人口老龄化与其影响因素的多尺度空间异质性:中国西-甘地区的案例研究
Fei Long1, Qing Luo1, Zirui Li1
1School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan, China.
Frontiers in public health
|April 11, 2025
概括
在中国,人口老龄化正在加速,空间差异很大. 了解人口,社会经济,医疗保健和环境因素对于制定有效的本地化老龄化政策至关重要.
科学领域:
- 人口统计学 人口统计学
- 人口研究 人口研究
- 地理空间分析是什么
背景情况:
- 人口老龄化是中国的一个关键问题,原因是预期寿命增加和低出生率.
- 山西-甘地区是中国西北地区人口老龄化所面临的挑战的典范.
研究的目的:
- 调查和可视化山西-甘地区人口老龄化的多尺度空间异质性.
- 分析人口,社会经济,医疗保健和环境因素对人口老龄化的影响.
- 为当地老龄化政策和老年人友好的社会提供见解.
主要方法:
- 利用县级人口普查数据和夜间照明数据.
- 应用空间自相关分析和多尺度地理加权回归.
- 检查了2010年和2020年的空间模式和影响因素.
主要成果:
- 观察到人口逐渐老龄化,在整个地区具有显著的空间异质性.
- 2010年,人口因素产生了全球影响,经济因素产生了当地影响,环境因素产生了区域影响.
- 到2020年,医疗保健因素显示出全球影响,其他因素对空间影响的转变.
结论:
- 西-甘地区呈现着加速衰老的现象,具有明显的时空异质性.
- 衰老因素的影响在2010年至2020年之间在规模和规模上有所不同.
- 局部化政策必须考虑特定的区域特点,以有效应对老龄化挑战.
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