0.0724)
-1.4633***
(0.0771)
-1.7430***
(0.0858)
Education -0.0544
(0.0336)
-0.0546
(0.0341)
-0.0486
(0.0372)
-0.0676
(0.0445)
Education-
squared
-0.0018
(0.0016)
-0.0031**
(0.0016)
-0.0050***
(0.0017)
-0.0064***
(0.0020)
Location -0.0343
(0.0719)
-0.0422
(0.0639)
-0.0155
(0.0650)
-0.0552
(0.0683)
Weekly Working
Hours
-0.0138***
(0.0017)
-0.0152***
(0.0014)
-0.0118***
(0.0013)
-0.0093***
(0.0013)
Working 0.3430***
(0.1319)
0.4237***
(0.1083)
0.4244***
(0.1059)
0.2303*
(0.1085)
Health Condition -0.0562
(0.0562)
-0.1233***
(0.0431)
-0.1892***
(0.0394)
-0.1456***
(0.0383)
ln (MW) -0.8533***
(0.1925)
-0.4937***
(0.1493)
-0.2839**
(0.1354)
-1.0115***
(0.1348)
GDP growth -0.0369*
(0.0221)
0.0116
(0.0168)
-0.0646***
(0.0151)
0.0146
(0.0147)
Note: *** signifies significance at the 1% level; ** signifies significance at the
5% level; and * signifies significance at the 10% level. Standard errors
are indicated in parentheses.
Second, our variable for sex had a mean value of 0.71 indicating
that more men were included in the study. We also show that men
have a smaller probability than women of being poor. This is also
consistent with the concept of ‘feminization of poverty’ which was
introduced in the 1980s in the United States to explain the
phenomenon of the majority of the poverty class being women.
96 Jiwon Seo․Jinook Jeong
Although the proportion of female workers in Korea has drastically
increased in recent years, the labor market is still discriminatory
against women in terms of wage inequality. In 2004, the average
monthly wage of women was 63.15% that of men (Shin, 2007).
Therefore, the economic status of women has not improved and has
actually led more women to fall into poverty
Third, although statistically insignificant, we find that a person
with more years of schooling will less likely fall into poverty. Higher
education leads to better chances of receiving higher wages,
improving one’s chances of becoming poor. We also show that with
more weekly working hours and better health conditions, a person
will more likely be above the poverty line.
【Table 3】Marginal Effects of Binary Probit Model with Random Effects
(All Surveyed)
P1 P2 P3 P4
Age -0.0016***
(0.0003)
-0.0082***
(0.0010)
-0.0266***
(0.0024)
-0.0612***
(0.0049)
Age-squared 1.93e-05***
(0.0000)
0.0001***
(1.0e-05)
0.0003***
(3.0e-05)
0.0007***
(0.0001)
Sex -0.0112***
(0.0023)
-0.0726***
(0.0085)
-0.2506***
(0.0193)
-0.4898***
(0.0271)
Education -0.0005
(0.0003)
-0.0022
(0.0014)
-0.0050
(0.0039)
-0.0142
(0.0095)
Education-
squared
-1.54e-05
(1.0e-05)
-0.0001*
(0.0001)
-0.0005***
(0.0002)
-0.0013***
(0.0004)
Location -0.0003
(0.0006)
-0.0017
(0.0026)
-0.0016
(0.0067)
-0.0116
(0.0144)
Weekly Working
Hours
-0.0001***
(0.0000)
-0.0006***
(0.0001)
-0.0012***
(0.0002)
-0.0019***
(0.0175)
Working 0.0020***
(0.0006)
0.0115***
(0.0021)
0.0311***
(0.0056)
0.0425**
(0.0175)
Health Condition -0.0005
(0.0005)
-0.0052***
(0.0020)
-0.0200***
(0.0045)
-0.0311***
(0.0085)
ln (real MW) -0.0075***
(0.0022)
-0.0203***
(0.0064)
-0.0290**
(0.0139)
-0.2124***
(0.0294)
GDP growth -0.0003
(0.0002)
0.0005
(0.0007)
-0.0066***
(0.0016)
0.0031
(0.0031)
Note: *** signifies significance at the 1% level; ** signifies significance at the
5% level; and * signifies significance at the 10% level. Standard errors
are indicated in parentheses.
