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

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cg.authorship.typesCGIAR multi-centreen
cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren
cg.contributor.affiliationUniversity of Arkansasen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen
cg.contributor.affiliationInternational Potato Centeren
cg.contributor.affiliationBioversity International and the International Center for Tropical Agricultureen
cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.crpMaize
cg.contributor.crpBig Data
cg.contributor.crpPolicies, Institutions, and Markets
cg.contributor.crpRice
cg.contributor.crpDryland Systems
cg.contributor.crpGrain Legumes
cg.contributor.crpWheat
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.creator.identifierGideon Kruseman: 0000-0002-3392-4176en
cg.creator.identifierSubir Bairagi: 0000-0003-4473-2249en
cg.creator.identifierAdam M. Komarek: 0000-0001-5676-3005en
cg.creator.identifierAnabel Molero Milan: 0000-0001-7785-2349en
cg.creator.identifierSwamikannu Nedumaran: 0000-0003-4755-1769en
cg.creator.identifierAthanasios Petsakos: 0000-0003-0224-4087en
cg.creator.identifierSteven D. Prager: 0000-0001-9830-7008en
cg.creator.identifierYigezu A. Yigezu: 0000-0002-9156-7082en
cg.identifier.doihttps://doi.org/10.1002/csc2.20114en
cg.identifier.projectIFPRI - Environment and Production Technology Divisionen
cg.identifier.publicationRankAen
cg.isijournalISI Journalen
cg.issn0011-183Xen
cg.issue2en
cg.journalCrop Scienceen
cg.reviewStatusPeer Reviewen
cg.subject.alliancebiovciatAGRICULTUREen
cg.subject.alliancebiovciatCLIMATE CHANGEen
cg.subject.alliancebiovciatFOOD SECURITYen
cg.volume60en
dc.contributor.authorKruseman, Gideon K.en
dc.contributor.authorBairagi, Subiren
dc.contributor.authorKomarek, Adam M.en
dc.contributor.authorMolero Milan, Anabelen
dc.contributor.authorNedumaran, Swamikannuen
dc.contributor.authorPetsakos, Athanasiosen
dc.contributor.authorPrager, Steven D.en
dc.contributor.authorYigezu, Yigezu Atnafeen
dc.date.accessioned2020-05-25T20:16:33Zen
dc.date.available2020-05-25T20:16:33Zen
dc.identifier.urihttps://hdl.handle.net/10568/108315
dc.titleCGIAR modeling approaches for resource-constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendationsen
dcterms.abstractInternational 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.en
dcterms.accessRightsOpen Access
dcterms.available2020-03-20en
dcterms.bibliographicCitationKruseman, 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.en
dcterms.extentp. 568-581en
dcterms.issued2020-05-01en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherWileyen
dcterms.relationhttps://doi.org/10.1002/csc2.20048en
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/7083en
dcterms.subjectagricultureen
dcterms.subjectagriculturaen
dcterms.subjectproductionen
dcterms.subjectproduccionen
dcterms.subjectanalysisen
dcterms.subjectanálisisen
dcterms.subjectcgiaren
dcterms.subjectmodelsen
dcterms.subjectresourcesen
dcterms.subjectsmallholdersen
dcterms.subjectsocioeconomic environmenten
dcterms.subjectpoliciesen
dcterms.subjectex ante impact assessmenten
dcterms.subjectresource managementen
dcterms.subjecteconomic developmenten
dcterms.subjectcommoditiesen
dcterms.subjectfood supplyen
dcterms.subjectfood securityen
dcterms.subjecttechnological changesen
dcterms.subjectcommodity marketsen
dcterms.subjecthouseholdsen
dcterms.subjectlivelihoodsen
dcterms.typeJournal Article

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