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- W1878224059 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." @default.
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- W1878224059 date "2016-02-01" @default.
- W1878224059 modified "2023-10-11" @default.
- W1878224059 title "Understanding the Evidence Base for Poverty–Environment Relationships using Remotely Sensed Satellite Data: An Example from Assam, India" @default.
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- W1878224059 doi "https://doi.org/10.1016/j.worlddev.2015.10.031" @default.
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