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.
green low-carbon developmentspatial correlation effectsocial network analysisentropy value method
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