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Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 168–175

Contents lists available at ScienceDirect

Advances in Accounting, incorporating Advances in International Accounting

journal homepage: www.elsevier.com/locate/adiac

Determinants of corporate social disclosure: Empirical evidence from Bangladesh

Mohammad Badrul Muttakin ⁎, Arifur Khan 1

School of Accounting, Economics and Finance, Deakin University, 221 Burwood Highway, Victoria 3125, Australia

⁎ Corresponding author. Tel.: +61 03 92517826. E-mail addresses: [email protected] (M.B. M

[email protected] (A. Khan). 1 Tel.: +61 03 92446857.

http://dx.doi.org/10.1016/j.adiac.2014.03.005 0882-6110/© 2014 Elsevier Ltd. All rights reserved.

a b s t r a c t

a r t i c l e i n f o

Available online 27 March 2014

Keywords: Corporate social disclosure Legitimacy theory Bangladesh

We explore the potential firm and industry characteristics that determine the corporate social responsibility (CSR) disclosure practises by Bangladeshi listed firms. We use a CSR disclosure checklist to measure the extent of CSR disclosure in the annual reports and a multiple regression analysis to examine the determinants of CSR dis- closure. Our study finds that CSR disclosure has positive and significant relationships with export-oriented sector, firm size and types of industries. We also find a negative relationship between CSR disclosure and family owner- ship. The overall findings of our study provide empirical evidence which suggests that a number of firm and in- dustry characteristics are important determinants of the extent of CSR disclosures in a developing country like Bangladesh. Our findings can help the policy makers to adopt necessary regulatory reform to improve the CSR practises and enhance organisational legitimacy.

© 2014 Elsevier Ltd. All rights reserved.

1. Introduction

Over the last few decades people have become more aware about the impact of business in society. In particular, there has been a growing awareness about some social issues, such as pollution, waste, resource de- pletion, product quality and safety, and rights and status of workers (Deegan & Gordon, 1996; Gray, Kouhy, & Lavers, 1995; Hooghiemstra, 2000; Kolk, 2003). Many of the businesses which are better performers in terms of economic performance measures have been criticised for worse social performance. As public concern over social issues has been increasing, business organisations have been facing challenges to give more considerations on social issues. A growing number of companies from different industries have started to give importance to social issues while developing their business strategies (Dentchev, 2004; Hillman & Keim, 2001; McWilliams & Siegel, 2000). In recent years, however, it has become apparent that social policies, procedures, and strategies as such may not be adequate. Pressure on companies to disseminate infor- mation to the stakeholders about the impact of their activities in society is intensifying. Therefore, it is no surprise that the issue of CSR disclosures has become increasingly prominent in the area of disclosure literature.

2 See, for example, Ernst and Ernst (1978), Teoh and Thong (1984), Andrew et al. (1989), Guthrie and Parker (1990), Harte and Owen (1991), Adams, Coutts, and Harte

2. Prior research

Much of prior literature on CSR disclosures has been conducted in the context of developed countries such as the USA (Ernst & Ernst,

uttakin),

1978); Australia (Deegan & Rankin, 1996; Guthrie & Parker, 1989); and Western Europe (Adams, Hills, & Roberts, 1998; Ray, 1980). The findings of this study suggest that there is an increased awareness about CSR disclosures among different countries. A limited number of studies have also been done in developing economy settings (Andrew, Gul, Guthrie, & Teoh, 1989; Belal, 2001; Kuasirikun & Sherer, 2004; Sing & Ahuja, 1983). Studies have shown that despite an awareness and concern for business to be socially and environmentally responsi- ble, businesses in these countries have been slower in responding to the CSR agenda.

With regard to the research on CSR disclosures most of prior studies are of qualitative nature and focus on areas such as nature and content of CSR disclosures and the motivational factors of companies to make CSR disclosures.2 A few prior studies investigate the determinants of CSR disclosures as well. However, all of these studies were carried out either in the developed countries or in newly industrialised countries.3

Our study aims to add to this research strand by investigating the deter- minants of CSR disclosures using data from listed non-financial compa- nies in Bangladesh during the period of 2005–2009.

This paper is focused on the Bangladeshi setting for two reasons. First most of the previous studies are based on developed countries (Cormier & Magnan, 2003; Gamerschlag, Moller, & Verbeeten, 2011;

(1995), Deegan and Gordon (1996), Newson and Deegan (2002), Guthrie and Parker (1989), Patten (1992), Roberts (1992), Donaldson and Preston (1995), Deegan and Gor- don (1996), Deegan and Rankin (1997), Adams et al. (1998), and Neu, Warsame, and Pedwell (1998).

3 See, for example, Haniffa and Cooke (2005) in Malaysia and Reverte (2009) in Spain.

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Reverte, 2009) and the evidence should be added from a developing country context which has different institutional settings to compare results with the previous studies.4 For example, prior studies suggest the presence of family dominance in Bangladesh (Farooque, Zijl, Dunstan, & Karim, 2007; Sobhan & Werner, 2003). A survey conduct- ed by Sobhan and Werner (2003) found that an overwhelming majority (73%) of the boards of non-bank listed companies were heavily dominated by sponsor shareholders. This is consistent with other studies such as Reaz and Arun (2006) and Uddin and Choudhury (2008) that report similar family dominance in the board of directors. Since family owners could influence the CSR prac- tises it would be interesting to consider the impact of family owner- ship on CSR disclosures.

The findings of previous Bangladeshi studies (see for example, Islam & Deegan, 2008) also suggest that international buyers in the export orient- ed sector, in particular the clothing industry, have influenced the CSR practises and reporting by Bangladeshi companies. In particular, some re- cent incidents in relation to work place safety, violation of human rights, child labour etc. in the clothing sector, the prime industry of Bangladesh, have brought the attention of foreign buyers, media and the international community on the issue of CSR practises in Bangladesh. The failure by the Bangladeshi government to observe its own national laws has prompted international buyers to insist on their own codes of conduct with local companies. Pressure has emerged from various agencies for companies to act responsibly and be accountable for the impacts they have on the social, political and ecological environments. It would be therefore inter- esting to investigate whether a powerful stakeholder group (such as international buyers) can influence the level of CSR disclosures in Bangladesh. Furthermore, the second reason for conducting this study is that there is scant empirical evidence on the determinants of CSR in Bangladesh. Previous studies (Belal, 2000, 2001; Belal, Khan, & Alam, 1998; Belal & Owen, 2007; Imam, 2000) have mainly focused on the na- ture and extent of CSR disclosures in the annual reports in Bangladesh. Empirical studies found that the level of CSR varies across companies, in- dustries, and time (Gray, Javad, Power, & Sinclair, 2001; Hackston & Milne, 1996; Reverte, 2009). These studies also indicated this behaviour to be systematically determined by a variety of firm and industry characteris- tics such as size, leverage and age that influence the relative costs and benefits of disclosing such information (Cormier & Magnan, 2003; Cormier, Magnan, & Velthoven, 2005; Patten, 2002).

By using a sample of Bangladeshi data during the period of 2005 to 2009 we explore the determinants of CSR disclosures. Our results docu- ment a number of determinants of CSR disclosure in Bangladesh. In par- ticular, we find that family ownership is negatively related to the extent of CSR disclosures implying that family owners are less concerned about organisational legitimacy. We also document that larger firms provide more CSR disclosures as they receive more attention from the various groups in society to disclose their social activities and legitimise their businesses. Our study further finds that export-oriented industries are disclosing more CSR information than other industries as they are under more stakeholder pressure regarding environmental and social disclosures. Previous research mainly focuses on extent, content and motivational factors of CSR disclosures. However, our study contrib- utes to the literature by exploring a number of firm and industry characteristics that are important determinants of the extent of CSR disclosures in a developing country like Bangladesh. The find- ings of our study also provide empirical support to the findings of Belal and Owen (2007) and Islam and Deegan (2008) who mention that pressures from international buyers are a crucial factor for CSR disclosures in Bangladesh.

4 A limited number of studies have also been done in the context of developing coun- tries (Ghazali, 2007; Naser et al., 2006; Rahman, Zain, & Al-Haj, 2011).

3. Theoretical framework

The most frequently cited theory in social and environmental reporting studies is the legitimacy theory. The theory is based on the no- tion of a ‘social contract’, which limits the activities of an organisation within the boundaries set by the society (Gray, Owen, & Adams, 1996). In essence, the organisation will gain support from the stake- holders and continue in existence in so far as its activities give benefits, or at least are not harmful to society. According to this theory organisa- tions continually seek to ensure that they are perceived as operating within the bounds and norms of their respective societies, that is, they attempt to ensure that their activities are perceived by outside parties as being ‘legitimate’. Perrow (1970) defines legitimacy as a generalised perception or assumption that the actions of an entity are desirable, proper, or appropriate within some socially constructed system of norms, value, beliefs, and definitions. Although firms have discretion to operate within institutional constraints, failure to conform to critical, institutionalised norms of acceptability can threaten the firm's legitima- cy and ultimately its survival (DiMaggio & Powell, 1983; Oliver, 1991; Scott, 1987). An organisation therefore, through its top management, seeks congruency between organisational actions and the values of its general and relevant publics (Dowling & Pfeffer, 1975; Lindblom, 1994) or its stakeholders. Sethi (1979) argues that if an actual or poten- tial disparity exists between organisational and social values, then organisational legitimacy will be jeopardised giving rise to a legitimacy gap. A widening gap will cause an organisation to lose its legitimacy. Under such circumstance an organisation can adopt a number of public disclosure strategies for its survival (Dowling & Pfeffer, 1975; Lindblom, 1994).

In social and environmental accounting literature, many researchers concur that social and environmental disclosures can be employed by an organisation to mitigate legitimacy threat and reduce the legitimacy gap (see for example Deegan, Rankin, & Tobin, 2002; Deegan, Rankin, & Voght, 2000; Hogner, 1982; Patten, 1992). Legitimacy theory therefore implies that it is the top management of an organisation which is responsible to recognise legitimacy gap and carry out necessary social practises and disclose that accordingly to stakeholders to ensure accountability.

4. Institutional background and CSR practises in Bangladesh

Bangladesh is an emerging economy in the South Asian region. It was a British colony for around two hundred years. The institutional en- vironment in Bangladesh differs from that in many developed Western economies in several important respects. It is characterised by a less developed capital market (World Bank, 2009), a ‘weak-efficient’ stock market (Islam & Khaled, 2005), the absence of active corporate control, a passive managerial labour market and poor incentive contracts for management (Farooque et al., 2007). The regulatory environment is also very poor. Although Bangladesh inherited Common-law from British colonial rule, it is characterised by weak and relatively unsophisticated legal and regulatory frameworks. The poor enforcement of relevant regulations often fails to protect minority shareholders' rights.

Bangladeshi capital market is dominated by a high level of family ownership and management or foreign owners (Imam & Malik, 2007). The prevalence of family-owned businesses plays a significant role in the economy. Farooque et al. (2007) find that about 78% of CEOs are shareholders of the firm, either as founder shareholders or as descen- dants of founding families. The study also finds that the five largest shareholders hold more than 50% of shares in Bangladeshi companies. Most of the companies have executive directors, a CEO and a chairman from the controlling family. In Bangladesh, controlling families hold their shares independently in a particular company or group of compa- nies. It is commonly perceived that families are there to protect their

170 M.B. Muttakin, A. Khan / Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 168–175

own interests capitalising on the poor market, legal and institutional setup at the expense of the minority investors' interest.

Like many other developing countries Bangladesh started to focus on rapid industrialisation for faster economic development after its independence in 1971. To attain this objective a private sector-led industrial development policy is being aggressively pursued with the aim of attracting as much foreign investment as possible. Among different industrial sectors the clothing industry is the most notable one as the lion's share of the country's foreign exchange earnings comes from this sector. The export earnings of clothing products increased from US$624.16 million in 1990 to US$7900.80 million in 2006. Bangladesh's garment industry provides employment to more than 4 million workers with 3.2 million (80%) of the workers being women (Pennington, 2013).

Increased industrialisation and growing foreign investment have implications for corporate accountability and reporting particularly on employee and ethical issues. This in turn has led to increasing demands for enhanced accountability and transparency in business practises (Belal & Owen, 2007). Most of the investors are very little aware of the corporate disclosures. Here the culture of disclosure by the corpo- rate body is mainly influenced by the requirements of the Companies Act and the regulations of the Security Exchange Commission. Accord- ing to Ahmed and Nicholls (1994) the level of corporate disclosure is very poor. The corporate disclosure is characterised by inadequacy, and the lack of reliability, transparency and accountability. Previous studies investigating CSR disclosure in Bangladesh have found such disclosure levels to be significantly low (for example, Belal (2000)) and of a rather descriptive nature, mostly reporting positive news (Imam, 2000). A significant portion of the CSR-related disclosure in- volves employee related information (Belal, 2001). Azim, Ahmed, and Islam (2009), in a recent study of CSR disclosures by listed public com- panies in Bangladesh in 2007, reveal that only around 16% of companies provide voluntary disclosures. Prior studies on CSR disclosures in Bangladesh suggest that pressures from powerful stakeholders, rather than efficiency incentives, are the drivers for such disclosures (Belal & Owen, 2007; Islam & Deegan, 2008). A recent study by Khan, Muttakin, and Siddiqui (2013) also provides empirical support to this notion and concludes that CSR disclosures are used by managers as a strategic tool to attain legitimacy.

5. Determinants of CSR disclosure: Development of hypotheses

5.1. Family ownership

Family owners, who play a dominant role in regard to corporate so- cial strategies than other investors, are likely to be less concerned about public accountability and organisational legitimacy. Therefore, compa- nies tend to report less when there is high family ownership. Chau and Gray (2002) document a negative association between family own- ership and voluntary disclosures. They argue that family-controlled firms have little motivation to disclose information in excess of manda- tory requirements because the demand for public disclosure is relatively weak in comparison with companies that have wider ownership. An owner managed company is very common in Bangladesh and in most of the cases the owners are family members (Farooque et al., 2007). The concentrated ownership by the family members enables managers to dominate the company and decide upon the strategies and policies about organisational social behaviour. For this type of companies, public accountability may be less of an issue because outsiders' interests may be relatively small. In other words, managers of closely held companies may not invest heavily in socially responsible activities because the costs of investing in these activities may far outweigh its potential benefits. Hence a lesser amount of CSR information can be expected in closely held or owner managed companies. The findings of limited prior evidence also document a negative relationship between fam- ily ownership and the extent of CSR disclosures (Block & Wagner,

in press; Ghazali, 2007). We therefore, propose the following hypothesis:

H1. Ceteris paribus, there is a negative relationship between family ownership and CSR disclosure.

5.2. Firm size

Previous studies have indicated that larger firms tend to provide more disclosures. Larger firms are more visible and tend to be subject to greater public scrutiny (Watts & Zimmerman, 1986). Large firms do have a bigger effect on the community, and therefore normally have a bigger group of stakeholders that influence the corporation (Hackston & Milne, 1996). Dowling and Pfeffer (1975) argue that larger firms are more politically visible, thus they are expected to engage more heavily in legitimating behaviour. Previous studies document a positive rela- tionship between CSR disclosure and firm size (Adams et al., 1998; Cullen & Christopher, 2002; Ghazali, 2007; Haniffa & Cooke, 2005; Naser, Al-Hussaini, Al-Kwari, & Nuseibeh, 2006; Reverte, 2009). We therefore, propose the following hypothesis:

H2. Ceteris paribus, there is a positive significant relationship between firm size and CSR disclosure.

5.3. Export-oriented industry

Bangladesh is currently the second largest exporter of clothing prod- ucts in the world. It generates more than 80% of the export earnings of the country. The industry and its large foreign buyers (such as Walmart and Nike) sometimes attract criticisms from the international media due to work place safety, poor working conditions and wages, and child labour. Accordingly, a number of recent studies (for example, Belal & Owen, 2007; Islam & Deegan, 2008) have identified important stake- holders, such as pressures from international buyers, as a critical factor for making CSR disclosures in Bangladesh. For example, Islam and Deegan (2008) report that multinational buyers of the clothing industry now expect the manufacturers in Bangladesh to attend various social and environmental issues, and failure to meet such expectations may lead to loss of supply contracts. Belal and Owen (2007) also identify pres- sures from international buyers in the garment industry in Bangladesh as an ‘extremely potent factor’ influencing CSR disclosure practises (Belal & Owen, 2007, p. 485). Thus export-oriented industries, particularly the firms in the clothing sector, may have sufficient incentives to provide more CSR disclosures in order to allay any potential concerns of their foreign buyers. As such we propose the following hypothesis:

H3. Ceteris paribus, there is a positive significant relationship between export-oriented industries and CSR disclosure.

5.4. Industry type

The findings of Dye and Sridhar (1995) suggest that companies tend to disclose information in line with the characteristics of their indus- tries. Previous studies document that manufacturing industries which are environmentally sensitive considerably disclose more environment related information than corporations from other industries (Adams et al., 1998; Deegan & Gordon, 1996; Gray et al., 1995). This is because their manufacturing processes are likely to have a negative influence on the environment (Reverte, 2009). Haniffa and Cooke (2005) contend that companies in these industries may provide more information on employee related matters as well as they are more likely to be labour in- tensive. Furthermore consumer oriented industries may provide more social disclosures to improve their image among the consumers. There- fore, CSR practises and disclosures by companies depend on the level of

171M.B. Muttakin, A. Khan / Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 168–175

the impacts of their economic activities on the society. As such we pro- pose the following hypothesis:

H4. Ceteris paribus, there is a positive significant relationship between the type of industry and CSR disclosure.

6. Research design

6.1. Sample

The sample selection procedure is reported in Table 1. The sample consists of all 135 manufacturing companies listed with the Dhaka Stock Exchange (DSE) in Bangladesh from 2005 to 2009, producing a total sample of 675 sample year observations. Due to missing informa- tion, we then had to exclude 95 firm year observations, yielding a final sample of 580 firm year observations. We collect the financial and own- ership data from the annual reports of the sample companies listed on the Dhaka Stock Exchange. Social responsibility information was hand collected from the corporate social responsibility disclosure, corporate governance disclosures, directors' report, Chairman's statement, and notes to the financial statement contained in annual reports.

The sample consists of various sectors such as: cement (7), ceramics (4), engineering (19), food (21), jute (3), paper and printing (2), miscel- laneous (11), pharmaceuticals (21), tannery (5) and textile (23).

6.2. Model specification

We use the following regression model to test the relationship between the corporate governance variables and the corporate social responsibility disclosure (CSRD).

CSRD ¼ α þ β1 FOWN þ β2 FSIZE þ β3 EXPORT þ β4 ROA þ β5 LEV þ β6 FAGE þ β7 CEMCER þ β8 INDUSTRIAL þ β9 CONSUMER þ β10 PROCESS þ β11 HEALTHþ β12 MISC þ ε

ð1Þ

where

CSRD corporate social responsibility disclosure score index, FOWN percentage of shares owned by the families, FSIZE natural logarithm of total assets, EXPORT dummy variable equals 1 if the firm belongs to textile indus-

try and 0 if otherwise, ROA profitability (ratio of earnings before interest, taxes and total

assets),

Table 1 Sample description.

Panel A: Sample size

Number of firms 135 Less: Companies without necessary information 19

Total 116

Panel B: Industry distribution

Industry sector No. of firms Cement 7 Ceramics 4 Engineering 19 Food 21 Jute 3 Paper & printing 2 Miscellaneous 11 Pharmaceuticals 21 Tannery 5 Textile 23 Total 116

LEV ratio of book value of total debt and assets, FAGE natural log of the number of years since the firm's inception, CEMCER dummy variable equals 1 if the firm belongs to cement or

ceramic industry and 0 if otherwise, INDUSTRIAL dummy variable equals 1 if the firm is an engineering firm

and 0 if otherwise, CONSUMER dummy variable equals 1 if the firm belongs to food indus-

try and 0 if otherwise, PROCESS dummy variable equals 1 if the firm belongs to jute, paper,

printing and tannery and 0 if otherwise, HEALTH dummy variable equals 1 if the firm belongs to the pharma-

ceutical industry and 0 if otherwise, and MISC dummy variable equals 1 if the firm belongs to other indus-

tries and 0 if otherwise.

The assumptions underlying the regression model are tested for multicollinearity based on the correlation matrix as well as the variance inflation factor (VIF).5

6.3. Dependent variable: Corporate social responsibility disclosure (CSRD) indices

The CSR disclosure indices represent the dependent variable in this study. To assess the extent of CSR disclosure in annual reports, a check- list containing 20 items was constructed (see Appendix A). We follow previous studies to construct this checklist. In particular we follow Haniffa and Cooke (2002, 2005) and Ghazali (2007) and develop a mod- ified checklist including the items relevant to Bangladeshi companies. A dichotomous procedure is applied whereby a company is awarded a 1 if an item included in the checklist is disclosed and 0 if it is not disclosed. All annual reports have been read twice to ensure consistency in scor- ing. The first author has done the coding. Thereafter the second author has rechecked the coded data through comparing them with the rele- vant information. In cases of discrepancies the second author has reanalysed the information to resolve that. We do not penalise a firm for non-disclosure if the item is not relevant to the firm. Such a judge- ment can be made after reading the entire annual report (Cooke, 1992). For such a firm, non-disclosure was treated as non-applicable. Consistent with Ghazali (2007) the CSR disclosure index has been de- rived by computing the ratio of actual scores awarded to the maximum possible score attainable for items appropriate (applicable) to that firm. Following Haniffa and Cooke (2002), the CSRD index is calculated as follows:

CSRDj index ¼

Xn j

t¼1 Xij

nj ; ð2Þ

where:

CSRDj index Corporate Social Disclosure Index for jth firm, nj number of items expected for j

th firm, where n ≤ 20,

y 1, if ith items are disclosed for firm j, 0 if otherwise, so that 0 ≤ CSRDj ≤ 1.

Consistent with prior disclosure index studies (Botosan, 1997; Gul & Leung, 2004), we use the Cronbach's coefficient alpha (Cronbach, 1951) to assess the internal consistency of our disclosure index. Internal con- sistency refers to the degree to which the items in a test measure the same construct. Botosan (1997) and Gul and Leung (2004) use the coef- ficient alpha as a reliability statistic that is useful to assess the degree to which correlation among the information categories of the disclosure

5 None of the variables have a VIF value in excess of 10 (Neter, Wasserman, & Kutner, 1983) which suggests that multicollinearity is not a problem in interpreting the regression results.

Table 2 Descriptive statistics.

Variable Mean Median Std. dev.

CSRD 0.223 0.200 0.173 FOWN 0.299 0.342 0.222 FSIZE 8.700 8.705 0.661 EXPORT 0.205 0.000 0.404 LEV 0.776 0.626 0.807 ROA 0.075 0.071 0.095 FAGE 23.659 24.000 10.709 CEMCER 0.087 0.000 0.281 CONSUMER 0.196 0.000 0.397 PROCESS 0.085 0.000 0.279 HEALTH 0.202 0.000 0.402 MISC 0.090 0.000 0.286

172 M.B. Muttakin, A. Khan / Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 168–175

index is attenuated due to random error. The coefficient alpha for the five information categories in our disclosure index is 0.702. This statistic provides a good support that the set of items in the disclosure scoring index captures the same underlying construct.6

6.4. Control variables

We use three control variables in our model. These are leverage, firm age and profitability. In companies with higher leverage, the manage- ment needs to legitimise its actions to creditors as well as shareholders (Haniffa & Cooke, 2005). Purushothaman, Tower, Hancock, and Taplin (2000) predict a negative relationship between leverage and CSR disclo- sure in that companies with high leverage may have closer relationships with their creditors and use other means to disclose social responsibility information. Company age is a critical factor in determining the level of corporate social disclosure. An older firm provides more social responsi- bility disclosure (Roberts, 1992). A more matured firm is concerned about its reputations and hence may disclose more social responsibility information. Profitable companies demonstrate their contribution to society's well-being and legitimise their existence through the disclo- sure of more social information (Khan et al., 2013).

7. Results

Table 2 provides the descriptive statistics for the variables used in the study. The average disclosure score is 22.30 (median = 20.00). The average family ownership (FOWN) is 29.90%. Average 42.70% firms are environmentally sensitive. The average firm age is around 24 years. The average ROA of the sample firms is 0.075.

Table 3 presents the correlation matrix among variables. Corporate social responsibility disclosure (CSRD) score is negatively correlated with family ownership (FOWN) (ρ = −0.182). However, corporate social responsibility disclosure (CSRD) score is positively correlated with export-oriented industries (ρ = 0.032), profitability (ROA) (ρ = 0.371), firm size (FSIZE) (ρ = 0.557) and firm age (FAGE) (ρ = 0.231).

Table 4 reports the mean values of the explanatory variables under analysis across the CSR disclosure ratings for both firms with a rating higher than the median and those with a rating lower than the median. To test the statistical significance of the mean differences in the explan- atory variables between both groups of firms, we perform a t-test. In panel A we create these two groups using our CSR index (CSRD). It can be observed that firms with a CSR disclosure rating higher than the median have higher firm age (FAGE) and profitability (ROA), larger firm size (FSIZE) and lower family ownership (FOWN) and leverage (LEV) as compared to those firms with a CSR rating lower than the me- dian. It is also documented that there are more export, miscellaneous and health oriented firms with a CSR disclosure rating higher than the median than those with a rating lower than the median. In panel B, we redo the analysis using a rank order for each observation based on their CSR index. The results reported in this panel are qualitatively sim- ilar to the results reported in the previous panel.

Table 5 reports the results of regressing the explanatory variables on the CSR disclosure ratings. The coefficient of family ownership (FOWN) is negative and significant (β = −0.102, p b 0.01). In other words fam- ily ownership has a negative impact on CSR disclosure which implies that family owners are less concerned about public accountability and organisational legitimacy. This supports H1. Family owners may not be interested to invest in CSR activities since costs associated with these activities may exceed the benefits. Thus they are relatively less concerned about social and environmental activities thereby reporting a lower extent of CSR disclosures.

6 Botosan (1997) obtains a coefficient alpha computed on a standardised data of 0.64. Gul and Leung (2004) compute a coefficient alpha of 0.51.

We document a positive and significant coefficient (β = 0.118, p b 0.01) of firm size (FSIZE). It implies a positive relationship between firm size and CSR disclosure thus supporting H2. This result is consistent with prior studies in other countries (e.g. Adams et al., 1998; Ghazali, 2007; Haniffa & Cooke, 2005). Larger firms are more visible and politi- cally sensitive, hence disclose more CSR information to manage their political cost and legitimise their existence (Ghazali, 2007).

We find a positive and significant coefficient (β = 0.052, p b 0.01) of export sector (EXPORT) variable. Consistent with H3 this result indi- cates more CSR disclosure by the clothing industries in Bangladesh. Firms in the clothing industry provide more CSR disclosures as interna- tional buyers of clothing items now expect the manufacturers in Bangladesh to be socially responsible and to comply with various social and environmental issues. And these firms have strong motivation to become socially responsible as failure to meet such expectations may lead to loss of supply contracts. This finding provides further supports to Belal and Owen (2007) and Islam and Deegan (2008), who identify pressures exerted by powerful stakeholder groups as a principal driver of CSR reporting in Bangladesh.

The findings of our regression also suggest that Bangladeshi firms provide CSR disclosures in line with their industry specific characteris- tics. This is consistent with H4. In particular we document that firms in process and consumer industries provide less CSR disclosures where- as other firms that belong to other industries disclose more CSR infor- mation. Thus our findings provide further support to Dye and Sridhar (1995) and Haniffa and Cooke (2005) who suggest industry specific characteristics to be important determinants of CSR disclosures. Finally, our result individuates that profitable and older firms disclose more CSR information.

A series of tests were conducted to test the model's robustness. First, we obtain variance inflation factors (VIFs) for the variables to test for multicollinearity. There is no indication that there is multicollinearity among the variables. None of the variables have a VIF value in excess of 10 which suggests that multicollinearity is not a problem in interpreting the regression results. Second, we take a different measure of firm size. In particular we take the natural log of market value of eq- uity to measure firm size and rerun the original model. Consistent with our main findings we find a positive significant coefficient of firm size.

8. Conclusions

This study provides empirical evidence based on Bangladeshi firms that reveals that number of firm and industry characteristics are poten- tial determinants of CSR disclosure. Most of prior research on CSR disclosures are of qualitative nature and focus on areas such as nature and content of CSR disclosure and the motivational factors of companies to make such disclosures. Since CSR disclosure is influenced by a number of firm and industry characteristics (Gray et al., 1995, 2001; Reverte, 2009), this study therefore empirically investigates the deter- minants of CSR disclosure in the context of Bangladesh. We adopt

Table 3 Correlation matrix.

Variable CSRD FOWN EXPORT ROA LEV FAGE FSIZE

CSRD 1.000 FOWN −0.182*** 1.000 EXPORT 0.032* 0.020*** 1.000 ROA 0.371*** 0.111*** 0.003* 1.000 LEV −0.192*** −0.108*** −0.024* −0.401*** 1.000 FAGE 0.231*** −0.198*** −0.011** 0.070* 0.240*** 1.000 FSIZE 0.558*** −0.148*** 0.028*** 0.158*** −0.209*** −0.073* 1.000

*, ** and ***: Statistically significant at less than 0.10, 0.05 and 0.01, respectively.

Table 4 Mean values of explanatory variables for firms with ratings higher and lower than median.

Panel A: CSRD

Variables CSRD N median CSRD b median Difference

FOWN 0.290 0.310 0.141 EXPORT 0.267 0.138 0.000*** LEV 0.632 0.940 0.000*** FAGE 1.353 1.289 0.000*** FSIZE 8.988 8.366 0.000*** ROA 0.102 0.043 0.000** CEMCER 0.087 0.085 0.956 INDUSTRIAL 0.177 0.175 0.948 CONSUMER 0.061 0.351 0.000*** PROCESS 0.071 0.101 0.200 HEALTH 0.228 0.131 0.000*** MISC 0.119 0.056 0.007***

Panel B: Rank

Variables Rank N median Rank b median Difference

FOWN 0.264 0.314 0.017** EXPORT 0.226 0.138 0.011*** LEV 0.643 0.941 0.000*** FAGE 1.377 1.289 0.000*** FSIZE 9.060 8.366 0.000*** ROA 0.108 0.043 0.000*** CEMCER 0.110 0.085 0.354 INDUSTRIAL 0.142 0.175 0.309 CONSUMER 0.084 0.351 0.000*** PROCESS 0.075 0.101 0.322 HEALTH 0.314 0.131 0.000*** MISC 0.097 0.056 0.082*

*, ** and ***: Statistically significant at less than 0.10, 0.05 and 0.01.

173M.B. Muttakin, A. Khan / Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 168–175

legitimacy theory as the premise of our theoretical framework in this study since we seek to understand what factors may cause variability in CSR disclosures.

Table 5 Multiple regression results using CSRD as dependent variable.

Model 1: CSRD = α + β1 FOWN + β2 FSIZE + β3 EXPORT + β4 ROA + β5 LEV + β6 FAG HEALTH + β12 MISC + ε

Variable Coefficient t

Constant −0.825 − FOWN −0.102 − FSIZE 0.118 EXPORT 0.052 ROA 0.469 LEV −0.009 − LAGE 0.003 CEMCER −0.037 − INDUSTRIAL −0.082 − CONSUMER −0.095 − PROCESS −0.074 − HEALTH 0.026 MISC 0.108 Adjusted R2 0.528 F-statistic 48.626 Significance of F 0.000

We document that family ownership is negatively associate with CSR disclosures. This implies that family owners are less concerned about public accountability and organisational legitimacy. We also, document that larger firms have positive impacts on the extent of CSR disclosures. Larger firms receive higher attention from the various groups in society and therefore would be under greater pressure to dis- close their social activities to legitimise their business. Export-oriented industries in Bangladesh make significantly more CSR disclosures. This is consistent with the findings by Belal and Owen (2007) and Islam and Deegan (2008), who suggest that the most potent factor for CSR dis- closures in export-oriented industries in Bangladesh is the pressure exerted by important stakeholder groups. Finally we also document that profitable and older firms provide more CSR disclosures.

The overall findings of our study provide empirical evidence which suggests that a number of firm and industry characteristics are determi- nants of extent of CSR disclosures in a developing country like Bangladesh. Our study contributes to the literature by extending the findings of previous research which mainly focus on extent, content and motivational factors of CSR disclosures. Our findings can help the regulators to adopt an appropriate balance of legislation, regulatory re- form and their enforcement to make improvements in the CSR practises as well as enhancement of organisational legitimacy.

The results of our study are subject to several limitations. Our study focuses on only disclosures in corporate annual reports although it is known that the management may use other mass communication mechanisms. Therefore, future research may consider disclosures in other media such as newspapers and the internet. Additionally, involve- ment in socially responsible activities may not necessarily translate into the disclosure of those activities. The CSR disclosure index developed in this study may not have fully or properly captured the CSR practises. Hence it should not be concluded that companies which did not disclose CSR information were not engaged in any social activities.

E + β7 CEMCER + β8 INDUSTRIAL + β9 CONSUMER + β10 PROCESS + β11

-Value Significance VIF

9.731 0.000 3.983 0.000 1.18

13.840 0.000 1.16 3.461 0.000 1.09 7.530 0.000 1.29 1.160 0.246 1.36 5.943 0.000 1.14 0.858 0.391 1.23 1.243 0.214 1.26 2.340 0.020 1.32 2.649 0.008 1.21 0.714 0.475 1.09 2.565 0.011 1.11

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Appendix A

CSR disclosure items

I Community involvement 1 Charitable donations and subscriptions 2 Sponsorships and advertising 3 Community programme (health and education)

II Environmental 1 Environmental policies

III Employee information 1 Number of employees/human resource 2 Employee relations 3 Employee welfare 4 Employee education 5 Employee training and development 6 Employee profit sharing 7 Managerial remuneration 8 Workers' occupational health and safety 9 Child labour and related actions

IV Product and service information 1 Types of products disclosed 2 Product development and research 3 Product quality and safety 4 Discussion of marketing network 5 Focus on customer service and satisfaction 6 Customer award/rating received

V Value added information

1 Value added statement

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  • Determinants of corporate social disclosure: Empirical evidence from Bangladesh
    • 1. Introduction
    • 2. Prior research
    • 3. Theoretical framework
    • 4. Institutional background and CSR practises in Bangladesh
    • 5. Determinants of CSR disclosure: Development of hypotheses
      • 5.1. Family ownership
      • 5.2. Firm size
      • 5.3. Export-oriented industry
      • 5.4. Industry type
    • 6. Research design
      • 6.1. Sample
      • 6.2. Model specification
      • 6.3. Dependent variable: Corporate social responsibility disclosure (CSRD) indices
      • 6.4. Control variables
    • 7. Results
    • 8. Conclusions
    • Appendix A
    • References

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Sustainability Accounting, Management and Policy Journal CSR report assurance in the USA: an empirical investigation of determinants and effects Charles H. Cho Giovanna Michelon Dennis M. Patten Robin W. Roberts

Article information: To cite this document: Charles H. Cho Giovanna Michelon Dennis M. Patten Robin W. Roberts , (2014),"CSR report assurance in the USA: an empirical investigation of determinants and effects", Sustainability Accounting, Management and Policy Journal, Vol. 5 Iss 2 pp. 130 - 148 Permanent link to this document: http://dx.doi.org/10.1108/SAMPJ-01-2014-0003

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CSR report assurance in the USA: an empirical investigation of determinants and effects

Charles H. Cho ESSEC Business School, Cergy Pontoise, France

Giovanna Michelon Department of Accounting, University of Exeter Business School, Exeter, UK

Dennis M. Patten Department of Accounting, Illinois State University, Normal, Illinois, USA, and

Robin W. Roberts Kenneth G. Dixon School of Accounting, University of Central Florida,

Orlando, Florida, USA

Abstract

Purpose – The authors aims to examine, first, what factors appear to lead those US companies that do obtain assurance on their CSR reports to do so, and second, whether this assurance appears to be valued by market participants.

Design/methodology/approach – The authors use logistic regression analysis to determine what factors explain the choice to seek assurance. For the second stage of the analysis, the authors rely on Aboody et al.’s market valuation model to examine the association between CSR report assurance and firm value.

