中国的多维能源贫困:测量和空间时间差异的特点
Fu Wang1, Hong Geng1, Donglan Zha1,2
1College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 China.
Social indicators research
|June 26, 2023
概括
中国在减少能源贫困方面取得了进展,但它仍然是一个重大问题,特别是在西部和东北部农村地区. 空间分析揭示了明显的区域差异和能源贫困中心向西北转移.
科学领域:
- 能源政策 能源政策
- 贫困研究 贫困研究
- 空间分析 空间分析
背景情况:
- 中国减少能源贫困对全球努力和国内福利至关重要.
- 现有的指标可能不适合中国的背景;微观层面的时空差异未得到充分研究.
- 解决能源贫困是巩固消除贫困和改善社会福利的关键.
研究的目的:
- 为中国在家庭层面构建一个新的多维能源贫困指数.
- 分析中国能源贫困的时空动态和区域差异.
- 为制定有针对性的能源贫困减少政策提供信息.
主要方法:
- 开发了一种具有七个维度的新型多维能源贫困指数.
- 应用多重对应分析 (MCA) 用于指数构建.
- 用空间自相关分析和标准偏差圆来进行空间时间差异分析.
主要成果:
- 能源贫困从2012年至2018年有所改善,但发病率和强度仍然很高.
- 存在显著的区域差异,高水平集中在西部和东北部农村地区.
- 能源贫困表现为空间聚类;其中心从河南省转移到西北.
结论:
- 尽管取得了进展,但中国仍面临着巨大的能源贫困挑战.
- 需要有针对性的,特定于区域的政策,特别是针对西部和东北部农村地区.
- 了解时空模式对于有效的能源贫困缓解战略至关重要.
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