空间网络分析和城市碳排放绩效的驱动力:广东省的见解
Xuewei Zhang1, Jiabei Zhou2, Rong Wu3
1School of Economics and Management, Inner Mongolia University, Hohhot 010020, China.
The Science of the total environment
|August 16, 2024
概括
中国的城市必须了解碳排放性能网络,以减少排放. 中心城市提高了当地表现,但可以通过空间溢出效应对邻居产生负面影响.
科学领域:
- 环境科学 环境科学
- 城市研究 城市研究
- 经济学 经济学 经济学
背景情况:
- 城市是主要的碳排放者,这使得城市碳排放性能对于中国的低碳目标至关重要.
- 现有的研究往往忽略了城市之间关于碳排放的空间联系和相互影响.
研究的目的:
- 分析1997年至2019年广东城市碳排放绩效的网络结构.
- 测量网络因素对碳排放绩效的空间影响.
主要方法:
- 超高效的松式模型 (SBM)
- 社交网络分析 (SNA)
- 空间达尔宾模型 (SDM)
主要成果:
- 碳排放性能网络通常是松散的,局部集群,显示整体连接的变化有限.
- 深,广州和珠海具有高度的中心性,作为关键枢纽,而其他地区的中心性较低,表明网络两极分化.
- 诸如中心性,经济发展和开放性等因素可以提高当地业绩,但也会导致排放排放和对邻近地区的负面溢出影响.
结论:
- 了解碳排放性能的空间网络对于有效的城市减排战略至关重要.
- 政策应考虑空间溢出效应和网络动态,以促进跨地区的协同减排努力.
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