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We aim to analyze the capital structure heterogeneity for manufacturing and service sector firms. Additionally, we analyze the impact of the COVID-19 pandemic on the leverage adjustments of corporate firms.

This study applies the two-step system generalized method of moments (system-GMM) and panel data of 1,115 manufacturing and 482 service sector firms listed with the Bombay Stock Exchange (S&P BSE) from 2010 to 2023. We developed and analyzed three models. Model 1 analyzes the leverage determinants and speed of adjustment (SOA) for the manufacturing and service sectors. Model 2 evaluates the leverage SOA for various sub-sectors, and Model 3 analyzes the impact of the COVID-19 pandemic on the leverage SOA.

This study suggests the three following. First, the direction of leverage determinants suggests that manufacturing firms are highly tangible. In contrast, service sector firms are high-growth firms and recorded a higher SOA (12.01%) than manufacturing (9.09%). Second, analyzing the leverage heterogeneity, we found that SOA varies across the sub-sectors. For manufacturing, food and beverage sub-sector recorded the highest SOA (12.58%), while consumer durables reported the lowest (6.38%). Communication recorded the highest (24.15%) for services, while industrial services recorded the lowest (11.18%). Third, firms across sectors and sub-sectors increased their SOA during COVID-19 pandemic.

This in-depth analysis of leverage heterogeneity for different sectors and subsectors will assist policymakers, corporate managers and other stakeholders in making agile financial decisions.

The analysis of leverage heterogeneity for the manufacturing and service sector from the emerging Indian economy marks a novel contribution to existing literature.

This study explores the moderating effect of board gender diversity (BGD) between a firm's Environmental, Social, and Governance (ESG) performance and Economic value added (EVA) using NSE-listed 331 companies' data from 2015 to 2020, forming 1986 firm-year observations.

Our study is based on panel data; hence, we use a system GMM panel regression model to confirm whether the BGD moderates ESG and EVA. We also address the endogeneity issues.

Overall, our study reported a positive moderating effect of BGD between ESG and EVA. Similar results were observed across the chemical and financial services industries. However, in the case of the healthcare and consumer goods industries, we did not find support for the moderating effect.

The implications of our results are considerable and relevant for regulators, governing bodies, and corporate managers. It helps them understand how BGD plays a vital role in influencing the effect of ESG on a firm's EVA.

No existing research has explored the moderating effect of BGD between ESG and EVA, to the authors' best knowledge. Therefore, our study extends the existing literature and further supports resource dependency, agency, and stakeholder theories of corporate governance.

The current study immerses in the realm of bank mergers among prominent PSBs in India, focusing on the financial performance of six recently merged PSBs entities. Amidst the global impact of the COVID-19 pandemic on economies, the study aims to uncover the efficiency of these PSBs in navigating this unprecedented crisis.

The evaluation encompasses panel data on an annual basis spanning from 2020 to 2023. To assess the overall efficiency of merged PSBs, the advanced statistical technique like one-step system generalized method of moments has been applied to estimate its efficiency.

The study findings affirm that PSB mergers have bolstered financial metrics and efficiency. Enhanced return on equity (ROA) and net profit margin (NPM) signify improved profitability and efficiency. The consolidation also facilitates better asset management and utilization. Moreover, merged entities benefit from economies of scale, cost efficiencies, risk diversification, technological investments, and overall performance improvements.

The study's policy suggestions stress ongoing consolidation efforts to boost banking sector resilience, advocating for improved efficiency, governance, and asset quality management. These steps are crucial for successful bank mergers and fostering a robust, competitive banking landscape in India.

This study is a novel attempt to analyze Indian bank profitability and efficiency post PSB mergers amid COVID-19 pandemic. In a developing country like India, especially in PSBs has experienced significant structural changes over the previous 7 years just before pandemic, such a study necessitates a prompt empirical investigation.

Although the consequences of illicit financial outflows on the economies of the world continue to exert adverse impacts on many economies of the world, explanations regarding specific drivers of the illicit outflows remain divergent in the literature. This study aims to investigate the effect of financial liberalisation on illicit financial outflows in Africa. Furthermore, the study also examines the effect of macroeconomic stability and institutional quality on illicit outflows.

