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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摘要以2006~2019年长江经济带城市为研究对象,通过引入修正引力模型量化分析长江经济带碳排放绩效的空间关联强度,并进一步运用社会网络分析方法探究空间关联网络的结构特征和形成机制.研究表明:(1)长三角经济带城市碳排放绩效整体呈现上升趋势,具有明显的马太和辐射效应,其空间关联强度整体不高、存在减弱的趋势,空间网络结构的连通性和稳健性较强、网络冗余路径逐渐减少但不具有等级森严特征.(2)从不同流域特征来看,长江中下游城市群处于空间网络的相对中心地位,在长江经济带城市碳排放绩效空间网络中扮演着领导者角色,而上游地区城市群处于相对劣势地位,发挥着中枢和传导作用.(3)从空间关联模块来看,长江经济带城市碳排放绩效空间关联模块可划分为“净溢出”、“净受益”和“双向溢出”模块,模块内部各城市之间具有明显的聚集和空间关联效应,各模块之间还存在明显的协同和空间溢出效应.(4)从影响机制来看,空间邻接关系、气候变化差异、交通基础差异、人口规模差异和能源结构差异在长江经济带城市碳排放绩效空间关联网络结构的形成与演化中发挥着重要作用.

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	林明裕
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关键词 ：城市碳排放绩效, 空间关联网络, 社会网络分析, 二次指派程序

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

收稿日期: 2023-10-04

PACS:

X24

基金资助:国家社会科学基金资助项目(22CTJ009);国家自然科学基金资助地区项目(72263013);江西省高校人文社会科学研究项目(JJ21221)

通讯作者: 林明裕,讲师,1202100030@jxufe.edu.cn E-mail: 1202100030@jxufe.edu.cn

作者简介: 林明裕(1992-),男,福建泉州人,讲师,博士,主要从事能源低碳转型研究.发表论文10余篇.1202100030@jxufe.edu.cn.

引用本文:

林明裕, 崔兴华. 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[J]. 中国环境科学, 2024, 44(5): 2867-2878. 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. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(5): 2867-2878.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I5/2867

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