Digital technology provided a new driver for the rapid recovery of the global economy in the post-COVID-19 era. This study examined how digital financing affected regional economic resilience. First, this study constructs a multidimensional regional economic resilience evaluation system and measures the economic resilience levels of 283 Chinese cities for 2012-2021–using the entropy value method. Then, panel data, mediation effect, and threshold effect models were constructed to empirically test the impact mechanism of digital finance (DF) on regional economic resilience. The results show that DF improves regional economic resilience, which is more evident in central and western cities. Capital allocation efficiency, regional innovation, and regional consumption are effective paths, whereas DF affects regional economic resilience by enhancing capital allocation efficiency, strengthening regional innovation capacity, and promoting resident consumption. It is worth noting that excessive financialization can mask the role of DF. These conclusions provide new evidence clarifying the role of DF in promoting rapid economic recovery in the post-COVID-19 era.

The development of market integration has an important effect on regional green total factor productivity (GTFP). Based on the panel data of 30 provinces in China from 2008 to 2017, this paper studies the spatial effect and transmission mechanism of market integration on regional green total factor productivity by calculating the Malmquist–Luenburger index and using spatial econometric models. It was found that market integration can promote the improvement of regional green total factor productivity. This positive effect is not only directly reflected in the region, it also indirectly promotes the growth of GTFP in nearby regions. In addition, market integration has shown significant positive effects on efficiency improvement and technological progress, and market integration has affected regional green total factor productivity through them. The above conclusions are of great significance for China to develop a green economy and promote high-quality economic transformation.

Land finance is an important means for local governments to develop a regional economy. Studying the impact of land finance on green economic growth has important practical significance for achieving high-quality economic growth in China. This article uses panel data from 283 prefecture-level cities in China to construct a spatial econometric model to study the impact of land finance on green economic growth. The research results show that land finance has a significant inhibitory effect on the growth of the green economy. The direct, indirect and total effects of land finance on green economic growth are all significantly negative, which indicates that the local government’s method of making up for the financial funding gap through land finance not only inhibited the green economic growth in the region, but also had an impact on neighboring areas. Local government competition has a regulating effect on the impact of land finance and urban green economic growth, and government competition has actually strengthened the inhibitory effect of land finance on green economic growth. The above conclusions can provide useful practical guidance for optimizing the development of land finance, standardizing local government behavior, and promoting green economic growth.

Green development is an important path to achieving economic, environmental, and social sustainability. Based on the comprehensive evaluation system of economy, environment, and society, this study used the entropy method, Theil index decomposition method, and spatial β-convergence model to study the differences and spatial convergence of China’s green development from 2010 to 2020. The research conclusions are as follows: First, China’s green development has an upward trend, and the eastern region is higher. Second, the regional differences in green development have the characteristic of rising first and then falling, and the differences within regions are the main source of imbalances in China’s green development. Third, China’s green development has obvious characteristics of spatial absolute β-convergence and spatial conditional β-convergence. Green innovation is conducive to narrowing the gaps in the convergence speed of regional green development. The research results comprehensively explain the characteristics of China’s green development and provide realistic evidence for China’s green development in the future.

Narrowing the gap in regional innovation efficiency is conducive to the coordinated development of regional economies. Fiscal science and technology (S&T) expenditure is the government’s primary means of supporting regional innovation. It also plays an essential role in improving the efficiency of regional innovation. This study constructs a spatial convergence economic model based on a dynamic perspective. It also examines the relationship between fiscal S&T expenditure and spatial convergence of regional innovation efficiency. China’s regional innovation efficiency shows a trend of conditional β-convergence. Fiscal S&T expenditure positively affects the spatial convergence of regional innovation efficiency and has an inverted U-shaped, nonlinear relationship as a whole. The transmission mechanism test revealed that the cross-regional flow of research and development (R&D) personnel can enhance this positive effect, and the role of R&D capital is not significant.