The entropy method measures the development level of green finance in 30 provinces and cities in China, and the spatial analysis method is used to describe the difference. Spatial pattern of the development level of green finance in China and empirically analyze the influencing factors of the development level of green finance. The results of the spatial econometric model show that the absolute difference in the development level of China’s green finance shows an overall increasing trend, and the relative difference shows a downward trend year by year. The level of financial development and environmental governance promote the development of green finance, while the level of economic growth and energy consumption inhibit the development of green finance. On this basis, we put forward countermeasures and suggestions from strengthening government functions and adjusting industrial structure according to economic growth, so as to promote the development of green finance in China.

Purpose: This study aims to investigate the impact of Internet use on household financial market participation and portfolio choice. Design/methodology/approach: Based on the Chinese General Social Survey 2017 (CGSS2017), this study empirically explores whether Internet use affects household financial market participation in China with an Endogenous Switching Probit model. Findings: The results show that households using the Internet are more likely to invest in financial markets. Further research shows that households with high Internet use are significantly more likely to participate in financial markets than households with low Internet use. From the perspective of household portfolio choice, Internet use has a certain role in increasing the probability of portfolio diversification. However, among households that have invested in financial markets, those with a high-frequency use of the Internet do not show an impact on portfolio diversification. Originality/value: This study complements existing research about the impact of Internet use or not on household financial market decisions and portfolio choice, expands the knowledge on the household financial market choice from the respective of the degree of Internet use.

Objectives: The aim of this study was to explore the mechanism between public services and residents’ health, focusing on the role of spatial geographical factors.Methods: Leveraging a comprehensive panel dataset encompassing 30 mainland Chinese provinces from 2007 to 2019, this study engineered a spatial Durbin model furnished with dual fixed effects through the application of the Lagrange multiplier, Hausman, and likelihood ratio tests. The primary objective was to delve into the repercussions of varying public service levels on residents’ health outcomes.Results: The empirical findings reveal a palpable spatial autocorrelation between residents’ health outcomes and the public services levels dispensed across Chinese provinces. Intriguingly, an elevation in the public service level in a given province not only ameliorates its residents’ health outcomes but also triggers a spatial spillover effect, thereby positively influencing residents’ health in neighboring provinces. The rigorous endogeneity and robustness checks affirm the reliability of the principal outcomes.Conclusion: Due to the increase in social uncertainty, all regions should break free of the administrative monopoly, enhance regional integration and development, and improve residents’ health status by clustering public service supply.