Unbalanced Panel Data Research Articles

Female leadership and financial sustainability of MFIs: the moderating role of female borrowers

PurposeThe purpose of this study was to investigate whether the percentage of female borrowers moderate the effect of female leadership on financial sustainability of microfinance institutions (MFIs).Design/methodology/approachThe study collected an unbalanced panel data of 821 MFIs between 2007 and 2018 from the Microfinance Information Exchange (MIX). MFIs’ financial sustainability was measured as operational self-sufficiency (OSS). The data were analyzed using the fixed effect regression model.FindingsThe study found that having women participation in managerial and board positions has a positive effect on OSS. The results further demonstrated that the proportion of female loan officers and female borrowers had a negative effect on OSS. In addition, the study’s findings revealed that the percentage of female borrowers moderated the relationship between female board members, female managers, female loan officers and OSS.Practical implicationsThese findings may offer important insights to policymakers and practitioners in formulating strategies to improve financial inclusion for women by examining the inherent link between female borrowers and women’s participation in leadership roles within MFIs, which affects the financial sustainability of these entities.Originality/valueThis study is among the few that have examined the interaction between the proportion of female borrowers and other forms of female participation, including loan officers, managers and board members, and its effect on the financial sustainability of MFIs.

Level of social security expenditures and economic growth rate based on econometric regression modelling: New evidence from OECD countries

This research article examines the relationship between the level of social welfare expenditure and economic growth rates, based on unbalanced panel data from 38 OECD countries covering the period from 1985 to 2022. Four hypotheses are formulated regarding the impact of social expenditure on economic growth rates. Through multiple iterations of regression model building, employing various combinations of dependent and independent variables, and conducting tests for stationarity and causality, compelling empirical evidence was obtained on the negative influence of social welfare spending on economic growth rates. The study takes into account both government and non-governmental expenditures on social welfare, a novelty in this field. This approach allows for a detailed examination of the effects of different components on economic growth and provides a more comprehensive understanding of the relationships. The findings indicate that countries with high levels of social welfare spending experience a slowdown in economic growth rates. This is associated with increasing demands on social security systems, their growing inclusivity, and the escalating required levels of financing, which are increasingly covered by debt sources. The research highlights the need to strike a balance between social expenditures and economic growth rates and proposes a set of measures to ensure economic growth outpaces the indexing of social expenditures. The abstract underscores the relevance of the study in light of the widespread recognition of the necessity to combat inequality, poverty, and destitution, and calls on OECD countries’ governments to pay increased attention to social policy in order to achieve sustainable and balanced economic growth.

Better safe than sorry? The effect of asymmetric cost management on firm resilience in manufacturing firms

PurposeGlobal business practices show that during periods of demand volatility, manufacturing firms often engage in asymmetric cost management (ACM), a behavior in which costs increase faster than they decrease when demand decreases by the same amount. However, whether managing asymmetric costs will enhance or impede firm resilience remains an open question. We aim to investigate the impact of ACM on firm resilience and its boundary conditions.Design/methodology/approachUsing unbalanced panel data of 2,273 Chinese manufacturing listed companies from 2002 to 2021, we conduct an empirical analysis using a double fixed effects model.FindingsOur findings reveal that ACM has a negative effect on firm resilience. This suggests that in coping with external environmental fluctuations, ACM fails to fulfill its expected role effectively. Instead, it manifests as a severe agency problem affecting firm resilience. Further, we find that managerial myopia and digitalization diminish the negative effect, while customer instability exacerbates it.Originality/valueThis study contributes to the literature on the organizational resilience of manufacturing firms by providing an in-depth understanding of cost management and emphasizing the need to consider agency issues carefully when managing asymmetric costs.

Dynamics of capital structure determinants: empirical evidence from GCC countries

AbstractThe study empirically examines the factors affecting the financing decisions of non-financial listed companies in Gulf Cooperation Council (GCC) countries. Using static and dynamic two-step generalized method of moments techniques, it analyzes unbalanced panel data from 364 non-financial companies across six GCC countries from 2011 to 2021. The findings partially support optimal capital structure theories, highlighting significant internal factors such as profitability, market-to-book ratio, firm size, earnings volatility, and growth opportunities that influence financing decisions. While no single theory fully explains the financing choices, the association of internal factors with book and market leverage is consistent. The study provides robust and generalizable results, aiding financial institutions and policymakers in formulating pro-development policies and regulations. This research facilitates better coordination between corporate managers and financial institutions, supporting the region’s economic transition. It is the first study to use extensive data from GCC non-financial firms to investigate financing decisions, offering valuable insights for investors and a basis for further analysis of capital structure choices in the region and beyond.

