城市生活垃圾碳排放效率空间关联网络及影响因素

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Abstract This paper adopted the undesired output SBM model to measure and evaluate the municipal solid waste carbon emission efficiency in 30 provinces of China from 2005 to 2020. With the help of the social network analysis method (SNA) and the quadratic assignment procedure (QAP), the structural characteristics and influencing factors of the spatial correlation network of municipal solid waste carbon emission efficiency in China were discussed. The results showed that:Except Beijing, Inner Mongolia, Shanghai, Jiangsu and Fujian, the average of municipal solid waste carbon emission efficiency in other provinces was less than 1, and the provinces with higher efficiency were mainly located in eastern region. The tightness of the spatial correlation network of municipal solid waste carbon emission efficiency in China had improved in fluctuation, but there was still room for improvement. The network structure showed good accessibility and stability. The eastern provinces were in the relative center of the spatial network, and played a strong leading role in the spatial network, while the central and western provinces were at the edge, and played an intermediary and transmission role. The spatial correlation network of municipal solid waste carbon emission efficiency was divided into net spillover, net benefit, and broker segments. There were few internal connections among each segment, and close connections between segments,with strong spatial spillover effects. Spatial adjacency difference,economic development level difference, scientific and technological level difference, and municipal solid waste treatment structure difference had a significant impact on the formation of municipal solid waste carbon emission efficiency correlation network in China.

Key words： municipal solid waste carbon emission efficiency spatial correlation network influencing factor social network analysis

Received: 23 April 2023

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X321

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	GAO Yu-xin
	GAO Ming

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GAO Yu-xin,GAO Ming. Spatial correlation network and influencing factors of municipal solid waste carbon emission efficiency[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(11): 5900-5912.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I11/5900

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