Findings – The authors find that industry membership and disclosure extensiveness both appear to influence the choice to attain third-party assurance on CSR reports in the USA. However, the results also indicate that the assurance is not associated with higher market value for report-issuing companies.

Research limitations/implications – The authors examine only large firms and limit the investigation to a single year. Further, the authors do not examine market valuation effects where a broader stakeholder orientation might influence these relations.

Practical implications – The results suggest that improving the incidence of CSR report attestation in the USA may require efforts from the assurance community to better identify the potential benefits of the practice.

Originality/value – This is the first study to focus on CSR report assurance in a setting where country-level influences appear to limit adoption of the practice. As such, the findings are potentially important for understanding both the low incidence of assurance and what might be necessary to increase its use.

Keywords Assurance, CSR reporting, Market valuation

Paper type Research paper

Introduction Over the past two decades, market participants and other interested parties worldwide have witnessed a significant increase in the number of publicly held corporations issuing stand-alone corporate social responsibility (CSR) reports[1] (Simnett et al., 2009). To illustrate, while only about 500 firms published a stand-alone CSR report in 1998,

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Sustainability Accounting, Management and Policy Journal Vol. 5 No. 2, 2014 pp. 130-148 q Emerald Group Publishing Limited 2040-8021 DOI 10.1108/SAMPJ-01-2014-0003

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almost 6,000 did so in 2011 (Corporate Register, 2012). Elite business thought leaders now overwhelmingly embrace CSR activities and reporting as a necessary part of corporate strategy (Porter and Kramer, 2006; 2011; Gore and Blood, 2011; KPMG, 2011a) and CSR reporting is viewed by many global executives working in large corporations as critical to improving their corporate reputation (KPMG, 2011b). Further, recent academic research suggests that initiation of stand-alone CSR reporting appears to have substantial positive impacts on issuing firms’ cost of capital (Dhaliwal et al., 2011).

As with all types of voluntary corporate disclosure, CSR reporting is subject to concerns regarding the completeness and credibility of the information that is being provided (Merkl-Davies and Brennan, 2007; Bouten et al., 2012; Cho et al., 2012), and obtaining third-party assurance has been argued as a valuable tool for addressing these concerns (Beets and Souther, 1999; Simnett et al., 2009; Holder-Webb et al., 2009). Thus, it is not surprising that concomitant with the rise in CSR reporting, international evidence indicates an increase in the number of corporations providing third-party assurance of their CSR reports (Park and Brorson, 2005; Kolk and Perego, 2010; Mock et al., 2013). For example, in 2002, only 29 percent of the Global 250 corporations producing CSR reports provided third-party assurance. By 2011, this had grown to approximately 45 percent (KPMG, 2011b). However, in contrast to this growth worldwide, and in spite of the potential benefits espoused in both the practice (Ballou et al., 2006) and the academic literature (Hodge et al., 2009; Pflugrath et al., 2011; Ballou et al., 2012), assurance of stand-alone CSR reports in the USA is quite limited. Corporate Register in its 2012 report on corporate responsibility reporting, for example, notes that 90 percent of CSR reports in the USA do not include an assurance statement, a figure the organization finds troubling. As stated in the report (Corporate Register, 2012, p. 35), this “sends the signal that these are not serious business documents.” Given the relative lack of assurance on CSR reports in the USA and the concerns about the message this may be conveying, we attempt in this investigation to address, first, what factors appear to lead those companies that do obtain assurance to do so, and second, whether assurance on CSR reports in the USA appears to be valued by market participants.

Based on a sample of 216 Fortune 500 firms with a stand-alone report issued for 2010 (26 of which included an assurance statement), we find that industry membership and disclosure extensiveness both appear to influence the choice to attain third-party assurance on CSR reports in the USA. However, our results also indicate that the assurance is not associated with higher market value for report-issuing companies. The results on the impacts of CSR report assurance hold when we control for companies’ social and environmental performance. Overall, therefore, our findings support the argument that, consistent with evidence for firms from other regions, those US companies purchasing assurance on their CSR reports appear to do so to enhance the credibility of the reporting package. However, the lack of market impacts, in conjunction with the traditional managerial focus on shareholder interests in the USA, may explain the low level of take-up on CSR report assurance, and this suggests that market perceptions regarding the link between CSR report assurance and firm value may need to be developed before the CSR report assurance market in the USA can mature.

The remainder of the paper is organized as follows. The next section includes the background/literature review on CSR assurance research and develops hypotheses to be tested in the study. Third section explains the methods and analysis and is followed

CSR report assurance

in the USA

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by the presentation of the results. Discussion, conclusions, limitations, and suggestions for future research are provided in the last section.

Background and prior studies Perhaps, owing to stand-alone CSR reporting being a relatively new phenomenon (Buhr, 2007), only a few recent studies explore the factors that lead companies to attain assurance on their stand-alone CSR reports. In the first of these investigations, Park and Brorson (2005) interviewed executives from 28 Swedish firms and report that the primary factor driving the decision to seek assurance was the need for enhanced credibility. From the alternative perspective, the authors noted arguments for not purchasing assurance included concerns about its cost, a belief that assurance did not add value to the reporting, and that the companies’ CSR reporting systems were not developed enough to warrant the purchase of external assurance.

Taking a broader perspective, Mock et al. (2007) investigate assurance on CSR reports for a sample of 130 entities from 21 different countries over the years 2002 and 2003. They report that, geographically, companies from the European Union constituted the largest percentage of their sample, whereas, in terms of industry, electric and energy firms and oil and gas companies were most represented[2]. In a follow-up to that investigation, Mock et al. (2013) identify a worldwide sample of 148 assured reports issued in 2006 or 2007[3]. While EU firms again dominated the new sample, an interesting development was an increase in the number of financial services companies with assurance on their reports. The two studies also reveal an increasing use of Big 4 audit firms for assurance across the two time periods (rising from 35 percent of the sample in the earlier assessment to 51 percent in the latter).

Focusing on a more extensive sample of international firms, Simnett et al. (2009) empirically examine the impact of both country-level and firm specific factors on the choice to have CSR reports assured[4]. Based on a sample of reports issued over the 2002 through 2004 period, Simnett et al.’s (2009) results indicate that, overall, a stakeholder orientation at the country level appeared to be the most significant factor explaining CSR report assurance choice, although firm size and industry affiliation also were found to play a role. When US firms were deleted from the sample, it was only these latter factors that continued to hold significance, leading Simnett et al. (2009) to conclude that it is the need for enhanced credibility that drives demand for assurance. These results thus add credence to the findings reported by Park and Brorson (2005).

In a very similar study, Kolk and Perego (2010) also investigate whether country-level and firm specific factors influence the demand for CSR report assurance. Focusing on the reports of companies from the Fortune Global 250 across 1999, 2002, and 2005, Kolk and Perego (2010) report that companies from common law countries, countries with weaker legal enforcement, and countries with higher institutional pressures for corporate sustainability were all more likely to attain assurance on their CSR reports. Similar to Simnett et al. (2009), Kolk and Perego also find that industry affiliation influenced assurance choice, although in contrast, firm size was not a significant factor in their investigation.

In general, Park and Brorson (2005), Simnett et al. (2009) and Kolk and Perego (2010) all present evidence consistent with the argument that the need for enhanced credibility drives, at least to some extent, the demand for assurance on CSR reports. Other recent research suggests that the assurance appears, at least in some cases, to lead to a perception of increased credibility. Hodge et al. (2009), using a surrogate sample

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of business students in Australia, find in their experimental study that users perceive disclosed social and environmental information as more reliable when accompanied by an assurance statement, although the effect is muted when assurance level is limited and the assurer is not a top-tier accounting firm. Somewhat similarly, Pflugrath et al. (2011), also based on an experimental design, report that assurance on CSR reports leads to increased credibility for a sample of financial analysts from Australia, the USA, and the UK. However, they also find that the impacts on credibility are higher when reporting companies are from industries where assurance is more common, and that, for analysts from the USA, assurance by a professional accountant leads to more credibility in the reporting than when assurance is from a sustainability consultant. Finally, Ballou et al. (2012) explore how accountants can add value to sustainability initiatives, and in particular how accounting expertise can contribute to the strategic integration of such activities. The results of their survey indicate that although accounting professionals are rarely involved in these initiatives, their involvement is perceived to be associated with strategic integration.

Development of hypotheses Given the relatively limited evidence to date, the first intent of our investigation is to extend the prior research into factors that drive the demand for assurance on stand-alone CSR reports. As noted above, both Simnett et al. (2009) and Kolk and Perego (2010) explore this issue using international samples and both studies find that stakeholder orientation at the country level is associated with increased demand for CSR report assurance[5]. Both examinations also report low levels of the practice by corporations in the USA (classified as having a shareholder, as opposed to a stakeholder, orientation). However, while considerably more limited than in many other countries, assurance of CSR reports does still exist in the USA[6]. Given this phenomenon, we investigate, in a setting where country-level factors appear to inhibit the use of assurance on CSR reporting, what firm-specific factors, if any, are associated with CSR report assurance.

In addition to country-level factors potentially affecting the demand for CSR report assurance, Simnett et al. (2009) and Kolk and Perego (2010) also find that industry classification appears to influence the choice. Simnett et al. (2009) note that companies having a greater social or environmental impact are more exposed to social and environmental risks and thus may purchase assurance “to increase user confidence in the credibility of the information contained in the sustainability reports they produce” (Simnett et al., 2009, p. 943). Although only included as controls in their analysis, Kolk and Perego (2010, p. 188) also posit that companies with more exposure to social and environmental risks will be more likely to seek assurance on their CSR reports. Both Simnett et al. (2009) and Kolk and Perego (2010) test for industry effects focusing on specific industry sectors[7]. We concur that companies facing greater social and environmental exposures are expected to have a larger need for enhancing the credibility of their CSR reports and thus are more likely to demand outside assurance. However, following the social and environmental disclosure literature (Patten, 2002; Cho and Patten, 2007), we expect these exposures to be a function of both company size and membership in environmentally sensitive industries[8]. Based on the arguments and findings of Simnett et al. (2009) and Kolk and Perego (2010) we also expect companies in the finance sector to have a greater need for CSR report assurance. We formally state these expectations as:

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H1a. Ceteris paribus, the choice to obtain assurance on the CSR report will be positively associated with firm size.

H1b. Ceteris paribus, the choice to obtain assurance on the CSR report will be positively associated with membership in an environmentally sensitive industry.

H1c. Ceteris paribus, the choice to obtain assurance on the CSR report will be positively associated with membership in the finance industry.

In addition to the factors above, we believe the nature of the CSR report itself may also explain differences in the choice to attain third-party assurance. Numerous studies (Brown et al., 2010; Guidry and Patten, 2010) document that the extent of disclosure in stand-alone reports varies considerably across firms, and as such, it seems plausible that, in particular, companies providing more limited CSR information in their reports would be less inclined to seek assurance[9]. Further, evidence suggests there is considerable skepticism regarding the purposes for CSR reporting (Gray, 2006; Cho et al., 2012). For example, Guidry and Patten (2010) report that the public relations firm Burson-Marsteller surveyed NGO organizations and found that fewer than half of the respondents found CSR reports believable. However, respondents to that survey also indicated that third-party assurance increased their confidence in the reporting. Thus, to the extent that good reporting practices are a function of corporate commitment to CSR, firms with more extensive reports may be willing to obtain third-party assurance to further signal their commitment to reporting quality and enhance the credibility of the information communicated. Second, independent assurance is costly, and as such, only those companies that are committed to “sincere” reporting might be expected to incur the additional expense. This argument is consistent with Park and Brorson’s (2005) finding that companies with less developed CSR reporting systems are less likely to see assurance as being beneficial. As such, we expect those companies providing a more extensive CSR reporting package to be more willing to pay the cost of third-party assurance. We formally state this hypothesis as:

H1d. Ceteris paribus, the choice to obtain assurance on the CSR report will be positively associated with the extensiveness of disclosure in the report.

The second stage of our analysis attempts to identify whether assurance on CSR reporting in the more limited US context induces shareholder effects. CSR reporting has been argued to be used as a tool for reducing information asymmetry between managers and investors with respect to disclosing companies’ social and environmental impacts. Studies within this perspective adapt the predictions of voluntary disclosure theory (Dye, 1985; Verrecchia, 1983) to the provision of social and environmental information. For example, Clarkson et al. (2008) argue that companies with better environmental performance due to an unobservable proactive environmental strategy have an incentive to use disclosure to signal this strategy to investors. By doing so, “they seek to reveal their performance type, something not directly observable to investors and other stakeholders” (Clarkson et al., 2008, p. 308). These signals can potentially increase firm value because they will inform investors about latent environmental performance. Similarly, Dhaliwal et al. (2011) claim that CSR disclosure is important for reducing information asymmetry regarding CSR projects with implications for positive future cash flows, and thus the value of the company.

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A number of studies within the valuation literature provide further justification for expectations that CSR information might be reflected in firm value. For example, Murray et al. (2006) and Jones et al. (2007) each examine whether differences in social and environmental disclosure have long-term effects. Murray et al. (2006) find no short-term associations between CSR disclosure and market valuation for a sample of UK firms, although they find that over a nine-year period of time, higher levels of disclosure appear to correlate with higher market valuation. On the other hand, Jones et al. (2007), relying on a sample of Australian companies, find that CSR disclosure appears to be negatively, but only weakly associated with longer-term market valuation effects. Finally, Barth and McNichols (1994), Hughes (2000) and Clarkson et al. (2004) all present evidence suggesting the market captures at least some environmental performance information made available through non-company sources. However, none of these studies investigates the impact of assurance with regard to market valuation effects.

Signaling theory would appear to suggest that if CSR reporting is indeed used to indicate a superior social and environmental strategy to the market, and if assurance increases the credibility of that CSR message, market participants would value more highly those disclosing firms with assured reports. Along these lines, Mock et al. (2013, p. 280) argue that assurance of CSR reports might be driven by market factors, such as “the increasing prominence within the capital markets of indices such as the Dow Jones Sustainability Index (DJSI), the Ethibel Sustainability Index (ESI) and the FTSE4Good”. Nevertheless, we also acknowledge that CSR reports have been widely criticized as not providing meaningful information. Gray (2006, p. 803), for example, argues that “the vast majority of corporate reporting practice is [. . .] voluntary, partial, and, mostly, fairly trivial,” and “with such data, no reader could make any kind of reliable estimate of the organisation’s social or environmental performance.” Thus, it is not clear that CSR disclosure and its assurance should be expected to relate to firm value. We state this hypothesis as:

H2. Ceteris paribus, the market value of reporting companies will be positively associated with having assurance on their CSR reports.

Methods Sample We limit our analysis to publicly traded US companies included in the 2010 Fortune 500. Based on a review of CorporateRegister.com and individual company web sites, we identified 217 of those firms with a standalone CSR report issued during 2010. However, we exclude one firm due to missing data leaving a sample of 216 companies. Our sample firms, on average, are large with mean (median) 2010 sales of $29.33 billion ($13.15 billion). The sample includes firms from 44 two-digit Standard Industrial Classification (SIC) codes (based on each company’s primary SIC code), with the largest group, 23 companies, coming from the 49xx (utilities) industry. Slightly more than half of the sample firms, 111 companies, indicated they followed GRI reporting guidelines in the development of their report. Only 26 of the 216 sample companies issued standalone reports including an assurance statement (and all 26 of these had followed GRI guidelines). This represents just over 12 percent of the sample, and while still considerably lower than the rate of assurance reported by Simnett et al. (2009) for their international sample of firms (approximately 31 percent), it is nearly double the 6.19 percent rate of assurance Simnett et al. indicate for the US companies included in their sample[10].

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Empirical models Building on Simnett et al. (2009) and Kolk and Perego (2010), the first intent of our investigation is to identify whether firm specific factors found to explain differences in the choice to seek assurance on standalone CSR reports internationally also hold in the USA context. We primarily rely on Simnett et al.’s (2009) empirical model that, based on findings from the voluntary assurance literature, controls for firm size (Ln(Sales)), leverage (Leverage), and return on assets (ROA). However, while Simnett et al. (2009) include separate classification variables for firms in the mining, production, and utilities industries under arguments that their operations put them under greater environmental exposure, we instead use a single “environmentally sensitive industry” (ESI) variable that has been used more extensively in the social and environmental disclosure literature (Hackston and Milne, 1996; Patten, 2002; Cho and Patten, 2007). Following this prior work, we classify firms from the mining and extractive, paper, chemicals, petroleum, metals, and utilities industries as being environmentally sensitive. Given Simnett et al.’s (2009) finding of a positive relation between finance industry membership and the choice to attain assurance on CSR reports, we also include finance as an explanatory variable.

We also differ from Simnett et al. (2009) by examining whether CSR report disclosure extensiveness influences the choice to attain assurance. We use content analysis to assess the extensiveness of our sample companies’ CSR report disclosure. Content analysis has been used extensively in social and environmental disclosure research (Deegan and Rankin, 1996; Cho and Patten, 2007; Clarkson et al., 2008) and involves assessing the reports for the presence of information disclosure across specific content items. While a variety of disclosure metrics have been used in environmental disclosure research, measures incorporating social information disclosure are less common. As such, we rely on the 1978 Ernst & Ernst survey of CSR disclosure for our content scheme. The Ernst & Ernst (1978) disclosure scale identifies 25 social information items (see the Appendix for list of items). Our sample companies’ stand-alone CSR reports were reviewed by trained graduate assistants under the direction of one member of the research team, and companies were awarded one point for each area of disclosure included in the report[11]. Disclosure scores, designated as SRscr, could thus range from 0 to 25.

Similar to Simnett et al. (2009) and Kolk and Perego (2010), we use logistic regression analysis to estimate the relation between the choice to have the CSR report assured (coded as a 1) and our independent variables. Our model[12], used to test H1a through H1d is stated as:

Assurancei ¼ a1 þ B1LnðSalesÞi þ B2Leveragei þ B3ROAi þ B4ESIi

þ B5Financei þ B6SRscri ð1Þ

The second stage of our analysis focuses on the association between CSR report assurance and firm value. Consistent with the prior studies of the valuation effects of environmental information (Clarkson et al., 2004; Hughes, 2000), we use an adaptation of the Ohlson (1995) market valuation model. More specifically, we follow Aboody et al. (2004) and use sample firms’ 2010 fiscal year-end stock prices on common stock as our measure of market value of equity. We control for the net book value (NBV), measured as 2010 fiscal year-end total assets minus total liabilities divided by the total number of common shares outstanding[13], as well as short-term financial performance (2010 ROA). Further, and contingent on finding a significant relation between CSR report

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disclosure extensiveness and the choice to assure, we also include the SRscr measure as a control. The market value model used to test H2 is thus stated as:

Pi ¼ a1 þ B1NBVi þ B2ROAi þ B3SRscri þ B4Assurancei ð2Þ

Results Descriptive statistics Table I presents definitions for all variables used in our analysis, while Table II summarizes descriptive statistics for all model variables. As indicated in the table, the mean common stock price of our sample firms is $43.19 with an average NBV of $19.15 per share of common stock outstanding. On average, our sample companies are profitable with a mean ROA of 10 percent, and the mean leverage of the firms stands at 64 percent of total assets. The disclosure content scores for our companies range from 1 to 25, with a mean of 16.75, while KLD concerns (discussed below) averaged 4.24 per company based on a range from 0 to 14.

Correlations Table III shows the correlations between the variables. At the univariate level, we find that Assurance is positively correlated with the CSR disclosure score (SRscr), indicating that firms with more extensive disclosure are more likely to seek assurance. The correlation coefficient between market value (P) and Assurance is negative but not significant.

Choice to assure test Table IV presents the binary logistic regression results for the analysis of CSR report assurance. As highlighted in the table, both of our industry classification variables (ESI and Finance) are positively and significantly (at p , 0.10, one-tailed) associated with assurance choice[14]. These results support H1b and H1c. We also find that the extensiveness of disclosure in the CSR reports (captured as SRscr) is positively and significantly (at p ¼ 0.001, one-tailed) related to report assurance. Supporting H1d,

Variable Definition

Assurance A 1/0 indicator variable where 1 identifies the sample company’s CSR report included external assurance

Ln(Sales) The natural log of the sample company’s 2010 revenues Leverage The sample company’s 2010 total liabilities on 2010 total assets ROA The sample company’s 2010 earnings before interest and taxes on 2010 total assets ESI A 1/0 indicator variable where 1 identifies that the sample company’s primary operations

are in an environmentally sensitive industry (chemical, paper, metals, petroleum, mining and extractive, and utility industries)

Finance A 1/0 indicator variable where 1 identifies that the sample company’s primary operations are in the finance industry

SRscr A content score of the extensiveness of disclosure in the sample company’s CSR report P The sample company’s common stock price at fiscal 2010 year-end NBV The NBV of assets (total assets minus total liabilities) at 2010 fiscal year-end divided

by the number of common shares outstanding KLDcon The total number of social and environmental concerns noted for the sample company

in the 2010 KLD ratings

Table I. Variable definitions

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this indicates that companies with more extensive disclosure in their CSR reports are more likely to seek external assurance. However, in contrast to Simnett et al. (2009) (but consistent with Kolk and Perego, 2010), our firm size measure is not significantly associated with assurance choice, and thus H1a is not supported. We also show no significant relation between the choice to get external assurance on the standalone CSR report and either Leverage or ROA. Overall, our results indicate that, similar to the findings for the choice to assure for international firms, industry differences appear to play a role in that decision for US companies as well. Importantly, our results indicate that disclosure extensiveness also influences the assurance decision[15].

CSR assurance and market value test We summarize in Table V the results of our multiple regression analysis examining the impact of CSR report assurance on differences in the market value of report-issuing firms. As expected, both NBV and ROA are positively and significantly ( p , 0.001, one-tailed) related to the year-end stock prices (P) of our sample firms. In contrast, we fail to find evidence that CSR reporting and assurance impact investor perceptions of value. Both the SRscr variable, our measure of disclosure extensiveness, and the Assurance variable are, in contrast to expectations should assurance matter, negatively signed, and neither is statistically significant at conventional levels. One possible explanation for the lack of association between assurance and market value may center on the type of assurance. Pflugrath et al. (2011) report that financial analysts in the USA view assurance form non-accountants as adding less credibility to CSR reports, and almost all of the assured reports in our sample firms (24 of the 26) attained it from non-accounting organizations. Overall, our results suggest that investors in the USA do not perceive that assurance of standalone CSR reports adds incremental value to disclosing companies, and as such we fail to find support for H2[16].

Sensitivity tests – controlling for social and environmental performance In general, the results of our tests above suggest that assurance on the standalone CSR report does not appear to explain differences in the market value of report-issuing firms. However, it seems plausible that differences in actual social and environmental

Variables n Min. Max. Mean SD

P 216 4.23 283.75 43.19 29.778 Ln(Sales) 216 22.09 26.76 23.54 0.951 Leverage 216 0.22 1.17 0.64 0.173 ROA 216 20.01 0.32 0.10 0.060 NBV 216 212.87 63.04 19.15 13.340 SRscr 216 1.00 25.00 16.75 5.371 KLDcon 188 0.00 14.00 4.24 2.615 Sample frequencies Assurance 26 (12.04%) ESI

a 46 (21.30%)

Finance 5 (2.31%)

Note: a Table I provides all variable definitions

Table II. Descriptive statistics

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Table III. Correlations

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performance across firms could be expected to potentially influence this relation. Thus, we repeat our analysis on the impacts of CSR report assurance controlling for this performance.

Data on social and environmental performance is collected from the KLD Research and Analytics, Inc. database. KLD is an independent company which rates hundreds of US firms across six CSR areas: community, diversity, employee relations, environment, human rights, and product quality and safety[17]. For each area, KLD analysts assign strengths and concerns associated with these issues. KLD data have been extensively used in the management literature on corporate social and environmental performance (Waddock and Graves, 1997; Johnson and Greening, 1999; Hillman and Keim, 2001; David et al., 2007) as well as in recent social and environmental accounting research (Cho et al., 2006, 2010; Cho and Patten, 2007). Based on Chatterji et al.’s (2009) findings that KLD strength scores are not valid measures of performance, we use only the KLD concern ratings. Because some of our sample companies are not included in the KLD rankings, our robustness tests use a reduced sample of 188 firms[18].

The regression model is stated asa:

Assurancei ¼ a1 þ B1LnðSalesÞi þ B2Leveragei þ B3ROAi þ B4ESIi þ B5Financei þ B6SRscri

The sample size is 216 22 log likelihood ¼ 132.645 Nagelkerke R 2 ¼ 0.219 Percentage of cases correctly predicted ¼ 88.0 Variable Predicted relation Parameter estimate Significance

b

Constant None 21.607 0.785 Ln(Sales) (þ) 20.198 0.410 Leverage (þ) 21.912 0.262 ROA (þ) 1.795 0.343 ESI (þ) 0.824 0.053 Finance (þ) 2.015 0.068 SRscr (þ) 0.265 0.001

Notes: aTable I provides all variable definitions; bsignificance levels are one-tailed for ROA, ESI,

Finance, and SRscr

Table IV. Binary logistic regression results for the relation between assurance on standalone CSR reports and potential explanatory factors

The regression model is stated asa:

Pi ¼ a1 þ B1NBVi þ B2ROAi þ þB3SRscri þ B4Assurancei

The sample size is 216 Adj. R 2 ¼ 0.465 F-statistic ¼ 47.647 Significance of F-stat. ¼ 0.000 Variable Predicted relation Parameter estimate t-statistic Significance of t-statistic

b

Constant None 21.283 20.211 0.833 NBV (þ) 1.297 11.457 0.000 ROA (þ) 240.582 9.510 0.000 SRscr (þ) 20.296 21.029 0.305 Assurance (þ) 24.644 20.982 0.327

Notes: aTable I provides all variable definitions; bsignificance levels are one-tailed for the NBV and

ROA variables

Table V. Regression results for tests of the relation between market value of equity and assurance on standalone CSR reports

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Normatively, we would anticipate that worse social and environmental performance would be negatively associated with the market value of firms[19], and, because higher KLD concern scores indicate worse performance, we expect our control variable to be negatively related to market value. However, in addition to controlling for social and environmental performance we also examine whether the impacts of CSR report assurance differ across performance. If companies attain assurance to improve the credibility of their reporting, we expect assurance to have more impact on that credibility when the reporting company is a better social and environmental performer[20].

Table VI presents the results of our sensitivity analyses controlling for social and environmental performance and interactive effects of performance and CSR report assurance. As highlighted in the table, neither KLDcon, our measure of social and environmental performance, nor the Assur*KLDcon interaction variable is significantly associated with sample companies’ year-end stock prices. Further, controlling for these factors, Assurance continues to be statistically insignificant with respect to explaining differences in firms’ market value. Thus, our additional tests continue to support the finding that assurance on CSR reports appears to have no impact on sample companies’ valuation[21].

Discussion and conclusion For more than a decade, practitioners have been espousing the ability of third-party assurance to add credibility to corporations’ CSR reports (Wallage, 2000). In spite of these claims, the determinants and potential benefits of assurance of CSR reports have received only modest research attention to date. As such, in this investigation we explore this relatively new assurance practice with respect to both its demand and its influences on market valuation. However, in contrast to prior studies, we focus our examination exclusively on companies from the USA, a locale where a shareholder orientation has been argued to be a primary driver of reduced demand for the service (Simnett et al., 2009; Kolk and Perego, 2010). Our research indicates that US Fortune 500 companies obtaining assurance on their stand-alone CSR reports tend to operate in environmentally sensitive industries or in the finance industry, suggesting that, similar to demand in an

The regression model is stated as: a

Pi ¼ a1 þ B1NBVi þ B2ROAi þ B3SRscri þ B4Assurancei þ B5KLDconi þ B6Assur * KLDconi

The sample size is 188 Adj. R 2 ¼ 0.469 F-statistic ¼ 28.480 Significance of F-stat. ¼ 0.000 Variable Predicted relation Parameter estimate t-statistic Significance of t-statistic b

Constant None 27.599 21.214 0.226 NBV (þ) 1.063 10.002 0.000 ROA (þ) 235.818 9.625 0.000 SRscr (þ) 0.316 1.140 0.128 Assurance (þ) 28.499 21.147 0.253 KLDcon (2) 0.208 0.370 0.712 Assur*KLDcon (2) 1.405 0.730 0.466

Notes: aTable I provides all variable definitions; bsignificance levels are one-tailed for the NBV, ROA,

and SRscr variables

Table VI. Regression results for

tests of the relation between market value of equity and assurance on standalone CSR reports

controlling for social and environmental

performance

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international setting, the need for enhanced credibility of the CSR disclosures increases the likelihood of obtaining assurance. However, we also find that the extensiveness of the disclosure in the CSR report appears to play an important role in the choice for assurance. Companies with more extensive disclosure packages may be more willing to incur the cost of outside assurance.

With respect to the market effects of CSR report assurance in the USA, we find that assurance is not associated with higher market value for our sample of report-issuing companies, and these results hold when we control for companies’ social and environmental performance. Taken together, our findings support the notion that, while those US companies obtaining assurance may be doing so to enhance the credibility of their CSR reporting package, the assurance does not appear to be valued by investors. Accordingly, we believe the results of our investigation may help to explain why CSR report assurance remains so limited in this region. US-based corporations operate in an economic and legal environment dominated traditionally by a managerial focus on shareholder interests. If managers presume, as our evidence appears to suggest, that investors do not value CSR report assurance, they likely would see its cost as not being justifiable unless there is substantial need for enhancing the credibility of the disclosure for other reasons. If this is the case, more efforts on the part of the USA professional auditing community may be needed to legitimize the CSR assurance practice in the eyes of the market. In their case study of a sustainability assurance professional services firm in Europe, O’Dwyer et al. (2011) document that the assurors were aware that ensuring the longer term embeddedness and durability of a sustainability assurance practice would require them to seek out and explain to key non-client audiences what the assurance process entailed and how it might provide outcomes that these stakeholders would regard as socially desirable. The case study firm accomplished this by holding formal consultations with a variety of NGOs. If embedding, and expanding, a CSR report assurance practice in the USA is going to be accomplished, it may be necessary for the auditing profession in the US to similarly reach out to the investment community and more carefully sell, not only the social, but also the economic benefits that CSR assurance could provide.

As in all investigations, ours is subject to limitations. We focus only on Fortune 500 firms, a sample of relatively large US companies, and thus the extent to which the associations we document hold in other settings cannot be generalized. However, our results on the relation between the extensiveness of disclosure in CSR reports and the choice to obtain assurance suggest that controlling for the nature of the reporting package may be important in future research into factors explaining assurance choice for firms in other countries. It is important to note also, however, that our measure of reporting extensiveness only captures the breadth of the reporting package, not its overall quality, and as such, extending the research by more carefully focusing on differences in report quality could prove interesting. For example, inclusion of more quantitative or monetary information may increase the likelihood of seeking assurance on the disclosure. Further, exploring whether assurance on CSR reports induces stakeholder benefits such as, for example, improved social and environmental image, would also be potentially informative. Finally, we note that we examine only one year of observations, hence we are not able to determine whether and how the relations analyzed in our study evolve and change over time. Longitudinal analyses would thus be potentially informative.

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Notes

1. These reports are published under a variety of different names including sustainability, environmental, health and safety, and community reports, to list a few. We use the term CSR reports to capture all of these stand-alone documents.

2. Mock et al. (2007) do not separately identify how many US firms are included in their sample, but note that only seven of the 130 companies are from North or South America.

3. Only one of these companies was a US firm.

4. Simnett et al. (2009) also examine the impact of these factors on report issuance and the choice of assurer (accountant versus non-accountant).

5. Kolk and Perego (2010) classify countries with code law legal systems as being stakeholder oriented.

6. Both Barrett and Gendron (2006) and Coram et al. (2009) note that, as early as the late 1990s the American Institute of Certified Public Accountants was encouraging the audit profession to seek out alternative opportunities for attestation beyond traditional financial audits (Elliott, 1997).

7. Simnett et al. (2009) identify the mining, production, utilities, and finance industries as being subject to greater social and environmental exposures, whereas Kolk and Perego (2010) include the oil, gas, and chemical industry, utilities industry, and manufacturing industry as being environmentally exposed, and the finance industry as being exposed to a need for greater accountability from stakeholders.

8. Both Simnett et al. (2009) and Kolk and Perego (2010) include firm size as control variables in their analyses.

9. In support of this notion, and as we report below, all of our sample companies with assurance on their CSR reports indicated they followed GRI reporting guidelines.

10. The higher rate is likely a function of our focus only on larger firms in that Simnett et al. (2009) include smaller companies and also report that firm size is significantly associated with the choice to assure for their sample of companies. In support of this point, KPMG (2011b) reports that 13 percent of US companies in the Global 250 that issue CSR reports had assurance by third parties.

11. All assessments were reviewed by the research team member for consistency across reports and across graduate student assessors.

12. As a sensitivity test, we replace Ln(Sales) with the natural log of total assets. In all cases, results remain qualitatively unchanged.

13. We also estimated the market valuation model using total market value (price £ number of shares outstanding) as the dependent variable and unscaled NBV as independent variable. These non-tabulated results were qualitatively similar to those we present here. We note that the advantage of using stock price and adjusted NBV in our current model is that it scales for heteroskedasticity.

14. We also estimated the binary logistic model with the separate industry classifications used by Simnett et al. (2009). These non-tabulated results indicated a positive association with assurance choice for finance, utilities, and mining industry firms at p , 0.10, one-tailed. SRscr remained positively and significantly related to assurance choice at p ¼ 0.001, one-tailed.

15. We re-estimated the equation using only those sample companies following GRI reporting guidelines. For this sub-sample analysis the extensiveness measure remains statistically significant (at p , 0.01, one-tailed).

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16. Pflugrath et al. (2011), in their behavioral study focusing on analysts’ perceptions on the value of assurance for CSR reporting, find that assurance appears to matter more for companies from environmentally sensitive industries than for those in other sectors. In a non-tabulated sensitivity test we include both an ESI indicator variable to designate sample firms from environmentally sensitive industries and an Assurance*ESI interaction variable to allow the impact of assurance on market value to vary for ESI firms relative to other sample companies. Neither the ESI variable nor the interaction term was statistically significant and inclusion of these variables did not change the primary model relations for either assurance or SRscr.

17. KLD also evaluates firms with respect to corporate governance. We do not use these ratings as part of our analysis.

18. As an additional robustness check, we replace the KLD data with the 2009 environmental impact scores as reported by Newsweek magazine (Cho et al., 2012). While this measure is limited to environmental performance it was available for all but six of our sample companies. Results, not presented, are consistent with those using the KLD performance measure.

19. This relation is supported by Barth and McNichols (1994), Hughes (2000) and Clarkson et al. (2004) who all report a significant negative relation between their various measures of poor environmental performance and the market value of equity. We are aware of no studies, however, that assess the impacts of social performance on companies’ market value.

20. This expectation is in line with the arguments by Coram et al. (2009) who, building on attribution theory, argue that when disclosure is perceived to be self-serving (disclosure of positive performance), users will consider it in pricing their claims only if an assurance report on the information is provided to increase the credibility of the disclosure.

21. To address potential endogeneity problems, we also use a simultaneous equations approach and estimate a two-stage least squares regression model where the first stage estimates the determinants of assurance and the second tests the effect of the assurance on firm value. Results of these additional analyses are consistent with those presented above thus confirm our main findings.

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Appendix 1. Disclosure scale of social information items from the Ernst & Ernst (1978) survey Environment

1. Pollution control.

2. Prevention or repair of damage to the environment.

3. Conservation of natural resources.

4. Other environmental disclosures.

Energy

5. Conservation of energy.

6. Energy efficiency of products.

7. Other energy-related disclosures.

Fair business practices

8. Employment of minorities.

9. Advancement of minorities.

10. Employment of women.

11. Advancement of women.

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12. Employment of other special-interest groups.