The causal relationship between government investment and economic development in ASEAN countries

The purpose of this article is to evaluate the impact of public investment on economic growth. The data was used from the annual data of the Asian Development Bank (ADB) for 6 countries in ASEAN during 2000-2022. The methodology used in the project is to apply the unit root test to the stationarity properties of individual time series and establish the cointegration relationship between non-stationary variables using methods related to cointegration testing in the long-run. The error correction model (ECM) considers the impact of the variables public investment, public expenditure and budget revenue from taxes on short-term economic growth and long-term growth thereby calculating the adjustment speed and adjustment time of the model and using the Granger causality test with fixed effects for analysis of unbalanced panel data to comprehensively analyze the relationship between public investment and economic growth. Data analysis and processing were performed using Stata software version 17. The findings that public investment has a long-term impact on economic growth and has a two-way causal relationship in all countries. The authors provide policy implications to make public investment more effective contributing to promoting the country's socio-economic development, reviewing and improving the legal system on public investment, restructuring public investment while strongly enhancing the efficiency and quality of public investment, inviting and attracting foreign direct investment (FDI) capital, diversifying capital sources and creating more motivation for the private economic sector to develop and promulgate solutions to develop high-quality human resources.

Does financial expertise influence Islamic bank risk-taking?

PurposeThis study investigated how the financial expertise of the board of directors, risk management committee (RMC), audit committee (AC) and Shariá Supervisory Board (SSB) influences the risk-taking of Islamic banks.Design/methodology/approachThe study utilized unbalanced panel data for a sample of 43 full-fledged Islamic banks from 15 countries over 12 years (2010–2021). We employed feasible generalized least squares (FGLS) and heteroskedastic panels corrected standard errors (HPCSE) regression regressions as the primary estimation methods and used a two-step system generalized method of moments (GMM) estimator for robustness checks.FindingsThe results indicate that board financial expertise decreases insolvency and credit risks. Similarly, AC financial expertise and SSB financial expertise reduce insolvency and portfolio risks but increase credit risk. In contrast, RMC financial expertise raises insolvency risk. The remaining relationships are statistically insignificant.Research limitations/implicationsDue to the lack of disclosure regarding the educational and professional background of the board and committee members in the annual reports of some Islamic banks, this research used a sample of only 43 full-fledged Islamic banks operating in fifteen countries from 2010 to 2021.Practical implicationsThe findings can assist both local and international regulators in revising corporate governance codes and risk management guidelines in such a way as to ensure that the financial experts appointed to the board, AC, RMC and SSB, are capable of controlling excessive risk-taking behavior in Islamic banks.Originality/valueThis study contributes to the literature by providing comprehensive empirical evidence that corporate governance financial expertise influences the risk-taking behavior of Islamic banks.

The impact of customer concentration on the provision of reverse trade credit

PurposeThe purpose of this study is to investigate the impact of customer concentration on the provision of reverse trade credit at the firm level.Design/methodology/approachUtilizing unbalanced panel data of Chinese A-share listed firms from 2007 to 2022 as the study sample, this paper employs a fixed-effects model to investigate the association between customer concentration and firms’ reverse trade credit.FindingsThis study finds that firms with higher customer concentration receive less reverse trade credit. Heterogeneity tests reveal a significant amplification of reverse trade credit in high-tech firms but a detrimental impact in large-sized, competitive and high-analyst-following firms. Further studies conclude that firms’ motivations, including bargaining power, financing and transaction guarantee motivations, collectively influence the extent of reverse trade credit acquisition.Originality/valueTo our knowledge, this paper represents the first attempt to conduct a comprehensive investigation of reverse trade credit, specifically through the lens of customer concentration, utilizing firm-level panel data sourced from a singular country.

