[中国城市污染减缓和碳减排协同效应的时空空间进化模式和影响因素]
Xiao-Jun Yang1, Hong-Chang Xue1
1School of Economics, Zhongnan University of Economics and Law, Wuhan 430073, China.
Huan jing ke xue= Huanjing kexue
|February 9, 2026
概括
协调治理增强了中国城市减少污染和减少碳排放 (SEPCR) 的协同效应. 工业结构和能源效率等因素促进SEPCR,而人口和经济增长可以抑制它,显示出显著的空间变化.
科学领域:
- 环境科学与政策
- 城市研究 城市研究
- 可持续发展 可持续发展 可持续发展
背景情况:
- 环境污染和碳排放共享共同的化石燃料来源,需要协调的减少战略.
- 减少污染和减少碳排放 (SEPCR) 的协同效应对于绿色社会经济转型至关重要.
- 有限的研究存在于城市级的SEPCR评估和其影响因素的空间时间异质性在中国.
研究的目的:
- 从2004年到2022年全面测量中国城市的SEPCR.
- 分析SEPCR的时空演变模式.
- 调查影响SEPCR的因素的时空异质性.
主要方法:
- 具有意想不到输出的SBM-DEA模型和用于SEPCR测量的合协调模型.
- 空间马尔科夫链和数据可视化用于空间时间模式分析.
- 地理和时间加权回归 (GTWR),内核密度和地图可视化用于因子异质性分析.
主要成果:
- 总体而言,SEPCR呈现上升趋势,在最初的波动之后,在2014年后出现了快速增长.
- SEPCR表现出高稳定性和逐步演变,邻近城市的SEPCR影响转移概率.
- 观察到的空间差异化:东北 > 东部 > 西部 > 中部地区,东部和东北地区的高价值集群.
- 工业结构,能源效率和技术创新对SEPCR产生了积极影响;人口,经济发展和能源结构具有抑制作用,所有这些都表现出时空异质性.
结论:
- 协调治理在加强SEPCR方面是有效的,有助于中国的绿色转型.
- 了解影响因素的时空异质性对于有针对性的政策干预至关重要.
- 未来的战略应利用积极因素,减轻负面因素,考虑优化SEPCR的区域特点.
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