Structural Characteristics and Influencing Factors of Carbon Emission Spatial Association Network: A Case Study of Yangtze River Delta City Cluster, China

IF 3.4 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES Chinese Geographical Science Pub Date : 2024-05-18 DOI:10.1007/s11769-024-1435-8
Xi Bi, Renjin Sun, Dongou Hu, Hongling Shi, Han Zhang
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Abstract

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 management, realize sustainable development, and assist China in achieving the carbon peaking and carbon neutrality goals. This paper applies 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 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 hierarchy 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 location, 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 intensities and environmental regulation are important influencing factors on the spatial association of within the YRD city cluster. Finally, policy implications are provided from four aspects: government macro-control and market mechanism guidance, structural characteristics of the ‘core-edge’ network, reconfiguration and optimization of the spatial layout of the YRD city cluster, and the application of advanced technologies.

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碳排放空间关联网络的结构特征与影响因素:中国长三角城市群案例研究
城市群是促进区域协调发展的有效平台。通过城市间的空间关联网络协调减少城市群内的碳排放,有助于协调区域碳排放管理,实现可持续发展,助力中国实现碳封顶和碳中和目标。本文将改进引力模型和社会网络分析(SNA)应用于城市群碳排放空间关联研究,分析了中国长三角城市群碳排放空间关联网络的结构特征及其影响因素。结果表明1)长三角城市群碳排放空间关联呈现出典型而复杂的多线程网络结构。网络关联数和关联密度呈上升趋势,表明城市间的空间关联更加紧密,但其值总体上仍然较低。同时,网络层次和网络效率呈下降趋势,但仍保持较高水平。2)长三角城市群碳排放空间关联网络呈现明显的 "核心-边缘 "分布格局。该网络以上海、苏州、无锡为中心,发挥着 "桥梁 "作用,而舟山、马鞍山、铜陵等地处偏远、交通方式单一或经济水平较低的城市则处于网络边缘。3)地理位置的邻近性、经济发展水平的差异、产业结构的不同、城市化程度、技术创新水平、能源强度和环境规制是长三角城市群内部空间关联的重要影响因素。最后,从政府宏观调控与市场机制引导、"核心-边缘 "网络结构特征、长三角城市群空间布局重构与优化、先进技术应用四个方面提出了政策启示。
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来源期刊
Chinese Geographical Science
Chinese Geographical Science 环境科学-环境科学
CiteScore
6.10
自引率
5.90%
发文量
63
审稿时长
3.0 months
期刊介绍: Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China. Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.
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