This study empirically investigates the impact of supply chain network centrality on corporate greenwashing behavior. By constructing supply chain networks of Chinese A-share listed companies, we find a strong positive correlation between supply chain network centrality and corporate greenwashing behavior, with an increase of approximately 6.20%. The paper identifies the underlying mechanism as the contagion of the green bandwagon effect within the supply chain, which is observed specifically in the downstream network, particularly among corporate-customers. Additionally, we observe that the positive effects are more pronounced in companies with lower information asymmetry, as well as in labor- and capital-intensive industries and regions with disadvantaged economic conditions. These findings offer important insights for improving corporate environmental responsibility and curbing greenwashing practices.

Green innovation is increasingly becoming a key way to address environmental issues. Due to the negative impact of green patent bubbles on sustainable development, this paper emphasizes the significance of green innovation quality. Using data from China’s A-share listed companies from 2008 to 2020, this paper investigates the impact of corporate social responsibility (CSR) on green innovation quality. The findings suggest that CSR promotes high-quality green innovation while inhibiting low-quality green innovation. Willingness to innovate and ability to innovate are the mechanisms through which CSR influences high-quality green innovation.

This study examines the impact of strategic alliances on corporate green innovation. We find that strategic alliances significantly promote corporate green innovation. Mechanism tests indicate that strategic alliances promote green innovation through channels of attracting market attention, alleviating agency problems, and stimulating collaborative innovation. Heterogeneity analysis demonstrates that the effects of strategic alliances are more pronounced for firms in areas with stringent environmental regulations and a favorable business environment, and firms facing intense product market competition. The findings provide new insights into the green transformation and upgrading of enterprises.

This paper examines the spillover effect of environmental regulations on firms’ green technological innovation, from the perspective of supply chain relationships. Analyzing data from Chinese listed companies, we find that the average environmental regulatory pressure faced by the client firms of a supplier firm enhances the green patent applications filed by the supplier firm, indicating that environmental regulatory pressure from clients spills over to suppliers. When the industries of suppliers are more competitive or the proportion of their sales from the largest client is higher, suppliers feel more pressured to engage in green innovation, resulting in more green patent applications. Thus, via their negotiation power, client firms can prompt supplier firms to innovate to meet their demand for green technologies. Finally, we show that this effect is particularly pronounced when supplier firms are located in highly marketized regions, receive low R&D government subsidies, or have high ESG ratings.

Comprehensive evaluation and identification of the critical regulatory determinants of carbon emission efficiency (CEE) are very important for China’s low-carbon transition. Accordingly, this paper first employs an undesirable global super-hybrid measure approach to calculate the CEE of China’s iron and steel industry (ISI). We then further use spatial error and threshold regression models to examine the spatial and non-linear effects of heterogeneous environmental regulations on CEE, respectively. Our empirical results show that (1) CEE varies significantly across China’s regions, with the eastern region having the highest CEE score, followed by the western and central regions, with the northeast region ranking the lowest; (2) command-and-control and market-incentive regulations both promote CEE, whereas the public participation approach does not significantly contribute to performance gains; (3) all three types of environmental regulations exhibit a non-linear threshold effect on CEE; (4) openness level, technological progress, and industrial concentration enhance efficiency gains, while urbanization level exerts a negative impact on CEE. Our findings have important implications for the design of environmental regulations.

Green finance has drawn increased worldwide attention from policymakers as a financial mechanism that could potentially encourage corporations to actively engage in sustainable activities. However, despite a growing body of studies investigating the economic outcomes of green financial policies, there is still a lack of research that systematically quantifies the social welfare implications of green finance. Hence, this study aims to fill this research gap by establishing the causal effect of green finance on corporate environmental responsibility. Exploiting the "bottom-up" enforcement of the green finance pilots in 2017 in China as a quasi-natural experiment and the difference-in-difference-in-difference identification strategy, we find that green finance significantly enhances corporate environmental responsibility performance in high-polluting industries relative to their counterparts, and this evidence continues to survive a battery of robustness checks. Moreover, we explore three underlying mechanisms that possibly explain this beneficial effect: risk-taking, external governance and financing channels. Furthermore, we uncover that corporate environmental responsibility serves as a plausible non-economic channel that combines green finance with economic benefits by stimulating green innovation, promoting total factor productivity and expanding market share. Overall, our study offers new insights on both the economic and non-economic consequences of green finance on business performance.

