中国绿色金融效率的地区差距及其分布动态演进

Regional Difference of China’s Green Finance Efficiency and Its Distribution Dynamic Evolution

文章基于规模报酬可变的DEA-SBM模型,测算出2008—2019年我国30个省份的绿色金融效率,在此基础上,采用Dagum基尼系数对绿色金融发展效率的区域差异进行分析,并通过Kernel密度估计法进一步分析其动态演进特征。结果显示:观测期内中国绿色金融效率经历了下降后回调并保持相对稳定的趋势,但是存在明显的区域差异,东部地区的绿色金融效率始终保持领先水平;由基尼系数分解结果可知,中国绿色金融效率总体差距呈现缩小趋势,且区域间差距是导致总体差距的主要原因;Kernel密度估计结果表明,中国绿色金融效率在不断提高的同时,其分布具有一定的梯度效应,且东部地区和中部地区都在不同程度上存在多级分化的问题。

Based on the DEA-SBM model with variable returns to scale,this paper calculates the efficiency of green finance in 30 provinces of China from 2008 to 2019.On this basis,the Dagum Gini coefficient is used to analyze the regional differences in the development efficiency of green finance,and Kernel density estimation method is used to further analyze the dynamic evolution characteristics.The results go as following:During the observation period,China’s green finance efficiency experienced a decline and then a correction and maintained a relatively stable trend,but there were obvious regional differences,and the green finance efficiency in the eastern region always maintained a leading level.According to the decomposition results of the Gini coefficient,the overall gap in China’s green finance efficiency shows a narrowing trend,and the gap between regions is the main reason for the overall gap.The results of Kernel density estimation show that while China’s green finance efficiency is improving,its distribution has a certain gradient effect,and both the eastern and central regions have problems of multi-level differentiation to varying degrees.