碳排放绩效的空间关联网络结构及其形成机制——以长江经济带为例

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Abstract This study had taken cities in the Yangtze River Economic Belt from 2006 to 2019 as the research object. It quantitatively analyzed the spatial correlation strength of carbon emission performance in the region by introducing a modified gravity model. Furthermore, it explored the structural characteristics and formation mechanism of the spatial correlation network using social network analysis model. Research shows that: (1) The overall carbon emissions performance of cities in the Yangtze River Delta Economic Belt was showing an upward trend, with obvious Matthew and radiation effects. The overall spatial correlation strength is not high, and there is a trend of weakening. The connectivity and robustness of the spatial network structure are strong, and the redundant paths of the network are gradually decreasing, but do not have the characteristics of strict hierarchy. (2) From the characteristics of different river basins, the urban clusters in the middle and lower reaches of the Yangtze River are in a relatively central position in the spatial network, playing a leading role in the carbon emission performance spatial network of cities in the Yangtze River Economic Belt, while the urban clusters in the upstream region are in a relatively disadvantaged position, playing a central and transmission role. (3) From the perspective of spatial correlation module, the carbon emission performance spatial correlation module of cities in the Yangtze River Economic Belt can be divided into "net spillover", "net benefit", and "bidirectional spillover" modules. Within the module, there is a clear clustering and spatial correlation effect between cities, and there is also a clear synergy and spatial spillover effect between each module. (4) From the perspective of impact mechanisms, spatial adjacency relationships, climate change differences, transportation infrastructure differences, population size differences, and energy structure differences play an important role in the formation and evolution of the spatial correlation network structure of carbon emissions performance in cities along the Yangtze River Economic Belt.

Key words： urban carbon emissions efficiency spatial correlation network social network analysis quadratic assignment procedure

Received: 04 October 2023

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	LIN Ming-yu
	CUI Xing-hua

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LIN Ming-yu,CUI Xing-hua. The spatial correlation network structure and formation mechanism of carbon emission performance: A case study of the Yangtze River Economic Belt[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(5): 2867-2878.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I5/2867

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