4.1 Chapter Introduction
This section provides a synthesis of the findings of BRI's effects on emergent and
developed economies. The results are organized to address the research objectives and questions:
(1) evaluating the overall economic impact of the BRI on countries along its route, and (2)
analyzing the differential economic impacts of the BRI on emerging economies compared to
developed countries. The data was obtained from the World Bank Group (2024), while the
information for distinguishing the members of BRI from the non-members was obtained from
Wang (2021).
4.2 Descriptive Statistics
Table 1: Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Economic Status 24 1 2 1.50 .511
Pre-BRI (2008-2012) GDP
Growth Rate (%) 24 -5.7722 8.8275 1.197465 3.1199928
Post-BRI (2013-2017) GDP
Growth Rate (%) 24 -1.7990 6.5525 1.334048 1.8185381
Pre-BRI (2008-2012) Trade
Turnover (Billion $) 24 24.2369 149.6461 72.161946 36.8937083
Post-BRI (2013-2017) Trade
Turnover (Billion $) 24 25.2557 167.6625 72.495753 40.7951861
Pre-BRI (2008-2012)
Infrastructure Development
Index (0-100)
24 10.5945 63.2101 29.737842 15.3221488
Post-BRI (2013-2017)
Infrastructure Development
Index (0-100)
24 12.3134 75.6522 35.385411 18.4023397
BRI Participation (0 = No, 1
= Yes) 24 0 1 .50 .511
Valid N (listwise) 24
Table 1 summarizes the economic status, GDP growth rates, trade turnover, and
infrastructure development index before and after implementing the BRI. In the table, it is
established that, with a mean of 1.20% for Pre-BRI and 1.33% for Post-BRI, the mean growth
rate has slightly improved, while the standard deviation of 3.12 for Pre-BRI and of 1.82 for Post
BRI meaning that economic growth has stabilised after BRI. Trade turnover presented a slight
improvement in the mean, where the mean trade turnover rose from $ 72.16 billion to $ 72.50
billion; however, the standard deviation rose as well, indicating higher volatility in the level of
trade post-BRI. The infrastructure development index was enhanced to an average of 35.39 after
BRI implementation from the pre-BRI average of 29.74; however, the standard deviation has
increased from 15.32 to 18.40, showing heterogeneity in improvement among the countries.
Whether or not a country participates in BRI is binary coded, with 0 indicating no BRI
participation, 1 indicating a yes response, and the mean is 0.50, as half of the countries in the
study are BRI participants. These measures offer a basic introduction to the data distribution by
displaying the most significant figures in the dataset.
4.3 Difference-in-Differences (DID) Analysis
The DID analysis was performed to estimate the impact of the BRI on GDP growth rates,
trade turnover, and infrastructure development in emerging and developed economies.
Table 2: DID for GDP Growth Rates
Group in BRI Control Group
Group Pre-BRI
Mean (%)
Post-BRI
Mean (%)
Difference
(%)
Pre-BRI
Mean (%)
Post-BRI
Mean (%)
Difference
(%)
DID (%)
Emerging 3.67699356
3
2.15551169
9
-
1.52148186
4
1.93879205
9
1.35748731
1
-0.581304748 -
0.940177
12
Developed -
1.01846321
8
0.72197659
4
1.74043979
4
0.19253804
3
1.10121614
6
0.908678
1
0.83176169
4
Table 2 reports the DID estimation of the average difference in the GDP growth rate
between emerging and developed countries before and after BRI. The parameter of GDP growth
decreased as follows: the emerging economies of the BRI had a GDP growth of 3.68 % before
the BRI, which dropped to a post-BRI 2.16 % with a reduction of 1.52 %. On the other hand, the
control group for emerging economies reduced from 1.94% to 1.36 %, shaving 0.58%. The DID
estimate for emerging economies is pessimistic at -0.94%, indicating that the BRI has hurt GDP
growth. For developed economies, there was an improvement from -1.0295% to 0.7235%, with
an improvement of 1.74%. The control group for developed economies also upgraded from
0.19% to 1.10%, a 0.91% improvement. The DID estimate for developed economies is 0.83%,
and the positive impact of BRI on GDP growth is evident. This means that although BRI could
have restricted the growth of emerging economies, it has positively impacted developed
economies.
