新一线城市碳排放效率的空间关联网络结构及影响因素分析

Analysis of Spatial Association Networks and Influencing Factors of Carbon Emission Efficiency in New First-tier Cities

基于15个新一线城市2006—2021年的面板数据,采用超效率SBM模型计算其碳排放效率,通过修改的引力模型构建空间关联网络并使用社会网络分析法分析其结构,运用QAP回归模型研究新一线城市空间关联网络的影响因素。结果表明,15个新一线城市碳排放效率的年平均值处于平稳上升的势态;新一线城市碳排放效率表现出稳定的的网络关联关系,其整体网络结构、个体网络结构特征均呈波动上升趋势;南京、武汉、郑州、合肥、苏州、杭州等城市在新一线城市碳排放效率关联网络中处于主导地位;对外开放程度、科技投入水平、资源禀赋结构、能源利用效率、人口分布特征、产业结构升级和空间距离关系对新一线城市碳排放效率的空间关联具有重要影响。

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 upward 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 technological 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.