Digital Transformation and Green Innovation Synergy: Double Drivers for Global Value Chain Upgrading in China's Construction Machinery Industry

With the digital transformation of the global economy and the deepening of the concept of sustainable development, China's construction machinery industry faces major opportunities and challenges in the reconstruction and upgrading of the global value chain. Based on the dynamic capability theory and the collaborative innovation theory, this study constructs a theoretical framework of "digital transformation-green innovation-global value chain upgrading" to explore the impact of the synergy between digital transformation and green innovation on improving the position of Chinese construction machinery companies in the global value chain. This study uses a multi-source data fusion method, combined with patent data, financial statements and questionnaires, to construct an unbalanced panel data set of 189 listed construction machinery companies in China from 2010 to 2022, and uses econometric methods such as dynamic panel modeling, threshold regression and machine learning to analyze. The study finds that: (1) The impact of digital transformation on the global value chain upgrading of construction machinery companies presents a nonlinear "U-shaped" curve relationship; (2) Green innovation plays a positive regulatory role in the relationship between digital transformation and value chain upgrading; (3) There is a significant synergy between digital transformation and green innovation ; (4) The quality of the institutional environment has an important impact on the synergy, and a high-quality institutional environment enhances the synergy; (5) Enterprise heterogeneity significantly moderates the impact of synergy on value chain upgrading. The study expands the theory of global value chains, enriches the theory of collaborative innovation, provides a new theoretical perspective for the integration of digital economy and green development, and provides practical guidance for enterprises and governments to formulate relevant strategies and policies. Future research can further explore the cross-national comparison and long-term dynamic evolution of synergy effects.Digital transformation

Does intellectual property rights protection help reduce carbon emissions?

Our study examines the relationship between intellectual property rights protection (IPRP) and carbon emissions (CE) using an unbalanced panel data set from 116 countries spanning 2008–2020. The analysis reveals a positive relationship between IPRP and CE. Mechanism tests and nonlinear analysis further elucidate this relationship. The mediation effect results indicated that IPRP indirectly fostered CE growth by inhibiting energy structure’s improvement, demonstrating that IPRP exacerbated the dependence on traditional high-carbon energy sources, hindering the transition to cleaner, more efficient energy systems. The analysis also revealed that IPRP indirectly promoted the increase of CE by promoting technological progress and economic growth. The moderation effect results suggest that political stability could mitigate the positive impact of IPRP on CE. Furthermore, the analysis reveals an inverted U-shaped relationship between IPRP and CE, indicating that while IPRP promotes an increase in CE in the initial stages, its intensification suppresses CE growth beyond a turning point. Hence, our study provides new theoretical and empirical evidence to understand the complex relationship between IPRP and CE. It also offers policy recommendations for effectively integrating global carbon reduction efforts with intellectual property policies.

Board gender equality and ESG performance. Evidence from European banking sector

PurposeThe purpose of this paper is to investigate the relationship between board gender equality and environmental, social and governance (ESG) performance in the European banking sector. The study examines whether and how the presence of women on the board of directors (BoD) influences ESG dimensions.Design/methodology/approachThe authors analyzed a sample of 72 European Union banks for the period 2015–2021 and developed an econometric model applying unbalanced panel data regression with firm fixed effects and controls per year. To test the research hypotheses, the authors considered gender equality in terms of female participation on the BoD and measured ESG dimensions by using the ESG score provided by Refinitiv.FindingsThe findings suggest a significant positive relationship between the number of women on BoD and the ESG performance of European banks only up to a certain threshold of female directors (at least three women). The study also explores how the proportion of women on BoD influences the individual ESG pillars. The results show that the percentage of female directors has a positive and statistically significant impact on the social dimension of the ESG framework.Research limitations/implicationsThe investigation is highly relevant to investors considering ESG issues in their decision-making process. The overall findings support policymakers and regulators on how to improve ESG performance through the design and the application of corporate governance (CG) mechanisms. From a managerial perspective, the study suggests that managers and CEOs should focus their efforts on establishing the right gender combination of directors on bank BoDs.Originality/valueThis paper offers an in-depth examination of the CG practices of banks, and it attempts to bridge the gap in prior literature on the determinants of ESG issues in the European banking industry. To the best of the authors’ knowledge, this study is the first that investigates the relationship between the representation of women on BoDs and the ESG dimensions measured by the Refinitiv Eikon score. The use of critical mass theory adds a fresh perspective to the literature on ESG in Europe since the influence of board gender diversity on ESG performance of the European banks is still unaccounted for. This study addresses this pressing research issue drawing on resource dependence, agency and legitimacy theories.

Does Green Finance Development Enhance the Sustainability Performance of China’s Energy Companies?