To achieve the objectives, the study uses a dynamic panel system generalised method of moments technique to analyse annual data from the period 1995 to 2015 of 22 African countries.

The results show that financial liberalisation helps to reduce illicit capital outflows. Furthermore, improved institutional quality is associated with lower levels of capital outflows, thus affirming the theoretical expectations that stable political environment boost investor confidence. Overall, the study show that financial liberalisation reduces illicit outflows. However, liberalisation without sound macroeconomic stability and institutional quality may avail opportunities for illicit outflows.

The main limitation of the study was lack of data that spans periods beyond 2015 for most of the variables on financial illicit flows. The available data sources could not test the objectives beyond 2015.

Current literature on the relationship between financial liberalisation and illicit fund outflows are generally conducted in the context implications on economic growth. However, beyond economic growth, financial liberalisation may impact on illicit financial outflows. Furthermore, other institutional and macroeconomic dynamics may influence illicit financial outflow, especially for developing economies in Africa.

This paper aims to examine the connection between digital payments, ownership structure, and bank performance in Jordan, as well as investigate the moderating role of the independent director in the said relationship.

The study uses data from 12 Amman stock exchange-listed commercial banks, covering the period from 2010 to 2023. This paper employs econometric analysis of panel data, including ordinary least squares (OLS) regression as the primary approach, as well as the generalised method of moments, the two-stage least square (2SLS), and the dynamic model to deal with causality and endogeneity issues in the proposed equations. This ensures that the results are valid.

The results indicate that digital payments and ownership structure have a significant positive connection with bank performance. Additionally, the independent director variable appears to play a substantial and positive moderating role in the link between ownership structure (e.g. institutional ownership) and bank performance. These results strengthen and support the claims of agency theory and the information systems success model.

Overall, this research helps stakeholders, bankers, managers, investors, customers, and policymakers, identify the influence of digital payment and ownership structure on bank performance in developing economies such as that of Jordan.

This investigation offers a unique understanding by illuminating how digital payment and ownership structure affect bank performance in a developing country such as Jordan. Additionally, it opens avenues for future research to delve into this literature domain in North African and Middle Eastern nations, with a particular focus on Jordan. This investigation is among the initial explorations in Jordan that aim to elucidate these relationships. On the theoretical level, it adds to the agency theory and IS model. It provides new insights into the dynamics of industry banking in developing nations (i.e. Jordan).

This paper aims to examine the effects of corporate governance mechanisms (board chairman independence, board independent director meeting attendance, audit committee size and audit committee meetings) on the environmental, social and governance (ESG) and its individual component disclosures of listed firms in Saudi Arabia.

The study used unbalanced panel data obtained from the Bloomberg data set over 11 years, from 2010 to 2020.

The findings indicate that board chairman independence (BCI) and audit committee size (AC size) have a significant negative and positive association with ESG disclosure, respectively. However, the results show that board independent director meeting attendance (BIMA) and audit committee meetings (AC meetings) do not significantly influence ESG disclosure. Regarding the individual dimensions (components), the results show that only BIMA has a significant negative association with environmental disclosure. Besides, only BCI and AC meetings have a significant positive association with social disclosure. Also, only BIMA and AC size have a significant positive and negative relationship with governance disclosure, respectively.

The study used a sample of 29 listed companies in Saudi Arabia. Each firm has at least four years of ESG disclosures. Besides, the paper considered only four corporate governance attributes, comprising two each for the board and audit committee.

The results provide insights to regulators, boards of directors, managers and investors to enhance ESG and its components’ reporting toward the sustainable operations and better performance of Saudi firms.

This study is among the few that provide empirical evidence on how some essential corporate governance attributes that have not been given adequate attention by prior studies (board chairman independence, board independent directors’ meeting attendance, audit committee size and audit committee meetings) influence not only ESG reporting as a whole but also its individual dimensions (components).

This study aims to evaluate how audit committee (AC) characteristics affect the performance of banks in Africa.

The authors manually generated unbalanced panel data from 78 commercial banks operating in twelve (12) countries whose annual reports were published on the website of African Financials between 2010 and 2020.

The results indicate that AC size has an insignificant positive association with bank performance (return on equity and Tobin’s Q). AC independence has a significant positive association with bank performance. However, AC gender diversity has a significant negative association with bank performance. Besides, AC financial expertise has a significant positive and negative association with return on equity and Tobin’s Q, respectively.

