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 will likely increase in the future and accurate, mi...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2022
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| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (62 Seiten) |
| DOI: | 10.1596/1813-9450-9968 |
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| 520 | 3 | |a 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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| spellingShingle | Markhof, Yannick Valentin Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa Agriculture Climate Change and Agriculture Climate Change and Environment Climate Change and Health Climate Change Impact Crop Management Disaster Risk Reduction Strategies Education Educational Sciences Environment Flood Food Security Natural Disasters Post Disaster Needs Assessment Science of Climate Change |
| title | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa |
| title_auth | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa |
| title_exact_search | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa |
| title_exact_search_txtP | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa |
| title_full | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa Yannick Valentin Markhof |
| title_fullStr | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa Yannick Valentin Markhof |
| title_full_unstemmed | Measuring Disaster Crop Production Losses using Survey Microdata Evidence from Sub-Saharan Africa Yannick Valentin Markhof |
| title_short | Measuring Disaster Crop Production Losses using Survey Microdata |
| title_sort | measuring disaster crop production losses using survey microdata evidence from sub saharan africa |
| title_sub | Evidence from Sub-Saharan Africa |
| topic | Agriculture Climate Change and Agriculture Climate Change and Environment Climate Change and Health Climate Change Impact Crop Management Disaster Risk Reduction Strategies Education Educational Sciences Environment Flood Food Security Natural Disasters Post Disaster Needs Assessment Science of Climate Change |
| topic_facet | Agriculture Climate Change and Agriculture Climate Change and Environment Climate Change and Health Climate Change Impact Crop Management Disaster Risk Reduction Strategies Education Educational Sciences Environment Flood Food Security Natural Disasters Post Disaster Needs Assessment Science of Climate Change |
| url | https://doi.org/10.1596/1813-9450-9968 |
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