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基于资源的城市碳排放的决定因素及其空间异质性,中国

Chenchen Guo^1,2,3, Jianhui Yu^4,5,6

¹Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.

Scientific reports

|March 12, 2024

概括

基于资源的城市对碳排放做出了重大贡献,但在气候政策中却被忽视. 这项研究显示,它们的排放量正在上升,具体因素影响了这一趋势及其空间分布.

科学领域:

环境科学环境科学
气候变化研究气候变化研究
城市可持续性城市可持续性

背景情况:

全球气候变化是一个紧迫的问题,以资源为基础的城市贡献了大约三分之一的国家碳排放.
这些城市在实现碳中和方面发挥着至关重要的作用,但在气候变化缓解政策中经常被忽视.
了解这些城市地区碳排放的驱动因素和空间模式对于有效的政策制定至关重要.

研究的目的:

调查中国113个以资源为基础的城市碳排放的决定因素.
分析这些城市内碳排放的空间模式和影响因素.
通过强调以资源为基础的城市地区的特殊作用,为气候变化缓解战略提供信息.

主要方法:

使用探索性空间数据分析 (ESDA) 来理解空间模式.
利用地理加权回归 (GWR) 来识别和分析碳排放的决定因素.
研究了2003年至2017年间中国113个以资源为基础的城市的数据.

主要成果:

来自以资源为基础的城市的碳排放量从2003年至2017年间略有增加,尚未达到峰值.
观察到一个一致的空间模式,即东北部的高排放和西南部的低排放,具有显著的空间自相关性.
人口规模,经济发展,碳减排技术和基于资源的行业的比例被确定为增加排放的关键驱动因素.

结论:

碳减排技术成为影响资源城市碳排放的主要因素.
各种影响因素对碳排放的影响在这些城市的不同地理位置上有很大差异.
调查结果强调需要针对性气候政策,以解决以资源为基础的城市的独特特征和排放模式.

关键词:

碳排放碳排放碳排放驱动因素驱动因素地理加权回归模型.基于资源的城市城市.空间异质性空间异质性

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