CGIAR modeling approaches for resource-constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendations

Vista sencilla de ítem
dc.creatorKruseman, Gideon K.
dc.creatorBairagi, Subir
dc.creatorKomarek, Adam M.
dc.creatorMolero Milan, Anabel
dc.creatorNedumaran, Swamikannu
dc.creatorPetsakos, Athanasios
dc.creatorPrager, Steven D.
dc.creatorYigezu, Yigezu Atnafe
dc.date2020-05-01
dc.date2020-05-25T20:16:33Z
dc.date2020-05-25T20:16:33Z
dc.date.accessioned2026-06-27T18:01:52Z
dc.descriptionInternational crop-related research as conducted by the CGIAR uses crop modeling for a variety of purposes. By linking crop models with economic models and approaches, crop model outputs can be effectively used as inputs into socioeconomic modeling efforts for priority setting and policy advice using ex-ante impact assessment of technologies and scenario analysis. This requires interdisciplinary collaboration and very often collaboration across a variety of research organizations. This study highlights the key topics, purposes, and approaches of socioeconomic analysis within the CGIAR related to cropping systems. Although each CGIAR center has a different mission, all CGIAR centers share a common strategy of striving toward a world free of hunger, poverty, and environmental degradation. This means research is mostly focused toward resource-constrained smallholder farmers. The review covers global modeling efforts using the IMPACT model to farm household bio-economic models for assessing the potential impact of new technologies on farming systems and livelihoods. Although the CGIAR addresses all aspects of food systems, the focus of this review is on crop commodities and the economic analysis linked to crop-growth model results. This study, while not a comprehensive review, provides insights into the richness of the socioeconomic modeling endeavors within the CGIAR. The study highlights the need for interdisciplinary approaches to address the challenges this type of modeling faces.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/108315
dc.identifier.urihttp://hdl.handle.net/123456789/152927
dc.languageen
dc.publisherWiley
dc.relationhttps://doi.org/10.1002/csc2.20048
dc.rightsOpen Access
dc.sourceKruseman, G.; Bairagi, S.; Komarek, A. M.; Molero Milan, A.; Nedumaran, S.; Petsakos, A.; Prager, S.; Yigezu, Y. A. 2020 CGIAR modeling approaches for resource-constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendations. Crop Science ISSN: 0011-183X 14 p.
dc.subjectagriculture
dc.subjectagricultura
dc.subjectproduction
dc.subjectproduccion
dc.subjectanalysis
dc.subjectanálisis
dc.subjectcgiar
dc.subjectmodels
dc.subjectresources
dc.subjectsmallholders
dc.subjectsocioeconomic environment
dc.subjectpolicies
dc.subjectex ante impact assessment
dc.subjectresource management
dc.subjecteconomic development
dc.subjectcommodities
dc.subjectfood supply
dc.subjectfood security
dc.subjecttechnological changes
dc.subjectcommodity markets
dc.subjecthouseholds
dc.subjectlivelihoods
dc.titleCGIAR modeling approaches for resource-constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendations
dc.typeJournal Article

Archivos

Colecciones

Centro Internacional de la Papa (CIP)