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Measuring Disaster Crop Production Losses using Survey Microdata
Evidence from Sub-Saharan Africa
%A Markhof, Yannick Valentin
%A Ponzini, Giulia
%A Wollburg, Philip Randolph
%I The World Bank
%K Agriculture
%K Climate Change and Agriculture
%K Climate Change and Environment
%K Climate Change and Health
%K Climate Change Impact
%K Crop Management
%K Disaster Risk Reduction Strategies
%K Education
%K Educational Sciences
%K Environment
%K Flood
%K Food Security
%K Natural Disasters
%K Post Disaster Needs Assessment
%K Science of Climate Change
%D 2022
%X 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 research
%C The World Bank
%C Washington, D.C
%U http://slubdd.de/katalog?TN_libero_mab2