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Corporate social responsibility (CSR) promotes society, reduces risk, and encourages ethical business practices. Due to its relevance, we study how CSR influences firms' sustainable development. We analyze data from 427 New York Stock Exchange (NYSE)-listed firms from 2008 to 2022. The Refinitiv environmental and social score is used to measure CSR, whereas for firms' sustainable development we rely on corporate sustainable growth rate (SGR) and market-based metrics. The analysis employs various econometric techniques, including ordinary least square, fixed effect regression, two-stage least square, generalized method of moment, and simultaneous quantile regression. The results indicate that CSR has a positive and significant effect on firms' sustainable development across all models. This relationship supports the notion that socially responsible business can contribute to long-term financial sustainability in line with “stakeholder theory”, indicating that companies should accommodate the concerns of various stakeholders, including society and the environment, to achieve sustainable development. We evaluate how the conditional distributions of SGR and firms’ value are affected by CSR, categorizing them into high, moderate, and low regimes. The quantile regression estimates indicate that the effect of CSR is more pronounced at upper quantiles, followed by moderate and low regimes. These findings underscore the importance of considering CSR in assessing the SGR and enterprises market value. We also confirm that our results are robust under range of different econometrics' methods. Finally, we enlighten current literature, and our research has useful policy implications for management and investors.

The first alternative is to enrich shareholding by management. The basic theory of this research is the agency theory. This study aims to examine the institutional ownership, dividend policy, debt policy, and risk that are interconnected directly or indirectly. The research sample was a non-financial company from 2010 to 2014. Four variables will be tested using Two-stage Least Square (2SLS) in the SPSS application. The result of this study represents the overall interdependency relationship among institutional ownership, dividend policy, debt policy, and risk. The research outcome signifies an interdependency relation for endogenous variables, even if some exogenous variables have no significant relation. In addition, the effects of substitution between institutional ownership and dividend policy, debt policy and dividend policy, and institutional ownership and risk. Meanwhile, institutional ownership and dividend policy, risk and dividend policy, and risk and debt policy have no substitution effect.

The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.

This study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.

Using the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.

This is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.

Few studies utilize insurance sector data to analyze how insurers' competitiveness affects their risk-taking decisions. To fill the research gap, this study aims to investigate the relationship between insurers’ competitiveness and risk-taking decisions.

This study employs unbalanced panel data for the US property-liability insurance companies from 2006 to 2019. Two-Stage estimation is applied to address the endogeneity issue, such as the Two-Step Generalized Method of Moments, General Two-Stage Least Square and Two-Stage Quantile Regression.

The regression analysis reveals that insurers' competitiveness in their risk-taking decisions is primarily negative. The finding suggests that insurers with low (high) competitiveness tend to take more (less) risk. This study sheds light on how insurers with low competitiveness may alter their risk preference, supporting the fundamental argument of the prospect theory, the CEO hubris argument, the risk-return theory and the risk-sensitivity theory.

The critical findings of this study provide policy implications when evaluating and drafting insurance legislation. Regulators must pay close attention to insurers' riskier decisions while insurers with low competitiveness or during periods of economic recession.

This research contributes to the literature by assessing whether insurers' competitiveness influences their risk-taking decisions. The empirical findings suggest that insurers with low competitiveness take on greater risks to gamble for survivability and boost profits to strengthen their financial standing. The evidence indicates that insurers may risk-seeking or irrational decision-making when facing a competitive disadvantage.

This paper examines the relationship between entrepreneurs' internality of causal attributions and firm growth during an economic crisis. We propose a U-shaped relationship between the two variables, arguing that the highest-growth entrepreneurs are those with either the highest or lowest levels of internal attribution (IA) during such periods.

To test our hypothesis, we analyze a database of 804 interviews with entrepreneurs in Brazil during a period of economic stress. Due to the existence of endogeneity, we estimate a model of simultaneous equations in two stages.

We find evidence of a U-shaped relationship. This means that during economic stress, the fastest-growing entrepreneurs are those who rely more on their own effort (high IA) and those who attribute their success to the economic crisis (low IA).

Tailoring interventions based on attribution patterns and recognizing the U-shaped relationship ensures effective support during economic stress. Entrepreneurial support programs should align with internality levels, emphasizing external awareness or skill development accordingly. Policymakers should take attributions into account when promoting financial resilience. Entrepreneurs would benefit from awareness programs on attributions for reflective decision-making. Ecosystems should foster collaboration by recognizing diverse attributions, enhancing a collective understanding of entrepreneurial responses in crises.

Our results have important implications for understanding the role of entrepreneurs in economic crises. Our results are relevant because they challenge the usual claim that entrepreneurs with high IA are the ones who perform better in situations where external economic conditions are adverse.

This paper aims to explore the relationship between corporate corruption risk and environmental, social and governance (ESG) reporting and if this relationship is moderated by business ethics.

Data from a sample of 347 European firms selected from the ESG Index between 2010 and 2020 were used to test the model using panel data and multiple regressions. This paper considered the feasible generalized least squares estimation for linear panel data models. A multiple regression model is used to analyze the moderating effect of business ethics on the association between corporate corruption risk and ESG reporting. For robustness analyses, the authors included the alternative measure of the dependent variable, and they applied the simultaneous equation model for the endogeneity test.

The empirical results reveal a negative relationship between corporate corruption risk and ESG reporting. Furthermore, the findings suggest that business ethics positively moderate the relationship between corporate corruption risk and ESG reporting.

This paper presents an enormous contribution to the various economic agents involved in the company. The results could attract the attention of socially responsible investors and, above all, corporate citizens. Moreover, the managers of corrupt companies could take into account the results of this study by being more committed to an optimized transparency strategy on ESG reporting.

