阐明发展:利用新的夜灯数据来衡量经济进步
Prachi Jhamb1, Susana Ferreira1, Patrick Stephens2
1Department of Applied Economics, University of Georgia, Athens, Georgia, United States of America.
PloS one
|February 3, 2025
概括
统一的夜光数据 (NTL) 有效地预测经济活动和财富,即使在农村地区. 这一新数据集结合了VIIRS和DMSP,以提高撒哈拉以南非洲的准确性.
科学领域:
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
- 发展经济学 发展经济学
背景情况:
- 夜灯 (NTL) 是经济活动的关键代理,但历史数据 (DMSP) 的准确性有局限性.
- 较新的卫星数据 (VIIRS) 提供了改进,但面临着时间和空间整合的挑战.
- 一个新的协调NTL数据集 (VIIRS + DMSP) 提供了一个一致的长期数据库.
研究的目的:
- 评估NTL统一数据对撒哈拉以南非洲社会经济指标的预测能力.
- 通过调查和行政记录 (GDP,HDI) 的家庭财富数据来评估NTL的准确性.
- 分析NTL与34个国家 (2004-2019) 下国家级经济活动的关联.
主要方法:
- 使用了一种新的协调夜光数据集 (VIIRS + DMSP).
- 分析了协调的NTL和地方经济指标 (财富指数,人均GDP,HDI) 之间的关联.
- 在统计模型中控制人口密度.
主要成果:
- 协调的NTL数据强烈预测财富指数,即使在控制人口密度后.
- 在城市地区,NTL与财富之间的关联是显著的,在农村环境中,这种关系不那么明显.
- NTL数据显著解释了次国家人均GDP和人类发展指数的变化.
结论:
- 协调的NTL数据集提供了一个可靠和一致的经济活动在地方级别的衡量.
- 对于理解撒哈拉以南非洲地区的社会经济差异和发展趋势,NTL数据是有价值的工具.
- 未来的研究可以利用这种统一的数据集来进行更准确的经济活动评估.
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