统计与数据科学学院知识库

    随着经济社会的快速发展，我国所面临的生态环境问题也日益严重。落实环境保护政策，注重发展绿色金融，合理运用金融、财政及税收政策等措施来有效应对环境问题，促进经济绿色发展是当前的迫切需要。因此，论文选取全国30个省、市、自治区的面板数据，对其绿色金融发展水平展开了测量和研究，进一步的对绿色金融改革创新试验区政策效应展开评估。

    首先，论文对国内外有关绿色金融、绿色金融政策效应的相关文献进行梳理，并将所涉及到的理论、方法及政策背景进行简单介绍，为进一步深入研究做好铺垫。其次，论文对我国绿色金融发展水平进行测度与分析。从绿色投资、绿色证券、绿色信贷、绿色保险和碳金融五个方面进行指标选取，建立科学、合理的指标体系，再利用熵权-Topsis法测算出我国绿色金融发展水平并求得全国各省市的排名顺序，定量剖析当前我国绿色金融发展水平特征以及区域发展的差异性，然后进一步的应用核密度分析法、传统的马尔科夫法以及空间马尔科夫法对我国绿色金融发展水平存在的差异性进行分析。再次，论文构建检验政策效应的双重差分模型，对绿色金融改革试验区的政策整体实施效果进行分析。最后，立足于我国绿色金融改革创新试验区的成功经验，提出提升我国绿色金融发展水平的可行性建议。

    研究结果表明：在总体上，我国的区域绿色金融发展呈不断升高的态势，区域绿色金融发展具有东部较高，中部较平，西部较低的特点，其相对等级存在着一定的稳定性，有两极固化的现象，并且绿色金融改革创新试验区的创立促进了我国绿色金融发展水平的增长。针对研究结果，建议我国要重视绿色金融工具，创新发展绿色金融，因地施策制定发展路径，全面提升我国绿色金融发展水平。

  With the rapid development of the economy and society, China is facing increasingly severe ecological and environmental problems. It is an urgent need to implement environmental protection policies, attach importance to the development of green finance, and effectively address environmental issues through reasonable use of financial, fiscal, and tax policies, among other measures, in order to promote green economic development. Therefore, this paper selects panel data from 30 provinces, cities, and autonomous regions in China to measure and study their level of development in green finance and further evaluate the policy effects of the green finance reform and innovation pilot zones.

  Firstly, this paper reviews relevant literature on green finance and the policy effects of green finance both domestically and internationally, and provides a brief introduction to the theories, methods, and policy background involved in order to lay the groundwork for further in-depth research. Secondly, the paper measures and analyzes the level of development of green finance in China. Five indicators are selected from the aspects of green investment, green securities, green credit, green insurance, and carbon finance, and a scientific and reasonable indicator system is established. The entropy weight-Topsis method is used to calculate the level of development of green finance in China and determine the ranking order of provinces and cities throughout the country. This provides a quantitative analysis of the current characteristics of green finance development in China and regional development differences. Then, the paper uses kernel density analysis, traditional Markov analysis, and spatial Markov analysis to further analyze the differences in the level of development of green finance in China. Next, the paper constructs a double-difference model to examine the overall policy implementation effects of the green finance reform pilot zones. Finally, based on the successful experience of China's green finance reform and innovation pilot zones, the paper proposes feasible suggestions to improve the level of development of green finance in China.

  The research results indicate that, overall, the regional development of green finance in China is showing an upward trend. The development of green finance in different regions has the characteristics of being higher in the eastern region, relatively flat in the central region, and lower in the western region. There is a certain stability in the relative ranking, with a phenomenon of polarization. Additionally, the establishment of green finance reform and innovation pilot zones has promoted the growth of China's level of development in green finance. Based on these research findings, it is recommended that China should attach importance to green finance tools, innovate and develop green finance, formulate development paths tailored to local conditions, and comprehensively improve the level of development of green finance in China.