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.

Environmental disclosure in emerging markets remains poorly understood, despite its critical role in sustainability governance. Here, we analyze 42,129 firm-year environmental disclosures from 4,571 Chinese listed firms (2008-2022) using machine learning techniques to characterize disclosure patterns and regulatory responses. We show that increased disclosure volume primarily comprises boilerplate content rather than material information. Cross-sectional analyses reveal systematic variations across industries, with manufacturing and high-pollution sectors exhibiting more comprehensive disclosures than consumer and technology sectors. Notably, regional rankings in environmental disclosure volume do not align with local economic development levels. Through examination of staggered regulatory implementation, we demonstrate that market-based mechanisms generate more substantive disclosures compared to command-and-control approaches. These results provide empirical evidence that firms strategically manage environmental disclosures in response to institutional pressures. Our findings have important implications for regulatory design in emerging markets and advance understanding of voluntary disclosure mechanisms in sustainability governance.

This paper aims to clarify the relationship between key audit matters (KAMs) disclosure and corporate financialization. The findings reveal that key audit matters (KAMs) disclosure can provide incremental information value, thereby impeding corporate financialization in China. Moreover, this effect is more pronounced in the samples with low media attention, low shareholding of institutional investors, and non-state-owned enterprises. Further research indicates that reducing managerial myopia and easing financing constraints serve as key channels through which key audit matters (KAMs) disclosure affects corporate financialization. This study provides empirical evidence on efficiently preventing excessive financialization of enterprises, as well as some insights for mitigating systemic financial risks from the key audit matters (KAMs) disclosure perspective.

Enterprise digital transformation has become an inevitable trend in the digital economy era that can significantly impact enterprises. This paper takes the data of A-share listed companies from 2006 to 2022 as a sample to explore the effect of enterprise digital transformation on listed companies' corporate social responsibility and the mechanism of its role. It was found that corporate digital transformation can significantly enhance Csr(Corporate social responsibility), and enterprise digital transformation has a noticeable enabling effect on Csr, which can dramatically improve Csr. The relationship between the two still holds after the robustness test. It has been found that digital transformation can affect Csr by enhancing the green innovation capability of enterprises, the fairness of internal compensation distribution, and the sustainable development capability of enterprises. Heterogeneity analysis reveals that corporate digital transformation's impact on Csr fulfillment performance is more significant for non-state-owned firms and firms in the central and eastern regions. In addition, corporate financing constraints and government innovation subsidies influence Csr.

This study employs an imbalanced panel dataset of 524 Chinese commercial banks from 2009 to 2020 to investigate the influence of Basel III on banks' loan loss provisions. Our findings reveal no significant change in the relationship between loan loss provisions and capital adequacy, although it indicates a heightened impetus for Tier 1 capital management. Furthermore, the study finds that earnings management motivations, particularly related to pre-provision profits, influence banks' loan loss provisions. Basel III's enactment reduces the ability of high-earning banks to manipulate earnings using loan loss provisions. This research provides empirical evidence from China for the global assessment of Basel III's impact on commercial banks.

Fintech has significantly influenced the traditional financial industry by introducing advanced technologies and innovative business models with profound impacts. We aim to study the effect of Fintech development on labor allocation efficiency, and to explore its underlying mechanisms. Using a set of companies on Chinese A-share market over the years of 2011- 2020, we find that Fintech development plays a positive role in labor allocation efficiency, mainly through suppressing labor overinvestment. This positive effect is further reinforced by market competition. In addition, our investigation reveals that the primary pathways through which Fintech enhances labor allocation efficiency are lowering information asymmetry, mitigating agency issues and substituting low-skilled labor. Moreover, we show that the dimensions of depth and digitalization are particularly important in improving labor allocation efficiency among the three dimensions of Fintech development. Lastly, we find that Fintech development enhances total factor productivity by improving labor allocation efficiency.

We examine the impact of state-owned shareholders on fraud within private firms. Utilizing a sample of A-share private listed firms in China observed from 2008 to 2021. We discover a significant negative association between state-owned shareholders and the likelihood of fraud in private firms. State-owned shareholders primarily act as inhibitors of fraud, and their effect on the probability of fraud being detected is not statistically significant. This finding remains robust even after conducting a series of sensitivity tests to mitigate potential selectivity bias and reverse causality endogeneity issues. In the analysis of heterogeneity, we found that state-owned shareholders play a more active role under conditions of imperfect external institutional development, and they also exert a more significant inhibitory effect on enterprises with lower governance levels and higher business risks. Our mechanism test demonstrates that the inhibitory effect of state-owned shareholders on corporate fraud is achieved by improving corporate governance and alleviating financial distress. This study also examines the impact of state-owned shareholders' local characteristics, external supervision mechanisms, and internal governance mechanisms in unique Chinese enterprises on fraudulent behaviour by private enterprises. Overall, our study provides empirical evidence that state-owned shareholder ownership is associated with reducing fraudulent behaviour within private firms.

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.

As digital transformation strategies have emerged as a primary approach for enterprises to enhance their Total Factor Productivity (TFP), it is crucial to empirically examine the impact of these strategies on TFP. For this purpose, this study considers these transformation strategies as a quasi-natural experiment and employees a propensity score-weighted difference-indifferences methodology on data from Chinese firms listed on the A-share market between 2007 and 2020. The key findings include: (1) digital transformation has a significant positive influence on TFP; (2) Generalized boosted regression trees analysis reinforces this finding after controlling for other TFP determinants; (3) notably, non-state-owned and technology-intensive enterprises exhibit a more distinct enhancement in TFP following digital transformation. These results underscore the need for firms to increase investment in research and development capabilities and digital competencies.

The aging population is expanding globally, and addressing the challenges of elderly care is urgent. Using the 2019 China Household Finance Survey data, this study finds that commercial pension insurance significantly promotes households’ allocation of risky financial assets. We test the mechanisms using household risk perception and investment risk preference as mediating variables. Heterogeneity analysis reveals that the positive effect of commercial pension insurance on risky financial asset allocation is more significant in rural households with household registration, those with two sets of housing, and households in the northeast. The research findings of this article aim to promote the continuous improvement of China’s elderly care system and provide important empirical evidence for the formulation of relevant policies.