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, Craig W. Hutton

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)188-203
JournalWorld Development
Volume78
DOIs
Publication statusPublished - 1 Feb 2016
Externally publishedYes

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