The achievement of China’s “dual-carbon” standard has been devoted to the green transformation and the sustainable growth of energy firms, both of which can be financed by the growth of green financing. This study aims to investigate how the development level of green finance influences the sustainable development performance of listed energy companies in China. It seeks to delve into the underlying mechanisms connecting green finance with financing constraints and, subsequently, with sustainability performance, as well as exploring the relationship between green finance and green total factor productivity in relation to sustainability performance. Additionally, this study will provide strategies and recommendations to enhance the sustainable development capabilities of energy enterprises. This study empirically evaluates the four aspects of sustainable development performance: economic, social, environmental, and innovative performance—as well as its mechanism of action using the fixed-effects pattern with two ways and the mediated-effects pattern using unbalanced panel data from Chinese-listed energy firms spanning from 2011 to 2020. The study discovered that (1) energy firms’ performance in sustainable development is greatly enhanced by the progression of green finance; (2) the advancement of green finance effectively boosts the sustainable development performance of energy companies by reducing financing constraints and enhancing green total factor productivity; (3) a more distinct relationship is evident between the extent of green financing development and the performance of sustainable development within state-owned enterprises. While green finance development has a stronger role in innovative performance for larger energy firms, it has a noticeable proactive impact on the economic, social, and environmental performance of smaller energy enterprises. Based on the study’s findings, this paper presents recommendations for the enhancement of green financing policies and the sustainable enhancement of energy enterprises in China.

Economic growth, foreign direct investment and corruption nexus in sub-Saharan African countries: moderation model

This study aligns with Sustainable Development Goal 8 which borders on “economic growth by ensuring FDI inflows continue to increase so as to spur sustained economic growth”. It contributes to the economic growth literature by evaluating the role of FDI inflows and corruption on economic growth. The Sub-Saharan African region has witnessed an increase in FDI inflows for the last three decades. However, economic growth has been reducing. For example, the region witnessed a contraction in economic growth to 2.7 percent in 2022 down from 4.4 percent of 2021. The literature indicates that corruption can impede FDI inflows from translating to high economic growth. Many studies have examined the role of FDI inflows in economic growth but have not studied the moderating effect of corruption thus creating a gap for this study. To achieve the objective, the study uses the Fixed Effects Panel data approach on unbalanced panel data for 46 sub-Saharan African countries from 1998 to 2021 to interrogate the nexus. The results revealed a positive relationship between FDI inflows and economic growth. The findings align to the endogenous growth model that explains the link between foreign direct investment and economic growth. However, corruption was found to reduce the effectiveness of FDI inflows in realizing economic growth. The study therefore recommendsthat the governments of the Sub-Saharan Africa countries need to address corruption so as to achieve the desired economic growth. They should implement measures focusing on improving institutional quality to control corruption. In addition, the policy makers should relook at anti-corruption initiatives aimed at reducing poor governance. For instance, financing anti-corruption agencies and legislating their independence to ensure corruption is reduced.

Unveiling the Nexus: Analyzing foreign direct investment and energy consumption in shaping carbon footprints across Africa’s leading CO2-emitting countries

Carbon emissions have become a pressing global concern because of its contribution to climate change and environmental degradation. Given the urgency to tackle climate change, especially by reducing carbon emissions, this study focuses on Africa’s leading CO2 emitters from 2000 to 2020. The aims of the study are; to examine whether there is evidence of an energy-Kuznets Curve among the leading CO2 emitters in Africa, to examine whether there is evidence of an FDI-Kuznets Curve among the leading CO2 emitters in Africa, and to Identify the turning points. The study employs an innovative analysis of unbalanced panel data utilizing sophisticated econometric techniques, the contemporaneous correlation methodology, which are; the feasible generalized least squares (FGLS), and the panel-corrected standard errors (PCSE) to uncover insights. The results reveal consistency across all employed techniques. The study confirms the existence of an Energy-Kuznets Curve among the leading CO2 emitters in Africa; it also finds evidence of a U-shaped relationship between foreign direct investment and carbon emissions among the leading CO2 emitters in Africa; finally, it also identifies crucial turning points at 2760.12kg and 2886.29kg of oil equivalent per capita for energy use and 6.89% and 6.17% for FDI inflow, respectively. By investigating the factors influencing carbon emissions and evaluating their impacts, our study offers valuable insights for policymakers. These findings can inform the development of targeted interventions to curb emissions intensity, enhance energy efficiency, and foster the adoption of renewable energy sources.