The Effects of the Minimum Wage on Poverty in Korea 97
As the estimated model is a binary regression, the value of the
estimated coefficient does not directly reflect the marginal effect of
the explanatory variable on the dependent variable. Table 3 shows
the estimated marginal effects for a comparison.
We extricate workers from the entire sample population and
include several factors that are exclusive to only workers: whether
they work full time or part time, regular work or non-regular work,
in a large-to-medium-sized firm or a small firm, and what their
working status and type of work is. We find that the overall results
are not so different from the previous results that include
non-workers.7) We replicate the analysis, using the same model, for
1,102 workers over the six year period with the same poverty
thresholds for P1 through P4. The results are shown in Table 4
below.
We note that the effects of a rise in the minimum wage are smaller
for workers. We find that the minimum wage has a positive effect on
the level of poverty and at a slightly smaller scale than that in the
analysis that included both workers and non-workers. While a 10%
increase of the minimum wage reduces the probability of a person in
the labor force to be poor by 0.075 from Table 3, the coefficients from
Table 4 indicate that the same impact will reduce the probability for
workers to be poor by 0.023.
Age and sex move in the opposite direction of the poverty rate, as
was the case with workers and non-workers, and education remains
an insignificant variable in the analysis. The new variables that were
introduced into our second analysis produced the following results:
full time and regular workers tend to have a lower probability of
falling into poverty as opposed to part time and non-regular
7) Whether to work or not could be an endogenous decision, if the probability
of working is influenced by being poor. If it is, the estimation of workers data
may suffer from the selectivity bias. With such a possibility in mind, we
present the results for comparison purpose.
98 Jiwon Seo․Jinook Jeong
【Table 4】Estimated Results of the Random Effects Binary Probit
Model (Workers Only)
P1 P2 P3 P4
Coefficient Marginal
Effect Coefficient
Marginal
Effect Coefficient
Marginal
Effect Coefficient
Marginal
Effect
Intercept 25.4258***
(4.5977) -
18.7764***
(2.7194) -
22.5946***
(2.3803) -
26.8838***
(2.2625) -
Age -0.1239***
(0.0425)
-0.0001
(0.0001)
-0.2410***
(0.0378)
-0.0013***
(0.0005)
-0.3182***
(0.0408)
-0.0057***
(0.0016)
-0.3301***
(0.0416)
-0.0241***
(0.0045)
Age-
squared
0.0013***
(0.0005)
1.04e-06
(0.0000)
0.0031***
(0.0004)
1.61e-05***
(1.0e-05)
0.0041***
(0.0005)
0.0001***
(2.0e-05)
0.0041***
(0.0005)
0.0003***
(0.0001)
Sex -0.6137***
(0.1770)
-0.0009
(0.0007)
-1.1295***
(0.1482)
-0.0154***
(0.0051)
-1.9612***
(0.1684)
-0.1336***
(0.0248)
-2.3032***
(0.1635)
-0.4074***
(0.0446)
Education -0.0437
(0.0932)
-3.46e-05
(0.0001)
-0.0926
(0.0802)
-0.0005
(0.0005)
-0.2332**
(0.0962)
-0.0042*
(0.0022)
-0.2598**
(0.1039)
-0.0190**
(0.0084)
Education-
squared
-0.0002
(0.0041)
-1.34e-07
(0.0000)
-0.0005
(0.0037)
-2.47e-06
