Journal
WORLD DEVELOPMENT
Volume 66, Issue -, Pages 322-334Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.worlddev.2014.08.017
Keywords
remote sensing; economic growth; land cover; MODIS; gross domestic product; gross regional product
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Funding
- Grants-in-Aid for Scientific Research [26101506] Funding Source: KAKEN
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This study demonstrates estimations of economic activities on global, national, and subnational levels using remote sensing data, with a focus on developing economies. It extends a recent statistical framework which uses nighttime lights to estimate official income growth by accounting for agriculture and forestry which emit less or no additional observable nighttime light. The study argues that nighttime lights alone may not explain value-added by agriculture and forestry. By adding land cover data, our framework can be used to estimate economic growth in administrative areas of virtually any size. (C) 2014 Elsevier Ltd. All rights reserved.
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