Table 3: DID for Trade Turnover
Group in BRI Control Group
Group Pre-BRI
Mean (%)
Post-BRI
Mean (%)
Difference
(%)
Pre-BRI
Mean (%)
Post-BRI
Mean (%)
Difference
(%)
DID (%)
Emerging 70.3894404
7
66.9141907
3
-
3.4752497
4
64.5006955
4
59.7088525
5
-
4.7918429
9
1.3165932
5
Develope
d
90.4698543
6
98.8121144
4
8.3422600
8
63.2877946
9
64.5478544
4
1.2600597
5
7.0822003
3
The DID analysis for trade turnover stated that the trade turnover for the BRI group,
including emerging economies, declined from %70.39 pre-BRI to %66.91 post-BRI, and the net
decline in trade turnover was 3.48%. The control group's emerging economies fell from 64.50%
to 59.71%, a drop of 4.79% less than in the treatment group. The DID estimate for emerging
economies is 1.32%, which implies that the impact of BRI is slightly positive on trade turnover.
As for the BRI group of developed economies, the volume of trade turnover rose to 98.81% from
90.47%, up 8.34%. The control group for the developed economy changed from 63.29% to
64.55%, an increase of 1.26%. The DID estimate for developed economies is 7.08%, further
indicating a positive effect of BRI on the trade turnover of developed economies. These results
show that the BRI impacted trade turnover to a greater extent in developed economy countries
than in emerging economy countries.
Table 4: DID for Infrastructure Development Index
Group in BRI Control Group
Group Pre-BRI
Mean
Post-BRI
Mean (%)
Difference
(%)
Pre-BRI
Mean (%)
Post-BRI
Mean (%)
Difference
(%)
DID (%)
Emerging 34.4570953
6
66.9141907
3
32.457095
4
30.8544262
8
59.7088525
5
28.854426
3
3.602669
1
Developed 49.9060572
2
98.8121144
4
48.906057
2
32.7739272
2
64.5478544
4
31.773927
2
17.132
13
The results of the DID analysis of the infrastructure development index are presented in
Table 4. The BRI group of emerging economies received a significant boost from 34.46% pre-
BRI to 66.91% post-BRI, an improvement of 32.46%. The control group for emerging
economies also went up from 30.85% to 59.71%, a rise of 28.85%. The DID estimate for
emerging economies is 3.60%, which signals that while the BRI positively influences
infrastructure in emerging economies, its influence is not radical. The developed economy
countries in the BRI group experienced a relatively larger shift from 49.91% before BRI to
98.81% after BRI, that is, 48.91%. The control group for developed economies rose from
32.77% to 64.55%, an improvement of 31.77%. Thus, the value of DID calculated for the
developed economies equals 17.13%, which implies a significant positive effect of the BRI on
infrastructure development. From these outcomes, it can be stated that the BRI had a
significantly larger positive impact on infrastructure development in developed economies than it
did on emerging ones.
4.4 Regression Analysis
To further validate the findings, a regression analysis was conducted. The results of the
regression analysis are presented in Table 5. It shows the coefficients for GDP growth rates,
trade turnover, and infrastructure development as dependent variables.
Table 5: Model Summary (GDP, Trade Turnover and Infrastructure Development)
Model R R
Square
Adjusted R
Square
Std. Error
of the
Estimate
Change Statistics
R Square
Change
F
Change
df1 df2 Sig. F
Change
GDP .057a.003 -.042 2.15904 .003 .072 1 22 .791
Trade
Turnover .246a.061 .018 38.30071 .061 1.420 1 22 .246
Infrastructure .252a.063 .021 16.68692 .063 1.486 1 22 .236
a. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes)
The regression analysis for the GDP growth rates, trade turnover, and infrastructure
development also indicates low reliability, with BRI participation as the only independent
variable. The R-squared values are very low: A much smaller proportion of the variance is
explained by BRI participation, with values of 0.003 for GDP, 0.061 for trade turnover, and
0.063 for infrastructure development. The Standard errors of the estimates are quite high,
especially for the estimate of trade turnover and the estimate of infrastructure development, as
shown by the standard error values of 38.30 and 16.69, respectively. The F-change values are
also low, and none of them are significant at the conventional test levels, which means that
participation in BRI does not allow for a significant prediction of changes in the growth rates of
GDP, trade turnover, or infrastructural development. Such conclusions in essence, suggest that
there could be other factors independent of the BRI that affect these indicators of economic
growth. Therefore, it would need further studies, which include different parameters.
