This study investigates the impact of CIO on the Environment, Social, and Governance (ESG) performance. Our analysis is based on a panel dataset comprising 2395 Chinese listed companies throughout the period from 2007 to 2020. Evidence from empirical results shows that CIO is positively correlated with ESG performance. In other words, CIO enhance the corporate ESG performance. The issue of endogeneity was duly considered, and appropriate measures were made to address it. Furthermore, robustness tests were conducted, and the findings remained consistent and reliable. The examination of the mechanism indicates that CIO enhance internal control quality that facilitates the advancement of ESG activities within firms. This paper contributes to the existing body of knowledge by examining the impact of external governance systems on the promotion of ESG activities in Chinese enterprises. This study adds to the existing body of scholarship on the implications of Common institutional ownership. Findings recommend several possible policy and economic ramifications that might support Chinese enterprises in their endeavors to incorporate ESG initiatives and contribute to the overall sustainability of society.

This paper improves the expected return variable and the corresponding trend factor documented by Han, Zhou, and Zhu (2016) and reveals the incremental predictability of this novel expected return measure on stock returns in the Chinese stock market. Portfolio analyses and firm-level cross-sectional regressions indicate a significantly positive relation between the improved expected return and future returns. These results are robust to the short-, intermediate-, and long-term price trends and other derived expected returns. Our improved trend factor also outperforms all trend factors constructed by other expected returns. Additionally, we observe that lottery demand, capital states, return synchronicity, investor sentiment and information uncertainty can help explain the superior performance of the improved expected return measure in the Chinese stock market.

As digital technologies proliferate, firms increasingly leverage digital transformation strategically, necessitating new orientations attuned to digital technological change. This study investigates how digital orientation (DORI)- the philosophy of harnessing digital technology scope, digital capabilities, digital ecosystem coordination, and digital architecture configuration for competitive advantage – influences firms’ environmental, social, and governance performance (ESG_per). Analysis of Chinese A-share firms from 2010-2019 reveals DORI is associated with superior ESG_per, operating through the mediating mechanism of enhanced digital finance (DIFIN) as a fund-providing facilitator for sustainability initiatives. Additional analysis uncovers important heterogeneities – private firms, centrally owned state-owned enterprises, politically connected, and emerging companies exhibit the strongest DORI - ESG_per linkages. Prominently, the study findings are validated through a battery of robustness tests, including instrumental variable methods, and propensity score matching. Overall, the results underscore the need for firms to purposefully develop multifaceted digital orientation and furnishes novel theoretical insights and practical implications regarding DORI’s role in improving ESG_per.

This article examines the impact of the Green Financial Regulatory Policy on corporate strategic ESG behavior against the backdrop of the 2017 policy integration of “green finance” into the Macro-Prudential Assessment by the central bank. The research identifies that GFRP may shift corporate focus towards the disclosure of ESG performance while neglecting the actual practices of ESG engagement, potentially inducing firms to engage in ESG greenwashing. It is further posited that corporate green perception and executives’ environmental backgrounds serve as primary mechanisms in this dynamic. Additionally, the policy efficacy of GFRP on strategic ESG behavior exhibits heterogeneity

Developing an early warning model for company financial crises holds critical significance in robust risk management and ensuring the enduring stability of the capital market. Although the existing research has achieved rich results, the disadvantages of insufficient text information mining and poor model performance still exist. To alleviate the problem of insufficient text information mining, we collect related financial and annual report data from 820 listed companies in mainland China from 2018 to 2023 by using sophisticated web crawlers and advanced text sentiment analysis technologies and using missing value interpolation, standardization, and data balancing to build multi-source datasets of companies. Ranking the feature importance of multi-source data promotes understanding the formation of financial crises for companies. In the meantime, a novel Attention-based Fuzzy Neural Network (AFNN) was proposed to parse multi-source data to forecast financial crises among listed companies. Experimental results indicate that AFNN exhibits significantly improved performance compared to other advanced methods.

The e-CNY, with its information transparency and financial inclusion, activates an innovative solution to cure the financing obstacles among the small and medium enterprises in China. The research establishes a game model between enterprises and commercial banks embedded in information asymmetry, and incorporates the e-CNY payment choice within the framework to analyse the cure effect of e-CNY on enterprise financing obstacles. With equilibrium results calculated, it simulates the outcomes of changing parameters on the behaviours of enterprises and banks. The findings involve that, based on the incremental utility of e-CNY and subsidies attached, e-CNY is preferred in transaction, reducing the bad debt risk caused by misalignment when both achieving excess returns. The People’s Bank of China must strengthen a more transparent publicity of e-CNY and structure an inclusive system of financial regulation to well use digital currency and realise high-quality socio-economic development.

This research employs the Alkire-Foster approach to measure multidimensional poverty between 2012 and 2020 in China, followed by examining the role of the three-pillar pension system in mitigating household multidimensional poverty. With the China Family Panel Studies data, our measurement uncovers the sustainable effects and mechanisms of household participation in the multi-pillar pension system on poverty mitigation. The results indicate that more participation in the pension system mitigates the probability of being trapped in multidimensional poverty. The findings reveal the significance of state social insurance, enterprise annuity, and individual commercial insurance. The mitigation effect of market-oriented pillars is achieved through more investment in and consumption for livelihood assets. Based upon the sustainable livelihoods framework, livelihood assets ameliorate household capabilities in human, natural, financial, and psychological capital against risks, shocks, and uncertainties. Our research contributes to the knowledge of how household participation in pension pillars sustainably mitigates multidimensional poverty through micro-level mechanisms and to the policy praxis of why a facilitating state is called for poverty mitigation from the perspective of new structural economics.

The general financial theory predicts a carbon premium, as brown stocks bear greater uncertainty under climate transition. However, a contrary green premium has been identified in China, as evidenced by the return spread between green and brown sectors. The aggregated climate transition sentiment, measured from news data using a large language model, explains 12%-33% of the variability in the anomalous alpha. This factor intensifies after China announced its national commitments. The sentiment-driven green premium is attributed to speculative trading by retail investors targeting green “concept stocks.” Additionally, the discussion highlights the advantages of large language models over lexicon-based sentiment analysis.

Recently, the Chinese Government has strengthened the enforcement of bankruptcy laws to protect creditors’ rights. This study shed light on the effect of creditor protection on asset-debt maturity mismatch by employing a quasi-natural experiment in China. The results show that creditor protection mitigates maturity mismatch, and the effect is more pronounced among financially constrained firms. Results remain robust after the dynamic effects test, placebo test, propensity score matching approach, entropy balancing method, and controlling for COVID-19 shocks. Mechanism tests show that creditor protection decreases the cost of debt and reduces over-investment. The effect of creditor protection is pronounced in private companies, financially independent companies, and companies with secured loans. Creditor rights can alleviate maturity mismatch in firms with medium ownership concentration and managerial ownership levels. Economic consequences studies suggest that creditor protection reduces corporate default risk. This study reveals the mechanism and effect of creditor protection on asset-debt maturity mismatch in emerging markets, providing recommendations to policymakers for assessing and improving bankruptcy law regimes.

We examine the impact of bankruptcy court establishment (BCE) on corporate acquisition activities using hand-collected data of city-level BCE in China from 2008 to 2020. The results show that BCE promotes corporate acquisition activities largely due to mitigated information asymmetry and decreased deal inefficiency. Our results highlight the important role of judiciary reform in corporate acquisition decisions in emerging markets.