摘要详情
154 / 2024-03-06 15:37:55
Research on the spatiotemporal evolution characteristics and driving factors of the spatial connection network of carbon emissions in China：new evidence from 260 cities
Carbon emissions; Spatial connection network; Social network analysis; Evolution characteristics; Driving factors
全文录用
Abstract: China is currently facing enormous pressure to reduce emissions, and in order to realize synergistic emission reduction between regions, the spatial connection effect of carbon emissions must be considered comprehensively. Based on the data of 260 cities from 2001 to 2021, the social network analysis (SNA) method is utilized to explore the evolution characteristics and driving factors of the spatial connection network of carbon emissions (SCNCE) in China from the temporal and spatial dimensions. The research results show that: (1) The network has a complex spatial structure, with a progressively tighter overall structure, a weaker hierarchical structure, and a gradual stabilization of network connections. (2) The network is characterized by an obvious "core-edge" structure, with some cities at the core of the network, acting as important controllers or bridges in the network. (3) Cities in the network can be categorized into four regional blocks, with a distinct geographic distribution, and the size of inflow blocks are increasing. (4) The adjacent space, similar urbanization levels, and the widening gap in economic development, industrial structure, and technological innovation dynamics is the key to driving the formation of carbon emissions connections. The results of this paper provide references for developing more equitable, efficient, and targeted regional synergistic emission reduction strategies.
重要日期
-
会议日期
05月29日
2024
至06月01日
2024
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05月08日 2024
初稿截稿日期
主办单位
中国矿业大学
历届会议
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2022年05月26日 中国 徐州市
第九届能源、资源、环境与可持续发展国际会议 -
2019年05月31日 中国 Xuzhou
能源、资源、环境与可持续发展国际会议
