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

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 ni...

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Main Authors: Asher, Sam, Lunt, Tobias, Matsuura, Ryu, Novosad, Paul
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
Online Access:http://documents.worldbank.org/curated/en/596871612888394869/Development-Research-at-High-Geographic-Resolution-An-Analysis-of-Night-Lights-Firms-and-Poverty-in-India-Using-the-SHRUG-Open-Data-Platform
http://hdl.handle.net/10986/35132
id okr-10986-35132
recordtype oai_dc
spelling okr-10986-351322022-09-20T00:09:53Z Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform Asher, Sam Lunt, Tobias Matsuura, Ryu Novosad, Paul NIGHTTIME LIGHT INTENSITY POVERTY ELECTRIFICATION EMPLOYMENT MANUFACTURING RURAL POVERTY LIVING STANDARDS 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. 2021-02-11T17:53:31Z 2021-02-11T17:53:31Z 2021-02 Working Paper http://documents.worldbank.org/curated/en/596871612888394869/Development-Research-at-High-Geographic-Resolution-An-Analysis-of-Night-Lights-Firms-and-Poverty-in-India-Using-the-SHRUG-Open-Data-Platform http://hdl.handle.net/10986/35132 English Policy Research Working Paper;No. 9540 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper South Asia India
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic NIGHTTIME LIGHT INTENSITY
POVERTY
ELECTRIFICATION
EMPLOYMENT
MANUFACTURING
RURAL POVERTY
LIVING STANDARDS
spellingShingle NIGHTTIME LIGHT INTENSITY
POVERTY
ELECTRIFICATION
EMPLOYMENT
MANUFACTURING
RURAL POVERTY
LIVING STANDARDS
Asher, Sam
Lunt, Tobias
Matsuura, Ryu
Novosad, Paul
Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform
geographic_facet South Asia
India
relation Policy Research Working Paper;No. 9540
description 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.
format Working Paper
author Asher, Sam
Lunt, Tobias
Matsuura, Ryu
Novosad, Paul
author_facet Asher, Sam
Lunt, Tobias
Matsuura, Ryu
Novosad, Paul
author_sort Asher, Sam
title Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform
title_short Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform
title_full Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform
title_fullStr Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform
title_full_unstemmed Development Research at High Geographic Resolution : An Analysis of Night Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform
title_sort development research at high geographic resolution : an analysis of night lights, firms, and poverty in india using the shrug open data platform
publisher World Bank, Washington, DC
publishDate 2021
url http://documents.worldbank.org/curated/en/596871612888394869/Development-Research-at-High-Geographic-Resolution-An-Analysis-of-Night-Lights-Firms-and-Poverty-in-India-Using-the-SHRUG-Open-Data-Platform
http://hdl.handle.net/10986/35132
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