Table 6: Model Summary (GDP Growth Rate with Control Variables)
Model R R
Square
Adjusted R
Square
Std. Error of
the Estimate
Change Statistics
R Square
Change
F
Change
df1 df2 Sig. F
Change
1 .057a.003 -.042 2.15904 .003 .072 1 22 .791
2 .138b.019 -.074 2.19223 .016 .339 1 21 .567
3 .438c.192 .070 2.03922 .173 4.270 1 20 .052
a. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes)
b. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes), Inflation Rate
c. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes), Inflation Rate, Unemployment Rate
Table 6 reports the regression analysis of the GDP growth rate by adding control
variables (Inflation Rate and Unemployment Rate). The adjusted R-squared for Model 1, which
only has the BRI participation, is 0.003, suggesting that the model hardly explains any variation
in the data. When adding the Inflation Rate in Model 2, our R-squared increases slightly to
0.019, but the improvement is non-significant (Chi-square = 0.339, p = 0.567). When it comes to
Model 3, which also includes the unemployment rate, the new R-squared is 0.192, and the F-
change is equal to 4.270 and p = 0.052, so the change is almost statistically significant. The
standard error of estimate reduces to 2.04, further consolidating that the model fits well. Based
on these findings, it can be concluded that although BRI participation alone cannot explain the
GDP growth rates sufficiently, the addition of controlling variables, precisely the Unemployment
Rate, contributes positively to the model by implying that these economic factors are
interconnected and affect GDP in a combined manner.
Table 7: Model Summary (Trade Turnover with Control Variables)
Model R R
Square
Adjusted R
Square
Std. Error of
the Estimate
Change Statistics
R Square
Change
F
Change
df1 df2 Sig. F
Change
1 .246a.061 .018 38.30071 .061 1.420 1 22 .246
2 .260b.068 -.021 39.05478 .007 .159 1 21 .694
3 .441c.194 .073 37.20481 .127 3.140 1 20 .092
a. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes)
b. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes), Inflation Rate
c. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes), Inflation Rate, Unemployment Rate
The regression analysis of the trade turnover, including the control variables inflation rate
and unemployment rate, proves moderate gains in the coefficient of determination. This level of
explanatory ability is low and has an R-squared of 0.061 in Model 1, where only the BRI
participation is used. In Model 2, when the Inflation Rate is added in, the R-squared value
marginally improves to 0.068, though the F-change is not statistically significant (F-change =
0.159, p = 0.694). The improvement is higher in Model 3, including the unemployment rate, for
which the R-squared value is 0.194 (F-change = 3.140, p > 0.092). The standard error of the
estimate is reduced to 37.20, which suggests it is a better-fitting model. Based on these results, it
can be inferred that although BRI participation is not a significant indicator of trade turnover
when control variables are added to the model, including the unemployment rate, it notably
improves the model's capability to explain trade turnover variations.
Table 8: Model Summary (Infrastructure Development with Control Variables)
Model R R
Square
Adjusted R
Square
Std. Error of
the Estimate
Change Statistics
R Square
Change
F
Change
df1 df2 Sig. F
Change
1 .252a.063 .021 16.68692 .063 1.486 1 22 .236
2 .263b.069 -.020 17.02667 .006 .131 1 21 .721
3 .464c.215 .097 16.02216 .146 3.716 1 20 .068
a. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes)
b. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes), Inflation Rate
c. Predictors: (Constant), BRI Participation (0 = No, 1 = Yes), Inflation Rate, Unemployment Rate
The regression of the Infrastructure Development Index, along with control variables
(Inflation Rate and Unemployment Rate), exhibits a slightly better fit in terms of explanatory
variables. The model with only the BRI participation has an R-squared value of 0.063, which is
not very high, showing that the model explains only a limited amount of variation in the data.
When the inflation rate is included in Model 2, the value of R-squared increases marginally to
0.069, while the F-change equals 0.131 and has p = 0.721. In Model 3, the Unemployment Rate
is included, the R-squared increases to 0.215, and the F-change is 3.716. Again, when taken
together with a p = 0.068, can be considered as marginal significance. The standard error of the
estimate is reduced to 16.02, further showing the improved model fit. Thus, these findings imply
that BRI affiliation alone does not necessarily explain infrastructure advancement. Still,
including control variables, especially the Unemployment Rate variable, improves the model
fitness and indicates the significance of multiple economic factors in analysing infrastructure
advancement conditions.
