在中国,分布动态,空间差异以及协同作用的污染和碳减排趋同
Yanzhi Zhao1,2, Jiejie Wang2, Xiaojun Ma3
1School of Economics, Shenyang University, Shenyang, 110003, China.
Environmental science and pollution research international
|December 9, 2024
概括
中国的污染和碳减排努力显示出强大的协同效应,其中西部地区处于领先地位. 空间差异正在缩小,趋同趋势表明未来协同效应的稳定状态.
科学领域:
- 环境科学与政策
- 区域经济学 区域经济学
- 可持续发展 可持续发展 可持续发展
背景情况:
- 绿色发展需要理解碳和减少污染之间的协同作用.
- 量化协同作用关系对于有效的环境政策至关重要.
- 中国2011-2022年省级数据提供了一个独特的案例研究.
研究的目的:
- 通过合协调来衡量减少污染和减少碳的协同效应.
- 分析中国各地这种协同作用的空间和时间特征和差异.
- 为协同监管政策提供量化基础.
主要方法:
- 合协调度模型用于量化协同效应.
- 核心密度和达格姆系数用于时空分析和差异来源.
- 空间聚合的莫兰指数和空间面板模型的β-融合.
主要成果:
- 协同效应从良好的协调改善到更好的协调,西部地区的表现优于其他地区.
- 在协同作用中存在显著的空间差异,但由于超变密度的驱动,它们正在缩小.
- 在不同地区观察到空间聚集和显著的绝对/条件β-融合趋势.
结论:
- 中国的污染和碳减排协同作用显示出空间模式和趋同.
- 西部地区显示出优越的协同效应.
- 政策干预可以利用趋同趋势来加强整体协同监管.
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