Exploiting the unexpected Central Environmental Inspections (CEI) in China as a quasinaturalexperiment, we find that public firms in polluting industries experience significant gains in both profitability and market valuation after the regulatory shock, relative to firms in nonpolluting industries. The outperformance of public firms can be explained by the retreat of their private competitors, many shut down due to poor environmental performance. Because firms seeking public listing are required to meet high environmental standards, CEI significantly strengthen public firms’ competitive position, leading to increased sales growth and market share. Moreover, the outperformance is more pronounced for firms with more eco-friendly technologies, consistent with strict environmental regulations increasing the marginal benefit of these technologies. We provide novel evidence of the bright side of environmental regulation by highlighting the importance of industry dynamics.

Using the data of Chinese listed firms from 2003-2020, this study applies a System GMM estimation approach to document that high local government ecological concerns increase a firm’s stock price crash risk. This finding remains consistent after addressing endogeneity issues and undergoing robustness checks. This study also reveals that the implementation of the new environmental protection law in 2015 mitigates the relationship between local government ecological concerns and stock price crash risk. Further analyses indicate that stricter environmental regulation and high subsidies, as well as enhanced corporate social responsibility and governance, can effectively alleviate the adverse effect of local government ecological concerns on stock price crash risk. In addition, we note that the influence of local government ecological concerns on stock price crash risk is more significant in the eastern region, heavily polluting industries, and non-SOEs. Lastly, the research identifies two potential channels through which local government ecological concerns can impact stock price crash risk by reducing the quality of information disclosure and intensifying investor disagreement.

Taking the Stock Connect scheme as an exogenous shock based on data of China’s Ashare non-financial listed companies from 2009 to 2021, we identify the causal effect of stock market liberalization on green innovation. The baseline result based on a staggered difference-indifferences (DID) model suggests that stock market liberalization promotes corporate green innovation and this effect is similar to the green benefits of China’s mandatory environmental regulations. The results are robust to various checks, including the parallel trend tests, placebo tests, and the heterogenous time-varying treatment test based on Bacon decomposition and the DIDM approach. The enhanced continuity of corporate financing, improved corporate green governance and increased firm external technological collaboration are three plausible channels that allow stock market liberalization to promote corporate green innovation. Moreover, the effect is more significant for clean firms, non-SOEs, and firms in a good institutional environment. Further analysis suggests that the green innovation-enhancing effects of stock market liberalization are more likely to be high-quality innovation. Our paper provides new insights into understanding the green benefits of stock market liberalization and achieving sustainable economic development in developing countries.

Based on the perspective of human capital and technology R & D regulation, this paper adopts the unexpected output super efficiency SBM model to calculate the ecological efficiency of digital enterprises in 30 provinces in China from 2010 to 2019, analyzes its spatial correlation, and empirically explores the driving factors of the ecological efficiency of Chinese digital enterprises under the role of environmental regulation. The results show that during the research period, the overall level of ecological efficiency of digital enterprises in China can be divided into three stages: gentle stage (2010-2014), trough stage (2014-2017) and fluctuation stage (2017-2019), and the eastern region > the central region > the western region; The ecological efficiency of China's digital enterprises as a whole shows a ladder like evolution law of decreasing from southeast to northwest, with significant spatial agglomeration and "block" characteristics; Environmental regulation has a lag effect on the ecological efficiency of digital enterprises, and the lag period inhibits the improvement of the ecological efficiency of digital enterprises; The level of human capital and the level of scientific and technological research and development have significant threshold characteristics. When the level of human capital is used as a threshold variable, the impact of environmental regulation on the ecological efficiency of digital enterprises is "U" shaped. When the level of scientific and technological research and development exceeds a certain threshold, environmental regulation has a negative impact on the ecological efficiency of digital enterprises.