The Spatiotemporal Evolutionary Trend and Driving Factors of the Coupling Coordinated Development between Regional Green Finance and Ecological Environment

Coupling coordination between electricity and economy: China as an example

The benign coupling coordination between electricity (EL) and economy (EC) contributes to a better environment and sustainability. This study explores whether EL and EC can coordinate theoretically, how to evaluate their coordination, what the statuses are, and how to enhance coupling coordination levels (CCL). Specifically, we select the data from 2011 to 2020 of the 31 provincial regions of China, use information entropy weight and the technique for order preference by similarity to an ideal solution method, establish the theoretical coupling coordination mechanism and the evaluation index system to measure CCL temporally-spatially and propose policy implications based on prediction tendencies. We find that most regions' CCLs fluctuate temporally with mild upward trends, indicating the much more benign coupling coordination status; the spatial distributions are uneven with narrowing gaps. However, future CCL gaps may increase; therefore, differentiated policy implications are needed, such as encouraging balanced-coordination policies, innovating for higher-quality coordination, and cooperating for intelligence and wealth transfer. This study is conducive to theoretically describing the coupling coordination mechanism between EL and EC, providing new insights for CCL evaluation and the coordination practice for different regions.

Influence of Green Finance on Ecological Environment Quality in Yangtze River Delta

Along with the development of society and the deepening contradiction between economic growth and natural resources, green finance has attracted more and more attention. As an area of great strategic significance in China's modernization, the development of green finance can improve the quality of its ecological environment and find new economic growth points for it. Based on the index system of pressure state response and while considering the scientific nature and desirability of the indicators, this paper selects 12 indicators to construct an index system of eco-environmental quality. It uses the entropy method to calculate the level of eco-environmental quality. Then, three control variables are selected, and the difference-in-difference model is used for empirical analysis. It is found that green finance positively affects the ecological environment quality of the Yangtze River Delta. In addition, the level of opening to the outside world and the level of economic development also have a positive effect on the quality of the ecological environment to a certain extent. Still, the impact of industrial structure on it is negative. Therefore, this paper puts forward some suggestions for strengthening the disclosure of green financial information, paying attention to the concept of green development and strengthening regional cooperation and exchange to promote the development of green finance further and promote the coordination of economic development and ecological protection in the Yangtze River Delta.