This paper examines whether employees avoid firms that commit environmental, social and governance (ESG) misconduct in China where ESG norms are weak. We find that the number of employees grows slower when firms have more ESG incidents after accounting for performance, risk, corporate governance, and time-invariant firm characteristics. The result is mostly attributable to social incidents and incidents that affect China, better educated knowledge workers, and high tech and non-labor-intensive industries, and is unlikely to be caused by layoffs. Overall, workers with better job fluidity respond to incidents that affect them personally.

We find evidence that firms engage in earnings management to potentially diminish environmental regulatory attention after the implementation of an automatic air pollutant monitoring system in China. Polluting firms increase their use of discretionary accruals and reduce the informativeness of earnings, compared to non-polluting firms. Polluting firms that are larger, more profitable, located near monitoring stations, and situated in less market-oriented regions exhibit heightened earnings management, consistent with the greater environmental regulatory exposure these firms face. The behavior is moderated by stronger customer-supplier relationships and lower market competition, when the cost of earnings management is higher. Our findings highlight the conflict between environmental and governance issues.

In an increasingly open and transparent information environment, negative media coverage of Environmental, Social, and Governance (ESG) issues would detriment focal firms’ legitimacy and performance. However, we have a limited understanding of whether negative media coverage of supply chain partners would spill over to focal firms. Using a panel dataset from Chinese listed firms, we examine the research question at a dyadic (i.e., focal firm and supplier or customer) level. This study reveals that negative media coverage about supply chain partners’ ESG issues can cause a spillover effect, negatively impacting the focal firms’ financial performance. Notably, the extent of this impact is contingent on the reach of the media sources and the severity of the coverage. We also show that focal firms are more impacted by supply chain partners with stronger relationships and greater market power. Our findings underscore the importance of actively managing partners’ ESG issues to avoid potential financial losses within a multi-tier supply chain. This study has fruitful contributions to the literature on supply chain sustainability and the spillover effect in dyadic relationships.

ESG is emerging as a new benchmark for measuring a company's sustainable development capabilities and social impact. As a measure of ESG performance, ESG ratings are increasingly receiving attention from companies, the general public, and government institutions, and are becoming an important reference factor influencing their decision-making. This paper investigates the impact of corporate ESG ratings on Total Factor Productivity (TFP) and its mechanisms of action. Focusing on listed companies in China, we find that higher ESG ratings contribute to improving a company's TFP, and this conclusion remains valid after robustness tests and addressing endogeneity issues. Further exploration into the reasons behind this result reveals that ESG ratings can be seen as a signal that a company sends to the outside world, representing its overall performance. Higher ESG ratings enhance a company's TFP by reducing market financing constraints and obtaining government subsidies. Heterogeneity analysis shows that the positive impact of ESG ratings on TFP is more pronounced for companies with higher levels of attention, reputation, and audit quality. Additionally, we explore whether ESG ratings can serve as a predictive indicator for measuring a company's TFP. This hypothesis was tested using machine learning algorithms, and the results indicate that models incorporating ESG rating indicators significantly improve the accuracy of predicting a company's TFP capabilities.

This paper examines the impact of ESG rating divergence on stock price delays in the context of the Chinese capital market. We find that ESG rating divergence significantly increases the stock price delays. Mechanism analysis results suggest that ESG rating divergence affects stock price delays by reducing information transparency and firm internal control quality. Heterogeneous analysis results indicate that the impact of ESG rating divergence on stock price delays is more pronounced in high-tech firms and when investor sentiment is high.

There is substantial evidence indicating that enterprises are negatively impacted by climate risk, with the most direct effects typically occurring in financial domains. This study examines A-share listed companies from 2007 to 2023, employing text analysis to develop the firm-level climate risk indicator and investigate the influence on corporate financial risk. The results show a significant positive correlation between climate risk and financial risk at the firm level. Mechanism analysis shows that the negative impact of climate risk on corporate financial condition is mainly achieved through three paths: increasing financial constraints, reducing inventory reserves, and increasing the degree of maturity mismatch. To address potential endogeneity, this study applies instrumental variable tests, propensity score matching, and a quasi-natural experiment based on the Paris Agreement. Additional tests indicate that reducing the degree of information asymmetry and improving corporate ESG performance can alleviate the negative impact of climate risk on corporate financial conditions. This relationship is more pronounced in high-carbon emission industries. In conclusion, this research deepens the understanding of the link between climate risk and corporate financial risk, providing a new micro perspective for risk management, proactive governance transformation, and the mitigation of financial challenges faced by enterprises.

We study how financial markets integrate news about pollution abatement costs into firm values. Using China’s automation of pollution monitoring, we find that firms with factories in bad-news cities---cities that used to report much lower pollution than the automated reading---see significant declines in stock prices. This is consistent with the view that investors expect firms in high-pollution cities to pay significant adjustment and abatement costs to become “greener.” However, the efficiency with which such information is incorporated into prices varies widely---while the market reaction is quick in the Hong Kong stock market, it is considerably delayed in the mainland ones, resulting in a drift. The equity markets expect most of these abatement costs to be paid by private firms and not by state-owned enterprises, and by brown firms and not by green firms.

We evaluate the impact of digital finance on the ESG performance of manufacturing enterprises and whether digital and traditional finance play a complementary or substitute role in promoting the ESG performance. First, we find that developing digital finance can alleviate financing constraints and promote technological innovation, thereby increasing enterprises' investment in environmental, social, and governance, providing sufficient technical support, and improving their ESG performance. Furthermore, digital finance and traditional finance have a direct impact on the ESG performance and further enhance their influence through complementary effects. Therefore, this paper may provide a valuable reference for finance to support manufacturing enterprises' development effectively.

The study indicates that under conditions of financial repression, a enterprise’s ESG performance significantly impacts the extent of its short-term debt used for long-term purposes. The mechanism test reveals that ESG performance mitigates the degree of short-term debt for long-term use through three pathways: enhancing information transparency, alleviating financing constraints, and curbing excessive investment. Further research suggests that the influence of ESG performance on the use of short-term debt for long-term purposes is more pronounced among private enterprises, high-pollution and high-energy-consuming enterprises, and enterprises in underdeveloped regions. This paper enriches the research on the relationship between ESG performance and corporate financing decisions.

This paper investigates whether Environmental, Social, and Governance (ESG) performance influences the stock idiosyncratic risk and extreme risk. We find that the ESG performance of listed companies significantly reduces the stock idiosyncratic risk and extreme risk. Furthermore, we identify that this mitigating effect is shaped by the nature of enterprise ownership and the firm life cycle. Through additional mechanistic analysis, we confirm that ESG performance affects the stock price volatility risk of listed companies by reducing levels of corporate earnings management and bolstering corporate reputation, thereby alleviating both idiosyncratic risk and extreme risk in stock prices.