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Afghanistan’s New Economic Landscape : Using Nighttime Lights to Understand the Civilian Economy after 2021

Author

Listed:
  • Ivo Teruggi
  • Oscar Eduardo Barriga Cabanillas
  • Walker Kosmidou-Bradley
  • Silvia Redaelli
  • Eigo Tateishi

Abstract

This study uses nighttime lights to examine the evolution of economic activity in Afghanistan after the August 2021 regime change. A year later, nighttime luminosity had dropped by 20 percent, with two-thirds of this decline tied to the pre-planned international military withdrawal. To focus on local economic activity, the study filters out light emissions from foreign military installations, which accounted for up to 30 percent of lights over the past decade. Using civilian nighttime lights to understand the new economic reality in the country indicates a significant economic recovery concentrated in previously conflict-affected regions. By 2023/24, civilian luminosity had surpassed pre-2020/21 levels by 10.5 percent while, in contrast, official gross domestic product indicates an economy that is one-quarter smaller. The findings highlight changes in economic dynamics, including increased informality, shifts in the geographic distribution of activity, and improved security post-Taliban takeover.

Suggested Citation

  • Ivo Teruggi & Oscar Eduardo Barriga Cabanillas & Walker Kosmidou-Bradley & Silvia Redaelli & Eigo Tateishi, 2024. "Afghanistan’s New Economic Landscape : Using Nighttime Lights to Understand the Civilian Economy after 2021," Policy Research Working Paper Series 10969, The World Bank.
  • Handle: RePEc:wbk:wbrwps:10969
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    References listed on IDEAS

    as
    1. Gibson, John & Olivia, Susan & Boe-Gibson, Geua & Li, Chao, 2021. "Which night lights data should we use in economics, and where?," Journal of Development Economics, Elsevier, vol. 149(C).
    2. John Gibson & Susan Olivia & Geua Boe‐Gibson, 2020. "Night Lights In Economics: Sources And Uses," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 955-980, December.
    3. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2021. "Prediction Intervals for Synthetic Control Methods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1865-1880, October.
    4. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
    5. Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
    6. Barriga Cabanillas,Oscar Eduardo & Chawla,Parth & Redaelli,Silvia & Yoshida,Nobuo, 2023. "Updating Poverty in Afghanistan Using the SWIFT-Plus Methodology," Policy Research Working Paper Series 10616, The World Bank.
    7. Galdo Virgilio & Acevedo Gladys Lopez & Rama Martin, 2021. "Conflict and the composition of economic activity in Afghanistan," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-23, January.
    8. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2016. "Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 579-631.
    9. Luis R. Martínez, 2022. "How Much Should We Trust the Dictator’s GDP Growth Estimates?," Journal of Political Economy, University of Chicago Press, vol. 130(10), pages 2731-2769.
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