13. Support for minority businesses in the USA.

14. Socially responsible business practices abroad.

15. Other statements on fair business practices.

Human resources

16. Employee health and safety.

17. Employee training.

18. Other human resource disclosures.

Community involvement

19. Community activities.

20. Health-related activities.

21. Education and the arts.

22. Other community activity disclosures.

Products

23. Safety.

24. Reducing pollution arising from use of product.

25. Other product-related disclosures.

Corresponding author Dennis M. Patten can be contacted at: [email protected]

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This article has been cited by:

1. Michael Kend. 2015. Governance, firm-level characteristics and their impact on the client’s voluntary sustainability disclosures and assurance decisions. Sustainability Accounting, Management and Policy Journal 6:1, 54-78. [Abstract] [Full Text] [PDF]

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2015-11.pdf

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Determinants of Web-based CSR Disclosure in the Food Industry

Florian Sommer* , Jeanette Klink*, Daniela Senkl#, and Monika Hartmann* * University of Bonn, Germany; University of Hamburg, Germany

[email protected]; [email protected]

Abstract Purpose –Web-based CSR disclosure bears a variety of advantages for firms. Determining factors for web-based CSR disclosure have been analyzed in several papers. However, only limited research has been conducted on both, the food industry and small and midsized enterprises. This paper is one contribution to fill this gap as we investigate web-based CSR communication of food processors including SME. Design/methodology/approach – We analyzed corporate communication on the websites of N=71 food producers from North Rhine-Westphalia, Germany using dictionary-based content analysis. Based on an ordered logit model the relationship between CSR communication and size, profitability, indebtedness and closeness to market was estimated. Economic data were obtained from the commercial database Dafne. Findings – Our results reveal that larger firms provide relatively more CSR information than smaller firms. There was no significant relationship between CSR disclosure and profitability or indebtedness of a company and ambiguous ones with regard to the determinant ‘closeness to market’. Regarding the different areas of communication we found that social compared to environmental aspects were underrepresented. Practical implications – Social aspects of CSR could be used for differentiation at the market. Furthermore as smaller firms provide relatively fewer information on CSR it might be worthwhile to analyze central impediments for CSR communication for those companies. Originality/Value – This paper contributes to the ongoing discussion about firms’ CSR communication. It provides for a convenience sample of 71 food processing firms’, including SME, insight regarding the determinants for CSR disclosure on firms’ websites. With the focus on the food industry and the inclusion of SMEs we contribute with our study to two under-researched areas. Keywords – Corporate Social Responsibility; Online Communication; Dictionary Based Content Analysis; Food Industry

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Introduction

The awareness of social responsibility is on the rise. Firms have to cope with stakeholders’ and especially customers’ expectations. Numerous studies have shown that for consumers and for society, social, ethical and ecological behavior of food processors is of increasing relevance (Hartmann et al., 2013). Thus, communicating an organizations’ social responsibility is getting crucial for firms in the food industry.

The internet is one important channel for corporate social responsibility (CSR) communication. Stakeholders, including customers, activists or potential employees use corporate websites to obtain information about a firm’s social commitment. The use of a corporate website allows reaching these stakeholders without informational mediators, like journalists(Carroll, 2011). Compared to e. g. paper based reports, web-based communication reduces marginal costs of information and increases accessibility and timeliness (lodhia, 2012; Orens et al., 2010) and thus has been increasingly used by companies. Hence, it is not surprising that web-based CSR disclosure has also attracted versatile attention in the scientific literature. In his review article, Fifka (2011) identified 186 empirical research papers examining the determinants of CSR reporting. More recently Golob et al. (2013) summarized the results of 90 empirical papers and Hahn and Kühnen (2013) the findings of 178 conceptual papers in this field.

Results of previous studies show that whether and to what extent a firm communicates CSR online is determined by firms’ size, profitability, public awareness, industry and country the firm is located (Amran et al., 2013; Orens et al., 2010; Lattemann et al., 2009; Morhardt, 2009; Tagesson et al.,2009; Brammer and Pavelin 2008; Haddock- Fraser and Fraser, 2008; Wanderley et al., 2008). Although size has been shown as an important determinant in most papers, only a few studies have taken small and medium enterprises (SME) into account (Fifka and Drabble, 2012; Morhardt, 2009). Instead, most authors focus on multinational, stock listed companies (MNEs). Furthermore, so far very little research has focused on the food industry. Examples for the few papers dealing with the food industry are Haddock (2005) and Cuganesan et al. (2010). As the food industry is dominated by SME, research gaps regarding studies on SMEs and on the food sector are closely intertwined. Our study aims to fill these gaps by analyzing CSR communication on corporate websites of N=71 food producers of different size. About half of the enterprises in our sample qualify as SME.

Literature

CSR is a highly diverse topic. A plethoria of definitions and connected concepts exist, which are partly overlapping, partly conflicting (Dahlsrud, 2008). For example, Beare et al. (2013) mentioned that CSR and corporate sustainability have converged into synonyms in recent literature. Dahlsrud (2008) concludes that business’ challenge is not to find a scientific definition of CSR, but to understand what customers and other stakeholders associate with responsible firm conduct. According to the conclusion of Dahlsrud (2008) we rely on the CSR definition of ISO 26000 (ISO 26000).1 This definition has been derived in a multi-stakeholder dialogue and thus can be seen as a common understanding of CSR (Hahn, 2013).

Current research on determinants of CSR disclosure analyses financial reports, CSR reports, integrated reports as well as corporate websites. In this section we will only refer to results of empirical papers which take corporate websites into account. A broader overview encompassing also papers about

1 According to ISO 26000 (ISO, 2010) CSR is defined as: ‘… the responsibility of an organization for the impacts of its decisions and activities on society and the environment, through transparent and ethical behaviour that contributes to sustainable development, including health and welfare of society, takes into account expectations of stakeholders, is in compliance with applicable law and consistent with international norms of behaviour and is integrated throughout and practiced in an organization’s relationships.’

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financial and nonfinancial disclosure can be found in the literature reviews of Hahn and Kühnen (2013), Golob et al. (2013), Fifka (2011) as well as in the literature section of Morhardt (2009).

Size

Size seems to be an important determinant of online CSR disclosure. Larger firms are more visible and thus face more pressure to engage in and communicate CSR (González-Benito and González-Benito, 2006). Tagesson et al. (2009) showed that larger firms (measured in revenues or number of employees) are more likely to communicate CSR on their website and communicate CSR more intensively. Similar results were obtained by Amran et al. (2013), Orens et al. (2010), Lattemann et al. (2009), Brammer and Pavelin (2008), Haddock-Fraser and Fraser (2008) and for the food industry by Haddock (2005). Also Morhardt (2009) show for smaller MNEs that size (measured as log revenues) explains a large proportion of overall variance in CSR communication (only data for US firms available). However, regarding very large firms (> 9 bio. US-$), Morhardts‘ (2009) results indicate that size has no (Europe, Asia) or very limited (USA) influence on CSR disclosure.

Most previous studies focus on multinational listed companies. Although size has been shown as an important determinant in these contributions only a few studies have taken small and medium enterprises (SME) into account (Fifka and Drabble, 2012; Morhardt, 2009). Nevertheless based on the results of previous investigations we arrive at hypothesis 1:

H1: Web-based CSR disclosure increases with size of the firm.

Profitability and leverage ratio

Whether CSR communication depends on firms’ profitability remains a controversial issue. Tagesson et al. (2009) showed that profitability (measured as ROE and ROA) increases likelihood and intensity of online CSR disclosure. Differently Brammer and Pavelin (2008) could not find a significant relation between profitability and environmental communication. From a theoretical point of view it could be argued that slack resources and thus the financial ability of firms are relevant – if not necessary – for firms’ investments in CSR and CSR disclosure (Hartmann, 2011). Thus, we arrive at our second hypothesis:

H2: Web-based CSR disclosure increases with profitability of the firm.

Orens et al. (2010) showed that communicating responsible firm conduct can reduce cost of capital. Thus, to improve access to equity or debt capital indebted firms might be assumed to be more active in CSR communication. However, a relationship between leverage ratio and CSR communication could not be confirmed by Orens et al. (2010). Regarding e.g. environmental initiatives or audits, no significant relationships could be discovered between the level of debt and CSR disclosure (Brammer and Pavelin, 2008). Brammer and Pavelin (2008) even found the tendency that more indebted firms are even less likely to communicate an environmental policy. Indebted firms likely lack the financial resources to engage in CSR and CSR disclosure (see above). We thus assume:

H3: Web-based CSR disclosure decreases with indebtedness of the firm.

Closeness to Market and Industry

According to Wanderley et al. (2008) there exists a general dependency between a firm’s CSR disclosure and the sector the firm is affiliated with. Tagesson et al. (2009) shows that ethical aspects are communicated more often by consumer goods producers. The findings of Morhardt (2009) show that companies in environmental and social sensitive industries (e. g. chemical industry) are more active in online CSR communication. It is unclear whether this effect exists on industry level or on the level of the single firm. The results of Brammer and Pavelin (2008) indicate that the extent to which an individual firm faces bad environmental publicity is not important for its CSR disclosure. These findings are in contrast to the ones of Orens et al. (2010), Haddock-Fraser and Fraser (2008) and Haddock

Florian Sommer et al.

21

(2005). They showed that firms which face negative environmental publicity report more environmental information.

In addition to inter-industry variance Morhardt (2009) also reports a substantial intra-industry variance in CSR disclosure. Cuganesan et al. (2010) analysed the CSR communication of 19 large food producers. They did not find a significant variance between the different sectors of the food industry, but a large variance within each sector. However, due to the small sample-size the results have to be handled with caution.

Haddock-Fraser et al. (2010) showed that companies selling their goods directly to consumers (close-to-Market companies: C2M) communicate more on environmental aspects than contract manufacturers (B2B). Similar results were obtained by Haddock (2005), Haddock-Fraser et al. (2010), Morhardt (2009) and in the case-studies of Bolivar (2009). Tang and Li (2009) found that C2M firms are more active in communicating their societal engagement like support for education or sponsorship. Amran et al. (2013) do not confirm in their study the positive effect of C2M on CSR disclosure but shows that brand named firms communicate more on CSR. Brand as well as C2M increases visibility and thus pressure to ‘do good and talk about it’.

To exclude inter-industry effects we focus in our analysis on websites of food-processors. Regarding intra-industry effects of CSR disclosure we propose:

H4: Web-based CSR disclosure increases when a firm engages in C2M subsectors.

Country-of-origin

The amount of CSR disclosure seems to depend on the country of origin (Gill et al., 2008; Hsieh, 2012; Lattemann et al., 2009; Morhardt, 2009; Wanderley et al., 2008). Also content differers between countries. For example Gill et al. (2008) showed significant differences in the CSR topics communicated by American, European and Asian companies. To exclude country-of-origin effects and problems of analyzing and comparing texts in different languages we only include firms from Germany, even more specific for North Rhine Westphalia in our sample.

Methodology and Data

We analyzed the websites of N=71 food processors in North Rhine-Westphalia, Germany. The sample has to be characterized as a convenience sample. Firm size measured in net revenues varied between 0.5 Mio. € and 2.124.8 Mio. € (mean=142.0 Mio €; sd=291.7 Mio. €). 32 out of the 71 firms qualified as SME. Profitability measured as Return-on-Equity (ROE) varied between -291.73 and 513.84 (mean=33.50; sd=99.58).

The food industry is dominated by small and midsized enterprises with highly fluctuating and often incompletely published economic data. Thus we used averages over the years 2009 and 2012 and only included firms with at least valid figures for two of those four years. Information was obtained from a commercial Database (DAFNE). More recent data was not available at the time of our research.

All websites have been harvested in spring 2013 using the software AutoMap 3.0.10.18. Of those webpages that were identical to more than 80% only one was removed. For the analysis we used dictionary based content analysis. This method uses predefined dictionaries to code texts automatically. A dictionary consists of categories and the respective concepts. The frequencies of the concepts occurring in the text are summed up within each category. This method has previously been used by Gill et al. (2008), Pollach (2013) and Pollach et al. (2009) to analyze CSR communication.

𝑓𝑟𝑒𝑞 𝑐𝑎𝑡𝑒𝑔𝑜𝑟𝑦 = ∑𝑐𝑜𝑛𝑐𝑒𝑝𝑡𝑠 𝑖𝑛 𝑐𝑎𝑡𝑒𝑔𝑜𝑟𝑦

∑𝑎𝑙𝑙 𝑤𝑜𝑟𝑑𝑠

Like suggestedby Pollach (2013) and Sommer et al. (2013) we developed the concepts of the dictionary inductively out of the analyzed websites. Doing so, we minimized the risk to miss out on important concepts. The categories have been developed according to the seven core subjects of ISO 26000 (ISO 26000). A total of 5416 words

Florian Sommer et al.

22

(concepts) have been allocated to these seven categories and relative frequencies of the words in each category have been counted by AutoMap. Example of the codes can be found in Table 1.

Table 1. Categories used in the coding of web-based CSR disclosure

Category Example 1 Organizational governance Ethics, commitment

2 Human rights Asylum 3 Labor practices

ILO, shift work

4 The environment GHG, logistics 5 Fair operating practices fairtrade 6 Consumer issues QM, vitamins 7 Community involvement and development Charity, sponsor

Results

For each category correlations (somers’ d, spearmans rho) were calculated between CSR communication (relative frequency of coded words in the category) and total revenues (REV), natural logarithm of total revenues (ln(REV)) as well as number of employees (all: size-effect), return on equity (ROE) and return on assets (ROA; both: profitability effects) as well as leverage ratio (LR). The results with respect to the correlations between CSR disclosure and ln(REV)2 and ROE, respectively, are depicted in Table 2. The correlations between CSR disclosure and number of employees and ROA, respectively, were lower or insignificant than the ones for ln(REV) and ROE, respectively. Leverage ratio correlated only significantly with category 4 (the Environment; somers’ d=.0129**; Spearman’s rho=n.s.). 3

Table 2. Correlations between firms’ web-based CSR disclosure and firm size/firm profitability

Ln(REV) ROE

category N Somers’ d Spearmans rho

N Somers’ d Spearmans rho

1 Organizational governance 71 .161** .256** 68 -.010 -. 016 2 Human rights

71 .099* .212* 68 .163*** .340***

3 Labor practices 71 .232*** .349*** 68 .030 . 027 4 The environment 71 .099 .153 68 .015 .007 5 Fair operating practices 71 .150** .220* 68 .153** .230* 6 Consumer issues 71 .200** .297** 68 .025 .041 7 Community involvement and development

71 .147* .241** 68 .129 .185

Note: *, **, ***: significance at the 90%, 95% and 99% level.

2 The correlations are similar for total revenues, however as ln(REV) was needed for the regression model only the correlation between CSR disclosure and ln(REV) are shown in Table 2. 3 The low correlation coefficients are all but surprising. Orens et al. (2010) found a correlation (pearson) of .351 (p<.001) between size (logarithm of total assets) and CSR communication. The correlations between size and social disclosure published by Tagesson et al. (2009) were .399 (p<.001; number of employees) and .487 (p<.001; revenues), respectively and the ones between profitability and disclosure .273 (p<.001; ROE) and .171 (p<.05; ROA), respectively.

Florian Sommer et al.

23

Sub-sectors of the food industry were classified as C2M branches or not by an international group of ten experienced agricultural economists. Differences in CSR communication between C2M firms and not-C2M firms were analyzed using Mann-Whitney-U-Tests. C2M firms revealed significantly higher values (p<0.01) only regarding the category fair operating practices.

To test our hypotheses ordered logistic regression models were estimated. Quartiles of the relative frequency of coded words in the respective category were used as dependent variable 4. Brant tests showed that proportional odds assumption had not to be rejected (Kleinbaum et al., 2010). As independent variables we included size measured as natural logarithm of total revenues (ln(REV)), profitability measured as ROE, leverage ratio (LR) to measure indebtedness and C2M as a dummy variable. The results of the regression model is depicted in Table 3.

Consistent with hypothesis H1 size has a significant and positive influence on online CSR disclosure in most categories. Closeness-to-market has a positive impact only on disclosure about fair operating practices. Thus a clear answer on hypothesis H4 cannot be given. Interestingly neither profitability nor indebtedness significantly influences CSR disclosure. Thus hypothesis H2 and H3 have to be rejected.

Table 3. Ordered logit models: Determinants of firms’ web-based CSR disclosure

Cat. 1 Cat. 2 Cat. 3 Cat. 4 Cat. 5 Cat. 6 Cat. 7 Ln(REV) .225** n/a .292** n.s. .219* .312** n.s. ROE n.s. n/a n.s. n.s. n.s. n.s. n.s. LR n.s. n/a n.s. n.s. n.s. n.s. n.s. C2M n.s. n/a n.s. n.s. 1.369*** n.s. n.s. Pseudo R² .065 n/a .089 n/a .164 .094 n/a Note: Category 2 could not be analysed due to the low number of firms communicating in it; *, **, ***: significance at the 90%, 95% and 99% level.

Discussion and Conclusion

We analyzed the effect of size, profitability, indebtedness and closeness to market on firms’ CSR disclosure in the North Rhine-Westphalia food industry. All the variables have been found in prior research as significant determinants for CSR disclosure, however, mainly by analyzing MNU. Thus, with our study we investigate whether those factors are also of relevance in the food industry, which is dominated by SMEs.

According to our results size showed to have a significant positive effect on CSR disclosure in most of the categories and thus confirms with prior research (Brammer and Pavelin, 2008; Haddock, 2005; Haddock-Fraser and Fraser, 2008; Lattemann et al., 2009; Morhardt, 2009; Orens et al., 2010; Tagesson et al., 2009). Larger firms are more visible and as a consequence have to cope with stakeholder expectations to a larger extent (González-Benito and González-Benito, 2006).

According to our findings and in contrast to most other studies (e.g Tagesson et al., 2009; Orens et al., 2010), neither profitability nor indebtedness have a significant effect on CSR disclosure. This indicates that for the food sector slack resources might be of less relevance for firms to communicate their CSR activities. Regarding profitability there exists a controversial discussion whether profitability is a prerequisite of CSR activities and disclosure or whether the latter induces the former. To investigate this question we would need profitability data that followed the data of CSR communication. As our data provide information on CSR communication for spring 2013 and on profitability for 2011 and partly for 2012 we could not carry out such an analysis. Further research in this respect would be, however, desirable.

Surprisingly C2M has only a significant influence on CSR disclosure in the field of fair operating practices. Haddock (2005) arrived for British food processors at different results. However, her results were based upon a categorization of the single firm as C2M or Not-C2M while our results are based on a categorization of the

4 More than 60% of the firms did not communicate human rights at all. More than 20% of the firms did not communicate labor practices, fair operating practices as well as community involvement and development at all. To be able to analyze at least the latter ones, quartiles were the smallest possible unit.

Florian Sommer et al.

24

respective subsector (4 digit NACE code). Amran et al. (2013) estimated a model including both, brand ownership and closeness to market, as explanatory variables. Differently to the bivariate tests of Haddock (2005) they found that brand ownership has a significant positive effect on CSR disclosure while C2M does not. Thus it might be that the effect observed by Haddock (2005) is not an industry but a brand effect. However, it is also possible that C2M as defined in our study is too unprecise Further research to investigate the role of brand and consumer orientation of food firms on their CSR disclosure might be fruitful, as Morhardt (2009) has shown important intra-industry variance.

In conclusion our study shows that smaller firms do not only communicate less on CSR in absolute terms, but also in relation to their overall online communication. As consumers can only reward business’ responsible conduct if they know about it, CSR communication should be considered as inherent part of all CSR activities also in SMEs. We furthermore found that social aspects are by far underrepresented in food processors CSR communication. 20% of all analyzed websites do not communicate on social topics like labor practices and human rights. Similar results have been reported by Sommer et al. (2013). These topics might thus be a field where food producers can differentiate themselves from competitors.

Aknowledgement

This paper partly derives from the research project Nachhaltigkeitsstudie Ernährung.NRW‘ funded by the state government of North Rhine-Westphalia and the European Union.

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  • Findings – Our results reveal that larger firms provide relatively more CSR information than smaller firms. There was no significant relationship between CSR disclosure and profitability or indebtedness of a company and ambiguous ones with regard to t...
  • Practical implications – Social aspects of CSR could be used for differentiation at the market. Furthermore as smaller firms provide relatively fewer information on CSR it might be worthwhile to analyze central impediments for CSR communication for th...
  • Originality/Value – This paper contributes to the ongoing discussion about firms’ CSR communication. It provides for a convenience sample of 71 food processing firms’, including SME, insight regarding the determinants for CSR disclosure on firms’ webs...
  • Keywords – Corporate Social Responsibility; Online Communication; Dictionary Based Content Analysis; Food Industry
  • Note: Category 2 could not be analysed due to the low number of firms communicating in it; *, **, ***: significance at the 90%, 95% and 99% level.

2015-12.pdf

Determinants of Social Disclosure Quality in Taiwan: An Application of Stakeholder Theory

Tzu-Kuan Chiu • Yi-Hsin Wang

Received: 28 February 2013 / Accepted: 19 March 2014

� Springer Science+Business Media Dordrecht 2014

Abstract This study adopts a stakeholder theory frame-

work to examine determinants of social reporting quality

and empirically test the ability of the theory to explain

disclosure quality in an emerging economy. Using a sample

of 246 listed companies and a hand-collected dataset that

included 2 years of data based on survey questions

reflecting international disclosure trends, we apply an

aggregate measure of quality with five facets to a variety of

corporate social responsibility areas. The results support

the application and demonstrate that measures of stake-

holder power, strategic posture, economic resources, firm

size, and media visibility are related to social disclosure

quality. This paper adds to the scarce evidence on social

reporting in Taiwan and provides a useful method for

evaluating disclosure quality. It also illustrates the impact

of two dominant foreign stakeholder groups on social

disclosures in Taiwan: (1) organizational buyers in the

global supply chain and (2) listing and social rating agen-

cies in international capital markets.

Keywords Social reporting � Disclosure quality � Stakeholder theory � Supply chain � Taiwan

Introduction

Over the past two decades there has been a steady rise in

the demand for corporate information. With the growth of

public awareness and media coverage of environmental,

social, and ethical issues, firms have sought to enhance the

scope and depth of their social disclosure accordingly. In

broad terms, corporate social disclosure (CSD) refers to

corporate reporting that focuses on environmental, social,

and ethical issues (Gray et al. 1995; Adams et al. 1998;

Deegan 2002; Reverte 2009). It involves such areas as

climate change abatement, human rights, employee rela-

tions, product liability, philanthropy, and corporate gov-

ernance. Firms usually disclose information regarding their

activities in these areas in their annual reports, press

releases, or company website, or in separate social reports

[corporate social responsibility (CSR) report or sustain-

ability report].

In contrast to mandatory financial reporting, the social

reporting context is less prescriptive, thereby making the

motivation underlying disclosure by managers a topic of

inquiry. In general, CSD is viewed as a means to safeguard

corporate reputation and to influence perceptions of the

firm in the minds of stakeholders, such as regulators,

consumers, shareholders, civil society groups, and social

investors (Deegan 2002; Milne 2002; Chen and Roberts

2010; Islam and Deegan 2010). By sharing information

with outside parties on the noneconomic impacts of the

firm’s business operations, disclosure can diminish infor-

mational asymmetries between the firm and its stakehold-

ers, mitigate potential adverse regulatory pressures, and

leave the firm better placed to take advantage of future

investment opportunities. Moreover, several studies have

emphasized the role of social disclosure in maintaining the

legitimacy of business organizations within an institutional

T.-K. Chiu (&) Shanghai Advanced Institute of Finance, Shanghai Jiao Tong

University, Shanghai, China

e-mail: [email protected]

Y.-H. Wang

Department of Accountancy, National Taipei University, San

Shia, New Taipei City, Taiwan

123

J Bus Ethics

DOI 10.1007/s10551-014-2160-5

framework characterized by an increasing interest in CSR

activities (Adams et al. 1998; Neu et al. 1998; Haniffa and

Cooke 2005; De Villier and Van Staden 2006).

Prior studies have revealed that there are a number of

firm and industry characteristics which are potential

determinants of CSD practices and which affect the relative

costs and benefits of disclosure. More specifically, the

existing literature indicates that these costs and benefits are

related to pressures from external agents (Roberts 1992;

Milne 2002; Cormier et al. 2005; Islam and Deegan 2010;

Huang and Kung 2010), the firm’s vulnerability to those

pressures as captured by its size and media exposure

(Roberts 1992; Cormier and Magnan 2003), its resource

availability (Roberts 1992; Brammer and Pavelin 2008;

Branco and Rodrigues 2008), as well as ownership and

governance structures (Haniffa and Cooke 2005; Van der

Laan Smith et al. 2005; Khan et al. 2013).

Stakeholder theory is considered to be an influential

theory within the domain of social and environmental

accounting research (SEAR), and many studies have

employed this theory to explain the organization–society

relationship (Ullmann 1985; Roberts 1992; Van der Laan

Smith et al. 2005; Chen and Roberts 2010; Huang and

Kung 2010). The theory extends the manager’s roles and

responsibilities beyond profit maximization to include

interests and claims of nonshareholding stakeholder

groups. Within this framework, the long-run survival and

success of the firm requires stakeholders’ support, and CSD

is often used as a tool of communication between the

management and its stakeholders to win the necessary

support. However, not all stakeholder groups are of equal

importance to the company, differing in the power they

possess, the legitimacy of their claims, and the urgency of

their demands (Mitchell et al. 1997). Within the limited

time and resources available, managers may only respond

to the most pressing demands of one or two powerful

stakeholder groups, ignoring requests from other groups.

Past studies in the SEAR field have primarily focused on

the Anglo–American context, using countries such as the

UK, Australia, and the USA as the subject of analysis

(Roberts 1992; Gray et al. 1995; Deegan and Gordon 1996;

Adams et al. 1998; Neu et al. 1998). It has been argued,

however, that different societies define the role of firms and

stakeholders differently and that this difference affects the

extent, issues, and quality of CSD (Van der Laan Smith

et al. 2005; Matten and Moon 2008). In recent years, data

from studies on other institutional contexts in emerging

economies have supplemented the literature on CSD (Pu-

rushothaman et al. 2000; Xiao et al. 2004; Chapple and

Moon 2005; Haniffa and Cooke 2005; De Villier and Van

Staden 2006; Khan et al. 2013). These data have stressed

the impact of the macro context on social reporting,

including cultural background, national business system,

regulatory framework, and governance structure. More-

over, the existing literature shows that CSD in these

countries is not only limited in the range of themes

addressed, but is also largely restricted to human resources

and community involvement, with minimal reporting on

climate change and environmental issues. Further, disclo-

sures are normally expressed in general and vague terms

with little concrete information provided; consequently, the

overall quality of disclosure is poor.

This study examines the potential determinants of CSD

practices in Taiwan, an emerging economy where only

scant evidence exists on CSD practices to date. Within a

stakeholder theory framework, we modify the contingency

model proposed by Ullmann (1985) to explain the observed

differences in CSD quality across Taiwanese firms.

According to this model, three dimensions crucial to CSD

are stakeholder power, the firm’s strategic posture toward

CSD, and economic resources. As the theory needs to

embrace a contextual approach, we use Mitchell’s dynamic

model of stakeholder relations (Mitchell et al. 1997) to

identify the so-called ‘dominant’ stakeholders who possess

the relationship attributes of power and legitimacy in the

Taiwanese setting. Two dominant foreign stakeholder

groups, namely, organizational buyers in the global supply

chain and listing agencies in international capital markets,

are of special interest as these two groups affect the mode

of response that firms take to address stakeholder influ-

ences and their specific demands on reporting quality.

Firms displaying an active posture toward CSD through

deliberate measuring, verifying, collating, and publishing

of CSR information clearly attempt to influence their

organization’s status with these dominant stakeholders.

Specifically, Taiwan has a well-developed electronics

industry that serves as outsourced vendors for the global IT

industry and international brands such as Apple, Intel, and

Hewlett-Packard (Lau 1994; Sturgeon and Lee 2005). In

terms of reporting, these firms face high pressure from the

global supply chain and are required to provide specific

information on whether they set formal targets, quantify

social and environmental impact, and report specific actions;

they are also subject to external audit. In addition, quite a few

Taiwanese firms, including Delta Electronics, China Steel,

and Taiwan Mobile, are listed on leading international stock

exchanges or selected as components of global ethical indi-

ces. The opening up of Taiwan’s capital market has increased

the demand on firms to strengthen disclosure quality

regarding their CSR activities. It follows that pressure from

the two dominant foreign stakeholder groups serves as the

main drivers for quality disclosure in Taiwan.

Prior studies often use ‘content analysis’ to quantify the

data and analyze the determinants of the extent of social

reporting (Deegan and Gordon 1996; Patten 2002; Branco

and Rodrigues 2008; Huang and Kung 2010; Khan et al.

T.-K. Chiu, Y.-H. Wang

123

2013), but relatively little attention has been paid to dis-

closure quality. In this paper, we make a distinction

between the extent and the quality of disclosure and select

the latter as the focus of analysis. Although there is no

well-accepted disclosure quality index for CSD, the exist-

ing literature distinguishes between ‘soft talk’ disclosures,

characterized by general, qualitative, nonverifiable state-

ments concerning corporate aims, and ‘higher quality’

disclosures that have attributes of being specific (in time

frame, action, and monetary value), verifiable, and for-

ward-looking (Freedman and Stagliano 1992; Patten 2002;

Cormier et al. 2005; Van der Laan Smith et al. 2005;

Brammer and Pavelin 2008). Consistent with this view, we

use five facets of quality to analyze the reporting behavior

of Taiwanese firms: (1) the firm’s disclosure of CSR pol-

icies, (2) specification of goals, (3) formulation of initia-

tives, (4) quantification of impact and reporting of

progress, and (5) presentation of external certificates and

audits.

Using a sample of 246 firms listed on the Taiwan Stock

Exchange (TWSE) drawn from a diverse range of indus-

trial sectors, we analyze firms’ disclosure quality for two

consecutive years, 2010 and 2011, in the social responsi-

bility areas of human rights, employee relations, climate

change abatement, and environment impact. Data are col-

lected from a set of survey questions in line with interna-

tional disclosure trends, so that the influence of the foreign

institutional context on Taiwanese firms through regula-

tions imposed by dominant stakeholders can be better

observed. The study uses a variety of information sources,

including firms’ annual reports, websites, and CSR reports.

The empirical results show that disclosure quality in

Taiwan is unsatisfactory, with the worst areas being cli-

mate change abatement and environment impact, a situa-

tion which is related to the state’s low concern for social

aspects, poor environmental scrutiny, and insufficient reg-

ulation and lax enforcement on the part of the respective

regulatory authorities. This ensures that the responsiveness

of Taiwanese firms to external forces in the local envi-

ronment is limited, resulting in a situation where the

quality of social reporting lags behind that of industrialized

countries. However, while strong domestic scrutiny bodies

and regulations are lacking, the more globalized Taiwanese

firms, which are subject to higher disclosure standards due

to their international listing status or global supply chain

position, respond actively to the institutional context by

enhancing disclosure quality in relation to the thus-gener-

ated stakeholder power and the resulting legitimacy

requirements. Those who do not face such disclosure

pressures do not respond.

The results of the empirical tests are of interest for

several reasons. First, the significance of the model indi-

cates that stakeholder theory is an appropriate foundation

for empirical analyses of social disclosure quality in Tai-

wan. Second, our overall findings support the contingency

framework developed by Ullmann (1985) that is important

in CSD research. Third, the results compliment, in the

Taiwanese setting, Mitchell’s specification (Mitchell et al.

1997) that power and legitimacy are criteria that can be

used to identify the influential stakeholder groups. Fourth,

the results from the set of control variables indicate that

high-quality disclosure is associated with larger firms, as is

more frequent media exposure. Fifth, the results support

the argument that current period levels of CSD relate to

prior period measures of the independent and control

variables employed in this study.

The remainder of the paper is organized as follows. In

the following section we review the literature in this field

and provide relevant evidence. In the section Social Dis-

closure in the Taiwanese Context we elaborate on con-

textual factors in Taiwan and derive testable hypotheses.

This is followed by a section describing the data and

estimation methods (Data and Method of Estimation) and

the section reporting the findings, with analysis. A number

of conclusions are drawn in the final section. The Appendix

provides details on how the data elements were generated.

Literature Review: Stakeholder Theory and Relevant

CSD Evidence

This study adopts a stakeholder framework to explain the

observed differences in CSD quality across Taiwanese

companies. CSD provides information on the impact of a

company’s corporate social responsibility activities on a

broad range of constituencies or stakeholders. Stakeholder

theory is considered to be an important theory in CSD

research, and many prior studies have employed this theory

to explain the organization–society relationship (Ullmann

1985; Roberts 1992; Milne 2002; Van der Laan Smith et al.

2005; Chen and Roberts 2010; Huang and Kung 2010).

According to Freeman’s now classic definition, a

stakeholder is ‘any group or individual who can affect or is

affected by the achievement of an organization’s objec-

tives’ (Freeman 1984). Stakeholders are those who have ‘a

stake’ in an organization and have something ‘at risk’, and

they usually include stockholders, creditors, employees,

customers, suppliers, public interest groups, governmental

bodies, and the community. While the neo-classical view

of the corporation focuses on shareholder supremacy and

firm profit maximization (Friedman 1970; Jensen 2002), in

contrast, the stakeholder concept is intended to ‘broaden

management’s vision of its roles and responsibilities

beyond the profit maximization functions to include inter-

ests and claims of non-stockholder groups’ (Mitchell et al.

1997). Under this approach, the long-run survival and

Social Disclosure Quality in Taiwan

123

success of the company requires the support of its stake-

holders, and a principal function of the manager is to

handle stakeholders’ needs, expectations, and demands, as

well as to balance conflicts among them.

Based on the stakeholder theory of strategic manage-

ment, Ullmann (1985) presents a contingency model to

spell out correlations between CSD and three-dimensional

factors. The first dimension of the model, stakeholder

power, explains that the firm will be responsive to the

intensity of stakeholder demands. If social reporting is to

be an effective management strategy for dealing with

stakeholders, a positive relationship between stakeholder

power and CSD is expected. The second dimension is the

firm’s strategic posture toward social demands, which

describes the mode of response of a company’s key deci-

sion-makers to the demands of social reporting. Ullmann

(1985) dichotomizes strategic posture as active or passive.

A company whose management tries to influence their

organization’s status with key stakeholders through

developing deliberate disclosure programs, engaging in

continuous monitoring activities, and institutionalizing

reporting activities (in terms of a dedicated CSD unit and

report) possesses an active posture. Alternatively, if the

company’s management does not address to stakeholder

influences, then it is perceived to possess a passive strategic

posture. Thus, the more active the strategic posture, the

greater the expected CSD.

The model’s third dimension concerns the company’s

past and current economic performance. The financial

resources of the company are an important determinant of

CSD in two ways. First, financial resources determine the

relative weight of social demands and the attention they

receive from top decision-makers. In periods of low prof-

itability and in situations of high debt, the importance

placed on meeting CSD goals may be secondary to meeting

the economic demands that impact directly on a company’s

continued viability. Second, the availability of financial

resources affects the financial capability to undertake

costly disclosure programs related to collecting, measuring,

and auditing data. Therefore, given certain levels of

stakeholder power and strategic posture, the better the

economic performance of a company, the better its CSD.

However, given the constraints imposed by the limited

resources, in meeting the demands of the various stake-

holder groups a company’s manager may not accord all

stakeholders the same level of importance. Different cri-

teria have been suggested as determinants of how and why

managers should allocate priorities to competing stake-

holder demands, and the best way to determine the

appropriate level of management. In defining the stake-

holder–management relationship, Mitchell et al. (1997)

develop a dynamic theory of stakeholder relations and

argue that stakeholder identification and salience are a

function of the stakeholder possessing one or more of the

three relationship attributes: (1) the stakeholder’s power to

influence the firm, (2) the legitimacy of the stakeholder’s

relationship with the firm, and (3) the urgency of the

stakeholder’s claim on the firm.

Regarding the first factor in Mitchell’s specification,

resource dependency theory suggests that power accrues to

those parties who control vital resources for the firm,

thereby creating power differentials among stakeholders

(Pfeffer 1981). Furthermore, a party in a relationship has

power when it has—or can gain access to—a certain

means, such as utilitarian means based on material or

financial resources, to impose its will in the relationship.

