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

Author

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

Subjects
*POVERTY, *REMOTE sensing, *WELL-being, *VILLAGES, *SOCIAL history, *CITIES & towns & the environment, ENVIRONMENTAL aspects
Abstract

Summary 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. [ABSTRACT FROM AUTHOR]

Published
2016
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