首页|Structural Characteristics and Influencing Factors of Carbon Emission Spatial Association Network:A Case Study of Yangtze River Delta City Cluster,China
Structural Characteristics and Influencing Factors of Carbon Emission Spatial Association Network:A Case Study of Yangtze River Delta City Cluster,China
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City cluster is an effective platform for encouraging regionally coordinated development.Coordinated reduction of carbon emissions within city cluster via the spatial association network between cities can help coordinate the regional carbon emission man-agement,realize sustainable development,and assist China in achieving the carbon peaking and carbon neutrality goals.This paper ap-plies the improved gravity model and social network analysis(SNA)to the study of spatial correlation of carbon emissions in city clusters and analyzes the structural characteristics of the spatial correlation network of carbon emissions in the Yangtze River Delta(YRD)city cluster in China and its influencing factors.The results demonstrate that:1)the spatial association of carbon emissions in the YRD city cluster exhibits a typical and complex multi-threaded network structure.The network association number and density show an upward trend,indicating closer spatial association between cities,but their values remain generally low.Meanwhile,the network hier-archy and network efficiency show a downward trend but remain high.2)The spatial association network of carbon emissions in the YRD city cluster shows an obvious'core-edge'distribution pattern.The network is centered around Shanghai,Suzhou and Wuxi,all of which play the role of'bridges',while cities such as Zhoushan,Ma'anshan,Tongling and other cities characterized by the remote loca-tion,single transportation mode or lower economic level are positioned at the edge of the network.3)Geographic proximity,varying levels of economic development,different industrial structures,degrees of urbanization,levels of technological innovation,energy in-tensities and environmental regulation are important influencing factors on the spatial association of within the YRD city cluster.Fi-nally,policy implications are provided from four aspects:government macro-control and market mechanism guidance,structural charac-teristics of the'core-edge'network,reconfiguration and optimization of the spatial layout of the YRD city cluster,and the application of advanced technologies.
carbon emissionspatial association networksocial network analysis(SNA)quadratic assignment procedure(QAP)modelYangtze River Delta city cluster,China
BI Xi、SUN Renjin、HU Dongou、SHI Hongling、ZHANG Han
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School of Economics and Management,China University of Petroleum(Beijing),Beijing 102249,China
China Petroleum Plan-ning & Engineering Institute,Beijing 100083,China
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