Development Research at High Geographic Resolution: An Analysis of Night-Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform

被引:72
作者
Asher, Sam [1 ,2 ]
Lunt, Tobias [2 ]
Matsuura, Ryu [3 ]
Novosad, Paul [4 ,5 ]
机构
[1] Johns Hopkins SAIS, Int Econ, Washington, DC 20036 USA
[2] Dev Data Lab, Washington, DC 20036 USA
[3] Northwestern Univ, Econ, Evanston, IL 60208 USA
[4] Dartmouth Coll, Hanover, NH 03755 USA
[5] Dev Data Lab, Hanover, NH 03755 USA
关键词
open data; big data; administrative data; nighttime lights; poverty; India; ALLEVIATION; REDUCTION; ROADS;
D O I
10.1093/wber/lhab003
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The SHRUG is an open data platform describing multidimensional socioeconomic development across 600,000 villages and towns in India. This paper presents three illustrative analyses only possible with high-resolution data. First, it confirms that nighttime lights are highly significant proxies for population, employment, per capita consumption, and electrification at very local levels. However, elasticities between night-lights and these variables are far lower in time series than in cross section, and vary widely across context and level of aggregation. Next, this study shows that the distribution of manufacturing employment across villages follows a power law: the majority of rural Indians have considerably less access to manufacturing employment than is suggested by aggregate data. Third, a poverty mapping exercise explores local heterogeneity in living standards and estimates the potential targeting improvement from allocating programs at the village-rather than at the district-level. The SHRUG can serve as a model for open high-resolution data in developing countries.
引用
收藏
页码:845 / 871
页数:27
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