For the second factor, a stakeholder group achieves legit-

imacy if it has legitimate claims on the firm, where the

basis of the legitimacy of the relationship may derive from

contract, exchange, legal right, legal title, moral right, or

at-risk status (Hill and Jones 1992). An entity may have a

legitimate claim on the firm, but unless it has either power

to enforce its will in the relationship or a perception that its

claim is urgent, it will not achieve salience for the firm’s

managers. Hence, the third factor, urgency, is related to the

degree to which stakeholder claims call for immediate

action. This factor can be characterized by time sensitivity

(the claims needing to be given immediate attention) and

criticality (the claims being vital and highly important).

Nonetheless, gaining stakeholders’ support and approval

requires a dialogue between the management of a company

and its stakeholders. CSD, which is publicly disclosed

information about a company’s social responsibility, pro-

vides a tool of communication between the firm and its

stakeholders (Dierkes and Antai 1985; Gray et al. 1995;

Neu et al. 1998; Deegan 2002). In this regard, corporate

managers play a unique role in stakeholder relations. They

constitute the group of individuals who make the strategic

decision(s) to allocate the limited resources of the firm in

the manner which they perceive to be most consistent with

stakeholder claims. The relationship factors, power, legit-

imacy, and urgency influence the level of importance a

company attaches to the claims of different stakeholder

groups. The more critical the manager perceives the

stakeholders’ claims to be, the higher the chances that the

stakeholder demands will be addressed. Viewing CSD as a

strategic plan by companies to manage stakeholder rela-

tions, we can expect a positive relationship between the

level and quality of social disclosures and the importance a

company attaches to its stakeholders.

In addition to stakeholder identification, Mitchell et al.

(1997) further generate a typology of stakeholders based on

the possession of one, two, or all three of these attributes

and then prioritize their salience to managers of the firm.

One class of stakeholders, that composed of the dominant

stakeholders, is of particular interest to us in the present

T.-K. Chiu, Y.-H. Wang

123

context. This is the situation where stakeholders are both

powerful and legitimate, and the combination of two

attributes leads the stakeholders to adopt an active stance,

with a corresponding increase in firms’ responsiveness to

the stakeholder’s interests. Thus, we expect that the firm

will have formal mechanisms in place that not only

acknowledge the importance of its relationship with dom-

inant stakeholders but which also constantly monitor the

relationship. For instance, companies that acknowledge the

importance of social reporting demanded by legitimate,

powerful stakeholders may organize a special team to

centralize the data collection system to measure, verify,

collate, and publish such information. Moreover, when

dominant stakeholders acquire the last attribute, urgency,

they will become highly salient stakeholders, and managers

will have an immediate mandate to both attend to and give

priority to that stakeholder’s specific claim.

In applying extant theories to specific regions and

countries, prior studies also stress the importance of taking

a more contextual and nationally contingent approach to

social responsibility (Chapple and Moon 2005; Matten and

Moon 2008). In the present setting, contextual factors, such

as socioeconomic background, political standing, legal

framework, and the tradition of interrelations among dif-

ferent social actors, may determine the power of a stake-

holder group and the legitimacy of its claims, which in turn

affect managers’ response to their relevant stakeholders

through the extent and quality of social disclosures. It is

important to explain the conditions under which managers

do consider certain classes of entities as stakeholder.

Therefore, in the following section we examine the con-

textual factors in Taiwan that could impact the constella-

tion of dominant stakeholders, as well as the nature of the

relationships between firms and these stakeholders. The

dominant stakeholder groups thus identified will be used to

represent stakeholder power in Ullmann’s model (Ullmann

1985).

Social Disclosure in the Taiwanese Context:

Development of Hypotheses

Contextual Factors

Taiwan is one of the leading trading nations in East Asia,

and its economic development is based on a well-devel-

oped education system, a strong research and development

sector, a comparatively sound banking and financial sys-

tem, and a technology-intensive model predominantly

based on small- and medium-sized enterprises (Lau 1994).

The Taiwan has a highly export-led economy and has a

well-developed electronics industry serving as outsourced

vendors for the global IT industry (Sturgeon and Lee

2005). From 2008 to 2012, electronics exports consistently

accounted for 40 % of total exports, and roughly one-half

of the companies listed on the TWSE are from the elec-

tronics industry. 1

However, the country has a long

unsolved issue of national identity with a unique political

status in the world. Taiwan is not admitted into interna-

tional and regional organizations and bodies (such as the

United Nations and the World Bank) in a state capacity

because of China’s resistance to national recognition. This

means that Taiwan is not entitled to sign global agreements

(such as the Kyoto Protocol and trade agreements) and is

thus not constrained by related international regulations.

In terms of domestic regulations, it seems reasonable to

characterize Taiwan as a country of insufficient regulations

and lax enforcement, which in turn implies that the

domestic legislative and regulatory bodies are not an

influential stakeholder group for Taiwanese firms. Legis-

lative paralysis due to continuous bickering between the

camps of the two major political parties (the KMT Party

and the Democratic Progressive Party) in the parliament

has resulted in the shelving of many important laws, of

which the Greenhouse Gas Reduction Act is one. A lack of

effective carbon emission regulations and a failure on the

part of the authorities to fulfill their duties has created a

situation where firms face minimal disclosure requirements

and minimal regulatory pressures from local governments.

The Taiwanese government has also failed to enact

significant legislation relating to corporate governance.

Instead, it has formulated a number of voluntary disclosure

rules, such as the Regulations Governing the Exercise of

Powers by Audit Committee of Public Companies. For

CSR activities in general, the TWSE issued a Code for

CSR practice in 2010, but its application remains on a

‘comply or explain basis.’ Although the Financial Super-

visory Commission encourages public firms to disclose

CSR activities in annual reports, the majority of companies

report their CSR cursorily in a few sentences.

Socially responsible investment (SRI) has recently

emerged as an alternative to the traditional investment

dogma, emphasizing accountability, transparency, and

ethical business practices (Starr 2008; Louche and Ly-

denberg 2010). Institutional investors are viewed as

important drivers of SRI in Europe and the USA (Cox and

Wicks 2011; EUROSIF 2012). However, the stock market

in Taiwan is still dominated by small individual investors

with a low social awareness and limited concern for

1 Electronics exports as a percentage of total exports came to

38.66 % in 2008, 40.50 % in 2009, 41.65 % in 2010, 40.03 % in

2011, and 41.37 % in 2012. These data are website-referenced:

statistical data provided by Director-General of the Office of Budget,

Accounting, and Statistics of Executive Yuan at http://www.dgbas.

gov.tw/ct.asp?xItem=28536&ctNode=3292&mp=1 (Accessed 10 Jan

2013).

Social Disclosure Quality in Taiwan

123

environmental issues, making SRI a rare investment prac-

tice. This can be seen from the continuous shrinking of the

asset volume of the only SRI fund in Taiwan, the Fubon

CSR fund, since its initiation in 2009. Hence, it is rea-

sonable to say that, at least in Taiwan’s local market, SRI

has not been a driver of CSD.

Watchdog groups, including civil society groups and

nongovernmental organizations (NGOs), are often viewed as

important players in the business–society relationship

(Teegen et al. 2004; Chen and Bouvain 2009; Arenas et al.

2009). However, these groups are weak in Taiwan. Con-

sumers and environmental NGOs are largely inactive, using

mild methods with moderate appeals. Of the internationally

leading environmental organizations Greenpeace and

Friends of the Earth, the former has carried out projects in

Taiwan but was unable to bring about any significant

changes to the operating methods of local firms, while the

latter has not established a local branch. As regards the local

Environmental Protection Union, it has only ever appealed

to the government; there is as yet no record of any petition

directed against corporations. Taiwan’s citizens have

established various local environmental organizations, such

as the Green Alliance, to raise awareness of climate change

and promote energy-saving. However, it can be inferred

from their websites and the frequency of updates that very

few activities have been carried out.

Overall, the extent and quality of social disclosure varies

substantially across Taiwanese firms. This wide range in

social disclosure seems to be related to the various degrees

of pressure that firms face from, and the various degrees of

responsiveness that firms display to, influential foreign

stakeholders. For example, the disclosure quality of elec-

tronics firms operating as outsourced vendors for interna-

tional brands is quite satisfactory, particularly in

environmental areas, as they are subject to more stringent

standards and face higher reporting pressure. On the other

hand, disclosure practices in those Taiwanese industries

which have difficulty extending their business overseas and

thus are not yet in line with international standards, such as

the financial sector, are lagging behind.

Specifically, the very first piece of information that pro-

fessional buyers in the global supply chain ask Taiwanese

firms to provide is their answers to, and scores on, the survey

questions of the Carbon Disclosure Project (CDP). CDP is an

international NGO providing a global system for firms to

measure, disclose, manage, and share vital environmental

information, with the goal of ‘[facilitating] a dialogue, sup-

ported by quality information, from which a rational

response to climate change will emerge’ (CDP 2008). The

CDP questionnaires reflect a best practice framework for the

information that companies should measure and report

regarding the impact of climate change on their businesses.

For example, in CDP 6, firms are asked to identify strategic

risks and opportunities, to report actual absolute greenhouse

gas emissions, to compare performance against plans to

reduce emissions, and to elaborate responsibility and man-

agement approach to climate change (CDP 2008).

There are other noneconomic criteria to be met by Tai-

wanese vendors in the global supply chain, such as the Elec-

tronic Industry Code of Conduct and a number of ethical

souring codes of conduct. Moreover, buyers normally request

that potential vendors provide stand-alone CSR reports which

need to follow the disclosure guidelines of the Global

Reporting Initiative (GRI) Institute, the standard-setting

organization for corporate social reporting, with complete and

concrete information on environmental impact, human rights,

employee relations, and product liability. As a result, Tai-

wanese electronics companies like ASUS, LiteOn Group, AU

Optronics, and Wistron all face such pressure and are effec-

tively forced to comply to avoid losing orders.

Prior studies have shown that international capital

markets can be a driver of CSD in emerging economies

(Xiao et al. 2004; Haniffa and Cooke 2005). A large

number of Taiwanese companies are either listed on

international stock exchanges (such as the New York Stock

Exchange) or selected as components of global ethical

indices [such as the Dow Jones Sustainability Index

(DJSI)] to access capital worldwide. Their reporting quality

is superior to that of their counterparts for both ex-ante and

ex-post reasons. Ex-ante, firms with poor disclosure quality

cannot meet the requirements of renowned international

exchanges or pass the screening threshold of global ethical

indices. Taking the DJSI as an example, disclosure quality

is regarded as a precondition for being socially responsible

by SAM, a social rating agency which carries out research

and data gathering in accordance with defined methodol-

ogy to select constituent companies for the DJSI. Firms are

evaluated on the basis of the content, context, and coverage

of the environmental and social reporting included on their

websites and in dedicated reports, such as the CSR reports,

annual reports, and other special publications (SAM 2011).

After being listed or selected, firms will attract more ana-

lyst coverage as well as being subject to higher disclosure

standards; this is the ex-post reason.

Development of Hypotheses

Below, we spell out the explanatory variables and derive

testable hypotheses. There are three stakeholder power

variables, one strategic posture variable, two economic

performance variables, and two control variables.

Stakeholder Power Variables

Ullmann presents stakeholder power as the first dimension

of the model, but provides little guidance on how to

T.-K. Chiu, Y.-H. Wang

123

identify this in reality. Here, we employ Mitchell’s speci-

fication (Mitchell et al. 1997) and argue that there are three

stakeholder groups which should be included in the Tai-

wanese setting. Among the three, two groups possess the

attributes of power and legitimacy, and are thus dominant

stakeholders.

Dominant Stakeholder Group: Buyers in the Global

Supply Chain

When environmental and social concerns become noneco-

nomic criteria in socially responsible organizational buying,

ethical sourcing forms the basis for buyers to select vendors

in the global supply chain (Drumwright 1994). Buyers in the

global supply chain control contracts and orders that may be

necessary for the continued operation of a company. In

particular, large customers and buyers can often influence

corporate behavior through the exercise of bargaining/buy-

ing power in contractual relationships. Among other factors,

such buyers/customers are concerned with working condi-

tions, labor rights, code of conduct, and environmental

issues, all of which have a direct effect on financial perfor-

mance and/or their reputation and, consequently, their own

image (Roberts 2003; Islam and Deegan 2010). They thus

tend to inquire about the ethical corporate practices of their

clients and demand transparency as well as quality reporting.

In the case of Taiwan, buyers in the global supply chain

form a dominant stakeholder group that possesses both

power and legitimacy: the utilitarian power of these buyers

is based on their bargaining strength; their contracts and

orders make their disclosure requests legitimate claims.

The combination of two attributes achieves salience of this

group for the firm’s managers, with a corresponding

increase in their responsiveness to its reporting quality

demands. This results in the following hypothesis:

H1 The quality of CSD tends to be higher in firms

associated with reporting pressure from the global supply

chain.

Dominant Stakeholder Group: Listing and Social

Rating Agencies in International Capital Markets

Freeman (1984) recognized the ability of government to

influence corporate strategy and performance and discussed

the role of legislative bodies as stakeholders whose inter-

ests must be addressed by management. Firms may use

disclosure as a strategy to satisfy government demands and

to reduce the risk of governmental intrusions that may

adversely affect the firm’s value. In the case of firms in

emerging economies with insufficient domestic regula-

tions, as they increase their exposure to international stock

markets, they are likely to change their disclosure practices

in response to the higher standards being imposed (Scott

1994; Chapple and Moon 2005; Haniffa and Cooke 2005).

For Taiwanese companies, regulators in international

capital markets, including listing agencies and social rating

agencies, can be characterized as a dominant stakeholder

group in deference to the legitimate reporting claims they

have upon the listed/selected or to-be listed/selected firms

and their control of a vital resource, capital, as well as their

ability to exercise power. In Mitchell’s typology (Mitchell

et al. 1997), the two-attribute stakeholders expect their

claims to be fulfilled and receive much of managers’

attention, with a corresponding increase in firms’ respon-

siveness to the stakeholder’s interests. Thus, the level of

engagement between management and these dominant

stakeholders is likely to be higher. Accordingly,

H2 The quality of CSD tends to be higher in firms

associated with reporting pressure from international cap-

ital markets.

Influential Stakeholder Group: Shareholders

The degree to which the ownership of company stock is

concentrated in the hands of a few large investors or dis-

persed among many has been proposed as an influence on

disclosure policy (Ullmann 1985; Roberts 1992; Cormier

et al. 2005; Brammer and Pavelin 2008; Gamerschlag et al.

2011). Disperse corporate ownership, especially by inves-

tors with social concerns, heightens the pressure on man-

agers to enhance the extent and quality of CSD. On the

other hand, the responsiveness of firms with a concentrated

ownership structure to the public’s request for information

might be lower, since the controlling shareholders can still

obtain the needed information through special channels,

and this tends to reduce the firm’s incentive to disclose.

Following Ullmann (1985), we include the shareholding

stakeholder group in the disclosure model and hypothesize

that the wider the dispersion of corporate ownership, the

better the quality of social disclosure. Hence, we test the

following hypothesis:

H3 The quality of CSD tends to be higher with increasing

dispersal of share ownership.

Strategic Posture Variable

The firm’s strategic posture toward social reporting

describes its mode of response, which can be characterized

as active or passive. In the case of dominant stakeholders,

the combination of power and legitimacy leads the domi-

nant stakeholders to adopt an active stance, with a corre-

sponding increase in the firm’s responsiveness to the

stakeholder’s interests. A manager trying to influence his

organization’s relationship with these stakeholders may

Social Disclosure Quality in Taiwan

123

take an active posture by developing deliberate disclosure

programs and engaging in continuous monitoring activities.

We may even expect that the firm will institutionalize the

practice by having formal mechanisms in place to measure,

verify, collate, and publish the information. Alternatively,

if the manager does not address the stakeholder influence,

then the firm is perceived to possess a passive strategic

posture. This results in the following hypothesis:

H4 The quality of CSD tends to be higher in firms

associated with a positive strategic posture toward CSD.

Financial Resource Variables: Profit and Leverage

We referred above to the importance of the third dimen-

sion, i.e., the financial resources of the company, in Ull-

mann’s three-dimensional contingency framework

(Ullmann 1985). Several authors have explored the role of

surplus financial resources, or organizational slack, in

determining the firm’s strategies for social disclosure, and

have found that the presence of slack promotes CSD

(Cormier et al. 2005; Brammer and Pavelin 2008; Huang

and Kung 2010). We propose two measures of corporate

financial health for inclusion in this study to test the impact

of prior economic performance on a company’s social

disclosure quality: (1) the company’s profitability and (2)

its leverage. Stakeholder theory predicts a positive asso-

ciation between the company’s profitability and social

disclosure quality, and a negative association between the

company’s leverage and social disclosure quality. We thus

have the following hypotheses:

H5 The quality of CSD tends to be higher with increasing

profitablity of the firm.

H6 The quality of CSD tends to be lower with increasing

leverage of the firm.

Control Variables

Organizational size and visibility are often proposed as firm-

level drivers of social disclosure, and many researchers have

suggested that firm size and media exposure are likely to act

as intervening variables and should be controlled for in

empirical tests (Roberts 1992; Neu et al. 1998; Purushoth-

aman et al. 2000; Brammer and Pavelin 2008; Branco and

Rodrigues 2008; Reverte 2009). Also, arguments can be

made that firm size and visibility represent some aspect(s) of

stakeholder power, strategic posture, and economic

resource. Hence, we include both firm size and media

exposure as control variables and hypothesize that they are

positively related to disclosure quality:

H7 The quality of CSD tends to be higher with increasing

size of the firm.

H8 The quality of CSD tends to be higher with increasing

media exposure of the firm.

Data and Method of Estimation

We use a hand-collected set of specific CSD data. The

sample is based on firms listed on the TWSE, with data

being extracted from these firms’ publicly disclosed

information, including corporate websites, annual reports,

and CSR reports, by means of content analysis. Data on the

underlying firm-specific characteristics are taken from the

Taiwan Economic Journal (TEJ) database.

As of the end of 2010, there were 758 firms listed on the

TWSE. We divide these into three groups based on reve-

nues and randomly select one out of every three firms from

each of the high, medium, and low revenue groups. This

results in 84 firms for each revenue group, with a total of

252 firms. After deleting firms with missing data, we are

left with 82 firms in each group, making the final sample in

this study 246 firms, with a total of 492 firm–year

observations.

Table 1 presents the industries and the number of firms

analyzed in our sample. As noted, our sample is drawn

from a diverse range of industries, including the food and

beverage, textile, automotive manufacturing and steel

industries, among many others, but electronics (122 firms)

accounts for half of the sample analyzed. As of the end of

2010, half of the companies listed on the TWSE were

electronics firms (379/758 firms). By this yardstick, the

sample analyzed is broadly representative.

In 2010 and 2011, only 40 and 39 sample firms,

respectively, published separate CSR reports. Of those

firms not issuing reports, a number published CSR sections

on company websites, but others lacked any coverage at

all. As listed companies are required to issue annual reports

and financial reports, all sample firms provided such data.

We use 31 December of each year as the cutoff date for

data, as firms issue CSR reports for the previous year in the

latter half of the year.

Dependent Variables: CSD Quality

Empirical study of the determinants of disclosure quality

requires the use of a suitable method for measuring quality,

or the quantification of the qualitative. CSD studies often

employ a form of conceptual content analysis of disclosed

information whereby the existence or incidence of a partic-

ular predetermined concept is recorded and analyzed

(Krippendorf 2004). This technique has been widely used to

assess the extent of disclosure (e.g., Gray et al. 1995) and

includes the counting of words, sentences, and proportion of

pages, depending on the unit of analysis. However, it should

T.-K. Chiu, Y.-H. Wang

123

be noted that the quality of disclosure and the extent of dis-

closure may not be equal measures of quality. Extent often

refers to the amount, but lengthy reporting may contain

irrelevant information or use misleading words, resulting in

incomplete or poor quality disclosure.

This paper focuses on CSD quality and extends the

analyses of published studies (Cormier et al. 2005; Van der

Laan Smith et al. 2005; Brammer and Pavelin 2008). We

keep the quality concept in line with content analysis (e.g.,

Deegan and Gordon 1996; Patten 2002) as well as the

reporting requirements of the GRI Institute as specified in

guidelines G3-1 (Global Reporting Initiative 2011). Here,

standard disclosure covers strategy and profile, manage-

ment approach, and performance indicators, as organiza-

tions are required to disclose policies and goals, describe

initiatives, quantify impacts of operation, report progress,

and present external assessment.

We use a coding scale to quantify the quality of infor-

mation and provide justifications, as follows. First, while

many other disclosure studies focus on the amount of

disclosure, we employ a ‘qualitative scale’ to ensure that

irrelevant or redundant information is not considered.

Second, information from a firm’s CSR reports, annual

reports, and websites is read and analyzed to arrive at a

comprehensive disclosure quality score. This process

allows for the integration of various types of information

into a single score to facilitate cross-firm comparison.

From the aforementioned contextual factors it is clear

that, as Taiwanese firms move from the local to the global

environment, the type of social reporting required by pro-

fessional buyers in the supply chain and listing agencies in

international capital markets is pro-active, timely, concrete,

accurate, and verifiable. This justifies our use of the qual-

ity—rather than the extent-of disclosure as the focus of

analysis. Hence, disclosure quality, the dependent variable

in the model, is measured by an index score. Five facets of

quality are considered, including the firm’s disclosure

of CSR policies, goals, and initiatives, quantification of

impact and reporting of progress, and presentation of

external certificates and audits.

The index score is obtained from data elements gener-

ated from a set of survey questions in line with the inter-

national trends on social reporting, so that the differences

in reporting the quality of firms with various degree of

pressure from, and various degree of responsiveness to, the

international environment can be better contrasted. For this

purpose, we use the well-known 100 Best Corporate Citi-

zens (or 100 Best) rating and re-interpret this as a ‘dis-

closure rating.’ 2

100 Best is a CSR rating of U.S. firms by

CR magazine, in which the best 100 CSR performers from

the Russell 1000 index are cited. Being guided by the

American Corporate Responsibility Officers Association

(CROA), its Methodology Committee includes a wide

range of experts and is thus highly respected (Brammer

et al. 2009; SustainAbility 2010; Scalet and Kelly 2010). 3

The method is rigorous and objective, as it is announced

openly on the magazine’s website, and the survey questions

reflect the CSR practices of industrialized countries and the

related disclosure trends.

The data are generated from survey questions on several

CSR categories. Data in each category fall into one of the

following three subcategories: policy, disclosure, and per-

formance. After our amendments and re-interpretation, the

2 For details on how to construct a corporate social performance

database based on the methodology and survey questions of the 100

Best, please see Chiu (2014). This paper also explains why part of the

data thus obtained can be reinterpreted as CSD data. 3

Information on the methodology and protocols for 2012 can be

found at the following URL: http://www.thecro.com/files/CR%

20Magazine%20Corporate%20Citizen%20Methodology%202012.

pdf and http://www.thecro.com/files/CR%20Corporate%20Citizen

ship%20Protocol,%202012.pdf. Accessed 10 Jan 2013).

Table 1 Sample description

Sample size

Number of firms initially included in the analysis (randomly

selected from 758 firms listed on the TWSE in 2010)

252

Less firms lacking data 6

Total number of firms included in the final analysis 246

Industry-wide distribution a

Food & beverage 8

Plastics 7

Textiles 14

Electrical equipment & machinery 12

Electronics b

122

Chemical 7

Glass & ceramics 1

Steel 10

Rubber 4

Automotive 1

Construction & materials 13

Biotech & healthcare 5

Transportation & logistics 8

Oil & gas 5

Finance & insurance 12

Trading 4

Tourism 1

Others 12

a The industry affiliation recorded in the Taiwan Economic Journal

(TEJ) data based follows the industrial classification of the Taiwan

Stock Exchange (TWSE) with minor revisions b

The electronics industry includes semiconductors, electronic com-

ponents, computer and peripherals such as IT (telecommunications,

and optoelectronics)

Social Disclosure Quality in Taiwan

123

data used in this study come from a set of 291 questions

(items) covering five facets of disclosure quality: policy,

target, initiative, progress, and external certificates and

audits. Table 2 presents the six CSD categories, climate

change abatement, employee relations, environmental

impact, corporate governance, human rights, and philan-

thropy, the five quality facets for each category, and the

number of survey questions for each facet in a given cat-

egory. The Appendix provides the details of the amend-

ments and a set of sample questions.

There are several points to note from Table 2. First, no

questions on policies, goals, or certificates are asked in the

category of corporate governance and employee relations.

This absence is due to the obvious reasons that most

countries have established mandatory rules in these areas

and required firms to set up relevant systems, implying that

questions on ‘voluntary’ certification are irrelevant. Sec-

ond, in terms of employee relations, most states drew up

detailed rules and regulations long ago, so the questions

focus on voluntary initiatives rather than on the required

corporate policies and goals. Third, the focus with respect

to philanthropy is on policy, as the voluntary nature of

philanthropic deeds makes ‘certificates and audits’ inap-

propriate. Fourth, the category of climate change abate-

ment has no questions on ‘certificates and audits’ for

similar reasons.

To enhance the reliability of the measurements, we

followed previous studies and trained two groups of

assistants and asked them to calculate CSD scores sepa-

rately (Cormier et al. 2005). The training includes clarifi-

cation of the questions, explanation of related regulations,

and deciphering of the CSR reports. Reliability tests indi-

cate that the between-group average variance is lower than

1 %, which shows a strong scoring consistency.

Before analyzing the potential determinants of CSD, we

need to look at the general disclosure conditions in Taiwan.

Table 3 reports the survey results of the six disclosure

categories for 2010 and 2011. As the results illustrate,

social disclosure of Taiwanese firms is unsatisfactory; on

average, firms can only answer about 15 % of the 291

questions, with the best responder disclosing 164 data

elements in 2011 and the worst 22 in 2010. Among the

various categories of CSD, the categories of ‘climate

change abatement’ and ‘environmental impact’ have a

quite poor disclosure rate, with an average of 6 or 7 %, as

well as a wide cross-firm variation. In contrast, social

disclosure on ‘employee relations’ is much better with an

average reporting rate of approximately 40 %. The results

are consistent with previous findings: environmental reg-

ulations and stakeholder scrutiny in emerging countries are

insufficient, resulting in sub-par disclosure. In contrast,

firms are quite skilled in managing employee relations, and

disclosure certainly reflects this. Moreover, countries in the

early stage of CSD development tend to attach more

importance to employee relations (Chapple and Moon

2005; Khan et al. 2013), with environmental disclosure

being not only brief, but also full of vague language and

broad terms (Haniffa and Cooke 2005; De Villier and Van

Staden 2006; Mahadeo et al. 2011).

The result for ‘philanthropy’ is counter-intuitive as only

an average of two items are disclosed out of eight in that

category. This seems to run contrary to the large volume of

information on philanthropic activities, such as holding

cultural, volunteer, and disaster relief activities, as released

on company websites and CSR reports. The international

mainstream practice is to ‘integrate charitable activities

into a firm’s core businesses, and provide relevant products

and services,’ and a disparity between the awareness of

such activities by Taiwanese firms and the mainstream

does exist. For example, none of the key performance

indicators in the GRI G3-1 is related to ‘philanthropy’

(Global Reporting Initiative 2011), and the survey ques-

tions of the 100 Best mainly focus on philanthropic policy.

Taiwanese firms, however, have not updated their prac-

tices, and their out-dated concepts as well as lack of policy

formulation at the organizational level all result in poor

disclosure quality in this category.

Regarding corporate governance, firms on average could

only answer 0.15 questions in 2010, but the number

increased to 1.01 in 2011. This is due to the fact that a

number of firms set up independent audit committee or

compensation committee in 2011, driving up the disclosure

rate in this category. As regards environmental impact and

climate change, we note that these are the poorest disclo-

sure areas. The high carbon emissions as well as poor

corporate reporting of related policies and goals reflect the

insufficiency of the governmental regulations in Taiwan as

Table 2 Corporate social disclosure categories, quality facets, and number of questions

Facet Category a

CC ER EN CG HR PH

Policies 18 0 19 0 27 8

Goals 1 0 1 0 1 0

Initiatives 2 45 18 6 3 0

Progress reports 36 14 76 0 5 0

Certificates and audits 0 0 10 0 1 0

Total number of

questions

57 59 124 6 37 8

% (of total of 291

questions)

19.59 20.28 42.61 2.06 12.71 2.75

a Categories: CC, Climate change abatement; ER, employee rela-

tions, EN, environmental impact; CG, corporate governance; HR,

human rights; PH, philanthropy

T.-K. Chiu, Y.-H. Wang

123

well as their poor enforcement. Good scores seem to be

driven by disclosure demands from foreign stakeholder

groups. A few firms have made significant improvements

in environmental disclosure from 2010 to 2011, which is

reflected in the substantial increase in the maximum scores

obtained.

Measurement of Independent Variables

With some ideas about social disclosure in Taiwan, we are

now in a position to examine the potential determinants of

CSD quality. Data are either taken from the TEJ or

extracted from firms’ annual reports, with variables being

measured as follows: firm size is measured by total assets,

financial leverage by the long-term debt-to-equity ratio,

corporate profits by return on assets, and deviations from

ownership by the percentage of controlling shareholding

divided by earning distribution ratio. As regards firm

exposure, we use the incidence of news media coverage of

the firm as a measure, calculated as the average number of

times the respective firm was reported in Taiwan’s two

best-selling newspapers (United Daily News and China

Times). For reporting pressure from international capital

markets on CSD quality, we use a binary dummy variable

(1 for yes, 0 for no) to indicate whether the company

possesses an international listing status or is a constituent

on a global ethical index, as a measure of the firm’s dis-

closure pressure in foreign capital markets.

The measure of buyers in the global supply chain as a

dominant stakeholder group is difficult to operationalize.

Previous studies have used advertising fees as a variable to

represent the strength of customer relations (Huang and

Kung 2010). This variable is not suitable in our setting as,

firstly, we are more concerned with demands from orga-

nizational buyers than from individual consumers, and,

secondly, firms’ fee data are internal and therefore hard to

obtain. However, from the perspective of Taiwanese firms,

we can use the electronics industry as a measure to reflect

the perceived strength of regulatory pressure imposed by

the global supply chain on CSD quality.

This measure also serves an additional function: prior

studies have shown that the nature of business activities or

industry affiliation (high or low environmental impact) can

affect a firm’s disclosure practice. Therefore this infor-

mation needs to be either controlled as an intervening

variable or included as an explanatory variable, depending

on the theoretical framework (Deegan and Gordon 1996;

Patten 2002; Brammer and Pavelin 2008; Gamerschlag

et al. 2011). As defined by Taiwan’s Bureau of Energy

based on the country’s level of industrialization with its

corresponding industrial structure, the four high environ-

mental-impact industries are electronics, paper and pulp,

chemical materials, and non-metallic minerals. 4

However,

the electronics industry and high environmental-impact

industries are highly correlated and, therefore, to include

the former as an explanatory variable and the latter as a

control variable in the same model may result in significant

Table 3 Survey results of the six disclosure categories (2010,

2011)

Disclosure categories Maximum

(N)

Minimum

(N)

Mean

(N)

Median

(N)

Mean/total

questions (%)

Year: 2010

Climate change abatement: 57 questions 38 0 4.12 0 7.23

Environmental impact: 124 questions 51 0 7.67 3 6.19

Employee relations: 59 questions 41 16 23.43 23 39.71

Human rights: 37 questions 15 3 3.88 3 10.49

Corporate governance: 6 questions 2 0 0.15 0 2.50

Philanthropy: 8 questions 2 0 1.89 2 23.63

Total: 291 questions 132 22 41.13 31.00 14.13

Year: 2011

Climate change abatement: 57 questions 42 0 4.43 0 7.77

Environmental impact: 124 questions 77 0 8.84 3 7.13

Employee relations: 59 questions 43 17 24.55 24 41.61

Human rights: 37 questions 16 3 5.27 4 14.24

Corporate governance: 6 questions 2 0 1.01 1 16.83

Philanthropy: 8 questions 4 0 1.81 2 22.63

Total: 291 questions 164 24 45.91 34 15.78

4 The definition is based on the 2009 Energy Statistics Handbook

released by the Bureau of Energy of the Taiwanese Ministry of

Economic Affairs (page 18, note 1). The energy consumption of these

four industries accounts for 65 % of the total for all manufacturing

industries in Taiwan.

Social Disclosure Quality in Taiwan

123

statistical difficulties. As the electronics industry is the

most internationally exposed among the four, and the one

most expected to enhance disclosure quality, we have

selected this industry as a proxy for the strength of

reporting pressure from the global supply chain, which

suffices to fulfil the aforementioned function as well.

As to a proxy for the strategic posture variable, previous

studies have used philanthropic activities (Roberts 1992;

Muller and Kräussl 2011), public affair officers (Roberts

1992), or press releases (Magness 2006). In our model,

when dominant stakeholders are seen as expecting dedi-

cated reporting, a company with active strategic posture

would set up a formal department or organize a special-

purpose team to engage in the continuous measuring,

verifying, collating, and publishing of such information.

For companies which have independent CSR departments

in place, the handling deliberate disclosure programs is

often part of the departmental function. Moreover, we

distinguish those that use the relatively traditional philan-

thropic mode from those that better institutionalize and

embed the ways in which their CSR is employed. In this

sense, a positive posture is only captured by the existence

of independent CSR departments or special-purpose teams,

but not by company philanthropic foundations which

mostly focus on cultural and educational activities in the

Taiwanese setting. Data on the firms’ strategic posture are

taken from the annual reports.

Regression Model

The statistical analysis in this study includes the use of

linear regression models to analyze the relationship

between CSD index scores and the influencing factors

referred to in the previous section, including three stake-

holder power variables, one strategic posture variable, two

economic resource variables, and two control variables.

The dependent variables are the four quality index scores:

total disclosure (TOTD), climate change abatement and

environmental disclosure (CCEND), employee relations

disclosure (ERD), and human rights disclosure (HRD).

They should be read together with Table 4, where CCEND

is the sum of ‘climate change abatement’ and ‘environ-

mental impact’, and the other three are self-explanatory.

Table 4 Description of variables, expected signs, and data sources

Variable (expected sign) Description Data source

Dependent variable

TOTD Total disclosure Hand collected

CCEND Climate change abatement and environmental impact disclosure Hand collected

ERD Employee relations disclosure Hand collected

HRD Human rights disclosure Hand collected

Independent variable

Stakeholder power

Sup (?) Using the electronics industry as a measure to capture the impact

of the global supply chain on CSD quality: 1 = yes,

0 = otherwise

TEJ

Cap (?) Using foreign listing or global ethical index component as a

measure to capture the impact of international capital markets on

CSD quality: 1 = yes, 0 = otherwise

Annual reports

Own (?) Deviations from ownership (percentage of controlling shares

divided by earning distribution ratio)

TEJ

Strategic posture

Dept (?) Existence of an independent CSR department or a special-purpose

team: 1 = yes, 0 = otherwise

Annual reports

Economic resource

Prof (?) ROA, measured as ratio of income (after taxes before interests) to

total assets

TEJ

Lev (-) Ratio of debt to net worth TEJ

Control variable

Size (?) Total assets TEJ

Media (?) The average number of instances of being reported in Taiwan’s

two leading newspapers

United Daily News

and China Times

CSD corporate social disclosure, CSR corporate social responsibility, ROA return on assets, TEJ Taiwan Economic Journal

T.-K. Chiu, Y.-H. Wang

123

Throughout our analysis, we introduce a 1-year lag

between the dependent and independent variables, i.e.,

disclosure quality in 2010 and 2011 is determined by

stakeholder power, strategic posture, economic resources,

as well as control variables in 2009 and 2010, respectively.

This lag exists due to the dynamic nature of strategic

planning, the focus of stakeholder theory on meeting the

long-term interests of stakeholders, and the empirical

findings of several previous studies (Roberts 1992; Bram-

mer and Pavelin 2008).

