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在中国进行空间时空动态和碳排放脱效应的多层次探索

Chong Liu¹, Xiaoman Wang², Haiyang Li³

¹School of Public Policy & Management, Anhui Jianzhu University, Hefei, 230022, China.

Scientific reports

|May 13, 2025

概括

中国中国中国中国.

科学领域:

环境科学环境科学
空间分析空间分析
气候政策气候政策

背景情况:

中国的双重碳目标需要针对特定地区的减排政策.
之前关于碳排放 (CE) 的研究缺乏多层面分析,阻碍了定制的政策制定.
了解跨行政层面的CE动态对于有效的气候战略至关重要.

研究的目的:

研究中国各省,县和县行政规模的碳排放 (CE) 的时空动态和脱效应.
在不同的尺度上分析CE的变化和空间自相关性.
在多个行政层面评估CE与经济增长之间的脱趋势.

主要方法:

结合能源消耗数据与夜间照明数据进行CE估计.
利用空间自相关性,变化系数 (VC) 和脱模型.
从2000年到2020年,分析了三个行政规模 (省,县级城市,县) 的数据.

主要成果:

碳排放 (CE) 变化系数在县级最高,在省级最低.
欧洲经济区表现出积极的空间自相关性,在县级表现最强.
欧洲经济与经济增长之间的脱指数在所有规模上普遍下降,这表明脱有所改善.
省级脱从扩张性的负面转变为强大的脱;县级和县级的脱增加了强大的脱.

结论:

碳排放 (CE) 在中国表现出规模依赖的特征.
为实现国家气候目标,将减排政策调整为地方行政规模至关重要.
该研究强调了多尺度分析对于有效的环境政策设计和实施的重要性.

关键词:

碳排放碳排放碳排放中国中国中国中国.脱效应的脱效应是什么多层次的多层次的时空动态空间的动态.

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