塑造低碳未来:揭示人口老龄化对中国碳排放的时空影响
Zhuoqun Li1, Haohao Li2, Xueqiang Ji1
1School of Public Administration and Policy, Renmin University of China, Beijing, China.
PloS one
|January 9, 2025
概括
中国人口老龄化对碳排放产生了复杂的空间和时间影响,减少了当地排放,同时增加了邻近地区的排放. 政策必须考虑这些影响和区域差异,以协调低碳和老龄化社会的发展.
科学领域:
- 环境科学 环境科学
- 人口统计学 人口统计学
- 经济学 经济学 经济学
背景情况:
- 中国人口老龄化对可持续发展和气候目标构成挑战.
- 了解人口老龄化和碳排放之间的相互作用对于有效的低碳战略至关重要.
研究的目的:
- 研究人口老龄化对中国碳排放的时空影响.
- 确定这些影响的调解途径和区域差异.
- 提供综合低碳和老龄化社会政策的证据.
主要方法:
- 对中国30个省份 (2004-2022) 的数据分析.
- 空间德宾模型和调解效应模型应用.
- 分析通过消费,监管和城市化产生的直接,空间溢出和间接影响.
主要成果:
- 人口老龄化对碳排放产生了显著的空间和时间影响.
- 老龄化减少了当地碳排放,但增加了邻近地区的碳排放 (空间溢出效应).
- 影响随着时间的推移而变化,并通过消费,环境监管和城市化进行调解.
结论:
- 意识到衰老对政策碳排放的复杂,空间依赖的影响.
- 强调区域间合作,以管理空间溢出效应.
- 制定差异化,特定阶段的政策,促进低碳和老龄化社会的协同发展.
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