To test the hypotheses, our full model specifications

have the following structure:

Disi;t ¼b0 þ b1Supt�1 þ b2Capt�1 þ b3Ownt�1 þ b4Deptt�1 þ b5Proft�1 þ b6Levt�1 þ b7Sizet�1 þ b8Mediat�1 þ et

where Disi is the ith disclosure quality index score, Sup is a

binary dummy variable for pressure from the global supply

chain, Cap is a binary dummy variable for pressure from

international capital markets, Own is stockholder power,

Dept is a binary variable for the firm’s strategic posture,

Prof is profits, Lev is financial leverage, Size is firm size,

and Media is media exposure. Table 4 presents the various

explanatory variables, expected signs, and data sources.

Analysis of Empirical Results

Before turning to the regression analysis, upon which we

base our hypothesis tests, we present, in Table 5, descrip-

tive statistics of the variables in our study based on 492

firm–year observations. As can be seen from the average,

maximum, and minimum number of items disclosed by

firms, disclosure quality is poor in general with large dif-

ferences across firms. Using TOTD to illustrate, reporting

is poor when the data show large variations: on average

they disclose 43.53 items (14.96 %) out of the total 291

questions; the best performer discloses 174 items

(59.79 %), and the worst 22 items (7.56 %). The result

should be representative, since the sample analyzed con-

sists of firms of various sizes.

Among the descriptive statistics, the mean of Sup indi-

cates that 50 % of sample companies are under reporting

pressures from buyers in the global supply chain. The mean

of Cap illustrates that 12 % of the companies sampled that

have to cope with reporting requirements from interna-

tional capital markets face more stringent standards than

local ones. As regards the strategic posture variable, Dept,

its mean shows that 13 % of sample companies exhibit a

positive strategic posture toward CSD by having formal

mechanisms in place. The skewness and kurtosis indices

and Kolmogorow–Smirnov normality tests (or K–S Lil-

liefors) indicate that our data for continuous independent

variables are not normally distributed. As such, following

previous studies, we use Van der Waerden transformation

to convert them to normal scores before conducting the

regression analysis (see, for example, Haniffa and Cooke

2005; Mahadeo et al. 2011). Also, relative to other inde-

pendent variables, the numerical values for firm size are

huge, which might cause excessive impacts on the overall

estimation results. To avoid this possibility, we use the

natural logarithm of the variable in the regression.

Table 6 presents the bivariate correlations between the

dependent variables, the four disclosure index scores

(TOTD, CCEND, ERD, and HRD), and the independent

variables. With the exception of the economic resource

variables Prof and Lev, all bivariate correlations between

disclosure quality indices and the independent variables

possess the expected sign, indicating that the related

hypotheses will be supported. The stakeholder power

variables Sup, Cap, and Own, the strategic posture variable

Table 5 Descriptive statistics of dependent and independent

variables

*** Significance is \ 0.01 according to the Kolmogorow–

Smirnov (K–S Lilliefors) test

for normality, therefore the data

are not normally distributed a

See Table 4 for a complete

description of the variables

Independent and

dependent variables a

Mean Standard

deviation

Minimum Maximum Skewness Kurtosis K–S

(Lilliefors)

TOTD 43.53 27.90 22 174 2.19 4.00 0.33***

CCEND 12.53 21.84 0 117 2.28 4.43 0.35***

ERD 23.99 4.15 16 43 1.21 2.11 0.17***

HRD 4.58 2.92 3 16 2.37 4.83 0.38***

Sup 0.50 0.46 0 1 -0.85 -1.28 0.44***

Cap 0.12 0.32 0 1 2.38 3.67 0.53***

Own 2.49 4.79 0 50.44 6.21 48.78 0.38***

Dept 0.13 0.34 0 1 2.21 2.88 0.52***

Prof 5.66 9.06 -34.82 85.76 1.18 15.11 0.12***

Lev 147.76 377.63 2.33 4376.57 5.77 42.61 0.36***

Size (1b NT) 100.24 424.48 0.13 5005.40 7.65 70.98 0.41***

Media 26.72 77.45 0 568 4.33 20.30 0.38***

Social Disclosure Quality in Taiwan

123

Dept, and the control variables Size and Media are all

significantly correlated with the dependent variables. For

the economic resource variables Prof and Lev, some of the

correlations with the dependent variables possess the

expected sign, such as that between TOTD and Lev

(q = -0.026), but some do not, such as the one between HRD and Prof (q = -0.023). A number of other correla- tions are also significant at the 1 % level, such as those

between Size and Media (q = 0.401) and Prof and Lev (q = -0.181). However, none of the variance inflation factors exceed the critical value of 10, indicating that

multicollinearity is not a problem in our study.

In discussing our regression results relating to the

determinants of CSD, we begin with the full model spec-

ification before presenting the model that omits the stra-

tegic posture variable Dept. We do so to aid comparison

with previous studies deploying a stakeholder framework

that made such omission (Van der Laan Smith et al. 2005;

Huang and Kung 2010).

Table 7 reports the results across the four index scores

for CSD quality. For the full model specification, when

considered individually from any disclosure quality index,

TOTD, CCEND, ERD, or HRD, the signs of the estimated

coefficients are all in line with our expectations: disclosure

quality is positively related to the three stakeholder power

variables Sup (b1), Cap (b2), and Own (b3), positively related to the strategic posture variable Dept (b4), posi- tively related to the economic resource variable Prof (b5), negatively related to the other economic resource variable

Lev (b6), and positively related to the two control variables Size (b7) and Media (b8). Although they have the expected signs, some estimates remain statistically insignificant. For

instance, using the full model with the dependent variable

TOTD, the three stakeholder power variables, the one

strategic posture variable, and the two control variables are

all significant at either the 1 or 5 % level, but the two

economic resource variables Prof and Lev are insignificant.

Specifically, for the first dominant stakeholder group,

i.e., buyers in the global supply chain, we find a significant

link to all four disclosure indices. This complements the

previous empirical finding that pressure from international

buyers is a crucial factor for CSD (Roberts 2003; Islam and

Deegan 2010; Khan et al. 2013). For the other dominant

stakeholder group, i.e., listing or social rating agencies in

international capital markets, the same significant link is

also found. Given that prior research views access to

international capital markets as a driver of corporate

reporting (Scott 1994; Cormier and Magnan 2003; Cormier

et al. 2005; Haniffa and Cooke 2005; Reverte 2009;

Gamerschlag et al. 2011), this finding suggests that Tai-

wanese firms confronted with more intense disclosure

requirements are more likely to enhance the quality of their

CSD. For both dominant stakeholder groups, the fit of theT a

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T.-K. Chiu, Y.-H. Wang

123

hypothesized relationship seems to mean that the posses-

sion of two attributes, power and legitimacy, assures that

expectations on reporting quality will be met, resulting in a

significant association between their salience and disclo-

sure quality.

However, for shareholding stakeholders, the positive

hypothesized effect of ownership dispersion on disclosure

quality is restricted to three quality indices only: TOTD,

CCEND, and ERD. It would not appear that having greater

ownership dispersion makes a Taiwanese firm more likely

to enhance disclosure quality in human rights issues

(q = 0.35). This may indicate that the shareholding stakeholders only have a moderate concern for human

rights issues, and a fit with the hypothesized relationship

would require the concern to be stronger.

For the strategic posture variable Dept, we find a sig-

nificant link to all four disclosure quality indices. The

significance of the variable seems to indicate that corporate

institutionalization of social disclosure by having some

formal mechanisms in place, such as a special-purpose

team responsible for collecting data, measuring perfor-

mance, and publishing dedicated reports, leads a firm to

have a better disclosure quality. The positive association

holds not only for total disclosure but also for other dis-

closure categories as well. The result is consistent with

previous findings related to CSR practice in general

(Roberts 1992; Chapple and Moon 2005).

For the two economic resource variables, our findings

provide limited support for the hypotheses that firms

exhibiting relatively strong economic performance in prior

periods, as measured by higher returns on equity (Prof) and

lower debt-to-equity ratios (Lev), are more likely to have

better disclosure quality. The insignificant link that we found

between TOTD and Prof (q = 0.57) or between TOTD and Lev (q = 0.17) seems to mean that organizational slack is not a compelling factor in determining firms’ strategies for

disclosure quality. The firm’s strategic decision on reporting

quality may be influenced by a variety of factors; a fit with the

hypothesized relationship between TOTD and economic

performance would require the association to be stronger so

that some other factors would be depressed. Our results on

the link between CSD and financial performance are con-

sistent with earlier evidence that either an insignificant link

or a reverse association is present (e.g., Reverte 2009;

Branco and Rodrigues 2008).

As regards the control variables, our results support the

suggestions that firm size and media exposure may act as

intervening variables in empirical tests focusing on CSD

(e.g., Purushothaman et al. 2000; Branco and Rodrigues

2008; Reverte 2009). These findings may be explained in

part by the arguments that size and firm visibility are

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Social Disclosure Quality in Taiwan

123

The F values of the full models are all significant at 1 %

level, as illustrated by the model F, with 98.66 for the

dependent variable TOTD and 85.95 for CCEND. These

results indicate that our models have very good fits. As for

R 2

values, the explanatory variables combined can explain

62, 59, 51, and 50 %, of the total variation of TOTD,

CCEND, ERD, and HRD, respectively.

Moving from the full to the partial model in which the

strategic posture variable Dept is omitted, the results show

some similarities, but also some differences. First, similar

to the full model, for any disclosure index in the partial

model, stakeholder power variables Sup and Cap, and

control variables Size and Media are all significant at either

the 1 or 5 % level. Second, in contrast to the full model,

when we omit Dept, the economic resource variable Prof

has a significant positive effect on the disclosure quality of

ERD (q = 0.05) as well as on HRD (q = 0.06). Third, the most noticeable difference between the full and partial

model is the F values, with the values dropping signifi-

cantly in the partial model. For example, for the model

with dependent variable TOTD, F drops from 98.66 in the

full model to 62.06 in the partial model. This large drop in

the F value seems to indicate that the full model is a better

specification than the partial one. Further, moving from the

full to the partial model, the R 2

values also drop quite a bit,

which reinforces the findings for the F values, indicating

that the strategic posture variable Dept is an important

determinant of social disclosure quality in Taiwan.

The results of the empirical tests are of interest for

several reasons. First, the significance of the model pro-

vides evidence that stakeholder theory is an appropriate

foundation for empirical analyses of CSD quality in Tai-

wan. Second, the overall findings support the contingency

framework developed by Ullmann (1985), which occupies

an important place in CSD research. Third, the results

complement Mitchell’s specification (Mitchell et al. 1997)

that a combination of power and legitimacy helps to

identify the dominant stakeholder groups in the Taiwanese

setting. Fourth, the results support the argument that cur-

rent period levels of CSD relate to prior period measures of

stakeholder power, strategic posture toward CSD, and

economic resources. Also, the significance of the individ-

ual variables supports arguments regarding links between

CSD and the specific empirical measures employed in this

study.

Conclusion

This paper examined the voluntary social reporting of an

Asian emerging economy, Taiwan, analyzed the potential

determinants of disclosure quality, and interpreted the

empirical results based on a stakeholder theory framework.

In applying extant theories to the Taiwanese setting, we

took a contextually contingent approach to determine two

dominant stakeholder groups who possess power and

legitimacy and thereby influenced managers’ responsive-

ness to their transparency demands through the quality of

social disclosure. Our analysis distinguished between a

number of quality facets in a variety of disclosure areas,

with an emphasis on the extent to which CSD is compre-

hensive, reliable, and forward-looking. Using a sample of

246 listed companies and a hand-collected dataset con-

taining 2 years of data based on the survey questions of the

renowned 100 Best Corporate Citizens to reflect ongoing

international disclosure trends, we analyzed how reporting

practice is related to stakeholder power, the firm’s strategic

posture toward CSD, economic resources, and control

variables.

We find that the disclosure quality of Taiwanese firms is

generally unsatisfactory, being particularly inferior in areas

related to environmental impact and climate change

abatement. Such inadequacy is due to insufficient legisla-

tion and lax enforcement of existing regulations. The

reporting quality of firms seems to be influenced by three

stakeholder power variables, one strategic posture variable,

and two economic resource variables, as well as the two

intervening variables. However, our findings also demon-

strate a high variability across firms. While active domestic

scrutiny bodies and regulations are lacking, firms con-

fronted with more intense disclosure requirements either

from organizational buyers in the global supply chain or

listing agencies in international capital market are more

likely to enhance the quality of CSD. Those who do not

face disclosure pressures from the foreign institutional

environment do not respond.

This study contributes to the literature on CSD in the

following ways. First, it adds to the scarce evidence on

social reporting in Taiwan. Second, we provide a useful

method for evaluating reported quality, which reflects

whether a firm’s disclosure discusses CSR policies, goals,

initiatives, progress, and audits. Third, the analysis draws

upon a quite large sample from a diverse range of industrial

sectors and uses a variety of information sources, thus

permitting a comprehensive exploration of the impact of

firm and industry characteristics upon disclosure quality.

Fourth, we illustrate the impact of two dominant stake-

holder groups, buyers in the global supply chain and listing

agencies in international capital markets, on voluntary

social disclosure, in an emerging country with insufficient

local laws and weak civil society scrutiny.

This paper suffers from limitations that could be

addressed in future work. First, we apply an aggregate

measure of quality with five facets to the voluntary dis-

closures made by the sample companies. An alternative

approach would be an independent focus on each

T.-K. Chiu, Y.-H. Wang

123

individual indicator of quality. This latter approach would

permit insight into whether the facets are complements or

substitutes, as well as reveal the extent to which each is

associated with a particular influential stakeholder group,

mode of strategic posture, or form of economic resource.

Secondly, although we introduce time through the use of a

simple 1-year lag structure and 2 years of data, our analysis

remains cross-sectional in nature. The quality of the study

would benefit were more years of data available, since

longitudinal analysis would help to shed light on the

evolving pattern of disclosure quality of Taiwanese firms

(Haniffa and Cooke 2005; Gamerschlag et al. 2011; Ma-

hadeo et al. 2011). Third, compared to industrial nations in

Europe and the USA, the environmental laws of Taiwan are

clearly lagging behind. This means that international dis-

closure requirements take precedence over domestic ones

for globalized Taiwanese firms. This paper uses ‘interna-

tional listing’ as the test. Future studies could add other

variables, such as firms’ environmental penalties, to see if

these potentially affect corporate environmental reporting.

Finally, many studies have stressed the importance of

culture on corporate disclosure (Chapple and Moon 2005;

Haniffa and Cooke 2005; Van der Laan Smith et al. 2005)

and searched for appropriate variables to measure the

abstract dimensions of culture. We stress the importance of

macro factors, but an in-depth analysis is beyond the scope

of this paper. Further analysis is needed to explore the

influence that cultural characteristics have on voluntary

disclosure in Taiwan.

Appendix

The 100 Best Corporate Citizens (100 Best ) has been

compiled once a year since 2000 to advance corporate

accountability and responsibility. Being advised and guided

by the CROA Methodology Committee (composed of a

cross-section of CSR experts, including practitioners, aca-

demics, NGOs, and investment firms), the rating reflects the

view of the professional community in relation to global

CSR trends. The methodology is objective and quantitatively

oriented, and the change is evolutionary in that the Com-

mittee has set itself the target of evolving the metrics for one

category each year to facilitate meaningful year-over-year

comparisons. Details of the methodology, reasons for

amendments and survey questions are announced on CR

magazine’s website for public review.

The 100 Best 2012 encompasses 318 data elements

(from 318 questions) spread across seven categories. Data

in each category fall into one of three dimensions: policy,

disclosure, and performance. The categories, data elements

per category, and their respective weights are climate

change abatement (CC), 59 (16.5 %); environmental

impact (EN), 130 (19.5 %); employee relations (ER), 64

(19.5 %); human rights (HR), 39 (16 %); philanthropy

(PH), 9 (9 %); corporate governance (CG), 9 (7 %);

financial performance (F), 8 (12.5 %). The methodology

weighs the seven categories differently to account for dif-

ferent relative values. For example, ‘environment’ and

‘climate change’ together have a total of 189 data elements

and represent 36 % of the rating; these two categories

reflect the increasing emphasis on managing the costs

associated with environmental impact and climate change,

including the imminent pricing of carbon. In contrast,

categories with fewer questions and lower weight are

formed for two reasons. First, mandatory activities and

compliance cannot be used as a major differentiator among

companies, so only nine data elements on corporate gov-

ernance are included in the rating. Second, if the Com-

mittee considered that certain activities are no longer part

of the mainstream practice of CSR, then it would not

include too many related questions. For example, ‘check-

book philanthropy’ has become an outdated practice, and

this explains why ‘philanthropy’ only has nine data ele-

ments with a focus on policy to judge the comprehen-

siveness of the firm’s CSR management system.

The original 100 Best is a CSR rating, rather than a CSD

rating. It covers the three dimensions on policy, disclosure

and performance for obvious reasons. Firms should define

their CSR activities, establish policy, set up development

goals, and determine their scope of application. Then they

need to disclose related information, including reporting on

progress towards goals, and the environmental and social

impacts of their operations. Finally, based on the actual

CSR performance, cross-firm comparisons are made, with a

ranking.

As our study focuses on CSD, the questions of the 100

Best have to be re-interpreted, mainly in the ‘policy’ and

‘performance’ dimensions. To this end, we have done two

modifications. First, the original questions on the policy

dimension of the 100 Best are concerned with policy for-

mulated by the firm in the areas of climate change abate-

ment, environmental impact, and philanthropy, and this

approach involves policy content, implementation and

scope of application. We interpret these policy questions

into ‘disclosure’, because corporate policies should be

openly disclosed. This interpretation can help achieve the

aims of this study. Second, the original questions on per-

formance of the 100 Best use other publicly available

sources of information (such as the paid database Corpo-

rate Library and Morningstar) to make cross-firm com-

parisons. As performance ranking is not linked to the aims

of this paper, we removed all of the performance questions,

including questions on financial performance. Removal of

the finance questions does not affect the results of our

study, as they (such as the current ratio) fall under

Social Disclosure Quality in Taiwan

123

mandatory disclosure. The re-interpretations and amend-

ments will not alter the essence of the 100 Best, since

disclosure has been the most significant part of the original

evaluation. After these changes, the remaining data ele-

ments (obtained from questions) in each category are: cli-

mate change abatement, 57; environment, 124; employee

relations, 59; human rights, 37; philanthropy, 8; and cor-

porate governance, 6. A total number of 291 questions are

used in our study to obtain data to assess CSD quality.

Data of the 100 Best are of two types: true/false for the

policy and disclosure questions, and numerical for the

performance questions. ‘True’ counts as one point; ‘False’

and blank fields count as zero point. Numerical values

(from performance questions) are compared with the

numerical answers of all other firms in order to generate a

ranking. Our re-interpretations and amendments do not

affect the data type for the policy and disclosure questions,

data for which are still of the binary type: if firms formu-

lated policy or disclosed information, they score 1; other-

wise 0. We attach the same weight to each of the remaining

six CSR categories and allow the number of questions in

each category reflect its relative importance. With the

removal of all (27) performance questions from the 100

Best 2011, it follows that the 291 CSD questions used in

this study result in a binary data system, with the highest

possible index score being 291, and the lowest 0.

The rating of the 100 Best is based on objective, publicly

disclosed information. In 2012, the CROA contracted out

the data collection work to IW Financial, a professional

consulting firm serving the ESG (environmental, social,

and governance) investment community. IW Financial

collects companies’ data from several sources, including

corporate websites, CSR reports, the Carbon Disclosure

Project, as well as paid databases such as the Foundation

Center and Corporate Library, answering survey questions,

computing total scores, and calculating the rankings. The

final decision, however, rests with CROA.

This paper follows the 100 Best in using public infor-

mation to assess the quality of CSD. Data are collected

from corporate websites, annual reports, financial reports,

and CSR reports. As some of the survey questions are

about specific practices in the USA, we need to re-interpret

the questions to fit the local conditions. For example, the

original questions of the 100 Best involved practices of the

U.S. Environmental Protection Agency, so this is changed

to Taiwan’s Environmental Protection Agency. In addition,

parts that involved the 401(K) retirement plan in the USA

are changed to the local ‘portable pensions’ in Taiwan;

parts about U.S. employee benefits in the form of education

grants need to be changed to ‘vocational education and

continuing education’; finally, the relevant requirements of

the U.S.’ Sarbanes–Oxley Act are changed to ‘the Exercise

of Powers by the Public Companies’ Auditing Committee’.

In accordance with the main body of this paper, the

overall CSD quality is reflected in disclosures in the fol-

lowing five facets: policies, goals, initiatives, progress

reports, and audits. Table 2 in the main text reports the

number of questions of these five facets of disclosure

quality in each of the six CSR categories. For example, the

category of climate change abatement has 18 questions on

policies, one on goals, two on initiatives and thirty-six on

progress reports. Table 8 provides a number of sample

Table 8 Sample questions

Climate change abatement

Policies: Does the company disclose that it has an enterprise

level climate change policy?

Goals: Does the company disclose the quantitative targets set

by its climate change policy?

Initiatives: Does the company disclose that it is involved in the

Carbon Mitigation initiative?

Reports: Does the company disclose its total direct greenhouse

gas emissions? Indirect emissions?

Environmental impact

Policies: Does the company disclose that its environmental

policy has a commitment to stakeholder involvement?

Goals: Does the company disclose the quantitative targets set

by its environmental policy?

Initiatives: Does the company disclose that it has a consumer

product recycling program?

Reports: Does the company disclose its total energy use? Does

the company disclose its energy conservation?

Certificates: Does the company disclose its Green Building

certificates? ISO 14000 certificates?

Human rights

Policies: Does the company disclose that its human rights

policy includes a commitment to public reporting?

Goals: Does the company disclose quantitative targets set by its

human rights policy?

Initiatives: Does the company disclose whether it is a signatory

to the United Nation’s Global Compact?

Reports: Does the company disclose the number of personnel

involved in policy implementation?

Certificates: Does the company disclose its SA 8000 certified

facilities?

Employee relations

Initiatives: Does the company disclose its employee benefits

covered by insurance?

Reports: Does the company disclose the composition of its

workforce by location?

Corporate governance

Initiatives: Does the company disclose whether it has an

independent Compensation Committee?

Philanthropy

Policies: Does the company disclose whether technical

assistance is part of its philanthropic giving?

T.-K. Chiu, Y.-H. Wang

123

questions of the 100 Best after being reinterpreted for

‘disclosure’ and is broken down into five facets of disclo-

sure quality for the six CSR categories.

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T.-K. Chiu, Y.-H. Wang

123

  • Determinants of Social Disclosure Quality in Taiwan: An Application of Stakeholder Theory
    • Abstract
    • Introduction
    • Literature Review: Stakeholder Theory and Relevant CSD Evidence
    • Social Disclosure in the Taiwanese Context: Development of Hypotheses
      • Contextual Factors
      • Development of Hypotheses
      • Stakeholder Power Variables
      • Dominant Stakeholder Group: Buyers in the Global Supply Chain
      • Dominant Stakeholder Group: Listing and Social Rating Agencies in International Capital Markets
      • Influential Stakeholder Group: Shareholders
      • Strategic Posture Variable
      • Financial Resource Variables: Profit and Leverage
      • Control Variables
    • Data and Method of Estimation
      • Dependent Variables: CSD Quality
      • Measurement of Independent Variables
      • Regression Model
    • Analysis of Empirical Results
    • Conclusion
    • Appendix
    • References

2015.pdf

Journal of World Business 50 (2015) 192–204

Determinants influencing CSR practices in small and medium sized MNE subsidiaries: A stakeholder perspective§

Byung Il Park a,*, Pervez N. Ghauri b,1

a Hankuk University of Foreign Studies, College of Business Administration, 270, Imun-dong, Dongdaemun-gu, Seoul 130-791, South Korea b King’s College London, Strand, London WC2R 2LS, UK

A R T I C L E I N F O

Article history:

Available online 21 May 2014

Keywords:

Multinational enterprises

Corporate social responsibility

Stakeholder

Korea

A B S T R A C T

This research attempts to investigate key drivers motivating corporate social responsibility (CSR)

practices by small and medium sized foreign subsidiaries. By using stakeholder theory and regression

analysis, we integrate international business and CSR literature to suggest a research model and identify

the factors functioning as catalysts in influencing CSR in local markets. We find that consumers, ‘internal

managers and employees’, competitors and non-governmental organizations are primary determinants

considerably influencing corporate citizenship behavior particularly in emerging markets. We also

believe that our model contributes to current knowledge by filling several research gaps, and our

findings offer useful and practical implications not only for local governments but also for multinational

enterprises.

� 2014 Elsevier Inc. All rights reserved.

Contents lists available at ScienceDirect

Journal of World Business

j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / j w b

1. Introduction

As globalization continues to increase in intensity, noticeable changes are taking place around the globe and a new understand- ing that international operations and investments are efficient means for firms to be competitive (Buckley & Ghauri, 2004). Due to this fact, the outward stock value of FDI transactions grew from US$523.9 billion a year in 1980 to US$1.7 trillion in 1990 and US$6.0 trillion in 2000. The record figure for 2010 revealed an amount that more than tripled the year 2000 figure as worldwide FDI activities totalled US$20.4 trillion (UNCTAD, 2001, 2011). Meanwhile, a wave of FDI has not only been sweeping through traditional advanced economies, but developing and emerging economies have been part of the surge, resulting in the enlargement of multinational enterprises (MNEs).

Another important international issue, coupled with the growth in the number and size of MNEs, has recently come to the forefront. As a recent phenomenon, MNEs have become aware that their mission should go beyond mere profit

§ This work was supported by Hankuk University of Foreign Studies Research

Fund.

* Corresponding author. Tel.: +82 02 2173 3193; fax: +82 02 964 3532.

E-mail addresses: [email protected] (B.I. Park), [email protected]

(P.N. Ghauri). 1 Tel.: +44 020 7848 4122.

http://dx.doi.org/10.1016/j.jwb.2014.04.007

1090-9516/� 2014 Elsevier Inc. All rights reserved.

generation and their continued success in foreign markets is in part affected by organizational ethical standards (Tixier, 2003). In other words, although they basically seek to maximize their earnings abroad, firms are increasingly acknowledging the value of corporate social responsibility (CSR) and treating CSR as a strategic tool where the potential corporate benefits hinge on the communication of corporate responsibility (Polonsky & Jevons, 2009).

Furthermore, some proponents of CSR argue that CSR leads to enhanced brand image and reputation, increased sales and customer loyalty, and increased productivity and quality (Mishra & Suar, 2010). Consequently, CSR has often brought about an improvement in corporate financial performance (Mittal, Sinha, & Singh, 2008). According to Luo (2006), CSR in the MNE context means the firm’s configuration of social responsibility and social responsiveness, policies, and programs which can promote its relationship with local society. He also suggests that the concept of CSR assumes business and society are interwoven rather than being distinct entities. Thus, society has certain expectations as to what are adequate business attitudes and behaviors. Apart from MNEs instincts for profit- making, we argue that satisfaction of the local society’s expectations is particularly crucial for MNEs as it is hard to deny the existence of skeptical opinions which portray MNEs as exploiters of host countries’ resources, especially in developing and emerging countries. In this vein, CSR is not only important

B.I. Park, P.N. Ghauri / Journal of World Business 50 (2015) 192–204 193

as a strategy, but also signifies an organizational task that MNEs should meet ethical, social, environmental, and economic demands from local stakeholders in host economies.2

With respect to the strategic implications of CSR for MNEs, there are numerous unanswered theoretical and empirical issues. One of the fundamental but prominent topics that needs to be immediately resolved is the identification of the motivations for CSR in MNE subsidiaries (Rodriguez, Siegel, Hillman, & Eden, 2006). The links between CSR and MNE literature are very embryonic, as Husted and Allen (2006) indicate that the lack of scholarly attention is one of the reasons that MNEs often fail to respond effectively to issues of CSR in many host countries. To put it concretely, CSR has attracted a huge amount of attention by those who study Strategic Management (e.g., CSR by local firms in domestic markets), Marketing (e.g., the influence of CSR on customer loyalty), and Financial Economics (e.g., the relationship between CSR and stock market returns), but scholars in International Business (IB) have significantly overlooked the strategic importance of CSR. According to Campbell, Eden, and Miller (2012), host-country stakeholders often lack information about a foreign affiliate, and may use stereotypes or impose idiosyncratic criteria compared with a host-country firm, with negative consequences, which forces MNEs to deal with significant liabilities of foreignness in host markets.

In this situation, CSR investments may be a practical non- market coping mechanism for reducing the liabilities encountered by MNEs in overseas countries, and thus MNEs should be strategically motivated to engage in host-country CSR. However, Waldman, de Luque, Washburn, and House (2006) point out that the diffusion of awareness of the value of CSR practices in the global market has been occurring, but little is known about the factors influencing such practices. Hence, we will attempt to fill this research gap. Although there are in fact welcome exceptions (e.g., Lynes & Andrachuk, 2008; Maignan & Ralston, 2002), most of them have focused on the strategies of MNEs in the developed world (Yang & Rivers, 2009). It is crucial that we understand how MNE subsidiaries approach CSR in emerging markets, so that we recognize the challenges the subsidiaries face in aligning their CSR approaches with local practices.

Korea is often referred to as one of the most dynamic emerging markets that have successfully achieved rapid economic develop- ment (i.e., Goldman Sachs has used the term ‘‘MIST’’, abbreviating Mexico, Indonesia, South Korea and Turkey, to categorize the country as one of the leading emerging markets and has stated it as an important market guaranteeing abnormal returns to MNEs in the long-run). In this vein, it is frequently considered as a good benchmarking target both for other emerging countries and MNEs which are eager to enhance economic and financial performance. This clearly suggests that an empirical examination of CSR practices in the Korean market will potentially provide valuable

2 Some scholars (e.g., Chang, 2004; Ziegler, 2005) have shed light on the negative

aspects of MNE operations, and even argue that MNEs are one of the primary

obstacles inhibiting economic growth in developing and emerging countries. The

explanations given by these scholars, proposing negative impacts are the following;

often MNE activities are too vitalized and excessive, foreign firms attempt to

dominate the market they enter and present a challenge to national sovereignty.

Moreover, the aggravation of local competition against MNEs inevitably culls

locally grown enterprises, which results in the deterioration of employment. In

particular, MNEs re-invest only a fraction of their revenues in local economies and

drain positive effects from both capital injections and the balance of payments.

These negative effects cause hardships for local governments and negatively

influence their investments in infrastructure, education and technology develop-

ment. In this vein, we suggest that CSR is not only important for domestic firms but

also should be considered as a crucial international issue in that CSR is an efficient

means to overcome skeptical attitudes toward FDI in host markets. This discussion

also explains the supporting rationale why MNE CSR needs to be particularly geared

toward host economies.

implications for MNEs to predict how local CSR activities would be enacted in a growing marketplace.

Another gap that needs to be addressed is associated with organizational size in that it is identified as both vital but relatively unexamined. Small and medium-sized enterprises (SMEs) consti- tute over 90% of the worldwide population of businesses and make significant contributions to employment, wealth creation, invest- ment, innovation and international trade (Udayasankar, 2008). Within the limited, but growing, literature on SME ethics, however, scant attention has been paid to the issue of CSR (Worthington, Ram & Jones, 2006). This pre-occupation with larger organizations is all the more amazing when one considers the social and economic importance of smaller firms (i.e., small and medium sized MNE subsidiaries (SMMSs)) to modern international business.

The reason why extant literature focuses on large subsidiaries is because subsidiary size may mean strategic importance for MNE headquarters, but due to the intrinsic differences between large subsidiaries and SMMSs, CSR is a different issue when applied to SMMSs. In addition to size as one criterion, the intrinsic differences include legal form, sector, orientation toward profit, historical development and institutional structures (Perrini, 2006). Russo and Perrini (2010) clearly indicate that a knowledge gap exists in the CSR-SMMS relationship and researchers are still far from constructing a consolidated and generally accepted model to investigate such relationships as well as providing a responsible perspective on the management of SMMSs. This reasoning suggests that we need to gain a better understanding of the antecedents affecting MNE CSR in emerging countries with research also putting emphasis in further exploring the behavior of SMMSs toward CSR.

2. Literature review and theory development

2.1. Theoretical background

Although there appears to be broad agreement that MNEs should behave responsibly, there is only limited discussion linking the MNEs and their CSR activities in emerging markets (Polonsky & Jevons, 2009). Clear evidence verifying this situation can be found from Kolk and van Tulder’s (2010) commentary arguing that while often mentioned as relevant topics for the study of MNEs, the number of articles trying to connect MNEs and CSR has been very limited, and the literature is in its infant stage. Various elements might contribute to the current phenomenon but the main cause of this situation is closely associated with the lack of available data. There are hardly any extensive databases providing information particularly on CSR or on the impact of MNEs on the various dimensions of sustainable development which can be used for IB research purposes. In addition, the problem of the lack of large- scale research material is more serious when the issue is applied to SMMSs in emerging markets. As primary data collection is very difficult and time consuming, this seems to be another reason behind the focus on large organizations and the main research foray into developed countries. Given the variation of CSR in the respective national business systems and potential IB opportu- nities in emerging economies, the latter concern (i.e., previous focus on developed countries) uncovered during the process of the literature review should not be ignored.

Developing a clearly defined corporate CSR identity for global organizations is complex, but it is generally defined as the voluntary integration of social concerns in business operations abroad and in their interaction with local stakeholders (Vilanova, Norazo, & Arenas, 2008). Within the CSR perspective, Waldman et al. (2006), subsequently supported by Mishra and Suar (2010), suggest that stakeholder theory helps to understand the

B.I. Park, P.N. Ghauri / Journal of World Business 50 (2015) 192–204194

dimensionality of CSR values, provides a useful direction in the evaluation of CSR, as well as to offer a new way to organize thinking about organizational responsibilities. Whether driven from corpo- rate ideology or from stakeholder obligations, MNEs encounter a complex set of decisions in regards to how they respond to CSR issues (Polonsky & Jevons, 2009). Thus, firms should consider all stakeholders, which are ‘‘groups and individuals who can affect, or are affected by, the achievement of an organization’s mission’’ (Freeman, 1984, p. 54). According to stakeholder theory, the relationship between the corporation and the stakeholder is mutually interactive, and thus the firm ought to be managed to meet the expectations, including CSR issues, of all its stakeholders. Under this idea, we will seek to systematically address MNE CSR by using stakeholder theory as an overarching theoretical lens.

The basic instinct of corporations is to maximize shareholders benefits by undertaking actions that increase business profit. However, a variety of stakeholders surrounding firms also prefer to interact with organizations that evince better CSR (O’Shaughnessy, Gedajlovic, & Reinmoeller, 2007), which suggests that even when a firm tries to serve its shareholders as a primary concern, its success in doing so tends to be affected by other stakeholders. In this regard, in order to avoid conflicts with stakeholders and effectively carry out relationship-specific investments with them in resources and processes, firms increasingly need to take corporate stake- holders into account (Gifford, Kestler, & Anand, 2010; Udayasan- kar, 2008). According to Luo (2006), from the MNE standpoint, such an idea started taking shape with the realization that firms have social responsibilities and social responsiveness toward the local economies in which they operate. His explanation infers that MNEs have ethical obligations to conduct worldwide business in a way that safeguards the welfare of society and are expected to be society-oriented (also see Carroll, 1991).

There are a large variety of entities that maintain a ‘‘critical eye’’ on CSR. Broadly speaking, stakeholders forming the connections between the aims and ambitions of the MNEs and the expectations of society consist of primary and secondary stakeholders. Stakeholder theory sheds light on the role of the primary stakeholders by pointing out that organizational survival and success hinges on the organization’s ability to generate sufficient wealth, value, or satisfaction for its primary stakeholders, though not exclusively for shareholders (Maon, Lindgreen, & Swaen, 2009). Those whose relationships are crucial for the organization to realize its mission in producing goods or services include: (1) consumers, (2) internal managers and employees, (3) government, (4) suppliers, and (5) investors. Secondary stakeholders are comprised of social and political actors functioning as supporters of the mission by providing their tacit approval of the MNE’s activities, thereby making them acceptable and giving the business credibility. Such secondary stakeholders may include: (1) compe- titors, (2) media, (3) local community, and (4) non-governmental organizations (NGOs) (Maon et al., 2009).