Firm Size on IDX BUMN 20 Stock Prices: The Role of Mediating Activity and Profitability

This study investigates if firm size increases stock prices using activity and profitability as mediating variables. It employs a quantitative causality method using secondary data from financial reports on firm websites and the IDX. The sample includes companies listed in the IDX BUMN 20 index from 2018-2021, using non-probability sampling and unbalanced panel data estimated with a random effects model. Data analysis involves descriptive statistics, mediation regression, and path analysis with Eviews 12 software. Results indicate firm size and profitability positively impact stock price, firm size positively impacts profitability, activity does not impact stock price, and activity and profitability do not mediate the firm size-stock price relationship

Links between the sustainable development goals: An analysis for Italy

AbstractThe article reviews the links between the Sustainable Development Goals (SDGs), examining how progress in one is related to the others and what factors determine the progress. While most previous work is at the national level, this article focusses at the sub‐national level for one country, namely Italy. After reviewing the evidence from the literature, the paper utilizes an unbalanced panel data collected for Italian provinces, covering the period 2004–2022 and reports descriptive statistics. On the positive side, we see a decline in ambient air pollution, and an increase in indicators of gender equality. There are also big gains in tertiary education and a decline in occupational injuries. These are common to almost all provinces. On the health side, life expectancy has risen across the country. Less positive are the changes in endocrine, metabolic, and nutrition disease rates and in availability of hospital beds. The inter‐province indicator of inequality has also increased. Furthermore, the overall level of inequality has gone up and the difference in inequality between provinces has not fallen. There has been no increase in green spaces or efficiency of courts. There has been progress in poverty reduction but not enough to meet the SDG target by 2030 and regional differences in poverty remain stark. The Italian data are subjected to estimation of causal linkages between indicators using a system of equations. Two‐stage least squares estimation is carried out on the panel data set for provinces in Italy. The empirical modeling finds a positive impact of wealth on life expectancy and of income on poverty. There is an effect of an increase in income on poverty at the sub‐national level. There is also a negative impact of NGOs on land under construction, which is something not observed elsewhere as far as we are aware.

Shock or empowerment? Artificial intelligence technology and corporate ESG performance

Artificial intelligence (AI) plays a significant role in realizing sustainable economic development. This paper uses the textual content of annual reports of listed companies to count 73 words frequencies related to AI and construct AI indicators through precise vocabulary. It also examines how AI affects environment, social, and governance (ESG) performance at the firm level using unbalanced panel data of Chinese listed firms from 2007 to 2022. The results indicate that the development of artificial intelligence has significantly improved the ESG performance of Chinese listed companies, and the conclusion still holds after a series of robustness tests. As a moderating variable, macroeconomic policy uncertainty reinforces the positive impact of AI on ESG performance. In terms of the impact mechanism, AI enhances firms’ ESG performance by increasing firms’ total factor productivity and R&D expenditures. The results of heterogeneity analysis show that AI has a significant positive impact on the ESG performance of non-state-owned firms, firms with executives without overseas backgrounds, and technology and capital-intensive firms. Compared with the western region, AI in the eastern and central regions has a more significant improvement effect on ESG performance. Our study deepens the knowledge and understanding of the role played by AI in the green development process at the micro level. It provides valuable suggestions and reflections for promoting AI development at the micro-enterprise level.

The impact of market competitors on the demand for reinsurance

PurposeAccording to the market competition theory, a firm’s decision-making is influenced by the behaviors or strategies of its competitors. The repercussions of competition include market-stealing and spillover effects. Relatively few studies in the reinsurance literature discuss the effect of competitors on an insurer’s decision-making. This study aims to fill a gap in the reinsurance literature by comparing insurers' reinsurance demand to their competitors' reinsurance purchases.Design/methodology/approachThis study uses unbalanced panel data for the US property-liability insurance industry from 2006 to 2017 to determine the impact of competitors' reinsurance purchases on insurers' reinsurance demand. This study employs the Mixed Effect Model and the Quantile Regression to test the proposed hypotheses.FindingsThe evidence suggests that the affiliated reinsurance purchases of competitors have a positive and substantial effect on the affiliated reinsurance demand of insurers, crediting mimicking the reinsurance strategy. Interestingly, the market-stealing effect is supported while the non-affiliated reinsurance metric is used. Remarkably, given insurers with low non-affiliated reinsurance purchases, the finding sustains the mimicking reinsurance strategy. Nevertheless, the market-stealing effect remains a concern for insurers with a high non-affiliated reinsurance purchase.Originality/valueThe new findings concerning competitor effects analysis fill a void in the reinsurance literature. Risk diversification, capital substitution, and real services demand may play a crucial role in determining the market-stealing effect, leading to a decrease in market share. Insurers can mitigate the market-stealing effect of competitors by accessing expertise and capital substitution through non-affiliated reinsurance purchases.

