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Understanding the evidence base for poverty-environment relationships using remotely sensed satellite data: An example from Assam, India

Understanding the evidence base for poverty-environment relationships using remotely sensed satellite data: An example from Assam, India
Understanding the evidence base for poverty-environment relationships using remotely sensed satellite data: An example from Assam, India

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.

Environment, India, Livelihoods, Poverty, Remote sensing
0305-750X
188-203
Watmough, Gary R.
6ed84a4f-0106-4665-b810-4fa71baefb8c
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Saikia, Arupjyoti
dd99e2d6-e334-499a-ac4f-68baa9758b0a
Hutton, Craig W.
9102617b-caf7-4538-9414-c29e72f5fe2e
Watmough, Gary R.
6ed84a4f-0106-4665-b810-4fa71baefb8c
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Saikia, Arupjyoti
dd99e2d6-e334-499a-ac4f-68baa9758b0a
Hutton, Craig W.
9102617b-caf7-4538-9414-c29e72f5fe2e

Watmough, Gary R., Atkinson, Peter M., Saikia, Arupjyoti and Hutton, Craig W. (2016) Understanding the evidence base for poverty-environment relationships using remotely sensed satellite data: An example from Assam, India. World Development, 78, 188-203. (doi:10.1016/j.worlddev.2015.10.031).

Record type: Article

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.

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More information

Accepted/In Press date: 3 October 2015
e-pub ahead of print date: 28 October 2015
Published date: 1 February 2016
Keywords: Environment, India, Livelihoods, Poverty, Remote sensing

Identifiers

Local EPrints ID: 413626
URI: https://eprints.soton.ac.uk/id/eprint/413626
ISSN: 0305-750X
PURE UUID: 5c7b7921-35ad-476d-950a-5c7bb94816bb
ORCID for Peter M. Atkinson: ORCID iD orcid.org/0000-0002-5489-6880
ORCID for Craig W. Hutton: ORCID iD orcid.org/0000-0002-5896-756X

Catalogue record

Date deposited: 30 Aug 2017 16:31
Last modified: 10 Dec 2019 01:55

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Contributors

Author: Gary R. Watmough
Author: Peter M. Atkinson ORCID iD
Author: Arupjyoti Saikia
Author: Craig W. Hutton ORCID iD

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