2.2. Importance of CSR for SMMSs in emerging economies

Although MNEs discover new business opportunities in emerging markets, it is difficult for them to obtain legitimacy for their local operations (Reimann, Ehrgott, Kaufmann, & Carter, 2012). The host economies generally lack information about MNE subsidiaries (particularly SMMSs), and thus commonly use stereotypes or different standards to judge business activities of foreign firms with skepticism (Gifford et al., 2010). In addition, compared with large organizations, SMMSs do not possess sufficient competencies and have a difficulty in accessing necessary resources, which make them more vulnerable to local business environments. As a result, SMMSs need to build legitimacy to successfully operate in these regions.

The challenges of legitimacy occur from institutional distance associated with unfamiliarity and discriminatory treatment (i.e., liability of foreignness) (Campbell et al., 2012). If SMMSs do not adapt to unacquainted environments in host countries, they may suffer unpredictable costs. In particular, compared to developed markets, emerging economies are relatively uncharted territories for most MNEs, and thus they may need to try to overcome the institutional distance and reduce these costs by engaging in local CSR activities (Yang & Rivers, 2009; Gifford et al., 2010).

Institutional theory supposes that firms are surrounded by formal and informal institutions (North, 1990). The formal institutions have coercive influences, such as national legislation and government regulation, whereas the informal institutions include cognitive issues, such as norms, conventions and shared beliefs. Firms come under various social and cultural pressures to comply with their institutional environments for legitimacy and social fitness (Scott, 1995). Responding to these pressures, the SMMSs, which suffer a lack of resources relative to large subsidiaries, are enforced to adapt their processes, decision- making and business activities to become adequately embedded in local society. In this vein, it is expected that SMMSs’ CSR structures and practices adopted through the process of institutionalization play a pivotal role in enhancing recognition and trust in host economies and creating good partnerships with local stakeholders.

In other words, local legitimacy is acquired by conforming to rules and value systems made up by society members, and thus the institutional pressures are closely related with local stakeholders’ demands (Reimann et al., 2012; Yang & Rivers, 2009). For example, SMMSs may comply with norms and certifications required by business networks and understand and adapt the values of both primary and secondary local stakeholders. Under this premise, this paper develops a comprehensive stakeholder-based framework to identify local institutional pressures imposing CSR on SMMSs in an emerging market.

2.3. Primary stakeholders

2.3.1. Consumers

Among all the stakeholders, one important group that appears to be particularly influential for firms to initiate CSR activities is consumers. According to evidence found by Du, Bhattacharya, & Sen (2010), consumers tend to switch from one brand to another (price and quality being equal) if the other brand is associated with proactive corporate citizenship. In addition, 85% will consider boycotting a firm’s products or services by switching to another firm’s offerings in the case where consumers think that the initial firm shows negative corporate responsibility practices. Mishra and Suar (2010) suggest that if consumers know that a certain good is produced by a socially responsible firm, they have a propensity to provide positive inferences about the product. Such inferences induce consumer loyalty and turn consumers into company/brand ambassadors and champions who engage in advocacy behaviors.

Lamberti and Lettieri (2009) also argue that as consumers become aware of the ethical implications of a firm’s behavior, they develop a trust in the belief that the firm will maintain its quality standards in order to enhance corporate reputation. In the same vein, beyond ethical considerations, consumers’ perceptions of CSR deficiencies can be extremely detrimental to corporate profitabili- ty and growth. A noteworthy point here is that such a detrimental effect derived from irresponsible behavior by firms makes MNEs more vulnerable in foreign markets as MNEs already commonly suffer from the liability of foreignness (Gifford et al., 2010; Kolk & van Tulder, 2010). SMEs, including MNE subsidiaries, are different from larger firms in their structural, social, functional attributes, and other characteristics, such as a lack of high-quality internal resources, financial constraints, and relatively small market share.

B.I. Park, P.N. Ghauri / Journal of World Business 50 (2015) 192–204 195

Given these issues, we can conclude that consumer patronage stemming from CSR practices and business ethics is considerably critical for foreign investing firms and even more for SMMSs.

H1. Consumers play an important role in influencing CSR practices of SMMSs in foreign markets.

2.3.2. Internal managers and employees

One relevant stakeholder that directly influences corporate CSR is the managers and employees of an organization. Corporate policies and practices toward union relations, remuneration policy, working conditions, and elimination of forced/child labor are commonly determined by managers (Mishra & Suar, 2010). This means that managers are firm-specific factors functioning as a key basis in orienting the organization and its decisions and behaviors particularly associated with CSR. In addition, managerial support not only for environmental and social initiatives but also for the presence of policy entrepreneurs positively affects an organiza- tion’s citizenship orientation (Lindgreen, Swan, & Johnson, 2009a). In this vein, there cannot be socially responsible MNE subsidiaries without socially responsible managers who have the willingness to sacrifice corporate objectives, strategies and resource allocation in favor of socially responsible actions in foreign markets (Godos- Dı́ez, Fernández-Gago, & Marı́nez-Campillo, 2011).

Moreover, the role played by top management is perhaps more important for SMMSs to keep good and stable stakeholder relations and communicate clear and strong ethical business values with their relatively small foreign investment. According to Hanke and Stark (2009), corporate values are mainly chosen and implemented personally by the managers in SMEs. That is because, unlike large firms, SMEs do not generally possess sufficient organizational resources to be simultaneously and fully allocated, and a manager’s personal perceptions for public tasks are logically more crucial in small firms than firms with many employees.

Similarly to managers, O’Shaughnessy et al. (2007) explain that a lot of work in CSR adopts the assumption that CSR is driven by firm specific factors, such as internal employees. In other words, employees may also considerably influence the process from planning to implementation of a subsidiaries’ CSR activities. Human resource practices, compensation policy, working envir- onments, and elimination of forced/child labor, portray a firm’s CSR toward employees (Mishra & Suar, 2010). By upgrading such corporate standards, firms are able to satisfy employees, increase their job commitment, and improve financial and non-financial performance, and ultimately secure internal momentum for CSR. We thus believe that CSR is an issue that suggests a reference to the personal interests of the managers and employees of SMMSs. Hence,

H2. Internal managers and employees play an important role in influencing CSR practices of SMMSs in foreign markets.

2.3.3. Governments

Government policies are one of the primary keys in encouraging a greater sense of CSR by exercising strong influence in shaping the context of economic actions as part of the rules of the game. Under this premise, we suggest that governments that enact CSR regulations are effective in establishing social expectations about responsible corporate behavior and in promoting the idea that firms play an important role in addressing social problems. Hung (2011) also argues that firms are affected by the political environment in which they operate. According to him, in order to secure sustainable competitive advantages, a firm needs to use its organizational resources to undertake socially responsible actions for effective interaction within the political and legal environment. Through planned activities, which satisfy

government demands, firms strive to influence the politically relevant elements of its external environment. Many governments seem to have an increasing interest in CSR performance by MNEs and attempt to supervise the behavior of foreign firms, in effect forcing them to be ‘‘good corporate citizens’’ in local markets (Husted & Allen, 2006). Previous studies also shed light on the role of local governments in improving MNE CSR. For example, Manakkalathil and Rudolf (1995) document that MNEs operating in underdeveloped countries generally find that regulatory environments are less sophisticated than those in their home countries, and thus they have a propensity to show unethical behavior in these countries. Luo’s (2006) experiments show that the interaction between MNEs and local governments is a complex, dynamic, and interdependent process in which MNEs escalate their relationships with governments to demonstrate their CSR activi- ties and receive favorable treatment. Other studies indicate that CSR efforts aid MNEs in building local legitimacy and strong local relationships with host governments, and it is possible to consider political conditions as a potential factor in interpreting an MNE’s decision to engage in CSR (Hadjikhani, Lee, & Ghauri, 2008). The same logic can be applied to SMMSs.

H3. Local governments play an important role in influencing CSR practices of SMMSs in foreign markets.

2.3.4. Suppliers

According to the stakeholder perspective, the supplier relation- ship is part of the dynamic evolution of positive-sum strategies that create benefits for firm performance over time. Avetisyan and Ferrary (2013) argue that suppliers are an important stakeholder, which are directly involved in economic processes, while being simultaneously bound by explicit contracts with a company. Freeman (2004) also proposes that to be recognized as socially responsible, an organization should take into consideration the interests of suppliers, as it has a strong impact on organizational performance outcomes. In addition, local suppliers in many host countries have shaped the concept of CSR through their expecta- tion that MNE subsidiaries will act responsibly in the conduct of their operations (Bondy, Moon, & Matten, 2012). In this vein, suppliers may represent the true challenge ahead, and the management of these relationships is the starting point from which to frame an approach to fruitful internationalization in a more integrated ethical view (Ghauri, Elg, & Tarnovskaya, 2008).

According to Cheng and Ahmad (2010), those who address the issue of suppliers commonly agree that MNE subsidiaries need to carefully observe the demand of their supply chain. This comes about due to the growing insistence that responsible firms look at the impact not only of their own operations, but that of their business partners. They further emphasize that having good supplier relations are essential for MNE subsidiaries in that CSR practices for their supplier and business partners are connected to legal concerns and subsidiaries are not able to establish or maintain a business relationship with a supplier in cases where their practices violate local laws relating to labor standards or environmental protection. Building competitive advantages from a CSR approach in foreign markets logically requires MNEs to respond to their local business and institutional environments (i.e., local responsiveness). In this situation, local suppliers are an influential stakeholder to be considered in the new business environment to show commitment and local responsiveness (Cruz & Boehe, 2010). In particular, large subsidiaries are expected to hold more bargaining power in negotiations with their suppliers, but SMMSs face the challenge of enforcing CSR standards throughout the supply chain (Torugsa, O’Donohue, & Hecker, 2012). In this regard,

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H4. Suppliers play an important role in influencing CSR practices of SMMSs in foreign markets.

2.3.5. Investors

Scalet and Kelly (2010) raise a basic question about why the CSR movement is progressing and answer that CSR is always, and only, a question of how to differentiate one’s product to satisfy investor demand. Such anticipation is probably plausible in that investors have a propensity to show willingness to pay a premium for the stocks of firms which are socially responsible (Mishra & Suar, 2010). Suppliers of capital may prefer to do business with firms exhibiting strong social performance because their cash flows may be perceived to be at less risk and less prone to negative performance (O’Shaughnessy et al., 2007).

In addition, institutional investment selection based on CSR is quite common in most developed economies (i.e., the main investors). For instance, institutional investors in the UK are subject to a set of regulatory, institutional and social pressures to encompass social performance in investment selection. These investors hold power in shaping firms’ CSR behavior and holding MNEs responsible for high international CSR standards. In the US, socially responsible investment (SRI) is no longer an option for investors, but an imperative, as argued by Adam and Shavit (2008), SRI decreases the long-term level of risk on the investment and concerns the long-term survival and growth of the firm. Influence by investors thus represents a formidable force that can effectively stop commercial cooperation and business relationships if MNE subsidiaries appear socially irresponsible in foreign markets. Investors can perhaps be a particularly large and powerful stakeholder in the case where subsidiary size is a small or medium-scale company, which logically suffers from a lack of organizational resources, along with the liabilities of foreignness. This leads to the following hypothesis:

H5. Investors play an important role in influencing CSR practices of SMMSs in foreign markets.

2.4. Secondary stakeholders

2.4.1. Competitors

The concept, ‘following leading companies’ used in Laudal (2011) refers to a process whereby firms try to imitate and excel in CSR practices of competitors to seek a competitive advantage or to increase their legitimacy. That is, MNEs may try to enhance their compatibility with environmental characteristics and overcome uncertainties and ambiguities in their surroundings by imitating the practices of their competitors in foreign markets. Similarly, Bondy et al. (2012) suggest that MNEs tend to identify their existing CSR meanings and activities and looked into competitor activity to maintain a market position through monitoring the competitor’s CSR strategies. Cruz and Boehe (2010) also indicate that CSR may help an MNE to successfully differentiate itself from its competitors and thus become a means to achieving competitive advantages.

Bondy et al. (2012: pp. 292–294) argue ‘‘most MNEs were quite open about tracking the activity of their perceived ‘CSR compe- titors’. These corporations observed the justifications and activities of their CSR competitors, to both map the CSR marketplace and identify activities to emulate. For most of the MNEs, this was to keep pace with competitors. Every MNE in the research engaged in some degree of tracking their CSR competitors. Some did so through participation in collaborative or best-practice-sharing groups such as the Ethical Trade Initiative, UN Global Compact or industry bodies. However, most focused on their competitors’ CSR reports and policies to identify changes in CSR activity so as to improve their own practice. . . They could then brand or market

these initiatives as something different to their competitors but signal an overall emphasis on acting responsibly’’. O’Riordan and Fairbrass (2008) presume that MNEs particularly need to do so, because competitors may also engage in activities that perhaps emphasize or publicize the alleged faults of their competitors.

These reasons all potentially directly link with motivations that MNE subsidiaries undertake CSR programs in foreign environments. Meanwhile, recent research suggests that SMMSs generally possess several distinctive organizational characteristics, such as better entrepreneurial alertness and simpler capital structures that can considerably endorse organizational efficiency and flexibility, and innovativeness with which to promptly respond to their competi- tors’ actions (Torugsa et al., 2012). These attributes are held to contribute substantially to competitive advantage built on CSR principles and sought after for SMMSs to be aligned with their competitors. Thus,

H6. Competitors play an important role in influencing CSR prac- tices of SMMSs in foreign markets.

2.4.2. Media

O’Riordan and Fairbrass (2008) argue that there is a growing sense of public disapproval in activities by MNEs. One likely reason causing this negativity associated with MNEs is the repeated occurrence of certain high-profile events, labeled by many as ‘scandals’. This behavior has frequently been emphasized through intense attention from the media, which have grabbed the opportunities to publicize alleged failings. Han, Lee, and Khang (2008) find a typical example, malpractice in CSR causing serious damage to Nike’s corporate image, and they shed light on the case as solid evidence showing how reputation and organizational perfor- mance are closely connected. According to their explanations, Nike’s share value plummeted reflecting the revelation that Nike used sweatshop labor in Vietnam in 1996. The situation did not improve until Nike enacted vigorous CSR programs in order to change its corporate image.

This clearly points out that media significantly contributes to fulfilling the ‘right to be informed’ by reporting, for instance, the public policy-making process, exposing corrupt acts, creating public opinion and general awareness (Azmat & Samaratunge, 2009). Media has thus recently emerged as a crucial stakeholder to accelerate MNE CSR in global marketplace, and works to promote good governance and responsible business practices and is voicing the concerns of the community (Azmat & Samaratunge, 2009). In particular, when we consider SMMSs suffering investment risks in unknown foreign markets, but do not own sufficient organizational tangible or intangible assets we can easily forecast how corporate brands, identities and reputations influenced by media exposure are important for them to overcome this challenge. In this vein, the critical role of the media as a stakeholder should be acknowledged.

H7. Media plays an important role in influencing CSR practices of SMMSs in foreign markets.

2.4.3. Local community

Essential attitudes on moral rights and obligations reflect a set of standards to which all societies can be held, and ‘local’ CSR deals with the firm’s obligations based on the standards of the local community (Husted & Allen, 2006). Thus, MNEs need to appropriately evaluate and respond to claims by the local community relevant to their ‘‘license to operate’’ in local markets (Russo & Perrini, 2010). Social activists have also been forcing MNEs to focus on CSR efforts and this voice is increasingly being echoed by local communities in which the firms operate. As is often the case, the activities of the MNEs

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are under more intense scrutiny from local communities (Torres-Baumgarten & Yucetepe, 2008). While MNEs attempt to meet the demands of local communities, they benefit from being recognized as an embedded part of the community in which they are doing business.

Typical business involvement within the community, which generates such benefits, is seen in many areas, such as education, health, and income generation. CSR activities toward a community are seen in terms of philanthropic giving, public–private partner- ships, community relationships, and participation in social and economic development issues (Mishra & Suar, 2010). In addition, when MNE subsidiaries focus their social actions within communi- ties in local markets, they reap the benefits of a socially responsible image among their local employees and the local community (Lindgreen et al., 2009a). In particular it has been observed that investments in the enhancement of relationships with the local community aid MNE subsidiaries in obtaining competitive advan- tages through tax savings, decreased regulatory burdens, and improvements in the quality of local labor (Waddock & Graves, 1997). Moreover, an important issue that should be noticed is that social activism used by local community groups as a stakeholder should be much more influential for SMMSs than large foreign organizations possessing organizational power. Hence,

H8. Local communities play an important role in influencing CSR practices of SMMSs in foreign markets.

2.4.4. NGOs

Doh and Guay (2006) point out that the rising influence of NGOs is one of the most significant developments in interna- tional business over the past 20 years, and NGO activism has been responsible for major changes in CSR behavior. That is, NGOs recently have moved to the front in discussions on MNE CSR, using their status as stakeholders to push for change in local markets (Guay, Doh, & Sinclair, 2004). More specifically, stakeholders are able to show a link between the local social issues and the business activities of the focal MNE subsidiary. By expressing a particular ethical claim, stakeholders draw atten- tion to this causal relation. For example, an environmental NGO can potentially establish a causal connection between air pollution and the emissions of a particular MNE subsidiary. Hence, the NGO may pressure the MNE to reduce the factory’s emissions (Pater & van Lierop, 2006).

This clearly indicates that NGOs influence MNE policy and subsidiary operations, and this influence can take several forms: public announcements, shareholder proposals, direct negotia- tions with managers, and proxy contests (Guay et al., 2004). Similar discussions can easily be found from related literature. For example, Arenas, Lozano and Albareda (2009) suggest that MNEs often change their policies and strategies in cases where social and political pressures are linked to particular NGOs or NGO networks. Van Huijstee and Glasbergen (2010) mention a parallel opinion by explaining that the number of interactions between MNEs and NGOs concerning issues of MNE CSR has exponentially increased in the current business climate. Under the influence of NGO pressure and the reputation risks this entails, business increasingly accepts the social responsibility in solving local issues, and engages NGOs in their CSR efforts. The same researchers also confirm this statement through an empirical examination and argue that business-NGO interac- tions lead to CSR changes and they include advances in CSR policies (formalized documents), practices (informal routines), and structures (staff positions and departments) within MNE subsidiaries under the influence of the NGO. We should note that SMMSs must not be an exception from the logic discussed above. In this regard,

H9. NGOs play an important role in influencing CSR practices of SMMSs in foreign markets.

3. Methodology

3.1. Sample and data collection

The population of this research is MNE subsidiaries, which are located in the South Korean market (South Korea will be referred as Korea, hereafter). The list of all subsidiaries was attained from Foreign Direct Investment published by the Ministry of Knowledge Economy (2011). This source covers all foreign investment activities undertaken in the country and the information on inward FDI in Korea is reliable and trustworthy in that most of the recent empirical examinations exploring ‘FDI in Korea’ have used the same data (e.g., Park, 2011; Park & Ghauri, 2011). Although this is official government information, we have also visited the corporate homepages of the companies to ensure against the possibility that some MNEs might have withdrawn their foreign investments or terminated contracts with local firms resulting in the closing of the subsidiary operation. Thus, we did not include firms whose corporate homepages we were unable to find and through this process, a total number of 1531 firms were finally compiled.

A questionnaire through postal survey was used to collect data for statistical analysis. The survey was distributed between September and December 2013, and CEOs were regarded as the best informants (hence, questionnaires were sent to them. The follow-up letter was sent to those who had not responded in the fourth week. For the follow-up letter, a postcard was used to say early thanks to respondents and to remind about the return of the questionnaire). When the survey was done, a total of 335 responses were returned, giving a response rate of 21.88%. However, 13 responses were not usable (some respondents merely repeated a certain numeral or recurrently enumerated figures in consecutive order), and thus they were discarded. Renuka and Ventakeshwara (2006) propose that the definition of SME by size is different across the globe and the way it is defined hinges on the stage of economic development of the country concerned. According to the Scope of Korean SMEs (2010) published by the Korean Small and Medium Business Administration, SMEs are firms with fewer than 300 employees. Based on that criterion, 11 subsidiaries were addition- ally excluded, which means 311 responses were finally selected for examination. Prior to analysis, we checked the presence of non- response bias by using key parameters (detailed industry classification and origin of MNEs as well as early versus late respondents). We found no significant difference between the responding and the non-responding subsidiaries regarding two key parameters and significant differences between the early respondents and the late respondents were not found.

However, utilization of a single process generally involves some weaknesses in drawing robust results. To overcome this risk, we obtained further insights into the topic by conducting focus groups with primary and secondary stakeholders. The focus group is one of the techniques producing qualitative data that provides insights into the attitudes, perceptions, and opinions of participants through carefully designed discussion, and it is useful for the following two reasons (Ghauri & Gronhaug, 2010; Krueger, 1994). First, the real value of the focus group is in supplementing the information obtained through the questionnaire survey. The questionnaire and the focus group have complementary char- acteristics. The questionnaire typically generates a considerable amount of data, whereas the focus group can offer preliminary insights about the attributes of the information. Second, another value is detected in the opportunity to examine the interactions between participants.

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The focus group is particularly helpful when it comes to analyzing what participants believe. This is because they are not only eloquent about their own views and experiences, but also illustrate to the other group members why they grasp their opinions or challenge those which might differ from their own views (Sekaran, 2003). Through the interactions among partici- pants in such a natural environment, the focus groups is aimed to uncover reasons from statistical analyses. The Korean Ministry of Trade, Industry and Energy helped in the recruitment stage by introducing the participants, and thus its aid was very useful in conducting the focus groups. In addition, two focus groups (i.e., seven and eight stakeholders respectively in each group) were chosen to avert the serious possible danger that a single group of people would provide prejudiced, unfair opinions, and the interviews were undertaken on 6th and 12th January 2014 (participants are two consumers, two managerial employees, two government officers, four CEOs (i.e., two supplier firms and two competitors), an investor, a media representative, a local community member, and two NGOs).

3.2. Variable measurement

The level of CSR activities by MNE subsidiaries is a dependent variable, and it was assessed by a twelve-item scale based on 5 point Likert-type scales. Both primary and secondary stakeholders comprising nine factors are independent variables potentially influencing the phenomenon. As might be noted from the explana- tions on variable measurement, we asked respondents to assess perceptually both dependent and independent variables, indicating that there is a possible presence of common method bias. To remedy this limitation, we have taken the following precautions: First, several individual items (i.e., multi-item scales) were used to measure the independent variables based on earlier literature. In addition, validated items by previous studies were employed by extensively reviewing the extant literature on similar topics (e.g., CSR, corporate social performance, corporate citizenship and ethics). Second, once the survey was completed, we interviewed 10 respondents for the purpose of confirming response consistency, but we did not find a considerable difference between the respondents’ interview reports and their survey answers (Luo, 2006).

Third, we also re-sent the same questionnaire to different people (e.g., general managers) of 50 sample firms, whose executives (CEOs) had responded to our survey earlier. We received 21 responses and we did not uncover any significant inconsistencies between the two respondents from each firm (Park & Choi, 2014). Fourth, following

Table 1 Descriptive statistics and correlations.

Mean S.D. 1 2 3 4

1. Development status of MNE origin 0.58 0.50 1.00

2. Ownership structure 64.66 36.48 �0.28** 1.00 3. Institutional distance 1.99 1.17 0.02 0.02 1.00

3. Subsidiary size 47.06 55.75 0.26** 0.23** 0.02 1.00

4. Subsidiary age 9.37 8.76 0.32** �0.03 0.15** 0.12* 5. Consumer 3.11 0.70 �0.04 �0.09 �0.14* �0.05 6. Internal managers and employees 3.24 0.74 0.11 �0.11 �0.32** �0.10 7. Government 2.57 1.36 0.05 0.02 0.30** �0.02 8. Suppliers 3.39 0.61 0.03 �0.03 0.00 �0.01 9. Investors 2.93 0.86 �0.03 �0.01 �0.18** �0.11 10. Competitors 3.23 0.56 �0.03 0.04 �0.09 �0.00 11. Media 3.46 0.62 �0.06 �0.05 �0.11 0.01 12. Local community 3.33 0.77 �0.02 �0.03 �0.35** 0.04 13. NGO 2.94 0.71 �0.15* 0.14* �0.20** �0.15* 14. CSR 3.47 0.67 �0.02 0.01 �0.35** �0.10

Notes: N = 291. AVE values are consumer (0.643), ‘internal managers and employees’ (0.

media (0.616), local community (0.630), NGO (0.621) and CSR (0.629), respectively. * p < 0.05 ** p < 0.01.

Podsakoff, MacKenzie, Lee, & Podsakoff (2003: p. 889), who suggest ‘‘One of the most widely used techniques that has been used by researchers to address the issue of common method bias is what has come to be called Harman’s one-factor (or single-factor) test,’’ we entered all variables measured subjectively by the respondents into this testing method. The proportion of variance criterion exhibits four independent dimensions. The variables ‘consumer’, ‘internal managers and employees’, ‘investors’, ‘local community’ and ‘CSR’ have high loadings on the first factor (27.79%); and ‘institutional distance’, ‘government’ and ‘competitors’ have high loadings on the second factor (13.40%); and ‘media’ and ‘NGOs’ have high loadings on the third factor (12.86%); and ‘suppliers’ has high loading on the fourth factor (11.62%).

According to Podsakoff et al. (2003), the presence of a substantial amount of common method should be suspected in the case where (1) a single factor emerges from the factor analysis or (2) one general factor accounts for the majority of the covariance among the measures. The comments given by Podsakoff et al. (2003) and the outcomes from the analysis clearly confirm that this research does not suffer common method bias. A detailed description on the variable measurement is provided in Appendix A. It also shows information on sources of each variable measurement and Cronbach’s alpha.

In addition, the average variance extracted (AVE) was calculated for rigorous testing of measurement validity. Fornell and Larcker (1981) assert that the AVE should be greater than the recommended 0.50 to achieve convergent validity. As shown in Table 1, we document that the AVE values are greater than 0.50 for all constructs (0.507 < all AVE values < 0.653), which provides strong evidence of convergent validity.

Discriminant validity was evaluated by comparing the AVE estimates for each construct with the square of the parameter estimates between two constructs. According to Fornell and Larcker (1981), discriminant validity is achieved if the AVE of each construct exceeds the square of the standardized correlations between the two constructs. All AVE estimates are greater than the squared correlations between all constructs. Thus, both convergent validity and discriminant validity are established (see Table 1).

Five variables were additionally included to control the effects of other factors on the MNE CSR: (1) development status of MNE origin. MNEs from developed economies, such as USA, Europe or Japan, are perhaps more familiar with CSR than other firms mainly based in developing countries. Thus, a dummy variable was created (1 for subsidiaries established by MNEs whose corporate origins are developed countries and 0 otherwise). (2) Ownership

5 6 7 8 9 10 11 12 13 14

1.00

�0.12* 1.00 �0.08 0.57** 1.00

0.20** �0.15** �0.19** 1.00 �0.00 0.26** 0.36** 0.02 1.00 �0.07 0.42** 0.35** �0.03 0.03 1.00 �0.01 0.05 0.04 �0.12* �0.01 �0.03 1.00 �0.12* 0.30** 0.16** �0.05 0.28** 0.06 0.07 1.00 �0.14* 0.59** 0.64** �0.22** 0.29** 0.43** 0.06 0.26** 1.00 �0.15** 0.24** 0.25** �0.10 0.08 0.28** 0.02 0.32** 0.39** 1.00 �0.18** 0.56** 0.56** �0.19** 0.07 0.33** 0.22** 0.25** 0.59** 0.46**

653), government (0.591), suppliers (0.507), investors (0.563), competitors (0.543),

Table 2 Analysis results: OLS regression.

Model 1 Model 2 Model 3 Model 4 VIF

Development status of MNE origin 0.011 0.043 0.029 0.035 1.265

Ownership structure 0.050 �0.039 �0.004 0.000 1.213 Institutional distance �0.166** �0.073 �0.098* �0.107* 1.318 Subsidiary size �0.022 �0.053 �0.018 �0.019 1.248 Subsidiary age �0.100* �0.066 �0.071 �0.025 1.229 Consumers 0.410*** 0.337*** 0.274*** 2.108

Internal managers and employees 0.320*** 0.282*** 3.297

Governments 0.055 0.038 1.181

Suppliers �0.139** �0.154** 1.305 Investors 0.070 0.020 1.479

Competitors 0.131** 0.109* 0.091* 1.031

Media 0.040 0.027 0.043 1.362

Local community 0.448*** 0.059 0.161** 3.524

NGOs 0.287*** 0.280*** 0.163** 1.375

Customer � local community �0.333***

Adjusted R2 0.517 0.477 0.597 0.627

F 25.843*** 24.499*** 25.535*** 36.445***

Notes: Coefficients standardized. * p < 0.05. ** p < 0.01. *** p < 0.001.

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structure. The proportion of equity that MNEs possess might also affect MNE motivation to contribute to local societies and markets (it was measured by the proportion of foreign ownership). (3) Institutional distance. It was measured by average of three questions on the level of dissimilarity in regulatory, cognitive and normative institutions between home and host countries. In addition, MNE CSR can also be influenced by (4) organizational size and (5) age. Size was calculated by the number of employees, whereas age was measured by the number of years since creation of the subsidiary, respectively.

4. Results and discussion

We attempt to identify cause-and-effect relationships, and consider stakeholders influence causing MNE CSR practices in local economies. The most common analysis strategy for such a research design is using an OLS regression technique (Hair, Anderson, & Tatham 1987). Prior to undertaking the analysis, we assessed the level of multicollinearity by observing correlations between variables (See Table 1). Although researchers suggest different cut-off points at which multicollinearity is defined and we conservatively take into account the possibility (For instance, Tabachnick and Fidell (1996) advise .70, Kim (2005) proposes .80, and Pallant (2001) recommends .90, respectively), the problem of multicollinearity is negligible. In addition, we also ran the variance inflation factor (VIF) to more minutely verify the non-existence of multicollinearity. Although Hair, Babin, Money, and Samouel (2003) argue that 5.0 is a maximum acceptable VIF value, the highest value of VIF is less than 3.6 in our model, which confirms that multicollinearity is not problematic in carrying out OLS regressions.

Table 2 exhibits the results of the OLS regression analyses. Control variables and predictors associated with primary stake- holders are employed in Model 1, whereas control and indepen- dent variables related to secondary stakeholders are included in Model 2.3 In contrast, Model 3 is a full model. The results indicate that all regression models are highly significant (p < 0.001).

3 Control variables are generally insignificant, which denotes their minimum

influence on subsidiary CSR. However, as institutional theory suggests, our results

reveal that institutional distance negatively motivates MNE subsidiaries to conduct

CSR activities in foreign markets. Although we do not discuss its impact here as it is

not our research focus, we recommend that future research examines the

relationship between institutional distance and MNE ethics, such as CSR and

corruption as potential paths for further studies.

This research started with the anticipation that primary stakeholders function as a vehicle to expedite CSR practices by MNE subsidiaries in local markets. For many subsidiaries, CSR is seen as an important means of influencing the feelings, thoughts, and consequently purchase patterns of their target consumers. Thus, consumers are one of the most critical catalysts promoting CSR activities of an organization (Mishra & Suar, 2010). ‘Managers and employees’ are also significant change agents and their awareness of and commitment to CSR are widely considered as another key element for the implementation of social and environmental initiatives (Godos-Dı́ez et al., 2011). As expected, the results from the regression models also suggest that both ‘consumers’ and ‘managers and employees’ have a significant effect on CSR behaviors and thus H1 and H2 are supported. This clearly indicates that both factors do not only enhance the organizational will in ethical activities but also highly expedite the fulfillment of corporate citizenship behavior. In line with this study, a number of extant empirics confirm their considerable impact on CSR (e.g., Hanke & Stark, 2009; Lamberti & Lettieri, 2009). A manager participating in a focus group interview also confirmed the influence of consumers on CSR by saying that:

‘‘Of course, consumers are an important stakeholder influenc- ing a firm’s decision-making because it can raise brand awareness and improve sales and growth only when it successfully meets consumers’ CSR expectations’’.

A consumer also expressed her identical opinion with the manager (for the reader’s information, Yuhan-Kimberly is an international joint venture established between Korean and American firms. It mainly produces paper handkerchiefs and is famous as a firm vigorously engaged in an environmental protection campaign in Korea).

‘‘For example, we know Yuhan-Kimberly’s public service practices carried out in our society. Therefore, when we see both the products by Yuhan-Kimberly actively conducting CSR and similar other products at supermarkets, consumers generally buy the products produced by the former firm. Another example is a recent dumpling shock. Consumers never buy dumplings that include harmful ingredients to our health. I believe firms cannot disregard consumers’ expectations as consumer trust is difficult to be built up’’.

4 We should probably acknowledge that in our research framework, we did not

distinguish local investors from foreign shareholders, though they do not have

identical characteristics. We suggest that future research needs to examine how

they function differently and minutely investigate their roles for CSR, respectively.

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A CEO states managers and employees as the second consumers and highlights,

‘‘Managers and employees are the second consumers. If the image of their firm where they are working is good, then their self-esteem and loyalty to their firms should be enhanced. This fact functions as a catalyst motivating international firms to conduct extra CSR activities, which confirms that internal managers and employees are major stakeholders for CSR. Moreover, if the employees’ expectations for CSR are high we cannot just ignore them. Company operations cannot be run by one-way management but must be efficiently handled by communication between management and employees at the moment. Thus, the role of managers and employees is becoming more important’’.

Unexpectedly, H3 was rejected, as government is insignificant in all models. According to our focus group interview, governments in emerging markets seem to have little understanding of the necessity to improve MNE performance of CSR in local economies. Although a government officer argues,

‘‘Similarly to other stakeholders, the government also plays some central roles for CSR. Governments have organizations, like ‘Fair Trade Commission’ and ‘the Financial Supervisory Service’ and that is clear evidence. Also, governments try to provide incentives to MNE subsidiaries doing philanthropic work by giving tax cuts in the local market’’.

A CEO points out, ‘‘I agree that there exists governmental regulations on environmental pollution. But the government does nothing on general CSR, except for that’’. Another CEO positively responds to this opinion and says:

‘‘The government is not a main agent emphasizing CSR in Korea yet. I think, the American government forces firms to return at least 10% of total profits to society, and as far as I know, even the Chinese government tends to push firms to be good citizens. But we do not have such a system. Therefore, Korean firms and international subsidiaries spontaneously conduct their CSR without government’s official requests. Korea is not an advanced country and Korean government generally lacks cognition on the importance of CSR’’.

When we blend descriptions above with statements given by an additional CEO running an MNE subsidiary in the Korean market, the reason for the insignificant association between government and subsidiary CSR is perhaps understandable. He points out,

‘‘MNEs normally investigate local markets that they want to enter in advance prior to their investments. If they think CSR regulations are not well formulated in the local market they do not feel a necessity to undertake CSR’’.

Interestingly, suppliers influence is statistically significant, but the significance is negative. This is contrary to the argument of Lindgreen et al. (2009a) as they suggest that a key driver of MNE subsidiaries to be responsible is accountability to their suppliers in the local supply chain. That is, local suppliers may request MNEs to demonstrate that their business operations satisfy environmental and ethical standards in local markets. Thus, the pressure for better ethical performance moves upstream through the value chain. Moreover, in the case where the stakeholder is a large and dominant organization, its pressure can be a formidable force particularly to SMMSs.

However, the results from the regression shown in Table 2 indicate that the citizenship behavior of SMMSs does not depend on the influence of local suppliers. This somewhat surprising result can be understandable if we refer to explanations provided by Lee

and Yoshihara (1997), who examined the level of business ethics of Korean firms. According to them, since the dramatic economic development in Korea, Korean firms have tried to meet elevated social expectations on ethical issues, but their behavior is generally still far from socially responsible. These researchers expand their opinions and state that Korean firms perceive ontological corporate behavior as a necessary change for transparent business, but they do not fulfill the expectations by practicing it in an appropriate manner in the real world. As an example, top management operating a business in the market has a propensity to charge private expenses to the company account.

