摘要
Abstract
Based on the panel data of 15 new first-tier cities from 2006 to 2021,the super-efficiency SBM model is used to calculate their carbon emission efficiency,the modified gravity model is used to construct the spatial association network and the social network analysis method is used to analyze its structure,and the QAP regression model is used to study the influencing factors of the new first-tier urban spatial association network.The results show that the annual average value of carbon emission efficiency of 15 new first-tier cities is rising steadily,and the carbon emission efficiency of new first-tier cities shows a stable network correlation,and the characteristics of overall network structure and individual network structure all show a fluctuating up-ward trend.Nanjing,Wuhan,Zhengzhou,Hefei,Suzhou,Hangzhou and other cities play a leading role in the correlation network of carbon emission efficiency in new first-tier cities.The degree of opening to the outside world,the level of scientific and techno-logical investment,resource endowment structure,energy use efficiency,population distribution characteristics,industrial structure upgrading,spatial distance relationship have an important impact on the spatial correlation of carbon emission efficiency in new first-tier cities.关键词
碳排放效率/新一线城市/超效率SBM模型/社会网络分析法/QAP回归Key words
carbon emission efficiency/new first-tier cities/super-efficiency SBM model/social network analysis/QAP regres-sion分类
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