Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Philippines Case Study
cg.authorship.types | CGIAR single centre | en |
cg.contributor.affiliation | International Food Policy Research Institute | en |
cg.contributor.donor | Millennium Challenge Corporation | en |
cg.coverage.country | Philippines | |
cg.coverage.iso3166-alpha2 | PH | |
cg.coverage.region | Asia | |
cg.coverage.region | South-eastern Asia | |
cg.howPublished | Grey Literature | en |
cg.identifier.dataurl | https://doi.org/10.7910/dvn/qqabty | en |
cg.identifier.doi | https://doi.org/10.7910/dvn/upkrko | en |
cg.identifier.project | IFPRI - Poverty, Gender, and Inclusion Unit | |
cg.identifier.project | IFPRI - Natural Resources and Resilience Unit | |
cg.identifier.project | IFPRI - Innovation Policy and Scaling Unit | |
cg.identifier.project | IFPRI - Women's Empowerment in Agriculture Index (WEIA) | |
cg.identifier.publicationRank | Not ranked | |
cg.place | Washington, DC | en |
cg.reviewStatus | Internal Review | en |
cg.subject.actionArea | Systems Transformation | |
cg.subject.impactArea | Gender equality, youth and social inclusion | |
cg.subject.sdg | SDG 5 - Gender equality | en |
dc.contributor.author | International Food Policy Research Institute | en |
dc.date.accessioned | 2024-12-20T19:48:28Z | en |
dc.date.available | 2024-12-20T19:48:28Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/168189 | |
dc.title | Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Philippines Case Study | en |
dcterms.abstract | The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from the Philippines is the first of four country case studies that developed additional market inclusion (+MI) indicators to complement the pro-WEAI. The Philippines case study focused on women and men working in production, processing, trading, and marketing in the abaca, coconut, seaweed, and swine VCs. Using a purposive sampling design, survey data were collected in March–August 2017 in six provinces in the Bicol and Visayas regions of the Philippines. Data on each VC was collected in two provinces, selected based on presence of production and processing activities. Abaca and coconut data were collected initially in Sorsogon and Leyte, and additional survey areas were added in Albay and Southern Leyte to reach target sample sizes. Seaweed and swine data were collected in Bohol and Cebu. This data package includes the pro-WEAI+MI questions implemented in the Philippines, basic household and demographic information, and constructed pro-WEAI and +MI indicators. | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Academics | en |
dcterms.audience | General Public | en |
dcterms.audience | Policy Makers | en |
dcterms.bibliographicCitation | International Food Policy Research Institute (IFPRI). 2024. Project-Level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-weai+MI): Philippines Case Study. Washington, DC: IFPRI [Dataset]. https://doi.org/10.7910/DVN/UPKRKO. Harvard Dataverse. Version 1. | en |
dcterms.isPartOf | Household- and Community-level Surveys | en |
dcterms.issued | 2024-04-24 | |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | International Food Policy Research Institute | en |
dcterms.relation | https://doi.org/10.2499/p15738coll2.136606 | en |
dcterms.relation | https://doi.org/10.1007/s12571-021-01193-5 | en |
dcterms.relation | https://doi.org/10.1016/j.jrurstud.2020.04.003 | en |
dcterms.subject | women | en |
dcterms.subject | agriculture | en |
dcterms.subject | abaca | en |
dcterms.subject | coconuts | en |
dcterms.subject | seaweeds | en |
dcterms.subject | swine | en |
dcterms.subject | empowerment | en |
dcterms.subject | households | en |
dcterms.subject | gender | en |
dcterms.subject | value chains | en |
dcterms.type | Dataset |
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