4.5 Chapter Conclusion
In conclusion, based on the results of the analysis, this study aims to reveal the economic
effects of the Belt and Road Initiative (BRI) on emerging and developed economies. Analyzing
the changes in the economic indicators after BRI implementation, the descriptive statistics show
a moderate enhancement in GDP growth rates, the turnover of trading and remarkable progress
in infrastructure. The Difference-in-Differences (DID) analysis highlights a nuanced impact:
relative to the emerging economies, BRI has impacted the developed economies to a greater
extent, especially concerning trade turnover and infrastructure development. Regression analysis
shows that the economic effect of BRI participation explains just a small portion of the change in
economic indicators, indicating that more variables, such as inflation and unemployment rates,
need to be employed to understand the impact of the BRI. In conclusion, the BRI has produced
instead mixed economic results, which speaks to the project's diverse and nuanced nature.
CHAPTER 5: DISCUSSION
5.1 Chapter Introduction
The Belt and Road Initiative (BRI) has recently attracted much attention for its promise
to reshape the world economy. In this discussion, the findings of the empirical analysis will be
drawn together with the findings of other studies and theories in the field of economic
development, institutions, and dependency. This section attempts to suggest the varied effects of
the BRI in emerging and developed economies by relating the findings with theory and prior
literature, thereby providing a more nuanced perspective on this colossal infrastructural plan.
5.2 Economic Development Theory
Economic development theory and Rostow's Stages of Economic Growth model are
useful frameworks for analysing the BRI. Rostow assumed that nations move through different
stages in their development process and become high-mass consumption societies. In line with
this theory, our research results revealed a slight improvement in the GDP increase rates and the
index of infrastructure development after BRI compared to before BRI (Schumpeter &
Swedberg, 2021). The gross infrastructure development of the emerging economies indicated
notable improvement (from 34.46 to 66.91), which is essential for their advancement to the next
stratum, industrialization, and modernization based on Rostow's model (Thaha & Galib, 2022).
On the other hand, the developed economy group, which is at a higher development level,
significantly enhanced the trade turnover and infrastructure development index. The DID
estimates (7.08 billion for trade turnover and 17.13 for infrastructure development) reveal that
BRI is a continuous process that has helped to improve trade connectivity and infrastructure
connectivity among the developed countries. These findings, thus, substantiate Rostow's claim
that mature economies reap other gains from infrastructural investments, not necessarily through
industrialization but in efficiency and technological improvement (Chen & Lin, 2020).
5.3 Institutional Theory
Institutional theory focuses explicitly on economic and political institutions in
determining economic results (Hwang et al., 2019). The findings of this paper show a positive
relationship between the BRI and growth outcomes in the participating countries, provided the
quality of institutions in the countries is considered. The positive effects on GDP and trade were
more evident with developed economy countries, particularly with sound institutional,
governance and regulatory provisions. For example, the BRI group's developed economies have
increased GDP growth from -1.02% to 0.72%, showing how institutions supported the BRI
investment with good institutions wins (Zhang et al., 2023).
On the other hand, because institutional and governance constraints are relatively weaker
in most emerging economies, the ample potential of BRI investment was not fully realized. The
low positive effect on infrastructure development (DID estimate of 3.60) in the mentioned
economies tends to reflect that institutional factors like corruption and inefficiency can distort
the efficient execution of large construction projects. These findings support institutional theory
following the assertion that nations should have well-developed institutions to enhance the
effectiveness of infrastructural investments and the implementation of economic development.
5.4 Dependency Theory
From a Marxist perspective, dependency theory further voices some inherent dangers of
participating in the BRI, such as economic dependency and neo-colonialism. The concept argues
that over-reliance on foreign investments, especially from a leading world economy such as
China and its consequent impacts, is likely to create dependency rather than foster the ability to
develop a nation independently without outside assistance. This study's results reveal the BRI's
positive role regarding infrastructural and economic development; however, it also suggests that
it has strengthened the economic subordination of the Global South, particularly in emergent
economies.
Countries in the emerging economies category, for example, had their GDP growth rates
reduced from 3. 68% to 2. 16%, which, on the positive side, contributed slightly positively to
trade turnover according to the DID estimates, which was estimated to be 1. 32%. These nations
receive essential infrastructure but accumulate ongoing debts and dependence on Chinese
electronics and finances, in conformity with dependency theory expectations (Kaplinsky &
Morris, 2019). On the other hand, given their less diversified structure and weak institutional
base, developing economies have failed to capture the same benefits while being overwhelmed
by dependency threats.