(2.0e-05)
0.0024
(0.0042)
4.31e-05
(0.0001)
0.0008
(0.0045)
0.0001
(0.0003)
Location 0.1934
(0.1626)
0.0002
(0.0002)
0.2916**
(0.1323)
0.0015*
(0.0009)
0.1509
(0.1364)
0.0027
(0.0025)
0.0604
(0.1289)
0.0044
(0.0093)
Weekly
Working
Hours
-0.0131***
(0.0051)
-1.03e-05
(1.0e-05)
-0.0116***
(0.0036)
-0.0001**
(3.0e-05)
-0.0036
(0.0032)
-0.0001
(0.0001)
0.0043
(0.0031)
0.0003
(0.0002)
Full-time -0.7787***
(0.2384)
-0.0026
(0.0028)
-0.6169***
(0.2136)
-0.0081
(0.0063)
-0.4348**
(0.2182)
-0.0133
(0.0112)
-0.6818***
(0.2625)
-0.0878
(0.0536)
Regular -0.6498***
(0.2030)
-0.0012
(0.0011)
-0.5405***
(0.1296)
-0.0051*
(0.0027)
-0.3889***
(0.1225)
-0.0098*
(0.0051)
-0.4221***
(0.1197)
-0.0398
(0.0155)
Health
condition
-0.0188
(0.1417)
-1.51e-05
(0.0001)
-0.1258
(0.0904)
-0.0007
(0.0006)
-0.1826***
(0.0782)
-0.0036*
(0.0019)
-0.0900
(0.0737)
-0.0068
(0.0059)
Work
Status
-0.1944
(0.2141)
-0.0002
(0.0003)
-0.1856
(0.1557)
-0.0012
(0.0014)
-0.2209
(0.1556)
-0.0049
(0.0045)
-0.2916*
(0.1557)
-0.0262
(0.0174)
Job type 0.0254
(0.2518)
1.94e-05
(0.0002)
0.2648
(0.1933)
0.0011
(0.0007)
0.2078
(0.1721)
0.0031
(0.0023)
0.2343
(0.1607)
0.0145*
(0.0088)
Size of
Workplace
-0.2693*
(0.1504)
-0.0002
(0.0002)
-0.2675**
(0.1058)
-0.0015*
(0.0009)
-0.2853***
(0.0305)
-0.0054**
(0.0025)
-0.6537***
(0.0936)
-0.0525***
(0.0113)
ln (MW) -2.8418***
(0.5793)
-0.0023
(0.0019)
-1.7094***
(0.3367)
-0.0090**
(0.0039)
-1.7612***
(0.2869)
-0.0318***
(0.0099)
-2.0927***
(0.2699)
-0.1527***
(0.0301)
GDP
Growth
-0.1345**
(0.0634)
-0.0001
(0.0001)
-0.0259
(0.0370)
-0.0001
(0.0002)
-0.0707**
(0.0305)
-0.0013*
(0.0007)
0.0109
(0.0282)
0.0008
(0.0021)
Note: *** signifies significance at the 1% level; ** signifies significance at the
5% level; and * signifies significance at the 10% level. Standard errors
are indicated in parentheses.
workers, respectively. Although full time workers can also receive
low wages, their work tends to be more stable and their total work
hours tend to far exceed that of part time workers. Also, non-regular
The Effects of the Minimum Wage on Poverty in Korea 99
workers normally receive lower wages and do not get any of the
employment benefits that are reserved for regular workers.
The size variable controls for the differences in the size of the firm
in which the workers work by categorizing the workplace according
to the number of employees: a large-to-medium sized firm of 50 or
more workers and a small sized firm of less than 50 workers. This
variable becomes more and more significant as the poverty threshold
is raised and the estimated coefficient indicates that the larger the
firm, the less likely the worker will be under the poverty line.
Ⅵ. Conclusion
The economics of the minimum wage policy has been a
controversial question internationally since its inception. In Korea, the
issue has received the spotlight with the rise of the poor population
and the increasing gap between the rich and the poor since the Asian
financial crisis. Even though there are a lot of studies already done
on the effects of the policy, there have been difficulties in coming to
an agreement about the orientation of that effect.
