Green bonds have emerged as a novel funding mechanism specifically aimed at addressing environmental challenges. Focusing on A-share listed companies in China that went public with bond issues domestically from 2012 to 2021, we reveal that companies with higher energy usage and better environmental disclosure quality are the most inclined to issue green bonds. Such issuance is identified as a pathway towards real green transformation, markedly boosting the green transformation index, green innovation efficiency, and ESG performance. Further analysis indicates that the effect of substantial transformation is particularly pronounced among companies in the eastern regions of China.

How enterprises can leverage frontier technologies to achieve synergy between environmental governance and high-quality development has become a critical issue amid the deepening global push for sustainable development and the green economic transition. Based on micro-level data of Chinese enterprises from 2009 to 2023, this study systematically examines the impact of artificial intelligence (AI) on corporate green governance performance and explores the underlying mechanisms. The findings reveal that AI significantly enhances green governance performance at the enterprise level, and this effect remains robust after accounting for potential endogeneity. Mechanism analysis shows that AI empowers green transformation through a dual-path mechanism of “cognition–behavior,” by strengthening environmental tendency and increasing environmental investment. Further heterogeneity analysis indicates that the positive effects are more pronounced in nonheavy polluting industries and state-owned enterprises, suggesting that industry characteristics and ownership structure moderate the green governance impact of AI. This study contributes to the theoretical foundation of research at the intersection of digital technology and green governance, and provides empirical evidence and policy insights to support AI-driven green transformation in practice.

The scale expansion of low-carbon industries and the green transformation of carbon-intensive industries are two sides of the same coin in achieving the “dual carbon” goals. However, research on transition finance supporting the upgrading of traditional existing carbon-intensive industries remains insufficient. The key to examining the effectiveness of transition finance lies in distinguishing whether the supported enterprises are engaging in greenwashing or green evolution. Based on data of Chinese A-share listed companies in the carbon-intensive industries, an empirical study is conducted and offers the following findings: (1) Transition finance not only does not increase greenwashing but also promotes comprehensive green innovation in carbon-intensive enterprises. (2) In terms of the influencing mechanism, transition finance exerts “resource effects” and “signaling effects,” promoting green innovation by improving debt maturity mismatch and attracting green institutional investors. (3) Heterogeneity analysis shows that the positive impact of transition finance on green innovation is particularly pronounced among enterprises in the eastern region, state-owned enterprises, and those with lower levels of managerial myopia. (4) Further industry spillover effects analysis reveals that transition finance empowers green innovation within industries though peer effects and competitive effects. The findings are essential for understanding the effectiveness of transition finance and offer valuable insights for policymakers.

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.

The study explores the impacts and processes of traditional Confucianism on the green technology innovation behavior of organizations from the perspective of the informal system, using samples of Chinese A-share listed companies from 2003 to 2022. The findings indicate that Confucianism has a significant promotional effect on green technological innovation, which remains robust after using the cross-multiplier term between the number of regional Confucius temples and the mean ESG of firms as an instrumental variable to mitigate the endogeneity problem and a series of tests. According to mechanistic research, Confucianism works largely through two channels: reducing agency conflicts and raising environmental consciousness. Further investigation reveals that there is a substitution impact between Confucianism in the informal institution and environmental legislation in supporting green technology innovation in firms. To encourage green technological innovation in enterprises, it is critical to emphasize the integration of informal and formal systems, as well as to fully use traditional culture’s governance efficacy in supporting the enterprise green transformation.

Increasing greenhouse gas emissions, especially CO2, pose a serious challenge worldwide. Digital financial inclusion can help alleviate liquidity constraints and accelerate the green transformation of production, changing how and what households consume. This change can impact households’ indirect CO2 emissions. However, empirical research on the nexus between digital financial inclusion and households’ indirect CO2 emissions, especially from a microscopic perspective, has remained scant. This study investigates the impact of digital financial inclusion on households’ indirect CO2 emissions using a survey panel dataset of 13,624 Chinese households. The results show that digital financial inclusion promotes households’ indirect CO2 emissions.This finding is robust to the alternative model specifications and methods.Further analyses based on the mediation model show that digital financial inclusion increases households’ indirect CO2 emissions by promoting subsistence and development consumption upgrades. In addition, the effects of different services of digital financial inclusion are heterogeneous. Payment, credit, and credit investment services are positively and significantly related to households' indirect CO2 emissions, whereas other services are not. Overall, our findings provide evidence of the social benefits of digital financial inclusion policies and also have several implications for addressing environmental problems.

