夜间照明可以作为地方行政单位规模的经济不平等的代理吗? 来自西班牙的证据
Xaquín S Pérez-Sindín1,2, Piotr Wójcik1, Tzu-Hsin Karen Chen3,4
1Faculty of Economic Sciences, University of Warsaw, Warsaw, Poland.
PloS one
|December 10, 2025
概括
夜间照明 (NTL) 数据可以有效地代表市级的经济不平等. 这项在西班牙的研究表明,NTL指标捕捉了地方差异,特别是在农村地区,为社会经济监测提供了一个可扩展的工具.
科学领域:
- 遥感与地理空间分析
- 社会经济研究 社会经济研究
- 空间经济学 空间经济学
背景情况:
- 监测地方经济不平等至关重要,但数据有限.
- 夜间照明 (NTL) 数据为经济活动提供了潜在的代理.
- 西班牙的地理多样性和可用的市政数据提供了一个合适的案例研究.
研究的目的:
- 评估NTL数据对估计市级经济不平等的有用性.
- 将NTL衍生的不平等指标与西班牙官方基于收入的吉尼系数进行比较.
- 评估基于NTL的不平等监测的可扩展性和可复制性.
主要方法:
- 结合VIIRS和协调NTL卫星数据与WorldPop人口数据.
- 在像素级别计算的人均灯光.
- 使用像素级数据估计的市政吉尼系数,并通过回归和面板模型与官方税务管理数据进行比较.
主要成果:
- 在NTL衍生和收入衍生吉尼系数之间发现了显著的关联,特别是在较小的定居点和农村地区.
- 面板模型展示了NTL数据捕捉时间不平等变化的能力.
- NTL指标发现了官方收入统计不完全捕捉到的差异,这可能表明非正式经济活动.
结论:
- NTL数据是一个有希望的,可扩展的,低成本的工具,用于监测地方经济不平等.
- 这种方法既适用于数据丰富的地区,也适用于数据贫困的地区.
- 未来的研究应该纳入额外的空间数据,以加强基于NTL的不平等评估.
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