Most studies in Korea have focused on the disemployment effects
of higher minimum wages, arguing that income tends to fall in the
informal sector because workers are laid off in the formal sector
increasing the flow of labor into the informal sector. They claim that
those who actually are in need of the benefits of the policy could end
up receiving lower wages. As such, the studies so far have focused
on the negative effects of the policy in Korea.
This study looks at the possible effects of the minimum wage
policy on reducing poverty rates, as measured by the number of
people who fall under the defined poverty threshold. We utilize the
Korean Labor and Income Panel Study data to analyze this effect and
100 Jiwon Seo․Jinook Jeong
find that older generations, the more educated, and men tend to be
less poor than their counterparts while those with poor health
conditions and less weekly working hours tend to be poor. When we
analyze the data of workers only we find that full time and regular
workers tend to be above the poverty line while those working in
large-to-medium sized firms tend to not fall into poverty as easily as
those who work in small firms. However, most importantly, we find
that under both cases (of the entire sample population and of only
workers) the higher the hourly minimum wage, the smaller the
probability of falling under the poverty line. This result is
contradictory to the results of many studies done in developed
countries where there is usually a negative effect or only a very
modest positive effect while it is consistent with those done in
developing countries. The results of our analysis show that the
minimum wage policy can indeed be used as an effective policy to
target the alleviation of poverty and decrease the poverty rate in
Korea.
Received: February 28, 2014. Revised: June 9, 2014. Accepted: June 19, 2014.
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The Effects of the Minimum Wage on Poverty in Korea 103
최저임금제가 빈곤에 미치는 영향
서 지 원*․정 진 욱**
8)
논문초록
아시아 외환위기 이후 한국의 빈부 격차가 심해지면서, 최저임금제도의 효
과와 관련한 연구가 많이 이루어졌다. 대부분의 연구는 최저임금제의 부정적
효과인 실업의 발생에 집중되었다. 이 연구는 최저임금제가 빈곤층을 줄이는
효과가 있는지를 분석한다. 2003-2008 기간의 한국노동연구원 패널자료
(KLIPS)를 임의효과 패널 프로빗 모형으로 추정한 결과, 한국의 최저임금제
는 빈곤층이 될 확률을 낮추는 효과가 있었던 것으로 실증되었다.
주제분류: B030400, B030503
핵심 주제어: 최저임금, 빈곤, 패널 프로빗분석
* Department of Economics, Washington University, e-mail: [email protected]
** 교신저자, 연세대학교 경제학과 교수, e-mail: [email protected]
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bibliography/Effects of Minimum Wage Increase on Employment in SMEs in Korea.pdf
Undergraduate Economic Review Undergraduate Economic Review
Volume 16 Issue 1 Article 25
2019
Effects of Minimum Wage Increase on Employment in Small and Effects of Minimum Wage Increase on Employment in Small and Medium-sized Enterprises in Korea Medium-sized Enterprises in Korea
Hyunah Kim University of California, Berkeley, [email protected]
Follow this and additional works at: https://digitalcommons.iwu.edu/uer
Part of the Labor Economics Commons
Recommended Citation Kim, Hyunah (2019) "Effects of Minimum Wage Increase on Employment in Small and Medium-sized Enterprises in Korea," Undergraduate Economic Review: Vol. 16 : Iss. 1 , Article 25. Available at: https://digitalcommons.iwu.edu/uer/vol16/iss1/25
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Effects of Minimum Wage Increase on Employment in Small and Medium-sized Effects of Minimum Wage Increase on Employment in Small and Medium-sized Enterprises in Korea Enterprises in Korea
Abstract Abstract In Korea, where SMEs dominantly provide most of the jobs in labor market, how SMEs respond to an increase in the minimum wage in terms of employment can be a critical factor of job provision in Korean labor market. This paper mainly examines the effect of the minimum wage increase on employment in SMEs in Korea by using a difference-in-differences methodology, and finds that raising the minimum wage has on average significantly reduced total employment in all sizes of SMEs relative to large enterprises. The finding in this paper suggests that raising the minimum wage rate may incur loss of jobs in Korean labor market.
