%0 Journal Article
%T 绿色金融发展水平测度、动态演进及空间相关性分析<br>Measurement of the Development Level, Dynamic Evolution and Spatial Correlation Analysis of Green Finance
%A 孙柯欣
%A 党雅琦
%J Finance
%P 1493-1503
%@ 2161-0975
%D 2024
%I Hans Publishing
%R 10.12677/fin.2024.144154
%X 基于20122021年全国30个省份的面板数据，构建绿色金融发展评价体系并运用TOPSIS模型对全国绿色金融发展水平进行测度，进一步运用非参数核密度估计、空间结构分析其动态演进过程和空间相关性。研究结果表明：一是全国绿色金融总体上呈现出不断发展的趋势；二是全国绿色金融发展水平呈现出显著的地域差异，出现区域间发展不平衡的现象；三是高斯核密度图显示，全国绿色金融发展的动态演进过程中，增速在放缓，区间差距加大，极化效应明显；四是空间相关性分析得出全国30省绿色金融发展呈现显著的正相关性，说明该地区绿色金融的发展受到周边地区发展的影响。基于以上结论提出了相关政策建议。<br />
Based on the panel data of 30 provinces in China from 2012 to 2021, this paper constructs an evaluation system for green finance development, uses the TOPSIS model to measure the development level of green finance in China, and further analyzes its dynamic evolution process and spatial correlation by using nonparametric kernel density estimation and spatial structure. The results show that: First, the national green finance generally shows a trend of continuous development; second, there are significant regional differences in the development level of green finance in China, and there is an imbalance in development between regions; third, the Gaussian kernel density map shows that in the dynamic evolution of the development of green finance in China, the growth rate is slowing down, the interval gap is increasing, and the polarization effect is obvious; fourth, the spatial correlation analysis shows a significant positive correlation between the development of green finance in 30 provinces across the country, indicating that the development of green finance in this region is affected by the development of surrounding areas. Based on the above conclusions, relevant policy suggestions are put forward.
%K 绿色金融，TOPSIS模型，非参数核密度估计，空间相关性<br>Green Finance
%K TOPSIS Model
%K Non-Parametric Kernel Density Estimation
%K Spatial Correlation
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=92346