This study investigates how digital transformation affects public sentiment toward firms on social media platforms in China. Using 2008-2022 data on Chinese listed companies and multivariate regression analysis, this paper identifies that digital transformation boosts positive online comments and sentiment. This relationship is mediated by gains in total factor productivity from digital initiatives. Moreover, concurrent green transformation positively moderates the effect, amplifying the impact of digital moves on online positive sentiment. Heterogeneous results reveal that the digital transformation effect on online positive sentiment is greater for state-owned, high-tech, and large companies. To our knowledge, this is the pioneering study to examine the linkage between corporate digital transformation and online public sentiment. The findings reveal whether, how, and when digital transformation shape more favorable public sentiment and online buzz. Companies can leverage digitalization, productivity improvements, and green development to foster positive perceptions and enhance their online reputation.

This study examines the impact of climate-transition risks on trade credits for Chinese listed companies from 2007-2017. We develop an index of county-level climate-transition risks faced by Chinese-listed companies using data on local carbon emissions and carbon sequestration when moving towards net zero carbon emissions. Our two-way fixed effects OLS regression results find that local firms facing greater climate-transition risks significantly reduce their trade credit financing. Specifically, a one standard deviation of increase in Risk leads to a 0.73% decrease in trade credit. This reduction is more pronounced for state-owned enterprises (SOEs), firms operating in less competitive industries, and those headquartered in regions without carbon trading markets. Our main finding is robust to a battery of sensitivity tests including the use of alternative measures and lagged independent variables. Results on an Instrumental Variable (IV) method and a differences-in-difference (DiD) analysis suggest a causal relationship between climate-transition risks on trade credit. Further analyses reveal two plausible channels for the effect: increased financial distress risk and enhanced access to bank credit.

In the process of green transformation of China's economy, it is of great practical significance to study the impact of green finance in supporting the development of the real economy, especially the impact of green credit on enterprise innovation, in order to promote the green transformation of enterprises, industrial structure upgrading and sustainable economic development. This paper takes green credit as a perspective and introduces it into the analytical framework of the impact of environmental regulation on corporate green innovation, through theoretical mechanism analysis and empirical testing, in order to reveal the impact and mechanism of green credit on corporate green innovation. It is found that green credit can effectively promote green innovation in heavy polluting enterprises, and it is mainly reflected in the increase of green utility model patent applications with a low degree of inventiveness. The promotion effect of green credit on green innovation is more obvious in regions with lower levels of economic development. Further mechanism analysis shows that green credit policy promotes green innovation of heavy polluting enterprises mainly through the incentive effect brought by changing financing environment and the pressure effect brought by increasing market competition. The findings of this paper can provide references for policy-making departments, banks and enterprises.

Family responsibility is a fundamental social concept that has a profound and long-lasting impact on people’s behavior, especially in China. Using the Chinese premarital check-up rate of the CEO’s birthplace as a proxy variable for the CEO’s sense of family responsibility, we examine its impact on firm environmental, social, and governance (ESG) performance. Our results show that the CEO’s sense of family responsibility can significantly improve firm ESG performance. We identify three possible channels behind this effect: curbing corporate violations, promoting green transformation and increasing charitable investments. Further analysis shows that the effect is more pronounced for firms with a strong Confucian cultural atmosphere. However, the promotion effect becomes weaker when the CEO has overseas experience. Moreover, the improvement in ESG performance driven by family responsibility may help firms to increase total factor productivity. Overall, our study provides evidence on the impact of CEO’s family responsibility, an informal institution, on firm ESG performance.