Trade networks and corporate ESG performance: Evidence from Chinese resource-based enterprises

Trade network connects enterprises together, while its impact on corporate ESG performance is unknown. Drawing on unbalanced panel data of resource-based enterprises in China from 2009 to 2021, this study decomposes the trade network into purchasing network and sales network based on trade directions, and explores their impact on corporate ESG performance and the mechanisms involved. The findings indicate that: (1) The trade networks exhibit a negative correlation with corporate ESG performance. Meanwhile, purchasing network demonstrates a more pronounced adverse impact on corporate ESG than sales network. After a series of endogeneity tests, the above results still hold. (2) Heterogeneity analysis shows that trade networks have a more significant effect on the ESG performance of state-owned enterprises, mature enterprises and heavily polluting enterprises. And the most pronounced negative effect is observed in the governance (G) component of ESG. (3) Mechanism analysis reveals that trade networks negatively influence corporate ESG performance by impeding the progress of green innovation and internal control. (4) Accelerating digital transformation and intensifying government environmental regulations can mitigate the inhibitory impact of trade networks on corporate ESG performance. This study provides theoretical support and empirical evidence for resource-based enterprises to enhance ESG performance while reinforcing trade linkages.

A regional analysis of climate change effects on global snow crab fishery

AbstractThe snow crab fishery faces increasing vulnerability to environmental factors, yet the literature on the relationship between climate change and snow crab harvest remains limited. This study estimates snow crab harvest functions using climate change indicators with unbalanced panel data of snow crab production from the eastern Bering Sea (Alaska), the southern Gulf of St. Lawrence (Canada), the Sea of Japan, and the Barents Sea (Norway‐Russia). The relationship between snow crab biomass, stock, and catch is analyzed and the endogeneity of stock in the harvest function is also addressed using climate change indicators as instrumental variables (IVs). The results show that the extent of Arctic sea ice is effective in addressing the endogeneity, and the random effects IV model with error components two stage least squares estimator performs the best to control heterogeneity. A 1% increase in snow crab fishing effort is associated with a 0.42% increase in snow crab harvest, and a 1% increase in snow crab stock causes a 0.98% increase in snow crab harvest. The reported estimates indicate a large stock‐harvest elasticity and provide supporting evidence to prioritize stock enhancement in snow crab fishery policy designs to maintain stocks at sustainable levels and minimize government expenditures on subsidies.Recommendations This study explores how snow crab harvests are influenced by snow crab populations and fishing efforts in the context of global warming across various global regions, including the Bering Sea, the Gulf of St. Lawrence, the Sea of Japan, and the Barents Sea. A 1% increase in fishing effort is associated with a 0.42% increase in harvest, while a 1% increase in snow crab population leads to a 0.98% increase in harvest, showing a high dependency on snow crab biomass. Arctic sea ice extent is identified as a crucial climate factor affecting snow crab biomass and harvests, making it a valuable variable for understanding and managing snow crab populations. The study supports the prioritization of stock enhancement policies by fishery agencies and suggests standardizing how fishing effort is measured across different regions to improve snow crab fishery management and future research.

Economic growth and stock market development: Evidence from some selected countries

By sustaining the required capital and investment, the financial sector plays a critical role in achieving economic growth and stability. This paper conducts a comprehensive examination of the relationships between stock market development and economic growth in 11 post-socialist countries and China. Unbalanced panel data from selected countries from 1995 to 2020 were used for this study. We wanted to disclose the cointegration of crucial variables in assessing Granger causalities using the Vector Auto-Regressive (VAR) model. Our findings confirm the Neutrality Hypothesis (NLH) when we investigated the existence of an independent association between Economic Growth (EG) and the Composite Index of Stock Market Development (SMD). The study's recommendations emphasize the significance of changing economic policies to account for disparities in economic growth and stock market development to ensure sustainable development in the selected countries.