Measuring Disaster Crop Production Losses using Survey Microdata : Evidence from Sub-Saharan Africa / Yannick Valentin Markhof

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Washington, D.C : The World Bank, 2022Description: 1 Online-Ressource (62 pages)Subject(s): Additional physical formats: Erscheint auch als: Measuring Disaster Crop Production Losses using Survey Microdata: Evidence from Sub-Saharan Africa. Druck-Ausgabe Washington, D.C. : The World Bank, 2022DOI: DOI: 10.1596/1813-9450-9968Online resources: Summary: Every year, disasters account for billions of dollars in crop production losses in low- and middle-income countries and particularly threaten the lives and livelihoods of those depending on agriculture. With climate change accelerating, this burden will likely increase in the future and accurate, micro-level measurement of crop losses will be important to understand disasters' implications for livelihoods, prevent humanitarian crises, and build future resilience. Survey data present a large, rich, highly disaggregated information source that is trialed and tested to the specifications of smallholder agriculture common in low- and middle-income countries. However, to tap into this potential, a thorough understanding of and robust methodology for measuring disaster crop production losses in survey microdata is essential. This paper exploits plot-level panel data for almost 20,000 plots on 8,000 farms in three Sub-Saharan African countries with information on harvest, input use, and different proxies of losses; household and community-level data; as well data from other sources such as crop cutting and survey experiments, to provide new insights into the reliability of survey-based crop loss estimates and their attribution to disasters. The paper concludes with concrete recommendations for methodology and survey design and identifies key avenues for further researchPPN: PPN: 1800202776Package identifier: Produktsigel: ZDB-1-WBA | ZDB-110-WBL
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