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The Welfare Cost of Drought in Sub-Saharan Africa

Author

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  • Gascoigne, Jon
  • Baquie, Sandra
  • Vinha, Katja Pauliina
  • Skoufias, Emmanuel
  • Calcutt, Evie
  • Kshirsagar, Varun Sridhar
  • Meenan, Conor
  • Hill, Ruth

Abstract

This paper quantifies the impact of drought on household consumption for five main agroecological zones in Africa, developing vulnerability (or damage) functions of the relationship between rainfall deficits and poverty. Damage functions are a key element in models that quantify the risk of extreme weather and the impacts of climate change. Although these functions are commonly estimated for storm or flood damages to buildings, they are less often available for income losses from droughts. The paper takes a regional approach to the analysis, developing standardized hazard definitions and methods for matching hazard and household data, allowing survey data from close to 100,000 households to be used in the analysis. The damage functions are used to quantify the impact of historical weather conditions on poverty for eight countries, highlighting the risk to poverty outcomes that weather variability causes. National poverty rates are 1–12 percent higher, depending on the country, under the worst weather conditions relative to the best conditions observed in the past 13 years. This amounts to an increase in the total poverty gap that ranges from US$4 million to US$2.4 billion (2011 purchasing power parity).

Suggested Citation

  • Gascoigne, Jon & Baquie, Sandra & Vinha, Katja Pauliina & Skoufias, Emmanuel & Calcutt, Evie & Kshirsagar, Varun Sridhar & Meenan, Conor & Hill, Ruth, 2024. "The Welfare Cost of Drought in Sub-Saharan Africa," Policy Research Working Paper Series 10683, The World Bank.
    • Handle: RePEc:wbk:wbrwps:10683
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    References listed on IDEAS

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    1. Mummolo, Jonathan & Peterson, Erik, 2018. "Improving the Interpretation of Fixed Effects Regression Results," Political Science Research and Methods, Cambridge University Press, vol. 6(4), pages 829-835, October.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. Clarke, Daniel J. & Dercon, Stefan, 2016. "Dull Disasters?: How planning ahead will make a difference," OUP Catalogue, Oxford University Press, number 9780198785576, Decembrie.
    4. Hill, Ruth Vargas & Porter, Catherine, 2017. "Vulnerability to Drought and Food Price Shocks: Evidence from Ethiopia," World Development, Elsevier, vol. 96(C), pages 65-77.
    5. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    6. Sandra Baquié & Guillem Foucault, 2023. "Background Note on Bringing Climate Change into Vulnerability Analysis," World Bank Publications - Reports 40533, The World Bank Group.
    7. Maximilian Auffhammer, 2018. "Quantifying Economic Damages from Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 33-52, Fall.
    8. Ayala Wineman & Nicole M. Mason & Justus Ochieng & Lilian Kirimi, 2017. "Weather extremes and household welfare in rural Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 281-300, April.
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