Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa

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...

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Bibliographic Details
Main Authors: Markhof, Yannick Valentin, Ponzini, Giulia, Wollburg, Philip Randolph
Format: Working Paper
Language:English
Published: Washington, DC: World Bank 2022
Subjects:
FLOOD
POST DISASTER NEEDS ASSESSMENT
DISASTER RISK REDUCTION STRATEGIES
CLIMATE CHANGE IMPACT
CROP MANAGEMENT
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
id okr-10986-37163
recordtype oai_dc
spelling okr-10986-371632022-03-18T05:10:40Z Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa Markhof, Yannick Valentin Ponzini, Giulia Wollburg, Philip Randolph FLOOD POST DISASTER NEEDS ASSESSMENT DISASTER RISK REDUCTION STRATEGIES CLIMATE CHANGE IMPACT CROP MANAGEMENT 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. 2022-03-17T18:53:55Z 2022-03-17T18:53:55Z 2022-03-14 Working Paper 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 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC: World Bank Policy Research Working Paper Publications & Research Africa
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic FLOOD
POST DISASTER NEEDS ASSESSMENT
DISASTER RISK REDUCTION STRATEGIES
CLIMATE CHANGE IMPACT
CROP MANAGEMENT
spellingShingle FLOOD
POST DISASTER NEEDS ASSESSMENT
DISASTER RISK REDUCTION STRATEGIES
CLIMATE CHANGE IMPACT
CROP MANAGEMENT
Markhof, Yannick Valentin
Ponzini, Giulia
Wollburg, Philip Randolph
Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa
geographic_facet Africa
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.
format Working Paper
author Markhof, Yannick Valentin
Ponzini, Giulia
Wollburg, Philip Randolph
author_facet Markhof, Yannick Valentin
Ponzini, Giulia
Wollburg, Philip Randolph
author_sort Markhof, Yannick Valentin
title Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa
title_short 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
title_fullStr Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa
title_full_unstemmed Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa
title_sort measuring disaster crop production losses using survey microdata : evidence from sub-saharan africa
publisher Washington, DC: World Bank
publishDate 2022
url 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
_version_ 1764486648354045952

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