In addition, bribery is quite a common experience in business contracts when decisive decision-making is required. A more problematic point is that businessmen consider it a normal practice and others also do the same. The survey results from Choi and Nakano (2008) reveal similar reasoning. According to their survey, although Korean firms have achieved notable progress in implementing systematic measures to establish corporate ethics, undesirable customs (e.g., giving of unreasonable gifts, unfair gratuities and bribes) still exist in their business habits. We assume that while Koreans accomplished remarkably faster economic growth than other parts of the world (Bennett, 1999), this final outcome is largely emphasized more than business processes. This may imply that in order to obtain rapid economic developments in many emerging markets, local suppliers in these countries are less likely to focus on CSR. Due to the market characteristics, the negative influence of suppliers in emerging markets on CSR practices by SMMSs is perhaps a reasonable outcome. In addition, our focus group reveals an attention-grabbing fact, and a CEO insists the following (for reference, ‘‘Gap’’ means ‘‘a forceful firm’’, whereas ‘‘Ul’’ denotes ‘‘a powerless organization’’ in Korean jargon).

‘‘No one may deny that in Korea’’, a buyer is a ‘‘Gap’’, and a supplier is an ‘‘Ul’’. In the Gap-Ul relationship, the influence of ‘‘Ul’’ is negligible. The relationship in Korea is not based on a win-win approach, but a supplier is a sort of subordinate. Thus, suppliers are not able to impact subsidiaries’ CSR’’.

Likewise, we have not found a close association between investors and subsidiary CSR, which rejects H5.4 Participants in the focus group confirm the statistical results to characteristics of local investors and social atmosphere in Korea:

‘‘As everyone knows, philanthropic culture in advanced countries is invigorated. On the contrary to those countries, we do not have the same culture. To be honest, I would like to leave my wealth only to my children. I am not interested in philanthropy or society’s restoration’’.

These discussions may explain why investors do not play a pivotal role in enhancing subsidiary CSR in the local market.

Secondary stakeholders comprising competitors, media, local community and NGOs are other factors that are anticipated to be positively associated with MNE CSR. When MNEs attempt to penetrate into foreign emerging markets, they perhaps experience more liabilities of foreignness than entry into developed econo- mies in that investments into emerging markets may encompass various risks stemming from many unknown business environ- ments. Meanwhile, we need to note that secondary stakeholders, who are not directly engaged in business transactions, but still influence or affect, or are influenced or affected by the MNEs, are the ones primarily generating the business risks. In this vein, the

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maintenance of good relationships with secondary stakeholders is a prerequisite for MNEs to be successful in emerging markets, and in addition, CSR practices asked by the former can be a daunting stimulus particularly in the perspective of SMMSs which do not possess strong market power. These discussions indicate that the positive and significant association between secondary stake- holders and CSR practices in Model 2 is logically plausible.

As expected, competitors are confirmed as a strong push factor enforcing subsidiaries to ethically behave in the host economy. All participants in the focus group recognize the importance of the element without a dissenting voice. For example, a CEO contends,

‘‘If a competitor conducts CSR then I also have to do similar actions. If a competitor actively implements social contribu- tions to Korean society, I have to imitate the behavior just in order to survive in the market’’.

However, interestingly, local community loses its statistical power in Model 3, giving only partial support for H8. In order to explore the possible reasons for the results, we ran an additional regression (see Model 4). According to the result yielded by Model 4, the role played by local community is lessened in overseeing MNEs’ ethical behaviors under the presence of local consumers owning a strong willingness to supervise MNE subsidiaries in emerging markets. The creation of a decent subsidiary image is an important key element that determines its performance abroad, and it is perhaps even more crucial for SMMSs to secure operations in relatively unknown emerging markets. In this situation, we presume that local consumers considerably affecting corporate reputation play a pivotal overseer role in forcing MNE subsidiaries to design strict ethical standards and embark on CSR activities in host countries. A bad reputation triggered by local consumers can be a lethal detonator inducing investment failure, and thus it could be deadly for SMMSs suffering from the liabilities of foreignness in emerging markets. Other research also shows similar opinions. For instance, Strike, Gao, & Bansal (2006) suggest that secondary stakeholders (e.g., local community) tend to focus on large visible firms, which are able to generate strong impacts on their societies, and thus the behaviors of large MNE subsidiaries are often seriously monitored and criticized by them. This commentary indicates that these stakeholders draw relatively macro pictures of local societies, whereas other stakeholders, such as consumers, concerned with more direct relationships with firms, attempt to do the same job in the micro way, which sheds light on the role of consumers in particular motivating the CSR practices of SMMSs (Fig. 1 confirms the interaction effects of local community and consumers on subsidiary CSR).

Fig. 1. A graphical representation of moderating effects: Interaction effects of local community and consumers on subsidiary CSR.

In addition, a participant from the local community indicates ‘‘local communities are eager to attract foreign investment for economic benefits, such as economic stimulation and employment creation, and thus it is difficult for local communities to compel MNEs to conduct CSR’’.

According to our statistical results, media is not a factor driving subsidiaries toward CSR. O’Riordan and Fairbrass (2008) point out that larger firms are likely to be more visible and thus are logically subject to more media scrutiny. In this vein, media has a propensity to frequently target large firms, which results in the latter’s increasing interest in protecting its own reputation. Tixier (2003) proposes that large MNE subsidiaries need to address this new opinion risk factor by somehow handling the conduit of communication because they should not overlook the way the media manages events in local markets. Subsidiaries which violate the rules will be seriously criticized by the media, which will considerably deteriorate corporate image in the markets. However, the reason for this unexpected result, which is contradictory to existing empirical evidence, can be found simply from an explanation given by participants from the media. He says ‘‘we are not interested in small foreign subsidiaries’ CSR, and try to supervise large organizations that can provide potentially striking social issues’’.

Unlike these factors, our result confirms findings by previous studies (e.g., Doh & Guay, 2006; Guay et al., 2004) and points to NGOs as an important social guard putting strong pressure even on SMMSs in host markets. A participant from NGOs argues,

‘‘NGOs are often referred to as the third government. Therefore, I believe subsidiaries cannot merely ignore NGO’s social surveillance in local markets’’.

During the focus group interviews, a consumer raised a comparable view supporting the argument above:

‘‘Information spreads through the Internet very quickly in Korea. If an NGO reveals a foreign subsidiary’s unethical behavior on a social network service, such as facebook, the subsidiary should easily be in danger in the local market. That is, an NGO’s insistence will seriously and negatively influence consumer’s purchase intension, which will subsequently affect corporate image. Thus, NGO’s role is surely outstanding’’.

5. Managerial relevance

The primary idea of our argument is that relational elements (i.e., stakeholders) included in our model affect corporate decisions in terms of whether or not subsidiaries will adapt to local CSR practices. In addition, these components may signifi- cantly determine corporate behavioral patterns in local markets and subsequently function as stakeholder pressure influencing subsidiaries to act in a socially responsible manner in local societies. In other words, we expect that the extent to which subsidiaries adapt to local CSR practices and their willingness to invest in CSR issues may essentially depend on the levels of demand of the local stakeholders. In the cases where stakeholders have strong power, SMMSs need to avoid significant conflicts with them, so that the latter will improve its’ organizational image, elevating corporate reputation and possibly enhancing, in turn, organizational performance in target markets. Moreover, we anticipate that it will be particularly important for SMMSs to meet stakeholder demands if they run businesses in emerging economies that have very different institutional business environments with the additional risk of their foreignness. Although, in theory, all stakeholders matter, in reality, the weight of each stakeholder is not identical, and thus MNE subsidiaries need to pay particular attention to influential stakeholders

B.I. Park, P.N. Ghauri / Journal of World Business 50 (2015) 192–204202

(Jamali, 2008). As a result, some stakeholders are highly powerful, while others have relatively limited effect on corporate ethical behaviors. In this vein, MNE managers need to carefully observe the nature of the specific market environment encountered in the host markets and try to create favorable relationships with the strong stakeholder forces rather than mere compliance to demands.

6. Conclusions

In this paper, we have examined determinants potentially influencing CSR practices from a stakeholder perspective. We have focused on SMMSs, as by exploring them, we believe we will be able to understand the fundamental surrounding environments of foreign firms promoting corporate citizenship and further ease and contextualize globalization for firms even when they are SMEs. Factors identified are relational determinants influencing subsidi- ary operations and motivating their CSR behavior in foreign markets. We may need to explain the essential rationale to draw the research framework. Although CSR issues are thoroughly dealt with in some academic areas, such as Strategic Management and Marketing, their implications for MNE subsidiaries associated with CSR have been largely overlooked in International Business research. Through both regression analyses and focus group interviews, we report three key findings: First, ‘consumers’, ‘internal managers and employees’, ‘competitors’ and ‘NGOs’ strongly enforce SMMSs to undertake CSR activities in emerging

Appendix A. Variable measurements

Items (ranging from 1 = very strongly disagree to 5 = very strongly agree)

1. Dependent variable (MNE CSR: adopted from Luo, 2006) (1) Our company has established a set of transparent, comprehensive, and stringent

corruption, and other illicit acts in the host country. (2) Throughout the company, ev

implemented the above codes of conduct. (3) Our company has established an ethics

specifically handles the improvement, training, and enforcement of the above codes of c

utmost value to, and takes actual steps in, enhancing corporate image and reputation. (

regarding product and/or service offerings and is dedicated to adapt to the local cons

credibility, our company has maintained good and stable relationships with local suppli

(7) Each year our company allocates some portion of retained earnings to charitable

recognizes its social responsibility and participates in helping the needy and the outcast

of the local community. (9) Each year our company uses some portion of retained ea

consummate the public infrastructure and environmental protection. (10) The resou

equipment) we invested in local project(s) are always complementary to the host coun

always invest resources (e.g., technology, skills, capital, or equipment) that the local go

The resources (e.g., technology, skills, capital, or equipment) we invested in local pro

development by enhancing technological and managerial knowledge in the local ma

Variable Measurement (ranging from 1

2. Independent variables Consumer

(Adapted from Tian, Wang, & Yang, 2011)

(1) Consumers care about envi

Consumers pay attention to so

donations. (3) Consumers tend

that are socially responsible ra

Internal managers and employees

(Adapted from Munilla & Miles, 2005)

(1) Our managers and employ

potentially contributing to the

employees perceive that CSR e

improves the economic value o

firms need to contribute to loca

and employees believe being et

thing a firm should do

Governments

(Adapted from Qu, 2007)

(1) The local government has st

local government has effective

product and services quality. (3

fair competition

markets. Second, in the case where local supplying firms shed light on financial growth they do not function as a social overseer for the ethical behaviors of MNE subsidiaries. Third, the role played by local community on CSR is significantly influenced by consumers.

On the theoretical side, we contribute to stakeholder theory by identifying key prime movers promoting CSR behavior and providing a short-cut to organizational triumph in the global context. As indirectly discussed above, the characteristics of the domain of international business research reside in the fact that academics and business practitioners commonly view CSR as corporate costs which has often functioned as the fuse of MNE failure in public relations. Due to the same reason, empirical examinations of MNE CSR practices still remain in its infancy. However, we argue that it is time to think about the issue of how MNEs can contribute to local economies. In this vein, our model proposes that the effects of stakeholders surrounding business settings can be an important institutional environment and they play a pivotal role in changing MNE subsidiaries’ CSR practices. Our study points out that we need to explore whether proactive stakeholders’ influence MNE subsidiaries’ CSR practices particu- larly in an emerging economy context. We theoretically contribute to the general CSR literature by proposing that fulfillment of CSR practices and satisfaction to stakeholder demands can help MNEs to strengthen the market positions of their subsidiaries within their network. To sum up, we contribute to CSR literature in that we integrate relational aspects and contextualize the CSR phenomenon with MNE subsidiaries.

Cronbach’s alpha

codes of conduct aiming at resisting bribery,

ery manager and employee has strictly

compliance department or division that

onduct. (4) Our company always attaches the

5) Our company always honors our promises

umers’ needs. (6) Relying on its honesty and

ers, distributors, and other business partners.

organizations. (8) Our company always

s of society and improving a backward facility

rnings to help the local community to

rces (e.g., technology, skills, capital, or

try’s economic development needs. (11) We

vernment needs for social development. (12)

ject(s) always contribute to industrial

rket

0.925

= very strongly disagree to 5 = very strongly agree) Cronbach’s alpha

ronmental protection in the daily consumption. (2)

me social issues involving firm’s charitable

to buy those products which are produced by firms

ther than goods which are fine and inexpensive

0.907

ees perceive CSR as an important mechanism

creation of corporate value. (2) Our managers and

nhances competitive advantage, and eventually

f the firm. (3) Our managers and employees believe

l countries, societies and markets. (4) Our managers

hical and socially responsible is the most important

0.743

ricter regulations to protect the consumers. (2) The

regulations to encourage firms to improve their

) There are complete laws and regulations to ensure

0.943

Appendix A (Continued )

Variable Measurement (ranging from 1 = very strongly disagree to 5 = very strongly agree) Cronbach’s alpha

Suppliers

(Created by this study)

(1) Local suppliers tend to prefer close cooperation with firms which are socially

responsible. (2) Local suppliers tend to prefer the maintenance of cooperation with

firms which are socially responsible. (3) Local suppliers have a propensity to apply

social and environmental requirements to their business relationships

0.831

Investors

(Created by this study)

(1) Investors tend to prefer investment into firms which are socially responsible.

(2) Investors expect firms to implement various and active CSR practices in host

country. (3) Investors actively indicate and support firms’ CSR practices

0.908

Competitors

(Adapted from Lindgreen,

Swan, & Johnson, 2009b)

Due to local business environment, firms suffer from pressure on emulating

competitors’ (1) social, (2) environmental, and (3) ethical policies and practices

0.668

Media

(Created by this study)

(1) Media plays a pivotal role in maintaining and improving public relations

between firms and consumers in the local market. (2) Mass media has a strong

power in shaping corporate image and reputation in the local market. (3)

Compared with other countries, mass media in Korea pays more attention to the

societal role of firms in the local market

0.818

Local community

(Created by this study)

(1) Local communities expect companies to contribute to society development by

volunteering time and effort to local activities. (2) Local communities expect

companies to contribute to society development by getting involved in community

event in non-financial ways. (3) Local communities expect companies to contribute

to society development by providing jobs and treating their employees well

0.925

NGOs

(Created by this study)

(1) NGOs police and supervise effectively corporate activities in the local market.

(2) NGOs have a propensity to attempt to influence the CSR activities of corporate

management by using various instruments. (3) NGO community in the local

market has a sufficient power to exert pressure on multinational enterprises to

change their behavior and corporate strategy on CSR activities

0.872

B.I. Park, P.N. Ghauri / Journal of World Business 50 (2015) 192–204 203

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  • Determinants influencing CSR practices in small and medium sized MNE subsidiaries: A stakeholder perspective
    • Introduction
    • Literature review and theory development
      • Theoretical background
      • Importance of CSR for SMMSs in emerging economies
      • Primary stakeholders
        • Consumers
        • Internal managers and employees
        • Governments
        • Suppliers
        • Investors
      • Secondary stakeholders
        • Competitors
        • Media
        • Local community
        • NGOs
    • Methodology
      • Sample and data collection
      • Variable measurement
    • Results and discussion
    • Managerial relevance
    • Conclusions
    • Variable measurements
    • References

20156-13.pdf

Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 217–229

Contents lists available at ScienceDirect

Advances in Accounting, incorporating Advances in International Accounting

journal homepage: www.elsevier.com/locate/adiac

Determinants of corporate social responsibility disclosures: Evidence from India

Monika Kansal a, Mahesh Joshi b,⁎, Gurdip Singh Batra c

a School of Accounting, Economics and Finance, Deakin University, Melbourne, Australia b School of Accounting, RMIT University, Melbourne, Australia c Punjabi University, Patiala, India

⁎ Corresponding author. E-mail addresses: [email protected] (M. Kansal), m

(M. Joshi).

http://dx.doi.org/10.1016/j.adiac.2014.03.009 0882-6110/© 2014 Elsevier Ltd. All rights reserved.

a b s t r a c t

a r t i c l e i n f o

Available online 18 April 2014

Keywords: Corporate social responsibility Determinants Indian companies Corporate reputation

Over the last few decades, a number of studies, mostly in the western countries, have investigated the nature and frequency of corporate social responsibility disclosures, their patterns and trends, and their general relationships with corporate size and profitability. This study seeks to extend the knowledge regarding the relationship between a number of financial and non-financial corporate characteristics and the level of social responsibility disclosures based on an extensive sample of top Indian companies. Corporate size and industry category are found to correlate with the corporate social disclosures of the companies and the corporate reputation as recognised through awards and social ratings has also been observed to be a significant factor that influences the social disclosures made by the Indian companies.

© 2014 Elsevier Ltd. All rights reserved.

1. Introduction

Over the last few decades, there has been a great deal of academic research into the social reporting practices of corporations operating in different parts of the world. Researchers and academics working in the realm of corporate social responsibility (CSR) have shifted their focus from measuring corporate social responsibility disclosure (CSRD) to exploring its determinants (Eng & Mak, 2003; Ghazali, 2007; Khlif & Souissi, 2010; Kotonen, 2009; Purushotahman, Phil, & Ross, 2000; Saleh, Zulkifli, & Muhamad, 2010). Academic researchers have made rigorous efforts to explore the financial and non-financial determinants of the social and environmental disclosures made by the corporate sector, including: size of the business (Eng & Mak, 2003; Hackston & Milne, 1996; Haniffa & Cooke, 2005; Said, Yuserrie, & Haron, 2009), financial performance (Oeyono, Samy, & Bampton, 2011; Roberts, 1992; Waddock & Gravess, 1997), age of the company (Cormier, Magnan, & Velthoven, 2005; Rahman, Zain, & Al-Haj, 2011), board characteristics (Hossain & Reaz, 2007) and nature of the industry.

The motivation for this paper emerges from the realisation that most of the research in this sphere of knowledge has explored CSRD in the western world, and only a small number of studies have been conducted into CSRD and its determinants in developing economies such as India, Pakistan, Malaysia and Indonesia. There has been little

[email protected]

research on the Indian corporate sector despite the strong global contri- bution of the Indian economy. To the best knowledge of the authors, only a few studies have explored the determinants of voluntary CSRD in the Indian context. Three decades ago, Singh and Ahuja (1983) con- ducted a study on the determinants of CSRD on public sector companies. Hossain and Reaz's (2007) study was limited to the banking sector and the index used considered only eight items related to CSR (out of a total of 65 items). There is a need for a comprehensive research study in the Indian context that explains the level of CSRD and the factors explaining disclosures.

Besides the existing gap in the literature on CSRD in the Indian con- text, the other motivation for this study is the need to measure and under- stand the level of CSRD and its determinants before the application of the Corporate Social Responsibility Voluntary Guidelines issued by the Ministry of Corporate Affairs, India (2009), the Guidelines on Corporate Social Re- sponsibility for Central Public Sector Enterprises (2010, 2012) and the Com- panies Bill 2012, which has made CSR disclosures mandatory in India.

As per the guidelines, CSR is a company's commitment to operate in an economically, socially and environmentally sustainable manner, while recognising the interests of various stakeholder groups. These guidelines provide for resource allocation towards CSR projects in rela- tion to their declared profits in a particular year and include regulations for the implementation, monitoring and reporting of social disclosures. They became law in 2013 after the Companies Bill 2012 passed through the upper house of India's parliament. These regulatory changes may have an impact on social performance and CSRD by companies in India in the future. Therefore, this study will contribute to the existing

218 M. Kansal et al. / Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 217–229

literature on the determinants of CSRD by providing an overview of the level of CSRD in the pre-mandatory regime. Future research into CSRD can use the findings of this study as a comparative base to measure the impact of the CSR legislation in India.

2. Corporate social responsibility

2.1. Overview

CSR has sustained the attention of academics, researchers, non- government organisations and governments over a long period and has emerged as an important dimension of companies' operational ac- tivities (Vilanova, Lozano, & Arenas, 2009). The increased globalisation of trade, the rise in the strategic importance of stakeholder relationships and the growth of corporate image management have been key drivers of the increased importance of CSR (Azim, Ahmed, & Islam, 2009). Unfortunately, CSR does not yet have an accepted universal definition. Current CSR definitions are ambiguous, and differing interpretations (Valor, 2005) and perspectives (Balasubramanian, David, & Fran, 2005) have been adopted. Dahlsrud (2008) analysed 37 definitions of CSR originating from 27 authors and covering the period 1980–2003. Rather than attempting a comprehensive definition of CSR, the definition used here is that given by the World Business Council for Sustainable Development (World Business Council for Sustainable Development, 1998): ‘The commitment of business to contribute to sustainable eco- nomic development, working with employees, their families, the local community and society at large to improve their quality of life.’

2.2. Why Indian CSR is unique

The CSR scene in India is unique for multiple reasons. The first and most important is the country's ‘family-centered’ style of management— most of the large corporations in India are controlled by family groups (Sundar, 2000). CSR has been practised by leading family corporations for over 100 years as a family tradition (Balasubramanian et al., 2005; Sagar & Singla, 2004). Thus, selection of CSR initiatives (benefactions for education, medical facilities and so forth) is influenced by the specific cultural and social preferences of the individual family. For example, the founders of the Tata Group established the JN Tata Endowment Fund in 1892 to encourage Indian scholars to take up higher studies abroad. This was the first of a large number of philanthropic initiatives by the Tata Group. Over generations, members of the Tata family have contributed much of their personal wealth to the many trusts that they have created to benefit Indian society.

The second unique feature of CSR in India is the lack of a formal and widely accepted mechanism for corporate reputation ratings such as Kinder Lydenberg Domini (KLD), Fortune, Moskowitz and Business Ethics; thus, corporate social performance (CSP) is not promoted. In India, Karmayog provides a rating for companies on the basis of their so- cial performance (Karmayog, 2004), but the extent to which companies themselves and various stakeholders value these ratings has not yet been investigated. The conferring of various awards by the government and other social agencies provides recognition of companies' social and environmental endeavours. Companies voluntarily report their CSR efforts/awards in various business dailies, annual reports and websites. Better-performing CSR companies are more concerned about the read- ability of their CSRD (Abu & Ameer, 2011).

The third feature is the sets of guidelines for CSR reporting in India: the Corporate Social Responsibility Voluntary Guidelines (2009 and 2010) issued by the Ministry of Corporate Affairs, the Guidelines on Corporate Social Responsibility for Central Public Sector Enterprises (2010, 2012) and now the Companies Bill 2012. However, not all companies adhere to these guidelines because the observance of law is generally quite poor in India (Prieto‐Carrón, Lund‐Thomsen, Chan, Muro, & Bhushan, 2006). This fact is confirmed by poor implementation, monitoring and reporting of CSR mechanisms in Indian government companies (Report

no. CA 22). It also inspires research into the question that if legal compli- ance is poor, what else might drive companies to disclose or not to disclose?

Finally, India is a fast-growing economy that has witnessed substan- tial corporate and economic growth in recent years, particularly in the post-liberalisation era. Former United Kingdom (UK) Prime Minister Gordon Brown advised that India could emerge as the fastest growing economy in the world in the next 10 years (Hindustan Times, 2010). India is the first country in the world to mandate the spending of 2% of the average net profits of three years immediately preceding the reporting period (Companies Bill 2012). In addition, boards of directors are required to disclose the contents of CSR policy in their reports. Given the uniqueness of Indian corporations, research into the degree of CSRD – and the factors that drive companies to make high or low CSRD – attracts a great deal of interest.

3. Literature review

A literature review highlights the dearth of academic research into CSRD in developing countries (Azim et al., 2009), although there have been a large number of studies in the western world. Some prominent CSRD studies in the western world include Guthrie and Parker (1990); Roberts (1992); Gray, Kouhy, and Lavers (1995) and Gray, Javad, and Sinclair (2001). Studies in the UK include Samuel and Brian (2004) and Gray et al. (1995); in Canada, Zeghal and Ahmed (1990); in South Africa, Savage (1994); in New Zealand, Hackston and Milne (1996); in Western Europe, Adams, Hill, and Roberts (1998); in the UK and Germany, Adams (2002); and in Australia, Deegan and Rankin (1999), Deegan, Rankin, and Voght (2000) and Barut (2007). Studies in develop- ing countries are minimal except for recent studies on CSR in Bangladesh (Azim et al., 2009; Khan, Muttakin, & Siddiqui, 2012).

The vast amount of literature devoted to CSRD throughout the world is a testimony to the importance of the concept over time. The determinants of CSRD are a research area receiving increasing attention. The relationship of CSRD as determined by financial attributes (size, profitability and the leverage of the firms) has been widely investigated and reported in the management and social sciences literature in devel- oped countries (Haniffa & Cooke, 2005; Amran and Devi, 2008; Mahadeo, Hanuman, & Oogarah-Soobaroyen, 2011; Crisóstomo, Freire, & Vasconcellos, 2011). In South Asian countries in general, and specifi- cally in India, research is limited to the nature and extent of CSRD (Singh & Ahuja, 1983; Cowen, Ferreri, & Parker, 1987; Vasal, 1995; Chaudhri & Wang, 2007; Murthy & Abeysekera, 2008).

The determinants of CSRD in emerging countries are not defined in the existing literature. In India, very few studies explore inter-industry variations and the determinants of CSRD (Hossain & Reaz, 2007; Porwal & Sharma, 1991; Singh & Ahuja, 1983). Singh and Ahuja's (1983) study analysed 40 annual reports of public sector companies by employing the content analysis technique. It covered 33 items of social disclosure and found that 40% of Indian public sector companies disclosed 30% of the total CSRD items under consideration. The study examined the relationship between corporate social reporting and com- pany size, age, profitability and industrial grouping, and concluded that company size, earning margin and industry type were statistically sig- nificant in explaining the extent of social disclosure. As one of the initial studies, it explored only a small number of CSRD items and covered only public sector enterprises. Porwal and Sharma's (1991) study demon- strated that larger companies – measured by the size of their disclosed assets – made greater CSRD than smaller companies. The rate of return and earnings margin did not explain much variance in CSRD. The most recent study in an Indian context was conducted by Hossain and Reaz (2007). The study is quite limited in scope and used only a small sample of 38 banking companies; at best, the results are indicative of corporate characteristics explaining CSRD in India. The study stressed size and assets-in-place as significant determinants of CSRD.

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Academic research has identified the need for more studies into CSRD in the context of developing countries (Ghazali, 2007). This paper aims to fill this knowledge gap by examining the level of disclosures made by top Indian companies and analysing the financial and non-financial determinants of CSRD. The primary objective of the study is achieved through the following research questions:

1. What is the level of CSRD made by top Indian firms? 2. Is there any difference in the level of disclosure based on the nature

of industries? 3. To what extent is CSRD determined by the size, profitability (in the

current year or the previous year) or risk of the company? 4. Does the corporate social reputation of a company determine its level

of CSRD?

To answer these research questions, this study measures the CSRD of the top 100 companies in India and relates the weighted corporate social, environment, energy and emissions (CSEEE) scores (measured on a six-point scale) to financial and non-financial determinants. This study is the first to explore non-financial factors as determinants of CSRD in the Indian context. An effort has been made to add a new dimension to the literature on the determinants of CSRD by connecting CSRD in India to corporate social reputation. This study has used tradi- tional financial variables (size, profitability, risk, age and industry) and surrogates for the non-financial attributes (corporate reputation) in the univariate and multiple regression models. The study is innovative because it tries to examine hitherto unexplored areas of CSR reporting and relies heavily upon the extant literature on corporate communica- tion and reputation management to sketch the significant relationship between corporate social reputation and CSRD. By establishing the relationship between CSRD and corporate social reputation, the study makes a significant contribution to the existing literature on the deter- minants of CSRD.

4. Theoretical framework and hypotheses

4.1. Relationship between CSR disclosures and financial corporate characteristics

4.1.1. CSR disclosures and company size The existing literature reports that the size of a company influences its

social disclosures (Dierkes & Preston, 1977; Patten, 1991; Roberts, 1992; Hackston & Milne, 1996; Adams et al., 1998). This leads to the hypothesis that larger firms disclose CSR information to a greater extent than smaller firms (Aras et al., 2010; Gray et al., 2001; Hossain & Reaz, 2007; Purushotahman et al., 2000; Siregar & Bachtiar, 2010). Porwal and Sharma's (1991) study argued that larger Indian firms in both the public and private sectors made greater CSRDs than smaller firms.

It is understandable that larger companies make more disclosures because they tend to receive more attention from the general public and are therefore under greater pressure to exhibit social responsibility. Moreover, these companies are likely to have more shareholders who are concerned with the social programmes undertaken by the company (Cowen et al., 1987), greater visibility in supply-chain management (CSRWORLD survey report 2002 series), a greater need to legitimise their actions and limit governmental interference in their business activ- ities (Purushotahman et al., 2000), and more infrastructure and higher cash flows at their disposal (Crisóstomo et al., 2011). Therefore, the direc- tional hypothesis is formulated by relating CSRD to company size:

H1. Large-sized companies tend to disclose more CSR information than small-sized companies.

H1a. Firms with a higher level of sales disclose CSR information to a greater extent than firms with a lower level of sales.

H1b. Firms with a higher level of total assets disclose CSR information to a greater extent than firms with a lower level of total assets.

4.1.2. Relationship between CSR disclosures and profitability The literature's research results on corporate profitability as a deter-

minant of CSRD appear inconclusive. They present a mixed reaction in the form of a positive, negative or uncertain relationship between a firm's profitability and CSRD. Some researchers failed to find any associ- ation between profitability and CSRD (Porwal & Sharma, 1991; Hackston & Milne, 1996; Aras et al., 2010). Other researchers found a positive and significant relationship between profitability and CSRD (Oeyono et al., 2011; Roberts, 1992; Waddock & Gravess, 1997). Crisóstomo et al. (2011) argued that spending resources on CSR can only be justified to the shareholders and creditors by excess cash flows arising from higher portability. Further, a few studies have asserted that there is a negative relationship between CSR initiatives and disclosures and financial performance, on the premise of the high cost of extensive charitable contributions, community development plans, the maintenance of facilities in economically depressed locations and the establishment of environmental protection procedures (McGuire, Sundgren, & Schneeweis, 1988; Siregar & Bachtiar, 2010; Rahman, 2011).

Regarding the market rate of return, some studies indicated that CSR has an impact on the financial markets (Shane and Spicer, 1983). Some researchers examined the value-relevance of corporate environmental reputation (CER) information and its potential usefulness to investors in predicting future earnings (García-Ayuso and Larrinaga, 2003; Hussainey and Salama, 2010). These researchers contend that the firms with higher CER scores exhibit higher levels for the share-price anticipation of future earnings than the firms with lower CER scores. Saleh et al. (2010) examined the rela- tionship between CSRD and the market prices of stock, and reported that CSRD can be leveraged to attract institutional investors to actively invest in public limited companies with strong CSR practices. Thus, empirical results provide evidence that CER information influences market prices.

Based on the mixed results shown by earlier studies investigating the relationship between profitability and CSRD, three measures of prof- itability are considered: first, profit after tax (PAT) at the beginning and end of the year; second, a relative measure return on capital employed (ROCE); and third, a market-based measure (that is, the market price for the shares of the respective company). The discussion above leads to the development of the following hypotheses exploring the connec- tion between CSRD and financial performance:

H2. Firms with higher profitability disclose CSR information to a greater extent than those with lower profitability.

H2a. Firms with higher PAT at the beginning of the year disclose CSR information to a greater extent than those with lower PAT.

H2b. Firms with higher PAT at the end of the year disclose CSR information to a greater extent than those with lower PAT.

H2c. Firms with a higher ROCE disclose CSR information to a greater extent than those with a lower ROCE.

H2d. Firms with higher stock market prices disclose CSR information to a greater extent than those with lower stock market prices.

4.1.3. CSRD and risk The relationship between CSRD and risk is not as widely explored by

academic researchers as CSRD's relationship with firm size and profit- ability. However, a significant relationship between CSRD and risk is traced in the earlier literature, highlighting that firms with a higher degree of debt/equity ratio (DER) make higher CSRD (Khlif & Souissi, 2010; Purushotahman et al., 2000). Siregar and Bachtiar (2010) con- cluded that leverage does not have a significant impact on corporate social reporting. Based on the empirical findings of these studies, the

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following hypotheses are suggested to test the relationship between CSRD and risk:

H3a. Firms with higher financial leverage disclose CSR information to a greater extent than firms with lower financial leverage.

H3b. Firms with higher values for beta disclose CSR information to a greater extent than firms with lower values for beta.

Note, risk is considered in terms of financial leverage measured through the debt to equity ratio (DER) and the market systematic risk, beta.

4.1.4. CSRD and industry The insights provided by the literature present a mixed answer to the

question of whether industry affiliation influences the communication of social information. A large number of studies, mostly conducted in de- veloped countries, have established that industry sector is significantly associated with amount of corporate social disclosure (Cowen et al., 1987; Roberts, 1992; Tilt, 1994; Hackston & Milne, 1996; Adams et al., 1998; Gray et al., 2001; Graafland et al., 2003; Kotonen, 2009). However, other researchers trying to associate corporate social reporting with in- dustry size could not gather enough evidence to confirm or refute the as- sociation (Andrew et al., 1989; Purushotahman et al., 2000). The relationship between CSRD and industry groups has not been widely ex- plored in the Indian context.

The relationship between industry and corporate social disclosure can be the result of consumer perceptions, government pressure (Cowen et al., 1987) or the environmental or social impacts of a partic- ular industry (Cowen et al., 1987; Dierkes & Preston, 1977; Patten, 1991; Roberts, 1992; Hackston & Milne, 1996). The need for CSR and CSRD can be the result of the supply of resources peculiar to that industry; for ex- ample, Murthy and Abeysekera (2008) suggested that a shortage of skilled labour in the software sector in India might have led to CSRD practices in the human resources (HR) category. The discussion above forms the foundation for the following hypothesis associating industry and CSRD:

H4. The specific industry to which a firm belongs establishes/ determines the level of CSR disclosures by that firm.

4.1.5. CSRD and age of firm Previous research has established that the age of a firm influences

the CSR involvement of the firm and that long-established firms are likely to make greater voluntary social disclosures. Some researchers (Cormier et al., 2005; Roberts, 1992) reported a positive relationship, while others (Rahman et al., 2011) denied any relationship between the age of the firm and CSR disclosures. The hypothesis testing the rela- tionship between CSRD and age is as follows:

H5. Long-established companies disclose more CSR information than newly established companies.

4.2. Relationship between CSRD and non-financial corporate characteristics

The research community tends to explore newer attributes to explain CSRD—for example, the political economy framework, reduced cost of capital, culture, research and development intensity, and corpo- rate governance characteristics (Dhaliwal, Li, Tsang, & Yang, 2011; Ghazali, 2007; Khlif & Souissi, 2010; Kotonen, 2009; McWilliams, Siegel, & Wright, 2006; Purushotahman et al., 2000; Saleh et al., 2010). This paper attempts to investigate a new variable in CSRD research as it makes an effort to determine the role of corporate reputation in explaining CSRD level.

4.2.1. CSRD and corporate reputation Reputation is a measurement of organisational character (Devine &

Halpern, 2001). Bebbington, Larrinaga-Gonzalez, and Moneva (2008) proposed that a negative social or environmental incident affects an organisation's reputation, which in turn has a second-order impact on corporate legitimacy. There is no doubt that firms use CSRD to influence public perceptions, to legitimise their actions (Abu & Ameer, 2011; Saleh et al., 2010), to protect and enhance their reputation and image (Neu, Warsame, & Pedwell, 1998; Hooghiemstra, 2000; Saleh et al., 2010; Abu & Ameer, 2011) and for increased visibility (Burke & Logsdon, 1996). CSRD favourably influences the reputation of a firm (Fombrun & Shanley, 1990; Zyglidopoulos, 2001; Siltaoja, 2006; Hidayat, 2011). Socially reputed firms tend to make more CSRDs to maintain their CSR image. For example, firms such as the Tata Group, the Birla Group, Infosys and Wipro need to make disclosures to assure the public of their continuous provision of socially desirable ends and that they are not deviating from the high standards established in the past (Deegan, 2010, 331). Hence, we make the follow- ing hypothesis:

H6. More socially reputed companies make greater CSRDs than less socially reputed companies.

