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Spatial correlation network of municipal solid waste carbon emissions and its influencing factors in China
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2024-03-26 , DOI: 10.1016/j.eiar.2024.107490 Yuxin Gao , Ming Gao
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2024-03-26 , DOI: 10.1016/j.eiar.2024.107490 Yuxin Gao , Ming Gao
Clarifying the provincial spatial correlation network of municipal solid waste (MSW) carbon emissions and its influencing factors is significant for reducing MSW carbon emissions and for ensuring cross-regional coordinated emission reduction. This study used a modified gravity model and social network analysis to explore the structural characteristics of the spatial correlation network of MSW carbon emissions. The quadratic assignment procedure was then used to examine the influencing factors. The results are as follows: (1) From 2005 to 2020, the MSW carbon emissions spatial correlation network showed an intuitive and complex network structure. The tightness of the network increased with fluctuations but still needs improvement, while the network structure exhibited good accessibility and stability. (2) The spatial network exhibited a significant “core-edge” distribution, with Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, and Fujian being at the center of the spatial correlation network and playing leading roles. (3) The spatial correlation network of MSW carbon emissions was divided into four parts, with the four parts having few internal connections but with the relationships between them being close. (4) Geographical adjacency, economic development level, science and technology level, and MSW treatment structure significantly influenced spatial correlations, while the urbanization level and degree of government intervention had no significant influence on spatial correlations.
更新日期：2024-03-26
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