Measuring Disaster Crop Production Losses Using Survey Microdata
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Washington, DC: World Bank
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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.
Palabras clave
FLOOD, POST DISASTER NEEDS ASSESSMENT, DISASTER RISK REDUCTION STRATEGIES, CLIMATE CHANGE IMPACT, CROP MANAGEMENT, ZERO HUNGER, SDG 2, CLIMATE ACTION, SDG 13