Remotely too equal: Popular DMSP night-time lights data understate spatial inequality

被引：2
|
作者：
Zhang, Xiaoxuan [1 ]
Gibson, John [1 ,3 ]
Deng, Xiangzheng [2 ]
机构：
[1] Univ Waikato, Dept Econ, Hamilton, New Zealand
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[3] Univ Waikato, Dept Econ, Private Bag 3105, Hamilton 3240, New Zealand
来源：
REGIONAL SCIENCE POLICY AND PRACTICE | 2023年 / 15卷 / 09期
关键词：
DMSP; mean-reverting error; night lights; spatial inequality; VIIRS; CHINA;
D O I：
10.1111/rsp3.12716
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
Regional science and economics studies increasingly use the Defense Meteorological Satellite Program (DMSP) night-time lights data to measure spatial inequality. These DMSP data are a poor proxy in this context because of their spatially mean-reverting errors, which yield significantly lower inequality estimates than what subnational GDP data show. Inequality estimates from DMSP are also lower than what newer, research-focused and more accurate satellites show. We demonstrate this bias using county-level data from China and the United States. The errors in the DMSP data distort estimates of both the level of and trend in spatial inequality.
引用
收藏
页码：2106 / 2125
页数：21
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