Gender Household Survey

The purpose of this survey is to gather gender-disaggregated data on agricultural activities, decision-making, weather information, risk-perception and values from rural households in Kenya, Bangladesh, Uganda and Senegal. The survey ultimately will cover 200 households in each site - the same house...

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Detalles Bibliográficos
Autores principales: CGIAR Research Program on Climate Change, Agriculture and Food Security, International Food Policy Research Institute, International Livestock Research Institute
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2013
Materias:
Acceso en línea:https://hdl.handle.net/10568/78837
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author CGIAR Research Program on Climate Change, Agriculture and Food Security
International Food Policy Research Institute
International Livestock Research Institute
author_browse CGIAR Research Program on Climate Change, Agriculture and Food Security
International Food Policy Research Institute
International Livestock Research Institute
author_facet CGIAR Research Program on Climate Change, Agriculture and Food Security
International Food Policy Research Institute
International Livestock Research Institute
author_sort CGIAR Research Program on Climate Change, Agriculture and Food Security
collection Repository of Agricultural Research Outputs (CGSpace)
description The purpose of this survey is to gather gender-disaggregated data on agricultural activities, decision-making, weather information, risk-perception and values from rural households in Kenya, Bangladesh, Uganda and Senegal. The survey ultimately will cover 200 households in each site - the same households that were sampled for the IMPACT Lite Surveys. This survey builds on the information collected in that round, supplementing the detailed productivity related information with data on decision-making and other topics. This information will be used for researchers, policy-makers and development practitioners to better understand the vulnerabilities of men and women to climate change, how they differ, and what actions can be taken to reduce that vulnerability.
format Conjunto de datos
id CGSpace78837
institution CGIAR Consortium
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publishDate 2013
publishDateRange 2013
publishDateSort 2013
record_format dspace
spelling CGSpace788372025-05-01T21:01:52Z Gender Household Survey CGIAR Research Program on Climate Change, Agriculture and Food Security International Food Policy Research Institute International Livestock Research Institute climate change agriculture food security gender The purpose of this survey is to gather gender-disaggregated data on agricultural activities, decision-making, weather information, risk-perception and values from rural households in Kenya, Bangladesh, Uganda and Senegal. The survey ultimately will cover 200 households in each site - the same households that were sampled for the IMPACT Lite Surveys. This survey builds on the information collected in that round, supplementing the detailed productivity related information with data on decision-making and other topics. This information will be used for researchers, policy-makers and development practitioners to better understand the vulnerabilities of men and women to climate change, how they differ, and what actions can be taken to reduce that vulnerability. 2013-09-17 2017-01-18T16:02:07Z 2017-01-18T16:02:07Z Dataset https://hdl.handle.net/10568/78837 en Open Access CCAFS, IFPRI, ILRI. 2013. Gender Household Survey. Harvard Dataverse, V4.
spellingShingle climate change
agriculture
food security
gender
CGIAR Research Program on Climate Change, Agriculture and Food Security
International Food Policy Research Institute
International Livestock Research Institute
Gender Household Survey
title Gender Household Survey
title_full Gender Household Survey
title_fullStr Gender Household Survey
title_full_unstemmed Gender Household Survey
title_short Gender Household Survey
title_sort gender household survey
topic climate change
agriculture
food security
gender
url https://hdl.handle.net/10568/78837
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AT internationalfoodpolicyresearchinstitute genderhouseholdsurvey
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