Using quantitative tools to measure gender differences within value chains

Chapter 14 (Madrigal and Torero) sheds light on an important issue that is not captured by any of the previous approaches: Most value-chain impact evaluations fail to look at effects disaggregated by gender. This is an important oversight, because in most value chains men and women play different ro...

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Detalles Bibliográficos
Autores principales: Madrigal, Lucia, Torero, Máximo
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2016
Materias:
Acceso en línea:https://hdl.handle.net/10568/148584
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author Madrigal, Lucia
Torero, Máximo
author_browse Madrigal, Lucia
Torero, Máximo
author_facet Madrigal, Lucia
Torero, Máximo
author_sort Madrigal, Lucia
collection Repository of Agricultural Research Outputs (CGSpace)
description Chapter 14 (Madrigal and Torero) sheds light on an important issue that is not captured by any of the previous approaches: Most value-chain impact evaluations fail to look at effects disaggregated by gender. This is an important oversight, because in most value chains men and women play different roles, and failure to account for gender in a randomized controlled trial, quasi-experimental, or participatory intervention may significantly alter the results of these studies. To resolve this gap in the literature, the authors focus on several tools and metrics to incorporate gender in value-chain impact evaluations. The Oaxaca Blinder decomposition analysis allows for proper measurement of wage gaps between men and women by controlling for other observable variables; the Duncan Index and Access to Work Equality Index measure occupational segregation and differential access to employment.
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spelling CGSpace1485842025-11-06T04:08:08Z Using quantitative tools to measure gender differences within value chains Madrigal, Lucia Torero, Máximo value chains retail marketing gender transport farmers organizations smallholders market access trade wholesale marketing producer organizations food processing Chapter 14 (Madrigal and Torero) sheds light on an important issue that is not captured by any of the previous approaches: Most value-chain impact evaluations fail to look at effects disaggregated by gender. This is an important oversight, because in most value chains men and women play different roles, and failure to account for gender in a randomized controlled trial, quasi-experimental, or participatory intervention may significantly alter the results of these studies. To resolve this gap in the literature, the authors focus on several tools and metrics to incorporate gender in value-chain impact evaluations. The Oaxaca Blinder decomposition analysis allows for proper measurement of wage gaps between men and women by controlling for other observable variables; the Duncan Index and Access to Work Equality Index measure occupational segregation and differential access to employment. 2016-10-21 2024-06-21T09:25:07Z 2024-06-21T09:25:07Z Book Chapter https://hdl.handle.net/10568/148584 en https://doi.org/10.2499/9780896292130 Open Access application/pdf International Food Policy Research Institute Madrigal, Lucia and Torero, Maximo. 2016. Using quantitative tools to measure gender differences within value chains. In Innovation for inclusive value-chain development: Successes and challenges. Devaux, André; Torero, Máximo; Donovan, Jason; Horton, Douglas (Eds.). Chapter 14. Pp. 441-464. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/9780896292130_14.
spellingShingle value chains
retail marketing
gender
transport
farmers organizations
smallholders
market access
trade
wholesale marketing
producer organizations
food processing
Madrigal, Lucia
Torero, Máximo
Using quantitative tools to measure gender differences within value chains
title Using quantitative tools to measure gender differences within value chains
title_full Using quantitative tools to measure gender differences within value chains
title_fullStr Using quantitative tools to measure gender differences within value chains
title_full_unstemmed Using quantitative tools to measure gender differences within value chains
title_short Using quantitative tools to measure gender differences within value chains
title_sort using quantitative tools to measure gender differences within value chains
topic value chains
retail marketing
gender
transport
farmers organizations
smallholders
market access
trade
wholesale marketing
producer organizations
food processing
url https://hdl.handle.net/10568/148584
work_keys_str_mv AT madrigallucia usingquantitativetoolstomeasuregenderdifferenceswithinvaluechains
AT toreromaximo usingquantitativetoolstomeasuregenderdifferenceswithinvaluechains