To the best of the authors’ knowledge, this is the first study to investigate the moderating role of business ethics on the relationship between corporate corruption risk and ESG reporting in the European context. It is also the first study documenting that business ethics reinforce the relationship between firm corruption and nonfinancial information transparency. This study fills a research gap as it expands the existing literature, which generally focuses on the impact of corporate corruption on ESG reporting.

This research explores the role of economic growth to influence the inter-relationship between capital, liquidity and profitability of commercial banks in selected asian emerging economies.

To achieve the research purpose, an empirical model was constructed to examine the role of economic growth in the inter-relationship between banks' capital, liquidity and profitability. The empirical model was tested through two stage lease square (2SLS) regression analysis using annual data of Asian commercial banks ranges from 2011 to 2019.

The findings indicate that bank capital and liquidity are interdependent and determined simultaneously. The outcome demonstrates that the strength of the inter-relationship between banks' capital, liquidity, and profitability improves when economic growth is taken into account in the analysis. The results report that market funding, loan ratio, credit risk, bank size and bank efficiency are significant indicators to influence commercial banks' liquidity, profitability and capital in Asian emerging economies. The findings are heterogeneous across large, medium and small-sized banks in emerging economies of Asia.

The results highlight that the model provides robust results with respect to sign and significance. However, the coefficient remains underestimated without incorporating economic growth, which has important implications for decision-makers and bankers.

To the best of authors’ knowledge, this is the first study that examines the role of economic growth to influence the inter-relationship between capital, liquidity and bank profitability in the emerging economies of Asia.

In India, the operational performance of the refinery is influenced by many factors. It is important to identify those key drivers which can assist the refineries to uphold and succeed in day-to-day production activities. Therefore, the purpose of this study is to evaluate the operational efficiency of seven Indian oil refineries during the period 2010 to 2018.

In this work, a two-stage empirical analysis is proposed. In the first stage, the data envelopment analysis (DEA) – variable return to scale model is used to evaluate the operational efficiency of the Indian oil refineries. The ordinary least square (OLS), random effect generalized least square (GLS) and Tobit model are used in the second stage to identify the key determinants of efficiency and to explain the variation in refinery efficiency.

The first-stage DEA results showed that the Numaligarh Refinery Limited and Chennai Petroleum Corporation Limited are found to be more efficient than the rest of the sampled refineries and attained their efficiency scores of 0.993 and 0.981, respectively, during the study period. The second-stage regression analysis suggested three explanatory variables: refinery structure, utilization rate and distillate yield, which are found to be significant in explaining variations in refinery efficiency.

This study provides valuable information that would help policymakers to formulate policies toward improving the efficiency of underperforming Indian refineries, which reduces the excessive use of resources and gives a competitive advantage.

This study proposes the first-ever application of the profit frontier DEA model for assessing the operational efficiency of oil refineries and explains the variation in refinery’s efficiency using OLS, GLS as well as the Tobit model.

Prior studies have shown that heterogeneity plays a crucial role in addressing soft issues linked to a firm’s corporate social responsibility stance. The purpose of this paper is to extend the prior literature on the effect of gender heterogeneity on environmental, social and economic performance dimensions, specifically, whether the female boardroom presence weakens or strengthens the performance along the three dimensions, commonly referred to as the corporate sustainability.

The study from a positivist philosophy adopts a quantitative approach, and the final sample consisted of forty-six companies listed on the Nigerian Stock Exchange for the year 2011–2018. The final sample was a balanced panel of 344 firm years. The dependent variables were return on assets (ROA), environmental performance (ENV) and donations made for social causes (SOP). The ENV was measured using a content scoring system, with range of 1 to 5. The data were analysed using the fixed effects and GLM regression models. To further address the issue of endogeneity, a two-stage least squares regression was conducted.

The findings show a positive relationship between gender heterogeneity and ROA, which was also confirmed for the environmental performance index. However, the sign reversed in the SOP model and showed a negative relationship between gender heterogeneity and donations, the proxy for SOP. The results are in tandem with the stakeholder axioms that argue that commitment to other stakeholder groups strengthens firm performance in the long run.

An implication of this study is the fact that information availability has been rapidly escalating in the country, leading to rising social movements and civic unrest; therefore, corporations that face negative castigations may pay the huge price of product boycott and loss of market value.

The findings of this study provide additional insight into the influence of female boardroom presence on the environmental, social and economic performance of firms. The findings suggest the relevance of the resource dependence theory, especially from a developing country context, to ensure an improved corporate governance structure in Nigerian manufacturing firms.

Today, the sustainability and outreach of microfinance institutions (MFIs) are crucial to the success of microfinance and the sector’s potential to make a lasting impact. The ability of MFIs to operate financially well without sacrificing their social goals has come under scrutiny. This study aims to identify the kind of relationships between the two objectives of MFIs in Ethiopia.

This study investigated the association between the outreach and financial sustainability of Ethiopian MFIs from the years 2012 to 2021 using a balanced set of panel data. The study used secondary data and employed a descriptive research design and a quantitative research approach. To this end, random and fixed effects estimation models, as well as three-stage least squares, with the model of seemingly unrelated regression (SUR) are used.

According to the study, outreach performance enables MFIs to achieve sustainability/financial performance. On the other side, MFI that are financially sound improve social performance. There was therefore no trade-off between the two objectives.

As Ethiopia’s microfinance sector shifts away from government and non-government backing and toward commercialization, such research is crucial. This aspect of the Ethiopian microfinance industry has gotten little consideration in research. The SUR model was used in the study together with random and fixed effect estimators, and the most reliable estimation result was chosen based on the necessary tests.