Green finance plays a critical role in promoting regional green innovation. However, the precise influence of green finance on diverse facets of green innovation remains underexplored. This study empirically analyses the diverse effects of green finance on heterogeneous green innovation by applying the negative binomial model, the threshold model, andthe spatial error model using China’s regional data from 2010 to 2019. The results indicate that green finance has a positive impact on regional green innovation performance, primarily through significant contributions to fossil energy carbon reduction, energy conservation and recovery, and clean energy technology innovation. The effect of green finance is also influenced by the level of local environmental supervision, exhibiting a significant threshold effect. In addition, the development of green innovation in the region can have a siphoning effect on the resources of surrounding areas, hindering their innovation development. These findings highlight the necessity for strategic government policy-making, which should leverage the diverse impacts of green finance on various forms of green innovation. Customizing green financial instruments to suit regional environmental regulatory conditions and the green innovation levels of neighboring regions could significantly aid in promoting regional green transformation and growth.

The association between higher vocational education and rural revitalization is an essential economic and social issue, especially in a country with a large population and a developing education system like China. This study uses panel data from 30 provinces in China from 2007 to 2020 to explore the association between higher vocational education and rural revitalization. The empirical results show that, at the national level, both the scale and the quality of higher vocational education significantly promote rural revitalization; the effects of higher vocational education on rural revitalization vary by region: in the eastern and central regions, the scale of higher vocational education significantly promotes rural revitalization, while in the western regions, the quality of higher vocational education significantly promotes rural revitalization; the scale of higher vocational education has a positive spatial spillover effect on rural revitalization, while the quality of higher vocational education only has a significant positive effect on the local level of rural revitalization. Furthermore, the effects of higher vocational education on rural revitalization exhibit a threshold effect based on the economic development level and the urban-rural income gap. This study reveals relationships between higher vocational education and rural revitalization, providing references for policymakers and investors.

The Beijing–Tianjin–Hebei urban agglomeration (BTH) is striving to realize the transformation process from a low-efficiency to a high-quality development mode; however, it still has problems regarding reducing energy consumption and ecological environment pressure. Based on panel data from 2013 to 2017, this paper proposes an evaluation index system based on BTH’s “environmental protection–industrial structure–urbanization” system. In the course of applying the coupling degree model (CDM) and the coupling coordination degree model (CCDM) with exploratory spatial data analysis (ESDA) methods, this paper discusses the spatiotemporal process, development level, and spatial agglomeration characteristics of the environmental protection–industrial structure–urbanization system in each city of the BTH area. The findings reveal that the coupling degree of the BTH system is gradually increasing, and that the development level of the BTH subsystem is unbalanced: the coupling coordination level of BTH shows a positive evolution process; however, it is in a stage of low-level collaborative development, and there are obvious differences in the level of BTH coupling coordination in space, revealing the convergence of low–high and high–low types. This paper concludes by putting forward the strategy of optimizing the regional spatial pattern of urban agglomeration and implementing integrated development in order to achieve the desired coupling and coordination effects.