We have performed a focalized investigation to explore how corporate social responsibility (CSR) moderates the relationship between corporate governance and firms’ financial performance. We applied a panel regression to examine this relationship from a sample of 3400 Shanghai Stock Exchange (SSE) listed firms, based on yearly observations from 2009 to 2018. Our results show that the presence of female directors on the board is associated with improved firms’ performance and that corporate social responsibility (CSR) moderates this relation, thus indicating that sharing strategic decision-making with female board members revealed a better relationship between CSR and firms’ financial performance. Our findings showed that foreign institutional investors positively influenced firms’ financial performance and that CSR moderates the relation between foreign institutional shareholders and the firm’s financial performance. Supported by corporate governance theories, such as resource dependence and stakeholder theory, our results help to better understand the nexus among corporate governance, firms’ performance and corporate social responsibility. These findings are advantageous to government departments in emerging countries in terms of encouraging marketing practitioners and participants to implement CSR practices and change the attitude associated with CSR implications. This study highlighted the problems of the foreign institutional investors’ scheme, which was the main contribution to the financial market reform of China after 2003. These findings offer significant implications to corporate affairs executives and managers, practitioners, academicians, state officials, and policy-makers, and might provide China with the opportunity to extend its market liberalization to the global markets. This research also contributes to the existing literature, which investigates how CSR moderates the relationship between corporate governance and firms’ financial performance in the Chinese market context.

Our paper provides a valuable contribution by exploring the following complex phenomenon: Do board gender diversity and reputational incentives of non-executive directors affect corporate social responsibility(CSR) reporting? To this end, we use panel data regression (fixed effect) to examine the above relationship by using data from the 2009 to 2019 timeperiod, by using data from non-financial firms listed on the Shanghai Stock Exchange. To deal with the possibility of an endogeneity problem, we have used the two-stage least square (2SLS) regression model. Our empirical results suggest that board gender diversity positively affects CSR reporting. Our study has found that the reputational incentives of non-executive directors improve the CSR reporting. Furthermore, reputational incentives of non-executive directors (NEDs) and CSR reporting are moderated by firm size, this effect being stronger for large firms. Our findings also show that the firm size positively moderates the relationship between gender diversity in boards and CSR reporting. The control variables, namely board size, board member average tenure, leverage, “big 4” and return on assets, have an impact on the firm’s CSR reporting. Therefore, our results contribute towards new aspects in respect to the emerging literature concerning the system of non-executive directors, protection of stakeholder’s interests, and CSR reporting, especially as regards China. Furthermore, our results are robust as concerns alternative measures of variables under consideration.

Our article explores an underused mathematical analytical methodology in the social sciences. In addition to describing the method and its advantages, we extend a previously reported application of mixed models in a well-known database about corruption in 149 countries. The dataset in the mentioned study included a reasonable amount of zeros (13.19%) in the outcome variable, which is typical of this type of research, as well as quite a bit of social sciences research. In our paper, present detailed guidelines regarding the estimation of models where the data for the outcome variable includes an excess number of zeros, and the dataset has a natural nested structure. We believe our research is not likely to reject the hypothesis favoring the adoption of mixed modeling and the inflation of zeros over the original simpler framework. Instead, our results demonstrate the importance of considering random effects at country levels and the zero-inflated nature of the outcome variable.

We aim to map the ESG patterns of emerging-market companies from 2018 to 2021 in order to determine whether the COVID-19 pandemic exerted any influence on sustainable corporate behavior. Thus, the ESG performances were assessed by employing the Kohonen Self-Organizing Map (also known as the Kohonen neural network) for clustering purposes at three levels: (i) ESG overall, including country and sectoral perspectives; (ii) ESG thematic; and (iii) ESG four-folded (stakeholder, perspective, management, and focus strategic views). Our results show that emerging-market companies focus their ESG efforts on social and governance issues rather than on environmental. However, environmental and social behavior differ more acutely than governance behavior across clusters. The analyses of country-level ESG performance and that of eleven market-based economic sectors corroborate the geographic and sector dependence of ESG performance. The thematic-level analysis indicates that operational activities and community issues received more attention, which suggests that emerging-market companies address distinct ESG topics according to their particularities and competitiveness. Furthermore, our empirical findings provide evidence that the ESG behavior of companies has changed over the course of the COVID-19 pandemic. Thus, our findings are relevant to policy makers involved in regulating ESG disclosure practices, investors focused on enhancing their sustainable investment strategies, and firms engaged in improving their ESG involvement.