Keywords Keywords minimum wages, SMEs, employment effects, labor economics
Cover Page Footnote Cover Page Footnote Acknowledgements: I would like to thank Professor Frederico Finan for his invaluable assistance and guidance throughout the research and writing process. I would also like to thank my previous GSI, Stephanie Bonds, for encouraging me to move forward with thesis.
This article is available in Undergraduate Economic Review: https://digitalcommons.iwu.edu/uer/vol16/iss1/25
TABLE OF CONTENTS
1. Introduction 2. Literature Review 3. Overview of Employment in Korea 4. Data 5. Model and Results
Effects of raising the minimum wage
5.1 On employment in SMEs: permanent employment, temporary employment, total employment
5.2 On hourly wages of employees in SMEs 5.3 On total working hours of employees in SMEs 5.4 On employment in SMEs by different industries 5.5 Limitations 5.6 Policy Implications
6. Conclusion
1
Kim: Effects of Minimum Wage Increase on Employment in SMEs in Korea
Published by Digital Commons @ IWU, 2019
1. INTRODUCTION
Unlike the United States and many other countries, Korea has a single national
statutory minimum wage that changes annually1 and applies to all the regions in
Korea at the time of enforcement. In 2017, President Moon announced an increase
in the Korean minimum wage from 6,470 won (Korean currency) per hour to 7,530
won per hour by 16.38%; this increase was found to be the biggest hike in the
minimum wage in Korea in nearly the last two decades. Along with this
announcement, President Moon has vowed to increase the minimum wage up to
10,000 won by 2020. Whether or not raising the minimum wage will reduce
employment has been controversial amongst researchers across nations, but, in the
case of Korea, where raising the minimum wage is more of a custom that continues
every year, the impact of the minimum wage on employment is considered more
critical. If its effect on employment is found to be negative, it is important for Korea
to consider whether to continue raising the minimum wage as their annual custom.
Another unfamiliar aspect of the Korean labor market to address is that when
many countries have small and medium-sized enterprises (SMEs)2 as the largest
share of their business sectors3 , SMEs in Korea do not only take up the largest
proportion of enterprise sectors but are also the largest job providers in Korean labor
market (Figure 1). Figure 1 compares the share of employment by enterprise size
in OECD countries. In the case of Korea, the largest firm size (250+) in this figure
still includes a share of SMEs since SMEs are up to the size of less than 300
employees in Korea. Yet the share of all other enterprises in the size of up to 249
employees in employment is found to be dominating for Korea; this proportion of
employment by enterprise size in Korea is outstanding and contrasting to all other
countries except for Greece.
With SMEs as major job providers in Korea, looking into how raising the
minimum wage impacts employment in SMEs is important in terms of SME’s
impact on the Korean labor market and the overall economy. However, though the
effect of the minimum wage policy on employment and other factors in Korean
labor market has been studied in several much literature, which will be discussed
later in the next section, this literature have not particularly and adequately
discussed the relationship between the minimum wage and employment in SMEs
1 Changes in minimum wage rates from 2009 to 2019 are found in Appendix (A1). 2 In Korea, small and medium enterprises (SMEs) are defined to be enterprises with less than 300
employees. 3 The typical trend in the proportion of enterprises by size in other countries is presented in Appendix (A2).
2
Undergraduate Economic Review, Vol. 16 [2019], Iss. 1, Art. 25
https://digitalcommons.iwu.edu/uer/vol16/iss1/25
in Korea. So, this paper specifically examines its effect on the employment in SMEs.
Apart from this main question, two other questions are also explored in this paper.