5.5 Research Objective 1: To Evaluate the Overall Economic Impact of the BRI on
Countries Along Its Route
While the gross domestic product of countries involved in the BRI is escalating, one has
to understand that the rates of increase are not the same. Thus, although there is a general trend
towards an increase in GDP growth rates after the BRI, the increase is slightly higher in
emerging countries than in developed countries. On this basis, the observed effects may be
attributed to differences in the degree of development of the countries in question and the
requirements in terms of infrastructure. Many developing countries with significant
infrastructure gaps stand to gain more from the extensive infrastructure spending linked to the
BRI. According to Mahmood et al. (2022), the BRI has contributed primarily by reviving these
regions' economies through infrastructure projects more significantly in the sectors of
construction and transport besides manufacturing. Not only do these projects generate
employment, but at the same time, they initiate the process of fostering constant economic
development through enhancing accessibility and thereby making transportation cheaper.
However, developed economies, which usually possess well-developed infrastructure, witness a
comparatively more significant increase in GDP growth. In these countries, these marginal gains
in GDP can sometimes be very considerable because their absolute activity levels are already
very high. A rise in the GDP growth rates of the developed country partners of BRI implies that
though the export impact might not be immediate, much can be gained from integrating further
into the BRI economy and increasing trade.
The BRI has tremendously enhanced Infrastructure development indices for both the
world's emerging and developed nations. It has effectively fixed major structural flaws, such as a
lack of access to necessary infrastructures, especially in developing countries. Xie et al. (2023)
highlight that the BRI has resulted in the positive development of linking roads, railways and
ports for better trade facilities. These infrastructure projects mean advancing the economy and
ways to reach markets, decreased transportation costs, and an overall improved economy. In
developed economies, BRI's objective has been enhancing and updating existing infrastructure.
Despite this, the BRI projects assist these countries in not losing their competitiveness and
economic efficiency in the global economy as witnessed in emerging economies but in
improving on it, albeit not at the same dramatic rates.
The change in the trade turnover compared before and after the BRI, especially in the
developed nations, also reflects another positive impact on the increment in international
business. Economic interdependency is promoted through the implementation of the policy, and
the trade link between the participating countries is improved. According to Lu et al. (2024), BRI
enhances trade by inviting fewer trade restrictions, better infrastructure and enhanced economic
interconnections. The increase in global trade turnover is even more apparent in developed
countries, which boast better infrastructure and cheaper cross-border conveyance costs. In the
same way, this increase in trade has a positive impact on the involved countries and the world's
economy. Trade turnover also rises for emerging economies, although to a lesser extent than
developed ones. With better roads and communication networks, engaging in the international
market becomes simpler for these countries. Consequently, exports and imports are given a
boost. The BRI assists the countries in the diversification of their economy, thus enriching export
markets and increasing the flow of economic activity.
However, the regression analysis conducted in this study to assess the impact of BRI
demonstrates that BRI participation does not independently have a statistically significant
coefficient to explain changes in GDP growth rates, trade turnover, or infrastructure
development. This pattern points to the fact that other factors unrelated to participation in the
BRI impact these economic indicators. It sheds light on the intricate process of economic
development and the necessity for paying attention to more factors when measuring the effects of
the BRI. Zhang et al. (2023) state that the model reveals that the BRI causal effects are
conditional on a country's institutional structures and infrastructural development. The level of
the result may vary by the level of institutional framework and infrastructure, which differs from
a country with weak infrastructure and weak institutional framework.
5.6 Research Objective 2: To Analyse the Differential Economic Impacts of the BRI on
Emerging Economies Compared to Developed Countries
The DID analysis reveals a duality of GDP growth rates between emerging and
developed economies in the post-BRI era. Contrary to the expectation that large-scale
investments will drive economic activity, emerging economies have seen a decline in their GDP
growth rates. According to Butt and Shah (2021), it is agreeable that this has several reasons
related to the context of the emerging economy, and one can include infrastructural factors and
governance problems. The weakening bureaucratic structures, high levels of corruption, and poor
institutional settings that define many EMs may become significant challenges to the effective
delivery of BRI projects. Such problems might result in the development of programme
implementation delay, increased costs, and under-utilisation of resources, hence stunting the
overall economic development. Therefore, developing economies experienced a slight rise in
GDP growth rates after the BRI. These countries mostly boast solid institutional structures,
efficient management, and well-developed infrastructural frameworks that enable them to
harness BRI funding. The enhancement in the GDP growth rates among the developed
economies has evidenced their capability to harness such projects to create a sustainable
economy. They also possess well-developed economic systems and legal frameworks that are
more effective at harnessing the advantages of substantial infrastructure projects and
incorporating them into the overall economy.