5. Research methodology

The purpose of this research is to investigate the association be- tween CSRD and corporate financial characteristics such as profitability, risk and size, and non-financial factors such as age, industry and corpo- rate reputation. This objective has been achieved by investigating the CSRDs made by the top 100 companies in the Bombay Stock Exchange (BSE) 500 index and relating their disclosure levels to financial and non-financial determinants. The content analysis method is used to measure the CSRD of the sample companies.

5.1. Construction of CSEEE index

An index is constructed based on an extensive list of items of social importance (Hackston & Milne, 1996; Hall, 2002) and earlier CSRD indi- ces used to capture India's specific disclosure items (Porwal & Sharma, 1991; Singh & Ahuja, 1983). Some items specific to the Indian context, such as reservation to minority communities – scheduled castes and scheduled tribes, midday meals for children, mass-marriage programmes and so forth – were included based on a pilot study of the annual report disclosures of 20 Indian companies. Another category – emission of car- bon and harmful gases – was added to reflect recent changes in the social and environmental reporting arena. This process generated a total of 111 items. Cronbach's alpha was run to assess the reliability/internal consis- tency of the disclosure index. Cronbach's alpha is calculated as:

α ¼ t t−1

1− Σ n i¼1σ

2yi σ2γ

! ð1Þ

where: i is the number of components (111 items here), σχ 2 is the vari-

ance of the observed total disclosure score and σ2yi is the variance of item i for the 20 companies randomly selected for the pilot study.

The value of Cronbach's alpha on standardised items (N = 111) is 0.864 and 15 items with zero variance are excluded from the final index. The final CSEEE index consists of 96 items (given in Appendix A), classified under seven themes, as used by Kansal and Singh (2012): community development (CD), HR, product and services—safety and innovation (PSI), environment (ENV), energy (ENG), emissions (EMN) and ‘Others CSR’. The data regarding corporate financial characteristics has been taken from the Prowess database managed by the Centre for Monitoring the Indian Economy (CMIE).

Table 1 Reliability and scale statistics.

Cronbach's alpha

Cronbach's alpha based on standardised items

N Mean Variance Standard deviation

0.875 0.864 111 110.2500 418.467 20.45646

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The weighted mean disclosure for the year 2009–2010 has been calculated using the following formula based on a 0–5 rating scale to calculate the extent of CSRD:

CSEEEscorei wð Þ ¼ Xj 1

Xn i¼1

dij ð2Þ

where: j represents the number of companies (80 final companies in the sample);

dij 0 if the item has not been disclosed; dij 1 if one or less than one sentence has been disclosed; dij 2 if more than one sentence has been disclosed; dij 3 if only one quantitative figure is found; dij 4 if the disclosure is non-monetary and comprises more than

one figure; dij 5 if the disclosure is expressed in monetary terms; and n the maximum number of items a company is expected to

disclose (96 items).

First, a univariate regression analysis is run to explore various inde- pendent variables that could finally be used in multiple regression models. Prior research used different measures of profitability such as return on sales, assets and equity to discover whether using different measures of profitability lead to measureable improvements (Callan & Thomas, 2009). The financial explanatory variables used are sales, total assets (proxy for size), PAT, ROCE, market prices (that is, an average of the closing market price for the last 365 days—proxy for the market rate of return), DER (an accounting measure of financial leverage) and beta (the systematic risk relating to stock and financial markets). The natural log of total assets, total sales and PAT is used because of a high level of skewness of these variables. Previous studies used total assets/ log of total assets as a proxy for the size of the company (Eng & Mak, 2003; Hackston & Milne, 1996; Haniffa & Cooke, 2005; Said et al., 2009).

Relative measures of profitability have also been widely used by many CSRD researchers (Eng & Mak, 2003; Haniffa & Cooke, 2005). The awards and certifications received by a company in various categories of CSR are used as a proxy for corporate reputation. Social reputation is measured on a rating scale of 0–6, representing the number of CSR categories in which a company has received awards or certifications. A

Table 2 Profile of the sample by industry group.

Industry group Industry Frequency Percent

IND1 Refineries and oil drilling & exploration 10 12.5 IND2 Telecommunications & computers—

Software 10 12.5

IND3 Steel & metals—Non ferrous 7 8.8 IND4 Power—Generation/distribution 9 11.3 IND5 Pharmaceuticals 6 7.5 IND6 Engineering & auto 10 12.5 IND7 Construction & contracting 6 7.5 IND8 Cement—Major 3 3.8 IND9 Miscellaneous 18 23.8 Total 80 100.0 Form of ownership Public 18 22.5

Private 62 77.5 Total 80 100.0

company is regarded as socially reputed for a CSR category if it receives any award/certification in that category. As there are six categories of CSR (ENV, ENG, HR, PSI, CD and EMN), any company could earn a maxi- mum of six. The rating scale better measures corporate reputation than the absolute number of awards because companies can receive multiple awards for the same endeavours from different social constituents. The age of the firm has been extracted from the Prowess database as the number of years since its establishment, as used by previous research studies (Roberts, 1992; Yong, Chang, & Martynov, 2011).

5.2. Regression models for determining CSEEE scores

The following simple regression model is used to explore the rele- vant predictors and five different multiple regression models are used to understand the specific contribution of each explanatory variable in determining the CSEEE scores:

Model 1 : CSEEE score ¼ α þ β1IND þ ε ð3Þ

Model 2 : CSEEE score ¼ α þ β1IND þ β2logPATt−1 þ ε ð4Þ

Model 3 : CSEEE score ¼ α þ β1IND þ β2logPATt−1 þ β3logTAt þ εð5Þ

Model 4 : CSEEE score ¼ α þ β1IND þ β2logPATt−1 þ β3logTAt þ β4logPATt þ ε ð6Þ

Model 5 : CSEEE score ¼ α þ β1IND þ β2logPATt−1 þ β3logTAt þ β4logPATt þ β5Age þ ε ð7Þ

Model 6 : CSEEE score ¼ α þ β1IND þ β2logPATt−1 þ β3logTAt þ β4logPATt þ β5Age þ β6SocRepu þ ε ð8Þ

where:

IND is the industry classification; PAT is the profit after taxes; logPATt − 1 is the log of PAT at the beginning of the year; logTAt is the log of total assets of the firms; logPATt is the log of PAT for the current year; SocRepu is the social reputation scale. Ε is the error term.

Table 2 provides the sample selection and an overview of the selected companies along with the code assignment scheme that is used for analytical purposes. (See Table 1.)

Table 2 provides a broad outline of sample companies. Of the top 100 companies selected in the sample for the year 2009–2010, the 20 com- panies in the financial sector have been excluded because some of the themes of CSR – such as ENG, ENV, product and carbon disclosures – are not directly relevant to financial sector companies (Raffournier, 1995; Depoers, 2000; Haniffa & Cooke, 2002). For example, Brammer and Pavelin (2008) argued that the financial sector, being a service- oriented industry, has fewer environmental concerns and impacts. This sample of 80 companies is a logical sample to generalise the

Table 3 Descriptive statistics of CSEEE score and financial variables (N = 80).

Variable Min Max Mean S. E. Mean Std. Dev. Skewness

CSEEE 3.00 120.00 47.43 3.48 31.10 0.50 Sales 0.00 329,987.00 20,990.97 5009.28 44,804.37 5.01 Total assets 68.53 24,5953.16 24,883.37 4214.92 37,699.35 3.68 PATt − 1 −1044.80 16,126.32 1833.21 318.64 2849.96 3.33 PATt −1414.09 16,767.56 2189.03 351.26 3141.75 2.95 Age of firm 3.00 103.00 38.84 2.63 23.49 0.61 Reputation score 0.00 6.00 1.14 0.17 1.51 1.10 ROCE (%) −20.16 134.33 17.88 2.14 19.13 3.13 M.P 32.99 4024.63 610.79 75.44 670.51 2.42 Debt/equity ratio 0.00 4.00 0.55 0.08 0.75 2.06 Beta 0.31 2.04 1.02 0.05 0.41 0.50

Sales, total assets and PAT are in ≤Crores (one crore rupees = 10 million rupees). The market prices of stock are taken as the average of the closing price over 365 days. Reputation score: Corporate social reputation score.

Table 5 Summary statistics and ANOVA for CSEEE scores and awards and certifications.

Panel A: Summary statistics for CSEEE scores and awards and certifications

Corporate reputation (0–6 scale) N Mean Standard deviation

0 21 20.90 16.2293

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findings of the study, as is represents 21 of the industrial sectors classi- fied by the BSE. Prior studies have used sample sizes of less than 100 companies to understand corporate sector CSRD levels in a country— for example, Hackston and Milne (1996) with a sample of 50 compa- nies. The 80 companies in this sample have been recorded into nine in- dustry groups on the basis of the nature of the industry. Any company in an industry group for which the number of companies is equal to or less than two has been put into the miscellaneous category. Refineries and oil drilling and exploration, telecommunications and computers—soft- ware and engineering, and automobiles are the three dominant groups, with 10 companies each; together, they represent 37.5% of the total study sample. The steel and metals industry consists of 8.8% of the sam- ple, while the power-generation/distribution and construction and contracting industries each comprise 7.5% of the sample. Of the sample companies, 77.5% are privately owned and 22.5% are under public ownership.

6. Analysis and discussion

Table 3 displays the descriptive statistics of the CSRD of the 80 companies in the sample.

The mean CSEEE score per company is 47.43. This score is very low compared to a total possible score of 480 (i.e., 96 indicators times the maximum score of 5). The range of CSEEE scores varies widely, from 3 to 120. The literature indicates that the CSRD is low in developing coun- tries (Chaudhri & Wang, 2007; Azim et al., 2009; Menassa, 2010). The average sales are ≤209,909 million and the mean total assets and PAT

Table 4 Total CSEEE scores across industry grouping and ANOVA for CSEEE scores by industry grouping.

Panel A: Total CSEEE score across industry grouping

Industry groups Mean Std. deviation Skewness

Refineries and oil drilling & exploration 52.50 29.372 0.881 Telecommunications & computers—Software 43.50 29.319 0.826 Steel & metals—Non ferrous 82.14 32.143 −0.037 Power—Generation/distribution 56.00 30.046 −0.005 Pharmaceuticals 36.67 28.353 0.734 Engineering and auto 45.60 29.330 0.636 Construction and contracting 30.00 30.705 1.378 Cement—Major 38.67 12.503 1.621 Miscellaneous 41.21 31.336 0.391 Total 47.43 31.100 0.501

Panel B: ANOVA for CSEEE score by industry grouping

Source Sum of squares Df Mean square F-ratio p-Value

Between groups 16,484.5 8 2060.57 2.33 0.0275* Within groups 62,666.2 71 882.62 Total (Corr.) 79,150.8 79

*, ** Correlation is significant at the 0.05, 0.01 level respectively (2-tailed).

are ≤248,833 million and ≤18,332 million respectively. The descrip- tive statistics show that the data are positively skewed in the CSEEE scores, indicating that most of the companies made less than the aver- age number of disclosures because the data lie on the left side of the mean.

Table 4 provides an overview of the mean CSR disclosure of sample companies categorised into nine industries. The top Indian companies scored 47.43 against a maximum score of 480—that is, they disclosed approximately 10% of all possible CSR information in their annual re- ports. Further, Table 4 indicates that the highest scoring industry was steel and metals—non-ferrous (82.14), followed by power-generation/ distribution (56), and refineries and oil drilling and exploration (52.5). The construction and contracting (30) and pharmaceuticals (36.67) in- dustries made relatively low disclosures. The cement industry had the lowest overall variability in CSRD. The CSEEE scores for steel and metals, and power-generation/distribution depict negatively skewed data, im- plying that many of the companies in these industries had higher CSR disclosures than the average overall disclosures of all industries. For all of the other industries, the CSEEE scores are positively skewed, showing most of the clusters of data on the left side of average; this means that

1 18 44.44 24.2031 2 12 55.33 24.4813 3 14 51.14 32.6045 4 9 72.56 28.6361 5 5 74.20 45.5104 6 1 107.00 0.0000 Total 80 46.88 31.6529

Panel B: ANOVA for CSEEE score by awards and certifications

Source Sum of squares Df Mean square F-ratio p-Value

Between groups 28,667.1 6 4777.85 6.91 0.0000** Within groups 50,483.7 73 691.56 Total (corr.) 79,150.8 79

Contrast Sig. Difference +/−Limits

0–1 * −23.5397 16.835 0–2 * −34.4286 18.966 0–3 * −30.2381 18.084 0–4 * −51.6508 20.881 0–5 * −53.2952 26.080 0–6 * −86.0952 53.644 1–4 * −28.1111 21.397 1–5 * −29.7556 26.495 1–6 * −62.5556 53.847

*, ** Correlation is significant at the 0.05 and 0.01 level (2-tailed), respectively.

0 1 2 3 4 5 6

Means and 95.0 Percent LSD Intervals

Awards and certifications

0

30

60

90

120

150 C

S E

E E

sc o re

Fig. 1. CSEEE scores and awards and certifications.

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the telecommunications and computers—software, pharmaceutical, engineering and auto, construction and contracting, cement and miscel- laneous industry categories made fewer disclosures. The high values of the standard deviations, ranging from 12% to 32%, support the hypoth- esis that the CSRD practices of firms are influenced by their industry grouping, proving that industry grouping is a statistically significant factor in determining CSR disclosures.

A one-way analysis of variance (ANOVA) has been conducted for the CSEEE score to test whether there are any significant differences among the means of the CSEEE scores for the various industries. The F-ratio, equal to 2.3346, and a p-value b 0.05 indicate that there is a statistically significant difference between the mean CSEEE score from one industry to another at the 95.0% confidence level (see Table 4: Panel B). There- fore, it is concluded that the amount of CSRD by a firm is determined by the industry to which it belongs.

Panel A of Table 5 explains the summary statistics for the CSEEE score categorised into various groups based on social reputation. It was found that the higher the social reputation of the company, the higher the level of CSRD. The 21 companies that received no awards/ certifications during the year have the lowest CSEEE score (20.90); the disclosure of the next 18 companies, which received at least one award/certification, is noticeably higher (44.44). The companies that scored 4, 5 and 6 in social reputation made higher average CSR disclosures of 72.56, 74.2 and 107 respectively. Thus, the companies whose efforts have been recognised through awards/certifications are encouraged to

Table 6 Univariate regression results for CSRD on financial determinants.

Independent variable (expected sign)

Intercept (p-value)

Slope (p-value)

Sales (+ve) 14.4451 (0.5091)

3.65543 (0.1293)

Log of total assets (+ve) −17.8376 (0.4991)

6.86606 (0.0151)*

Log of PATt − 1 (+ve) −12.9984 (0.5299)

8.72416 (0.0041)**

Log of PATt (+ve) −10.010 (0.592)

18.612 (.003)

ROCE (+ve) 6.4572 (0.0000)**

0.0133801 (0.6181)

Market Prices (+ve) 46.1866 (0.0000)**

0.00147 (0.8346)

Debt Equity ratio (DER) (+ve) 6.93868 (0.0000)**

−0.437738 (0.5218)

Beta (+ve) 54.4416 (0.0000)**

−7.4073 (0.3991)

Age (+ve) 33.6681 (0.0000)**

0.340056 (0.0239)*

*, ** Correlation is significant at the 0.05 and 0.01 level (2-tailed), respectively.

communicate their CSR initiatives. The existing literature also supports this finding. Sumiani, Haslinda, and Lehman (2007) reported that the awards/prizes/certifications made by a government – for example, the Malaysia Environmental and Social Reporting Awards (MESRA) – have some level of influence on voluntary environmental reporting in Malaysia.

Panel B of Table 5 shows significant differences between the CSRD of companies with a social reputation score of 4, 5 or 6, and companies with a social reputation score of 1. Moreover, the non-award-receiving companies disclosed significantly less than the companies that received awards or certifications, even in one arena.

Fig. 1 contains a graph of the means 95% LSD intervals for the CSEEE scores and awards and certifications for the companies in the sample.

Table 6 presents evidence that the size of the company, measured in terms of the total assets, determines the level of social disclosures made by the company, with R2 = 3.56. However, the relationship between total sales (measured by the size of the firm) and CSRD is not significant. The company's financial performance in absolute terms (i.e., PAT) ex- plains a significant proportion of the variation in CSRD (R2 = 10.62% for PAT with lagging effect, 10.1% for PAT for the current year). However, profitability in relative terms (i.e., ROCE) and the market-based return of profitability do not significantly contribute to an explanation of the variations in CSRD. Earlier research by Wu (2006) confirmed that an accounting-based measure of profits is a better predictor of social per- formance than market-based measures. The statistical results for DER (R2 at 0.53%) and beta (0.91%) are not significant at a 95% level of confi- dence, rejecting Hypotheses H3a and H3b. Similar to the earlier results reported by Branco and Rodrigues (2006), this study found a negative relationship between CSRD and financial leverage (β = −.44). Thus, contrary to expectations, a significant relationship was not found between risk (either financial or market) and CSRD. Further, the earlier literature substantiates that leverage does not influence CSRD in a sta- tistically significant manner (Haniffa & Cooke, 2005, 395).

The age of a firm is a statistically significant determinant of its CSRD, with R2 = 6.37% and β coefficient = 0.34, significant at a 95% level of confidence. As the beta coefficient is positive, the relationship is direct, concluding that the older firms make more social disclosures. Cormier et al. (2005) also found that the age of a business significantly influences the disclosure patterns of the firm. This relationship may exist because long-established firms have received more benefits from society than newly established firms and, with time, the relationship matures and the firm undertakes a greater leadership role, developing an increased

Adj. R2

(%) F-statistic Durbin–Watson statistic

3.04 2.35 1.72

3.56 6.17 1.77

10.62 8.80 1.75

10.1 9.65 1.65

0.32 0.25 1.72

0.05 0.04 1.68

0.53 0.41 1.67

0.91 0.72 1.68

6.37 5.31 1.76

CSR

Tangible ‘Business case’

benefits High reputational ratings, fame for

family businesses, social reputationAwards and certifications

and better stakeholder connections

More CSRD

to maintain Social image

Direct motivation for CSR efforts

Psychological motivation for enhancing CSR efforts

Fig. 2. Connection between CSR, CSRD and corporate reputation.

Table 7 Correlation matrix between CSEEE score and corporate variables.

Variable IND logPATt − 1 logTAt LogPATt Age scoRepu

CSEEEscore r 0.369⁎⁎ 0.326⁎⁎ 0.253⁎ 0.336⁎⁎ 0.252⁎ 0.407⁎⁎

Sig. 0.001 0.004 0.023 0.003 0.024 0.000 IND r 1.000 0.130 0.344⁎⁎ 0.118 0.053 0.143

Sig. 0.262 0.002 0.305 0.638 0.207 logPAT2009 r 1.000 0.735⁎⁎ 0.793⁎⁎ 0.288⁎ 0.285⁎

Sig. 0.000 0.000 0.012 0.012 logTA2010 r 1.000 0.703⁎⁎ 0.163 0.287⁎⁎

Sig. 0.000 0.149 0.010 logPAT2010 r 1.000 0.287⁎ 0.208

Sig. 0.011 0.068 Age r 1.000 0.195

Sig. 0.082

*, ** Correlation is significant at the 0.05 and 0.01 level (2-tailed), respectively. Log10 values have been used for sales, total assets and PAT.

224 M. Kansal et al. / Advances in Accounting, incorporating Advances in International Accounting 30 (2014) 217–229

sense of social responsibility. In India, the value system is very strong; firms carry on CSR endeavours from generation to generation as, for example, with the Tata and Birla groups.

CSR endeavours benefit not only the wider group of stakeholders but also the company itself in terms of reputation and financial benefits, which more than offset the costs incurred by these initiatives. Prickett (2007) noted that the award-winning CSR initiatives undertaken by London cab firm Radio Taxis Group, which became carbon neutral at an annual cost of £120,000, earned the company ‘capital gains’ via good publicity, an ISO 140041 accreditation and a financial manage- ment award. In India, Excel Industries took an initiative to recycle garbage in Mumbai and consequently gained an extremely positive social reputation (Gupta, 2005). Another Indian company, Hindustan Construction Company (HCC), gained a positive reputation when it installed equipment to clean up and make ground water useable for construction. Earlier, this company was buying water for ≤100,000 a day from the local municipality; the ≤3,000,000 cost of the new equip- ment was recovered in a month (Kumar, 2011).

It is clear that CSR performance enhances corporate reputation (Friedman & Miles, 2001; Lewis, 2003; Fombrun, 2005; Kolk, 2005; Bertels & Peloza, 2008; Ferns, Emelianova, & Sethi, 2008). Further, cor- porate reputation has a positive relationship with stock market returns and a negative relationship with social risk (Spicer, 1978; Herremans, Akathaporn, & McInnes, 1993). For firms with high CSP, reputational ratings can improve their relationships with bankers and investors, facilitating their access to capital (Spicer, 1978). These companies can also attract better employees (Greening & Turban, 2000) and/or increase their current employees' goodwill, which in turn can improve financial outcomes (McGuire et al., 1988; Waddock & Gravess, 1997). Therefore, corporate managers should employ CSR to enhance the reputation of their company in the eyes of its stakeholders and subse- quently disclose this CSR information to influence stakeholders because various stakeholders want to see positive contributions to social and environmental causes (Melo & Garrido-Morgado, 2011).

Fig. 2 illustrates the connection between CSR, CRSD and corporate reputation.

The trend towards CSR reporting is gaining momentum not only in developed countries; emerging and developing countries are being pressured to follow the lead (Othman, Darus, & Arshad, 2011). Govern- ments in developing countries like Malaysia are encouraging companies to take more CSR initiatives and to follow better CSR disclosure practices (Bursa Malaysia, 2011). The Indian government rewards the efforts of companies undertaking good CSR work in various categories. The initial univariate statistics indicate that the company's profitability, size, age, industry and reputation all influence its CSRD level.

Table 7 contains a correlation matrix for the independent variables. There are some significant correlations among the independent variables, but these correlations do not present a serious risk of multicollinearity in the data while interpreting the regression results, as r b 0.8 in all cases (Hanniffa and Cooke, 2005, 414; Field, 2005, 186). For brevity, only the significant independent variables have been entered into the correlation matrix.

A multiple regression analysis has been conducted to understand the interplay of these independent variables with CSRD. Table 8 presents the results for the six regression models.

As predicted in Hypothesis 1, a company's likelihood of disclosing its CSR activities is positively associated with its industry affiliation. Model 1 reports that the correlation between CSRD and industry is positive at 0.369 and that CSRD is positively associated with industry. Industry affiliation determines 12.5% of the total variation in CSRD. Thus, Hypothesis H1 is accepted.

Model 2 investigates Hypothesis H2 that is, whether the profitability of a firm in the previous year favourably influences its CSEEE score in the current year, controlling for industry to parse out the possibility of con- founding effects. Hypothesis H2 is accepted as in Model 2, where the ad- justed R2 changes from 12.5% to 19.4%. This change in R2 is statistically significant with an F change of. 007.

Model 3 reports the correlation between firm size and CSRD as 0.473, after controlling for industry and firm profitability in the previous year; the size of the firm is not associated with a greater likelihood of CSRD in the current year. The change in R2 is not significant in Model 3. Similar to prior literature, this univariate regression analysis found that the CSRD of companies is influenced by their size (Dierkes & Preston, 1977; Patten, 1991; Roberts, 1992; Hackston & Milne, 1996; Adams et al., 1998; Brown and Deegan, 1999; Purushotahman et al., 2000; Gray et al., 2001; Hossain & Reaz, 2007; Aras et al., 2010). Howev- er, company size may not influence CSRD when variations in industry and profitability with lagging effect have already been considered.

In Model 4, the impact of current-year profitability on CSRD regresses. It is found that, controlling for industry, the previous year's profitability and the size of the firm, the current year's profitability accounts for merely 2.5% of the variations in CSRD. The current year's financial performance has no significant relationship with CSRD because the change in R2 is not significant.

In Model 5, the age of the firm is entered as the independent variable. Although R2 increases by 1.8% (from 19.8% in Model 4 to

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20.7% in Model 5), the change in R2 is not significant; thus, we reject the hypothesis that a firm's CSRD is determined by the age of the firm.

Finally, Model 6 introduces a new non-financial variable, corpo- rate reputation, as a determinant of CSRD, while controlling for in- dustry, previous year's and current year's profitability, and size and age of the firm. Corporate reputation exclusively explains 9% of the variability of CSRD as R2 increases from 20.7% to 29.7%. The change in R2 is significant at the 0.01 level. Thus, we conclude that CSR is positively and significantly associated with the level of CSRD. The p-value of the Durbin–Watson (DW) test is greater than 0.05 and there is no indication of the existence of serial autocorrelation in the residuals (Field, 2005, 170).

It is found that industry affiliation and profitability with lagging ef- fect have a significant association with the CSEEE score at a 1% level of significance, with their coefficients being significant at 0.369 (industry) and 0.282, p b 0.01 (profitability in previous year). Size and current financial performance do not have a statistically significant relationship with CSR disclosures. Corporate reputation does have a significant influ- ence on the level of CSR disclosures. Those companies that have been recognised for their efforts through various awards and other social rat- ings are motivated to have higher levels of CSRD. Thus, the companies in steel and metals—non-ferrous industries, power-generation/distribution industries, and refineries and oil drilling and exploration industries, with sound profit positions at the beginning of the year and higher social rep- utations, have a greater likelihood of higher levels and quality of CSRD.

7. Implications of the study

India has taken a strong and distinctive stance on CSR reporting by the corporate sector and this may have serious policy implications. The Companies Bill 2012 sets out how large companies in India shall conduct and report CSR. The approach followed by the Companies Bill 2012, ‘Spend your CSR budget or explain’, relies on stakeholder pres- sure. Top-performing and large companies that fail to spend and/or report their CSR budgets will be vulnerable to loss of reputation. The current study highlights the fact that not only the size of a company (as reported by earlier studies) but also its corporate reputation

Table 8 Multiple regression models for CSRD with different independent variables.

Model 1: CSEEEScore = α + β1IND + ε Model 2: CSEEEScore = α + β1IND + β2logPATt − 1 + ε Model 3: CSEEEScore = α + β1IND + β2logPATt − 1 + β3logTAt + ε Model 4: CSEEEScore = α + β1IND + β2logPATt − 1 + β3logTAt + β4logPATt + ε Model 5: CSEEEScore = α + β1IND + β2logPATt − 1 + β3logTAt + β4logPATt + β5Age + Model 6: CSEEEScore = α + β1IND + β2logPATt − 1 + β3logTAt + β4logPATt + β5Age +

Model 1 2 3

R 0.369 0.463 R2 0.136 0.214 Adjusted R2 0.125 0.194 Std. error of estimate 29.611 28.420 2 R2 change 0.136 0.078 F change 12.270 7.678 Sig. F Change 0.001 0.007 Durbin–Watson F-value 12.270 10.499 Sig. 0.001 0.000 Constant—Significance 0.000 0.490

Beta values and significance IND 0.369** 0.333* logPATt − 1 0.282 logTAt − logPATt Age Corporate social reputation

*, ** Correlation is significant at the 0.05 and 0.01 level (2-tailed), respectively.

significantly affects its level of CSRD. The more socially reputed compa- nies are more inclined to spend their CSR budget and make higher CSRD because of their reputations.

India's Ministry of Corporate Affairs is currently fixing the rules of the CSR game. This study provides useful inputs into the design of CSR rules because the results of the study provide timely information on the pre-legislation CSRD scenario. It may also provide warning signals to corporate management in cases where the level of CSRD is very low in the pre-legislation period. The study argues that the impact of these guidelines on the reporting pattern of Indian companies may be evident in the coming years. It also provides a basis of comparison for future research in this domain.

The International Integrated Reporting Council has recently issued a reporting framework that requires organisations to publish material information about their strategy, governance, performance and prospects in a clear, concise and comparable format. It is expected that this integrat- ed reporting framework will underpin and accelerate the evolution of cor- porate reporting, reflecting developments in financial, governance, management commentary and sustainability reporting. The framework may provide opportunities for the management of Indian companies to disclose more value-relevant information to various stakeholder groups, which is a key requirement of the Companies Bill 2012 in India.

8. Conclusions, limitations and future research

This paper examined the current level of CSR in the well- represented and fast-emerging Indian economy with its large corporate sector. This is a comprehensive study that makes a value-adding contri- bution to the existing CSR literature by investigating various financial and non-financial determinants of CSRD in India. The study found that overall disclosures are low; these results are similar to those reported by earlier studies in developing countries (Chaudhri & Wang, 2007; Azim et al., 2009; Menassa, 2010). The results highlight that a firm's in- dustry affiliation and profitability significantly influence its CSRD. The finding that profitability determines CSRD in a positive manner is simi- lar to results reported by Roberts (1992), Waddock and Gravess (1997) and Wu (2006). The study could not confirm any association between

ε β6SocRepu + ε

4 5 6

0.473 0.499 0.517 0.600 0.224 0.249 0.267 0.359 0.193 0.198 0.207 0.297 8.428 28.346 28.185 26.536 0.010 0.025 0.018 0.092 .954 1.224 1.840 10.358

0.332 0.300 0.179 0.002 1.937

7.313 4.903 4.439 5.773 0.000 0.001 0.001 0.000 0.866 0.760 0.825 0.351

0.372*** 0.389*** 0.381*** 0.365*** 0.387* 0.223 0.188 0.146 0.153 −0.238 −0.211 −0.327

0.279 0.248 0.320 0.143 0.096

0.327**

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CSRD and risk, which is also consistent with earlier research (Haniffa & Cooke, 2005).

Non-financial variables and social reputation also determine the communication of social efforts. These results are similar to results shown by previous studies into the nature of industry-influenced CSRD (Rizk et al., 2008; Kotonen, 2009). The results are crucial and match with expectations because of the ‘business case + caring model’, long-established CSR tradition and high reputation of the com- panies seriously involved in CSR in India.

The study has some limitations as it considered the data for only one year from the annual reports of the sample companies and did not

Theme I—Community development

1 Promotion of education through donations/scholarships 2 Summer or part-time employment of students 3 Sponsorship of educational conferences, seminars, and art exhibits 4 Sponsorship of public health projects/medical camps 5 Aiding medical research 6 Supporting national pride and government campaigns 7 Supporting the development of local industries or community programs and activities. 8 Generation of jobs 9 Establishment/maintenance of educational institutions 10 Formulating vigilance committee to check corruption in the company 11 Livestock/wasteland development 12 Providing relief to victims of natural disasters 13 Employee volunteerism for community work 14 Rural development program/adoption of villages 15 Rainwater harvesting 16 Improving road network 17 Improving agricultural productivity 18 Aids to sports 19 Meals for the disabled/midday meals for children 20 Special community related activities, e.g. opening the company's facilities to the public. 21 Adopting old age homes 22 Mass marriage programs

Theme II—Human resources

1 Statements regarding reduction of pollutants, irritants, hazards, injuries 2 Promoting employee safety and physical or mental health 3 Compliance with health and safety standards and regulations 4 Receiving a safety award 5 Establishing a safety department/committee/safety policy 6 Providing low cost health care for employees 7 Disclosing percentage or number of minority employees in the workforce and/or in the 8 Employment of differently abled people/ex-servicemen 9 Training employees through in-house program 10 Giving financial assistance to employees in educational institutes or continuing educatio 11 Establishment of trainee centers 12 Staff accommodation 13 Providing recreational, cultural and activities/facilities 14 Providing the number of employees in the company and/or at each branch/subsidiary 15 Providing per employee statistics, e.g. assets per employee and sales per employee 16 Providing information on the company/management's relationships with the employees

regarding cordial relations 17 Improvements to the general working conditions—both in the factories and for the offic 18 Information and statistics on employee turnover 19 Winning an award for being a good employer 20 Awards given away for motivation of employees 21 Stock option plans for the employees or Employee share purchase schemes 22 Retirement benefits 23 Subsidized canteen 24 Subsidized transport 25 Feedback from employees 26 Employee loan facilities 27 Employee welfare fund 28 Information about support for day-care, maternity and paternity leave 29 Holiday benefits 30 Disclosing percentage or number of women employees in the workforce and/or in the v

consider some other corporate disclosure sources, such as media and corporate websites. Content analysis was performed by one of the au- thors to eliminate inter–rater bias and the coding of a sample of 10 com- panies was crosschecked by the other author. Nevertheless, the errors inherent in the rating scale due to human judgment and bias remain a limitation.

Regarding future research, the financial and non-financial determi- nants model could be replicated and confirmed in other developing countries. Future researchers could investigate the motivations behind CSRD by the corporate sector by conducting interviews with managers and boards of directors.

Appendix A. Particulars of Items in CSEEE Index

various managerial levels

n courses

in an effort to improve job satisfaction and employee motivation e.g. Strikes/statements

e staff

arious managerial levels

Appendix A (continued)

Theme III—Product, services—Safety and innovation (PSI)

1 Information on developments related to the company's products, including its packaging, e.g. making containers reusable 2 The amount/percentage figures of research and development expenditure for specific products and/or its benefits 3 Information on the quality of the firm's products as reflected in prizes/awards received 4 Verifiable information that the quality of the firm's product has increased 5 Disclosing improved or more sanitary procedures in the processing and preparation of products 6 Information on the safety of the firm's product

Theme IV—Environment

1 Pollution consciousness in conduct of Business operations (capital, operating, R& D for pollution abatement) 2 Statements indicating that the company's operations are non-polluting or that they are in compliance with pollution laws and regulations 3 Statements indicating that pollution from operations have been or will be reduced 4 Prevention or repair of damage to the environment resulting from processing or natural resources, e.g. land reclamation or reforestation 5 Conservation of natural resources, e.g. recycling glass, metals, oil, water and paper; using recycled materials 6 Receiving an award for environment programs and policies 7 Preventing waste/ waste management 8 Biodiversity/wildlife conservation 9 Signatory status to agreements that commit the organization to consider the environment in its operations 10 Water, environment studies/surveys 11 Water reuse/reduction of water usage 12 Use of environment friendly materials 13 Claims that the company is water positive/targets to become water positive 14 Discussion of environment management systems 15 Donations for restoring historical buildings/structures

Theme V—Energy

1 Conservation of energy in the conduct of business operations/using energy more efficiently during the manufacturing process 2 Use of alternate sources of energy 3 Discussing the company's efforts to reduce energy consumption 4 Receiving an award for an energy conservation program 5 Disclosing the company's energy policies 6 Voicing concerns about energy shortages 7 Energy conservation/day week/month/awareness

Theme VI—Emission of carbon and harmful gases

1 Setting Carbon emission targets 2 Disclosing mode used for reducing carbon emission 3 Statements showing that emissions within the limits 4 Efforts to reduce carbon emissions 5 Clean development management project (use of clean technology) 6 Carbon emission management system 7 Green building movement 8 Statements that company is carbon positive 9 Signatory to MOU with other corporate with regard to reduction of emissions 10 Membership of United Nation Global Compact (UNGC) Program

Theme VII—Other CSR activities

1 Corporate objectives/policies: general disclosure of corporate objectives/policies relating to the social responsibility of the company to the various segments of society 2 Receiving CSR rewards 3 Social accounting system audit 4 CSR or part of CSR as a theme on title page/part of company mission/vision statement 5 Encouragement to implement official language 6 Issuance of value added statements

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  • Determinants of corporate social responsibility disclosures: Evidence from India
    • 1. Introduction
    • 2. Corporate social responsibility
      • 2.1. Overview
      • 2.2. Why Indian CSR is unique
    • 3. Literature review
    • 4. Theoretical framework and hypotheses
      • 4.1. Relationship between CSR disclosures and financial corporate characteristics
        • 4.1.1. CSR disclosures and company size
        • 4.1.2. Relationship between CSR disclosures and profitability
        • 4.1.3. CSRD and risk
        • 4.1.4. CSRD and industry
        • 4.1.5. CSRD and age of firm
      • 4.2. Relationship between CSRD and non-financial corporate characteristics
        • 4.2.1. CSRD and corporate reputation
    • 5. Research methodology
      • 5.1. Construction of CSEEE index
      • 5.2. Regression models for determining CSEEE scores
    • 6. Analysis and discussion
    • 7. Implications of the study
    • 8. Conclusions, limitations and future research
    • Appendix A. Particulars of Items in CSEEE Index
    • References