These are the three main questions that I would like to explore throughout the
paper:
(1) Does raising the minimum wage reduce employment in SMEs? Does it have differential effects on different types of employment? What about
on employees’ working hours and wages in SMEs?
(2) Given that we only look at the employment in SMEs, does raising the minimum wage have differential effects on employment in different
industries?
(3) How does the non-compliance rate change from 2017 to 2018?
For questions (1) and (2), I will use a difference-in-differences methodology
to measure the impact of the minimum wage increase on the aforementioned
outcomes of interest. For question (3), I will not include the noncompliance rate in
the regression due to lacking observations with only 24 monthly values but I will
examine how the non-compliance rate has changed from 2017 to 2018 when
exploring the data in Section 4.
The main findings are that raising the minimum wage has on average reduced
total employment in all sizes of SMEs. The minimum wage increase has on average
increased hourly wages of permanent and temporary employees in the smallest
SMEs when negative effects are shown for total working hours of permanent
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Figure 1. Employment by enterprise size, business economy
Percentage of all persons employed, 2014, or latest available year
1-9 10-19 20-49 50-249 250+
Source: OECD (2017), “Entrepreneurship at a Glance 2017”
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Kim: Effects of Minimum Wage Increase on Employment in SMEs in Korea
Published by Digital Commons @ IWU, 2019
employees in the smallest SMEs and of temporary employees in SMEs in the size
of 5-9 employees. In terms of the effects on employment in different industries, not
much differential effect is found in terms of total employment, but the minimum
wage increase has on average increased total and permanent employment in SMEs
in Accommodation & food service industry. As for the noncompliance rate, it only
gets remarkably high in the beginning of 2018 but flattens out eventually, similar
to the pattern in 2017.
As noted in Table of Contents, the rest of the paper explores the following:
Section 2 discusses a number of literatures that are most relevant to the topic of the
minimum wage rate; Section 3 briefly explores employment in Korea; Section 4
presents the type of data and explores descriptive statistics and other figures prior
to the regression models; Section 5 is divided into six different parts:
5.1 Effects of raising the minimum wage on employment in SMEs: permanent employment, temporary employment, total employment
5.2 Effects of raising the minimum wage on hourly wages in SMEs: hourly wages for permanent and temporary employees
5.3 Effects of raising the minimum wage on working hours in SMEs: total working hours for permanent and temporary employees
5.4 Effects of raising the minimum wage on employment in SMEs by different industries
5.5 Limitations 5.6 Policy Implications
Sections 5.1 to 5.4 present a method, a regression model, the summary of results
and interpretation on the results for each of the topics covered; Section 5.5 discusses
the limitations in this paper; Section 5.6 suggests policy implications based on the
results; lastly, Section 6 gives the conclusion.
2. LITERATURE REVIEW
With the high incidence of low wages in the Korean labor market compared to the
levels seen in OECD countries, several protective policies have been set to help
reduce the incidence of low pay and protect the low-pay workers; a minimum wage
is one of them. Arguments over the minimum wage effects on employment in the
Korean labor market vary a lot: some literatures found the negative effects of the
minimum wage increase on employment (Yeongmin Kim 2014, Seongil Nam 2008,
Daeil Kim 2012, Dong Ug Kang 2010) when some found positive or no effects on
employment (Byeongchan Lee 2008, Sikyun Lee 2007, Yu-seon Kim et al 2004,
Yu-seon Kim 2014, Baek and Park 2016).
Another part to note is that Baek and Park (2016) used data from late 1980s
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and early 1990s, but the impact of raising the minimum wage on employment in
SMEs in 2018 could be different from the early 1990s. This is because Korea has
experienced drastic economic transformations in the last few decades4, and so with
these changes, the economic conditions in the late 1980s and early 1990s are
considered totally different from the current conditions. Along with economic
growth, labor market conditions as well as the trends of employment in Korea have
changed as well. So, the minimum wage effect could turn differently in current
conditions.