The effect of BRI on trade turnover also depends on the economy's development level to
a large extent. Concerning trade turnover, emerging economies demonstrate a positive but
subdued performance, indicating that they are gradually becoming embedded in the regional and
global trade systems and value chains due to infrastructure upgrades. However, the increase in
trade turnover in these economies is still relatively weak compared to developed economies. That
is why the outcome indicates that emerging economies are not ready to reap the benefits of
increased connectivity and trade liberalisation that the BRI has triggered. According to Pan et al.
(2022), although new trade routes and logistics facilitate trade for emerging economies, their less
competitive and somewhat fragile economies restrict the ability of the economy to trade. On the
other hand, developed economies saw their trade turnover drastically increase after the BRI.
These arrangements mean that those countries experience a remarkable increase in their
commerce with other nations because they are well connected to the global supply chain. It has
been observed that developed countries are in a better place to optimally use the BRI investments
for trade facilitation again because of the solid logistic networks, diversified economy and
already established trading partners. The BRI aids these countries to open up to the rest of the
world and increase their global performance and exports. This finding is in line with Pan et al.
(2022), where the authors stress the connectivity increase that strengthens developed nations'
trade capabilities.
Infrastructure development is one of the essential parts of the BRI that focuses on filling
infrastructural deficiencies and thus developing connectivity. DID analysis reveals a positive
impact of Emerging economies on developing infrastructure in both emerging and developed
economies. This affirms the BRI as a successful initiative in satisfying essential infrastructure
demands and advancing economic connectivity. Investment in infrastructure has improved
significantly, mainly in the emerging economies. These are some of the developing countries that
suffer from large infrastructure gaps that slow down economic progress. The BRI projects fill
These infrastructural gaps, including transport systems such as roads, railways, ports, and energy
sectors for market access and to stimulate economic activities. According to Jimeno (2023), the
BRI has been mainly about improving the connectivity of the regions and boosting the level of
financial interdependence in the areas that were not sufficiently provided with infrastructure.
Infrastructural growth also positively impacts developed economies despite starting at a different
level. These countries collectively have relatively well-developed infrastructures, though BRI
serves to upgrade and expand these facilities to compete in the frontier global markets. The
significantly higher and consistent infrastructure development indices for the developed
economies indicate that these countries have better procedures for adopting and leveraging large-
scale infrastructure. The developed regulation systems, effective management, and funding
sources enable their projects' implementation and immediate connection to the existing
infrastructure.
5.7 Study Limitations
Nevertheless, it is essential to appreciate the following limitations of this study as it
garners insights into the economic consequences of the BRI. First, there may be biases and
shortcomings in using only secondary data sources. Moreover, the binary measure used in the
study to define BRI participation does not consider the differences in the level of engagement
and investment. The low level of R squared value for the regression models suggests that, apart
from BRI participation, other factors cause variations in the economic indicators. Subsequent
studies should include other factors, such as the political stability index, governance indicators,
and certain types of BRI investments, to better perceive BRI. In addition, the ten-year analysis
period does not consider the policy's delayed impact on the relevant economic variables since
many infrastructure initiatives precede their effects. It means that more extensive and long-term
research is required to evaluate the BRI's long-term effects.
5.8 Chapter Conclusion
In this chapter, a discussion of the research findings concerning the existing literature on
the BRI's economic effects is conducted. From the findings, it is evident that the BRI has
positive and negative impacts on the GDP growth, trade turnover and infrastructure
development, whereby these effects differ with the status of the countries, that is, emerging and
developed economies. Thus, emerging economies struggle to optimise BRI investments
compared to developed economies that can efficiently harness investments to spur growth for
economic trade. The more significant limitations in the analysis presented in the study are the
necessity to include more variables in the model and to analyze the effect of the BRI from a
long-term perspective. In general, these results strongly suggest that evaluating the ability and
readiness of countries to respond to large-scale infrastructure demands like those related to the
BRI is crucial. Thus, economic optimism and cooperation are within the BRI's framework, which
has the potential to transform economic development and integration positively. However the
ability to deliver on this depends on the capability of the participating countries to implement
and manage infrastructure, manage the governance issues and utilize the outcomes of enhanced
connectivity for growth.
