Competition and Cooperation in Regional Carbon Emissions:Analysis of Network Characteristics and Influencing Factors
Researching on the spatial correlation network structure of carbon emissions in ur-ban agglomerations is helpful to break through the traditional regional governance model and transcend administrative regional management restrictions,so as to realize inter-regional cooper-ation and jointly promote the reduction of carbon emissions.Therefore,this paper selects three major urban agglomerations in China from 2011-2021,which are Beijing-Tianjin-Hebei re-gion,Yangtze River Delta and Pearl River Delta,and uses an improved gravity model to calcu-late the spatial correlation network of carbon emissions of each urban agglomeration.Social net-work analysis method and QAP method are used to study the spatial correlation network structure characteristics,driving factors and long-term prediction analysis of carbon emissions in urban agglomerations.The results show that:(1)The cities with high carbon emission intensity and high network density between Beijing-Tianjin-Hebei urban agglomeration and Yangtze River Del-ta urban agglomeration mainly exist in the core cities,and the relationship intensity between the cities is greatly different.The intensity of carbon emission relationship and network density in Pearl River Delta urban agglomeration are relatively uniform.(2)In Beijing-Tianjin-Hebei and Yangtze River Delta urban agglomerations,Beijing,Tianjin,Tangshan,Hangzhou,Suzhou and Wuxi play the role of core bridges in the network,while in Pearl River Delta urban agglomera-tion,there is no obvious central city.(3)Geographical factors,economic factors,urbanization level,population density,industrial structure,energy intensity and other factors have an impact on carbon emission network,but in different urban agglomerations,the effects of these factors are different.And the system dynamics model is constructed to predict the influence degree of each factor on carbon emission under different scenarios.At the end,some suggestions are giv-en,such as the development of effective cross-regional carbon emission reduction cooperation mechanism,the development of a unified emission reduction target and the construction of a uni-fied market mechanism.The study of urban agglomeration spatial correlation network and its in-fluencing factors is of great significance for deepening regional cooperation,formulating carbon emission policies and achieving carbon emission reduction targets.
万方数据
维普
