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

dc.creatorKruseman, G.
dc.creatorBairagi, S.
dc.creatorKomarek, A.M.
dc.creatorMolero, A.
dc.creatorNedumaran, S.
dc.creatorPetsakos, A.
dc.creatorPrager, S.D.
dc.creatorYigezu, A.Y.
dc.date2020-04-02T00:15:18Z
dc.date2020-04-02T00:15:18Z
dc.date2020
dc.date.accessioned2023-07-17T20:05:50Z
dc.date.available2023-07-17T20:05:50Z
dc.identifier1435-0653 (Print)
dc.identifierhttps://hdl.handle.net/10883/20812
dc.identifier10.1002/csc2.20114
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7512610
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.description568-581
dc.formatPDF
dc.languageEnglish
dc.publisherCrop Science Society of America (CSSA)
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
dc.rightsOpen Access
dc.source2
dc.source60
dc.sourceCrop Science
dc.subjectCROP MODELLING
dc.subjectPLANT BREEDING
dc.subjectCROP IMPROVEMENT
dc.subjectCLIMATE CHANGE ADAPTATION
dc.subjectSOCIOECONOMIC ENVIRONMENT
dc.titleCGIAR modeling approaches for resource‐constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendations
dc.typeArticle
dc.typePublished Version
dc.coverageMadison (USA)


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