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Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth

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  • Keola, Souknilanh
  • Andersson, Magnus
  • Hall, Ola
Abstract
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.

Suggested Citation

  • Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
    • Handle: RePEc:eee:wdevel:v:66:y:2015:i:c:p:322-334
    DOI: 10.1016/j.worlddev.2014.08.017
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    References listed on IDEAS

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    1. Martin Ravallion & Shaohua Chen, 1999. "When Economic Reform is Faster Then Statistical Reform: Measuring and Explaining Income Inequality in Rural China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(1), pages 33-56, February.
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    3. Johnson, Simon & Larson, William & Papageorgiou, Chris & Subramanian, Arvind, 2013. "Is newer better? Penn World Table Revisions and their impact on growth estimates," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 255-274.
    4. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    5. Gallup, John L. & Sachs, Jeffrey D. & Mellinger, Andrew, "undated". "Geography and Economic Development," Instructional Stata datasets for econometrics geodata, Boston College Department of Economics.
    6. Sutton, Paul C. & Costanza, Robert, 2002. "Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation," Ecological Economics, Elsevier, vol. 41(3), pages 509-527, June.
    7. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
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