Clustering for global market access in Bangladesh: Baseline survey
cg.authorship.types | CGIAR single centre | en |
cg.contributor.affiliation | International Food Policy Research Institute | en |
cg.contributor.donor | CGIAR Trust Fund | en |
cg.contributor.initiative | Rethinking Food Markets | en |
cg.coverage.country | Bangladesh | en |
cg.coverage.iso3166-alpha2 | BD | en |
cg.coverage.region | Asia | en |
cg.coverage.region | Southern Asia | en |
cg.identifier.dataurl | https://doi.org/10.7910/dvn/vqjnlg | en |
cg.identifier.doi | https://doi.org/10.7910/dvn/tuxyxq | en |
cg.identifier.project | IFPRI - Markets, Trade, and Institutions Unit | en |
cg.identifier.project | IFPRI - Development Strategies and Governance Unit | en |
cg.identifier.project | IFPRI - Poverty, Gender, and Inclusion Unit | en |
cg.identifier.publicationRank | Not ranked | en |
cg.place | Washington, DC | en |
cg.reviewStatus | Internal Review | en |
cg.subject.actionArea | Systems Transformation | en |
cg.subject.impactArea | Nutrition, health and food security | en |
cg.subject.impactArea | Poverty reduction, livelihoods and jobs | en |
cg.subject.sdg | SDG 1 - No poverty | en |
cg.subject.sdg | SDG 2 - Zero hunger | en |
cg.subject.sdg | SDG 3 - Good health and well-being | en |
cg.subject.sdg | SDG 8 - Decent work and economic growth | en |
dc.contributor.author | International Food Policy Research Institute | en |
dc.date.accessioned | 2025-02-20T17:14:34Z | en |
dc.date.available | 2025-02-20T17:14:34Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/173291 | |
dc.title | Clustering for global market access in Bangladesh: Baseline survey | en |
dcterms.abstract | The "Clustering for Global Market Access Survey" was conducted to assess the impacts of shrimp farm clustering interventions implemented by the Department of Fisheries (DoF), the Bangladesh Shrimp and Fish Foundation (BSFF), and a private sector actor. The survey was carried out in two rounds: a baseline in 2023 and an endline in 2024, to evaluate the effectiveness of these interventions. The data presented here are from the baseline survey conducted between November 14 and December 14, 2023. Data were collected at the household, cluster, and community levels using a two-stage simple random sampling design and analyzed through a difference-in-differences approach. The household datasets include 1,222 shrimp farms across three districts in southern Bangladesh—Bagerhat, Khulna, and Satkhira. Among these, 622 are cluster farmers, and 600 are non-cluster comparison farmers situated in either the same or adjacent villages to cluster farmers. The data encompass cluster participation, pond characteristics, inputs received from cluster operators, stocking and harvesting, feed and non-feed input use, sales revenue, integrated farming, labor use, credit access, dietary diversity, and food security. The cluster datasets cover 68 shrimp farm clusters, providing insights into cluster composition and training delivered to cluster members. The community datasets provide contextual information on the 136 villages where both cluster and non-cluster farmers reside. | en |
dcterms.accessRights | Open Access | en |
dcterms.audience | Academics | en |
dcterms.audience | General Public | en |
dcterms.audience | Policy Makers | en |
dcterms.bibliographicCitation | International Food Policy Research Institute (IFPRI). 2024. Clustering for global market access in Bangladesh: Baseline survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/TUXYXQ. Harvard Dataverse. Version 1. | en |
dcterms.isPartOf | Household- and Community-level Surveys | en |
dcterms.issued | 2024-12-31 | en |
dcterms.language | en | en |
dcterms.license | CC-BY-4.0 | en |
dcterms.publisher | International Food Policy Research Institute | en |
dcterms.subject | aquaculture | en |
dcterms.subject | shrimp culture | en |
dcterms.subject | value chains | en |
dcterms.subject | market access | en |
dcterms.subject | food security | en |
dcterms.subject | dietary diversity | en |
dcterms.subject | credit | en |
dcterms.subject | labor | en |
dcterms.subject | income | en |
dcterms.type | Dataset | en |
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