relation: http://oar.icrisat.org/11425/
title: CGIAR modeling approaches for resource constrained scenarios: IV Models for analyzing socio‐economic factors to improve policy recommendations
creator: Kruseman, G
creator: Bairagi, S
creator: Komarek, A M
creator: Milan, A M
creator: Nedumaran, S
creator: Petsakos, A
creator: Prager, S
creator: Yigezu, Y A
subject: Agriculture Policy
subject: Crop Modelling
subject: Data & Analytics
subject: Cropping and Farming Systems
subject: Food Security
subject: Agricultural Economics
description: International crop-related research as conducted by the CGIAR uses crop modelingfor a variety of purposes. By linking crop models with economic models andapproaches, crop model outputs can be effectively used as inputs into socioeco-nomic modeling efforts for priority setting and policy advice using ex-ante impactassessment of technologies and scenario analysis. This requires interdisciplinarycollaboration and very often collaboration across a variety of research organizations.This study highlights the key topics, purposes, and approaches of socioeconomicanalysis within the CGIAR related to cropping systems. Although each CGIARcenter has a different mission, all CGIAR centers share a common strategy of strivingtoward a world free of hunger, poverty, and environmental degradation. This meansresearch is mostly focused toward resource-constrained smallholder farmers. Thereview covers global modeling efforts using the IMPACT model to farm householdbio-economic models for assessing the potential impact of new technologies onfarming systems and livelihoods. Although the CGIAR addresses all aspects of foodsystems, the focus of this review is on crop commodities and the economic analysislinked to crop-growth model results. This study, while not a comprehensive review,provides insights into the richness of the socioeconomic modeling endeavors withinthe CGIAR. The study highlights the need for interdisciplinary approaches to addressthe challenges this type of modeling faces.
publisher: Crop Science Society of America
date: 2020-03
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://oar.icrisat.org/11425/1/csc2.20114.pdf
identifier:   Kruseman, G and Bairagi, S and Komarek, A M and Milan, A M and Nedumaran, S and Petsakos, A and Prager, S and Yigezu, Y A  (2020) CGIAR modeling approaches for resource constrained scenarios: IV Models for analyzing socio‐economic factors to improve policy recommendations.  Crop Science (TSI).  pp. 1-14.  ISSN 0011-183X     
relation: https://doi.org/10.1002/csc2.20114
relation: doi:10.1002/csc2.20114