Since the purpose of setting up the minimum wage or increasing the minimum
wage is to protect low-pay workers and guarantee the minimum standard of living
for these workers, many literatures on the Korean labor market focus on how raising
the minimum wage affects low-pay workers in Korea or a group of populations
holding the characteristics of “low-pay” workers (Yu-seon Kim 2004, Daeil Kim
2012, Sikyun Lee 2007, Hwang and Lee 2012) to evaluate whether the minimum
wage increase has worked for low-pay workers (Byeongchan Lee 2008), but no
literature specifically looks into how raising the minimum wage would impact
employment in SMEs in Korea when they are the largest job provider across the
nation.
Increasing the minimum wage raises wages of low-pay workers but it also
significantly reduces firm’s profitability. Draca et al (2011) examines the impact of
the minimum wage on firm profitability by looking into the changes induced by the
introduction of a UK national minimum wage in 1999. They show that introducing
the minimum wage significantly increased the wages and significantly reduced the
firm profitability. However, they find no effects on firm employment or
productivity. If to solely take into account the result of this paper, the prediction
over the impact of raising the minimum wage on employment would be as follows:
though firm profitability could significantly decline after implementing the
minimum wage, the implementation of the minimum wage would not affect
employment in SMEs. However, what I believe could change this predicted result
is that, in the case of SMEs – especially the smallest enterprises in the size of 1-5
employees – may face shutdown price more quickly than larger ones with relatively
lower profits and may have to exit the market when profitability is largely affected,
which will also lead to a reduction in the employment rate. The result in Nam (2017)
supports this argument to some extent: Nam (2017) found out that fixed personnel
expenses are one of the cost factors that have significant effects on shutdown rate
of self-employed businesses5.
4 Growth in GDP per capita in Korea as an indicator of economic growth, is presented in
Appendix (A3). 5 I found self-employed businesses relevant to SMEs for SMEs in Korea include a big portion of
self-employed enterprises with the number of employees starting from 1.
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Kim: Effects of Minimum Wage Increase on Employment in SMEs in Korea
Published by Digital Commons @ IWU, 2019
In terms of measuring the effects of the policy implemented, it is not only
important to pick the right strategy and data to carry out measuring the effect of the
policy but is also important to see whether or not the targeted market complies well
with the enacted policy. Relating this market compliance with the minimum wage
effect, Hwang and Lee (2012) found a significant role that non-compliance rate
plays in measuring the effect of the minimum wage when they examined the
minimum wage effect on the incidence of low pay in Korea in their paper. Using a
one-way fixed effects panel regression (controlling only for industry) in three
different periods (1989-1992, 1993-2001, and 2002-2008), Hwang and Lee use a
model that includes the Kaitz index and non-compliance rates by industry. Their
results show that though the Kaitz index significantly decreased low-pay incidence
in the first and second periods (1989-92, 1993-2001), the rate of non-compliance
significantly increased low-pay incidence in the second and third periods (1993-
2001, 2003-2008). They conclude that the effect of the minimum wage has not
“materialized” due to soaring non-compliance rates and low benefit levels, and
suggested this as a possible explanation for why raising the minimum wage failed
to make even a moderate impact on low-pay incidence. Consistent with their
finding, the following figure (Figure 2) from OECD implies that Korea has the
highest non-compliance rate among other countries in 2010. Though the dependent variable that OECD used is different from what is used as a dependent variable in
this paper (which is the employment rate in small and medium enterprises (SMEs)),
this literature importantly addresses the significance of taking into account an
increasing trend of non-compliance rate in the Korean labor market which is a
barrier to measure the “true” effect of the minimum wage on the employment in
0
10
20
30
40
50
60
70
80
0
5
10
15
20
Figure 2. Proportion of workers earning at or below
the minimum wage, 2010 (or as stated)
% of workers earning at or below the minimum Minimum-wage level, % of median (right scale)
Results from cross-country earnings data Results from national data sources
%
Source: OECD (2015), “Minimum Wages After the Crisis: Making them Pay”
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SMEs; if most of SMEs in Korea do not comply with the minimum wage enactment,
it would be a policy failure and a labor market failure as Hwang and Lee mentioned.
