中国绿色低碳发展的水平测度与空间关联效应研究——基于社会网络分析法

基于绿色低碳发展的理论内涵，从绿色效益、低碳效益和经济效益三个维度构建绿色低碳发展评价指标体系，利用熵值法测度绿色低碳发展指数，并运用Dagum基尼系数和社会网络分析法考察中国绿色低碳发展的时序演变特征与空间关联关系。研究表明，2011-2021年中国绿色低碳发展水平在低位保持稳步上升态势，且东部地区绿色低碳发展水平高于全国平均水平，更远超中西部地区；其Dagum基尼系数呈现先下降后平稳的趋势，表明中国绿色低碳发展水平的区域差异逐渐减小并趋于协调；中国省际绿色低碳发展的空间关联关系较强，且具有稳定性，但仍有提升的空间。

Research on the Level Measurement and Spatial Correlation Effects of Green and Low Carbon Development in China：Based on Social Network Analysis

Based on the theoretical connotation of green and low-carbon development, a green and low-carbon development evaluation index system from the three dimensions of green benefits, low-carbon benefits and economic benefits, was constructed to measure the green and low-carbon development index using the entropy value method, and examine the temporal evolution characteristics and spatial correlation relationship of China''s green and low-carbon development using the Dagum Gini coefficient and the social network analysis method. The result shows that from 2011 to 2021, China''s green and low-carbon development level has been steadily rising at a low level, and the green and low-carbon development level in the eastern region is higher than the national average, and far exceeds that in the central and western regions. Dagum Gini coefficient has shown a decreasing and then stable trend, indicating that the regional differences in the level of China''s green and low-carbon development have been gradually reduced and tend to be harmonized. The spatial correlation of China''s inter-provincial green and low-carbon development is strong, and has a stable and stable relationship with the social network. China''s inter-provincial green low-carbon development has a strong and stable correlation relationship, but there is still room for improvement.