Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa
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...
| Main Authors: | , , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
Washington, DC: World Bank
2022
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/324181647280329139/Measuring-Disaster-Crop-Production-Losses-Using-Survey-Microdata-Evidence-from-Sub-Saharan-Africa http://hdl.handle.net/10986/37163 |
| 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 research. |
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