Such a high non-compliance rate in Korea supports “imperfect enforcement of
the minimum wage (Danziger 2010)” to some extent. Danziger (2010) examines
the consequences of introducing a minimum wage rate in a competitive low-pay
labor market theoretically and proposes a new model to demonstrate that an
imperfectly enforced minimum-wage causes small firms to face an upward-sloping
labor supply schedule, leading these small firms to become endogenous
monopsonists. He argues that this will then cause the minimum wage rate to have
negative impact on employment in small firms as well as what these firms offer
their workers: the employment in the small firms will reduce and employed workers
in the small firms will become worse off. His paper does not deal with the empirical
evidence but the theoretical proposition and proof to demonstrate the negative effect
of the minimum wage under monopsony. Briefly bringing the important points
related with how raising the minimum wage would impact employment in SMEs in
Korea, his model proposes that the firm will pay a subminimum wage rate if the
expected labor cost – expectation of getting caught by inspection and paying both
the back wages and awards and fines – is less than the minimum wage rate, and the
smaller the firm, the lower is the expected labor cost and the more likely it is for
them to pay less than the minimum wage rate. This proposition is consistent with
what Hwang and Lee (2012) empirically found in their paper (increasing non-
compliance rate with the minimum wage) as well as the characteristics of Korean
economic structure where SMEs are the largest providers of jobs. Based on the
results and arguments of these two papers, raising the minimum wage is predicted
to reduce employment in SMEs and could negatively impact the overall
employment in Korea with SMEs as the largest job providers.
3. EMPLOYMENT IN KOREA
To briefly introduce employment background in Korea, this section presents the
overall structure of employment in terms of employment types, and the share of
SMEs in each employment type.
In Korea, the share of permanent employees is dominantly the largest among
all the employment types. This is shown in Figure 3 on the next page. It describes
how the shares of permanent employees6, temporary (and daily) employees7, and
6 Permanent employees are defined as all employees whose contracts last for one year or more, or
employees with no fixed contract periods; they are paid by establishments (Source: South Korea
Ministry of Labour, CEIC Global Database). 7 Temporary and daily employees are the employees who are hired for less than one year or on a
daily-allowance basis. (Source: South Korea Ministry of Labour, CEIC Global Database)
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Kim: Effects of Minimum Wage Increase on Employment in SMEs in Korea
Published by Digital Commons @ IWU, 2019
other employees8 in total employment in Korea have changed in the last eight years.
In a consistent manner, the proportion of permanent employees has notably taken
up the largest proportion of employment in Korean labor market for the last eight
years and its proportion even slightly increased from 2014 onwards. So, among all
different employment types, this implies the most significance of minimum wages
on permanent employment.
Looking closely into each employment type in terms of firm size, the
following figures (Figure 4.1, 4.2, 4.3) uniformly show that SMEs are the major
source of providing jobs for all employment types, which adds significance to
finding out how employment level in SMEs responds to an increase in minimum
wages in the Korean labor market.
8 Other employees are the employees with no fixed amount of payment but only service charge or
commission in proportion to his/her sales records. (Source: South Korea Ministry of Labour, CEIC
Global Database) Other employees are not reported in the dataset and so are excluded from
employment type in this paper.
0%
20%
40%
60%
80%
100%
0 1 /2
0 1 0
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Figure 3. Share of Employment in Korea
Permanent Employees Temporary & Daily Employees Other Employees
Source: South Korea Ministry of Labour, CEIC Global Database
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0
2000 000
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N u m
b er
o f
em p
lo y ee
s
Figure 4.1 Permanent Employees
by enterprise size
300 and Above
Less than 300
0
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0 1 /2
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0 1 6 <