With the continuous advancement of the technological revolution and industrial transformation, environmental governance supported by digital nance has become an important engine for achieving carbon neutrality. Based on panel data from 30 provinces in China, this study discusses the spatial spillover effect and transmission mechanism between digital nance and environmental pollution. Our research results con rm that the inhibitory effect of digital nance on local environmental pollution gradually increases with the improvement of digital nance. Interestingly, digital nance has a signi cant positive spatial spillover effect on environmental pollution in surrounding areas. The mediating effect shows that digital nance can alleviate environmental pollution by improving technological innovation, industrial upgrading, and industrial structure rationalization. A higher degree of marketization and governmental support can increase the positive in uences of digital nance on pollution reduction. This research proves the effectiveness of digital nance in improving environmental governance, and it encourages policy-makers around the world to rely on digital nance to promote ecological governance and achieve high-quality economic development.

The digital economy based on digital technology is an important force for high-quality economic growth and industrial transformation, and has great potential for value creation. Based on the data of 30 provinces in China from 2007 to 2017, this paper uses entropy method to calculate the industrial green transformation (IGT), and empirically analyzes the impact of Digital economy on IGT. The DE can significantly reduce IGT of local and neighboring areas after excluding the influence of macro system factors and replacing the spatial weight matrix. The DE can indirectly reduce the IGT by accelerating the accumulation of human capital, and green technology innovation. The impact of digital economy on IGT is a non-linear relationship. With the further improvement of environmental regulation, financial development and intellectual property protection, the role of digital economy in IGT is more obvious. To this end, it is necessary to speed up the construction and improvement of digital infrastructure, build an integrated layout of "digital infrastructure", give full play to the radiating role of the digital economy, and implement differentiated development paths based on regional comparative advantages.

With the development of information technology application in environmental governance, the role of Internet in improving energy efficiency and reducing energy-saving potential (ESP) has attracted more attention. The slack-based model (SBM)-unexpected model and entropy method are applied to measure China’s energy-saving potential and Internet development. Further, we empirically analyze the direct effect, mediating effect, threshold effect and regional heterogeneity of Internet on ESP. The conclusion reflects that there is a significant spatial correlation between Internet penetration and ESP. Internet penetration has become an important tool for reducing ESP, but this effect shows regional heterogeneity. Human capital accumulation, financial development and industrial upgrading are important influencing mechanisms, but indirect effects are weaker than direct effects. The impact of Internet penetration on ESP is non-linear. For improving human capital accumulation, financial development and industrial upgrading, the role of Internet popularization in energy conservation is more obvious.

Energy and environmental pollution have attracted wide attention, but few studies have been conducted on green total factor energy efficiency (GTFEE) from the perspective of government corruption and market segmentation. By using the panel data of 30 provinces in China for the period 2006 to 2017, this paper tests the relationship between government corruption, market segmentation, and GTFEE. Moreover, considering the threshold effect of government corruption and market segmentation on GTFEE, the system generalized method of moments and the dynamic threshold panel model are adopted to analyze the nonlinear relationship. The regression results indicate that government corruption significantly decreases GTFEE, and market segmentation also has a significant negative impact on GTFEE. Moreover, market segmentation exacerbates the negative impact of corruption on GTFEE. The more serious the government corruption, the more severe the inhibitory effect of market segmentation on GTFEE. Similarly, the higher degree of market segmentation can increase the restraining effect of corruption on GTFEE. The results are still valid after a series of robustness tests. This paper suggests that countries should adopt severe anti-corruption actions, speed up the process of regional integration, and provide a good institutional environment support for the improvement of GTFEE.