The study considered only 78 banks that operate in twelve (12) African countries. Besides, the authors consider only four (4) AC attributes.

The findings suggest the need to maintain a smaller AC, appoint more independent members to AC, reduce the number of women appointed to AC and ensure most AC members have financial expertise. These measures could improve bank performance in Africa.

Unlike previous African studies that are mostly restricted to a country level, the study examined how AC attributes influence the performance of banks that operate in Africa.

This study aims to investigate whether the changes in gender composition of bank board affects Vietnamese bank stability efficiency.

This research covers a panel of 27 commercial banks in Vietnam over a 14-year period from 2007 to 2020. The two-step system generalized method of moments is used to estimate the gender diversity–Vietnamese bank stability efficiency nexus.

The authors find that a greater degree of board gender diversification enhances bank stability efficiency and reduces bank risk-taking in Vietnam. The relationship between gender diversity and the stability efficiency of Vietnamese banks is still valid under the influence of regulatory capital sufficiency and during the financial crisis. These findings are robust to alternative proxies for risk indicators and consistent with the perspectives of stakeholder and behavior theory.

Although this research revisits the relationship between gender diversity and bank risk-taking, it is the first attempt to explore the role of women on board in enhancing the stability efficiency of banks, using the stochastic frontier approach. These findings shed light on the function of gender diversity as a governance instrument for mitigating risk in an emerging market context.

A popular convention in the political-economy literature is that causality runs from democracy to economic growth. That thinking has continued to evoke significant debates among scholars. This study aims to propose a new research experiment by investigating whether macroeconomic variables cause democratisation.

The study uses a panel data set of 48 carefully selected economies in Sub-Saharan Africa spanning 1991 to 2020 and uses the PVAR system generalised method of moment (GMM) approach.

With the application of three macroeconomic indicators: economic growth, full employment and balance of payment equilibrium, the study suggests that economic growth has a negative implication on the democratisation process and that the incentives that increase national income provide in the global South enable autocratic rulers to impede democratic growth. The Granger causality test demonstrates a unidirectional effect from economic growth to democracy. The eigenvalue stability condition, impulse response function and forecast-error variance decomposition all confirmed the validity of the findings with the PVAR system GMM. Finally, the study proposed policy and theoretical implications for the political stakeholders.

Robust development of economic institutions (particularly the anti-corruption and rule of law) in the global South is required to tame the potential for the state actors to turn public resources into personal use to further their parochial political interest in the form of perpetuating themselves in office which negates the ideals of democracy and social norms. Strong institutions could prevent the misuse of national income and enhance a good quality of life for the citizenry, making them grow confidence in the democratisation process.

The research paper makes an insightful contributions from the methodological perspective and the sampling perspective. The author uses a new research method, the PVAR system GMM becoming the first attempt of such a method to be applied in determining the causal effects of macroeconomic variables on democracy in the literature. Another relevant contribution of the study relates to the sample technique of selecting economies from the Sub-Saharan Africa with notable weak or slow democratisation process.

This study aims to quantify the influence of urbanization on housing prices at the district-based level, while also investigating the heterogeneous impacts across different quantiles of housing prices.

The study uses remote-sensed spectral images from the Landsat 7 ETM+ satellite to measure urbanization, replacing prior reliance solely on urban population metrics. Subsequently, the two-step system generalized method of moments is used to evaluate how urbanization influences district-based housing prices through three spectrometries: Urban Index (UI), Normalized Difference Built-up Index (NDBI) and Built-Up Index (BUI). Finally, this study examines the heterogeneous impacts across various housing price quantiles through Dynamic Panel Quantile Regression with non-additive fixed effects under Markov Chain Monte Carlo simulation.

The study demonstrates that urbanization leads to an increase in regional housing prices. However, these impact magnitudes vary across housing price quantiles. Specifically, the impact exhibits an inverse V-shaped curve, with urbanization exerting a more pronounced influence on the 60th percentile of housing prices, while its effect on the 10th and 90th percentiles is comparatively weaker.

This study uses a novel method of remote sensing to measure urbanization and investigates its effects on housing prices. Furthermore, it provides an empirical application of non-additive fixed effect quantile regression for analyzing heterogeneity.