Understanding the Evidence Base for Poverty–Environment Relationships using Remotely Sensed Satellite Data: An Example from Assam, India

Gary R. Watmough, Peter M. Atkinson, Arupjyoti Saikia and Craig W. Hutton

World Development, 2016, vol. 78, issue C, 188-203

Abstract: This article presents results from an investigation of the relationships between welfare and geographic metrics from over 14,000 villages in Assam, India. Geographic metrics accounted for 61% of the variation in the lowest welfare quintile and 57% in the highest welfare quintile. Travel time to market towns, percentage of a village covered with woodland, and percentage of a village covered with winter crop were significantly related to welfare. These results support findings in the literature across a range of different developing countries. Model accuracy is unprecedented considering that the majority of geographic metrics were derived from remotely sensed data.

Keywords: livelihoods; poverty; environment; remote sensing; India (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:wdevel:v:78:y:2016:i:c:p:188-203

DOI: 10.1016/j.worlddev.2015.10.031

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