There are large regional disparities in relation to the development of digital finance in China. This study expands on the human–land relationship to analyze the impact of terrain relief on digital finance adoption using China Household Finance Survey data. The results show an inverted U-shaped relationship. Further, mechanism analysis indicates that terrain relief influences the wealth creation environment and stimulates the likelihood of entrepreneurship, especially through small and medium-sized enterprises. In addition, the impact is more pronounced in rural and western areas. These findings provide insights enabling the development of a more inclusive financial system.

Using the formal implementation of the 2012 Green Credit Guidelines (GCG) as an exogenous shock to construct a quasi-natural experiment, we study the impact of green credit policies on the inefficient investment of heavily polluting firms in China's listed companies from 2008 to 2020. We find that green credit policies can significantly alleviate the inefficient investment of heavily polluting enterprises. By reducing agency costs and long-term liabilities, green credit policies mitigate the problem of inefficient investment in heavily polluting firms. Moreover, the mitigating effect of green credit policies on the inefficient investment of heavily polluting enterprises has significant heterogeneity in terms of property rights, internal characteristics.

This study examines a sample of Chinese listed companies from 2009 to 2021 and finds that Environmental, Social, and Governance (ESG) performance significantly reduces bankruptcy risk. Robustness tests support the bankruptcy risk mitigation effect of ESG performance. Mechanism analysis shows that ESG performance reduces bankruptcy risk by decreasing systematic risk and alleviating financing constraints. Further analysis indicates that the performance of the three dimensions of ESG, namely Environment (E), Social (S), and Governance (G), contributes to the reduction of bankruptcy risk.

This study provides the first empirical evidence on the relationship between the chairman of the board of directors (COB) and corporate financial performance. Using a sample of Chinese A listed firms between 2008-2017, we find reliable evidence that the COB turnover improves corporate financial performance. Moreover, the existence of a majority shareholder (Majority) positively influences corporate financial performance, while firm nature (private majority shareholder or public majority shareholder)(Private) may not.

In this study, we empirically analyze the impact of the effects of digital inclusive finance (DIF) on high-quality economic development in Chinese prefecture-level cities. We find the following conclusions: first, the total index and sub-index of DIF can promote high-quality economic development. Second, DIF significantly promotes high-quality economic development by narrowing the urban-rural income gap and alleviating financing constraints. Third, DIF is conducive to the improvement of economic quality in neighboring regions.

Corporate philanthropy is increasingly seen as an effective way to promote social equity. This paper estimates the effect of donation tax deduction policy on corporate donations. Using data from Chinese A-share listed companies, we find that the donation tax deduction policy has a significant positive effect on the amount donated. This finding remains robust to a number of robustness tests. Meanwhile, our study also suggests that the policy increases donation participation. Finally, heterogeneity analysis suggests that the effect is significant only for firms with high media attention and political connections. Our findings provide important evidence for the optimizing of social welfare.

The asymmetric dissemination of information among financial firms in the financial market reflects their asymmetric response to the dissemination of both positive and negative information. However, it is worth studying whether this asymmetry will intensify or alleviate under different financial market conditions. Based on high-frequency minute stock price data of Chinese A-share listed financial firms from July 2020 to July 2023, we decompose the good and bad information, as well as the positive and negative volatility information in the return series. We utilize the quantile cross-spectral correlation method to construct an information overflow network at monthly intervals. We use the MVMQ-CAViaR model to estimate the value at risk (VaR) for various quantiles and build a risk spillover network that incorporates both positive and negative tail risk information, using the quantile dynamic SIM-COVAR-TENET model. We calculated the network dissemination efficiency of both good and bad information, including average speed, speed deviation, densest speed, and depth, to explore the changes in the asymmetry of good and bad information dissemination under different financial market conditions. We get that when the financial market is booming, financial firms’ asymmetric response to good and bad information will increase, and the firms will pay more attention to bad information. When the financial market declines, the asymmetric response of financial firms to good and bad information is diminished, and their sensitivity to both positive and negative information is heightened. In addition, the dissemination of bad information by firms in the five sub-financial industries across various markets exacerbates the asymmetric response of other financial firms to good and bad information. More importantly, the release of positive return information, negative volatility information, and highly negative tail risk information by the real estate financial firms all impact the asymmetric response of financial firms to good and bad information in a prosperous financial market. In recessionary financial markets, financial regulators can strategically release positive information to mitigate the decline in the financial market. Conversely, in a booming financial market, financial regulators should be cautious of the negative impact that bad information can have on financial firms, particularly in relation to the excessive growth of the real estate sector and the potential chain reaction of significant adverse events.

Emotions are fundamental elements driving humans’ decision-making and information processing. Fear is one of the most common emotions influencing investors’ behaviors in the stock market. Although many studies have been conducted to explore the impacts of fear on investors’ investment performance and trading behaviors, little is known about factors contributing to and alleviating investors’ fear during the market crash (or extremely volatile periods) and their fear regulation after the crisis. Thus, the current data descriptor provides details of a dataset of 1526 Chinese and Vietnamese investors, a potential resource for researchers to fill in the gap. The dataset was designed and structured based on the information-processing perspective of the Mindsponge Theory and existing evidence in life sciences. The Bayesian Mindsponge Framework (BMF) analytics validated the data. Insights generated from the dataset are expected to help researchers expand the existing literature on behavioral finance and the psychology of fear, improve the investment effectiveness among investors, and inform policymakers on strategies to mitigate the negative impacts of market crashes on the stock market.

This paper investigates the varying impact of government subsidies on corporate investment efficiency using micro-level data from Chinese listed firms. Through meticulous compilation of information on government subsidies revealed in financial statements, and the implementation of an innovative categorization methodology based on the nature and timing of funds (ex-ante versus ex-post), we shed light on the divergent effects of these subsidies. Our findings are as follows: (1) Government subsidies enhance corporate investment efficiency, yet their effects exhibit asymmetry by alleviating underinvestment while exacerbating overinvestment. (2) Functional subsidies exert a stronger influence on investment efficiency compared to selective subsidies. Specifically, functional subsidies prove more effective in addressing underinvestment, but also possess a higher likelihood of exacerbating overinvestment. (3) State ownership, firm size and dividend payments lead to heterogeneity in the effects of subsidies. (4) Corporate financial constraints serve as one of the mechanisms through which subsidies affect investment efficiency. This suggests that firms with easier access to financing may not effectively utilize subsidies, while those facing severe financial constraints are less prone to misusing them.

This study explores how foreign competition impacts the capital structure of domestic firms. While import competition is associated with a decrease in domestic firms’ leverage, we propose a novel perspective concerning the positive effect of inward foreign direct investment (FDI) on leverage. FDI competition can boost demand for debt via productivity spillover to domestic firms, and also increase supply of debt by inducing lenders to herd toward foreign investors. Using Chinese firm-level data, we find that the positive effects of industry inward FDI on domestic firms’ leverage are more pronounced in high-tech industries and industries where foreign investors exhibit a high degree of herding behavior. Our instrument variable approach, employing industry exchange rates and import tariffs, supports these findings. Additionally, we reveal that the positive effect of FDI on local firms’ leverage is amplified when the firms have stronger absorptive capacities, receive foreign capital, and experience more human capital transfers from foreign rivals.