Measuring Disaster Crop Production Losses Using Survey Microdata
| dc.creator | Markhof, Yannick Valentin | |
| dc.creator | Ponzini, Giulia | |
| dc.creator | Wollburg, Philip Randolph | |
| dc.date | 2022-03-17T18:53:55Z | |
| dc.date | 2022-03-17T18:53:55Z | |
| dc.date | 2022-03-14 | |
| dc.date.accessioned | 2026-07-01T00:35:49Z | |
| dc.description | 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. | |
| dc.format | application/pdf | |
| dc.format | text/plain | |
| dc.identifier | http://documents.worldbank.org/curated/en/324181647280329139/Measuring-Disaster-Crop-Production-Losses-Using-Survey-Microdata-Evidence-from-Sub-Saharan-Africa | |
| dc.identifier | https://hdl.handle.net/10986/37163 | |
| dc.identifier | 10.1596/1813-9450-9968 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/406957 | |
| dc.language | English | |
| dc.publisher | Washington, DC: World Bank | |
| dc.relation | Policy Research Working Paper; 9968 | |
| dc.rights | CC BY 3.0 IGO | |
| dc.rights | http://creativecommons.org/licenses/by/3.0/igo | |
| dc.rights | World Bank | |
| dc.subject | FLOOD | |
| dc.subject | POST DISASTER NEEDS ASSESSMENT | |
| dc.subject | DISASTER RISK REDUCTION STRATEGIES | |
| dc.subject | CLIMATE CHANGE IMPACT | |
| dc.subject | CROP MANAGEMENT | |
| dc.subject | ZERO HUNGER | |
| dc.subject | SDG 2 | |
| dc.subject | CLIMATE ACTION | |
| dc.subject | SDG 13 | |
| dc.title | Measuring Disaster Crop Production Losses Using Survey Microdata | |
| dc.title | Evidence from Sub-Saharan Africa | |
| dc.type | Working Paper | |
| dc.type | Document de travail | |
| dc.type | Documento de trabajo |
