Understanding heterogeneity: A mixed-method analysis to inform context-specific strategies for the inclusive scaling of improved bean varieties

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dc.creatorQuintero, Katherine
dc.creatorPérez, Yuliana
dc.creatorTaborda, Luis Alejandro
dc.creatorPérez, Salomón
dc.creatorReyes, Byron
dc.date2025-12-02
dc.date2025-12-17T10:09:36Z
dc.date2025-12-17T10:09:36Z
dc.date.accessioned2026-06-27T13:34:28Z
dc.descriptionThis presentation analyzes the low adoption of improved bean varieties in Guatemala using a mixed-methods approach that combines surveys with 516 farmers and 12 semi-structured interviews with value chain actors. Through FAMD, hierarchical clustering, and thematic analysis, it identifies three farmer typologies that differ in age, market orientation, input use, and exchange networks, as well as other perspectives across the bean value chain. The findings show that there is no “average farmer,” and that institutional-level solutions are key to designing inclusive scaling strategies.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/178914
dc.identifier.urihttp://hdl.handle.net/123456789/63667
dc.languageen
dc.rightsOpen Access
dc.sourceQuintero, K.; Pérez, Y.; Taborda, L.A.; Pérez, S.; Reyes, B. (2025) Understanding heterogeneity: A mixed-method analysis to inform context-specific strategies for the inclusive scaling of improved bean varieties. Presented on 02 December 2025, Palmira, Colombia. 20 sl.
dc.subjectbeans
dc.subjectfarmers
dc.subjectseeds
dc.subjectpolicies
dc.subjectvalue chains
dc.subjectstrategies
dc.subjectinclusion
dc.subjectinnovation scaling
dc.titleUnderstanding heterogeneity: A mixed-method analysis to inform context-specific strategies for the inclusive scaling of improved bean varieties
dc.typePresentation

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