CHAPTER 6: CONCLUSIONS AND RECOMMENDATIONS
6.1 Conclusion
This paper aims to present an assessment of the Belt and Road Initiative (BRI) and its
economic impact on countries on the BRI, emphasising making a proper dissection of the
financial effects by differentiating between emerging and developed countries. The BRI,
introduced by the Chinese government as a long-term comprehensive blueprint, escalates
interconnectivity and global development through infrastructure reforms and trading. The factual
data derived in this research work includes descriptive statistics, the Difference-in-Differences
(DID) model, and regression analysis. This study finds that the BRI has benefited the host
countries positively and negatively regarding economic parameters. The BRI has been
particularly beneficial for emerging economies regarding infrastructure enhancements as it has
filled the infrastructural gaps that have been a pain point for their growth. However, the
predicted improvements in the GDP growth rate for the mentioned economies have been more
moderate and, in some cases, have gradually decelerated after the beginning of BRI. This can be
due to, among other challenges, inefficiencies in bureaucracies, governance factors, and
restricted institutional enablement that hinder the executions of BRI initiatives.
On the other hand, the developed economy has recorded steady positive results. The BRI
has ensured that the economic growth of these nations has been boosted by high trade turnover
and GDP growth rates mainly because most nations have strong institutions, proper
infrastructure, and sound economic systems. The physical connectivity also supplements their
increased competitiveness in the global market, expanding the ability to harness BRI investments
for steady economic growth. The study shows that the BRI has mixed effects in developed and
developing economies, making it quite large. Although infrastructure improvements have proven
to be a universal advantage, especially within emerging and developed economies, the resultant
economic effects are dependent on numerous factors, which therefore encompass institutional
framework, governance and infrastructural stock. From the regression analysis viewed above, it
becomes clear that even though the probability of BRI participation is a significant factor, it is
insufficient to influence changes in GDP growth rates, trade turnover and infrastructure
independently, implying the existence of other variables that are also influential in determining
the above economic terminologies.
6.2 Recommendations
Strengthen Institutional Capacities in Emerging Economies: The authorities of emerging
economies should pay special attention to improving the institutional environment about
properly implementing BRI projects. This entails the enhancement of governance structures, the
minimization of bureaucracies, and the promotion of accountability and transparency. Institution
building can guarantee that BRI investments are properly harnessed and create the necessary
impact that is needed from the investments (Butt & Shah, 2021).
Promote Public-Private Partnerships (PPPs): Similarly, both the developing and
developed parties must enhance the development of PPPs when financing and implementing
BRI. Implementing PPPs is also advantageous because it enables the use of private sector skills,
creativity and capital, increasing efficiency and sustainability of infrastructure projects. PPP
programmes should be made propitious by government departments and authoritative agencies
by having proper legal frameworks and incentives (Jimeno, 2023).
Focus on Capacity Building and Technical Assistance: The realization that the problems
related to the BRI projects must be resolved by offering emerging economies capacity-building
programs and technical support. Developed countries and international organizations should
come forward and provide knowledge, training, and technical support to improve the
management of projects, financial planning, and the structure of rules and regulations of
emerging economies (Zhang et al., 2023).
Enhance Regional Cooperation and Integration: The BRI may prove more efficient if
member states strive to increase regional coordination and connection. This includes
synchronising the two nations' policies, lowering tariffs, and marketing the involvement of both
nations' infrastructures. When regional cooperation is advanced, there are possibilities of
combining strengths, improving efficiency in resource utilization and increasing the general
growth of the area's economy (Pan et al., 2022).
Monitor and Evaluate BRI Projects: Monitoring and evaluation frameworks are crucial as
they help determine the effectiveness of BRI implementation. Sustainability assessments enable
the detection of challenges, evaluation of results, and, overall, checking if planned projects align
with the set economic and development objectives. Thus, transparency and effective
collaboration with the stakeholders should be considered as the key factors in the further
development of the monitoring and evaluation process in the framework of the policies
conducted by the government and other decision-makers (Jimeno, 2023).
