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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摘要采用非期望产出的超效率SBM模型，对2005~2020年中国30个省份的城市生活垃圾碳排放效率进行测度和评价的基础上，借助社会网络分析法（SNA）以及二次指派程序方法（QAP），探讨了中国城市生活垃圾碳排放效率空间关联网络的结构特征以及影响因素.研究表明：除北京、内蒙古、上海、江苏、福建外，其余省份的垃圾处理碳排放效率均值均小于1，效率较高的省份主要位于东部地区.中国城市生活垃圾碳排放效率空间关联网络的紧密程度在波动中提高，但仍有提升空间，网络结构呈现较好的可达性和稳定性.东部省份处于空间网络相对中心的位置，在城市生活垃圾碳排放效率空间网络中具有较强的主导作用，而中部、西部省份处于边缘位置，发挥着中介和传导作用.城市生活垃圾碳排放效率空间关联网络可划分为净溢出、净受益、经纪人板块，各板块内部联系较少，板块间联系紧密，并存在较强的空间溢出效应.空间邻接差异、经济发展水平差异、科技水平差异、城市生活垃圾处理结构差异对中国城市生活垃圾碳排放效率关联网络的形成具有显著影响.

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关键词 ：城市生活垃圾碳排放效率, 空间关联网络, 影响因素, 社会网络分析

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

收稿日期: 2023-04-23

PACS:

X321

基金资助:国家社会科学基金资助项目（22BGL181）

通讯作者: 高明,教授,gaoming65@163.com E-mail: gaoming65@163.com

作者简介: 高煜昕(1995-),男,四川成都人,福州大学博士研究生,主要从事环境与资源管理研究.发表论文1篇.gyx2021gyx@163.com.

引用本文:

高煜昕, 高明. 城市生活垃圾碳排放效率空间关联网络及影响因素[J]. 中国环境科学, 2023, 43(11): 5900-5912. GAO Yu-xin, GAO Ming. Spatial correlation network and influencing factors of municipal solid waste carbon emission efficiency. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(11): 5900-5912.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I11/5900

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