eprintid: 11425
rev_number: 15
eprint_status: archive
userid: 3170
dir: disk0/00/01/14/25
datestamp: 2020-03-31 10:03:46
lastmod: 2020-03-31 10:03:46
status_changed: 2020-03-31 10:03:46
type: article
metadata_visibility: show
creators_name: Kruseman, G
creators_name: Bairagi, S
creators_name: Komarek, A M
creators_name: Milan, A M
creators_name: Nedumaran, S
creators_name: Petsakos, A
creators_name: Prager, S
creators_name: Yigezu, Y A
icrisatcreators_name: Nedumaran, S
affiliation: International Maize and Wheat Improvement Center (CIMMYT), Apdo, (Mexico)
affiliation: University of Arkansas–Fayetteville, USA,previously International Rice ResearchInstitute (IRRI), Los Baños, Philippines
affiliation: International Food Policy Research Institute(IFPRI), (Washington)
affiliation: ICRISAT (Patancheru)
affiliation: previously International Potato Center (CIP),(Lima)
affiliation: International Center for Tropical Agriculture(Alliance CIAT-Bioversity), (Cali)
affiliation: International Center for AgriculturalResearch in the Dry Areas (ICARDA), (Cairo)
country: Mexico
country: Philippines
country: USA
country: India
country: Peru
country: Columbia
country: Egypt
title: CGIAR modeling approaches for resource constrained scenarios: IV Models for analyzing socio‐economic factors to improve policy recommendations
ispublished: pub
subjects: AP2
subjects: CPM
subjects: S7
subjects: n345
subjects: s26
subjects: s33
divisions: CRPS4
crps: crp1.10
full_text_status: public
keywords: Crop Modeling, Socioeconomic
note: This work was supported by the CGIAR Research Program(CRP) on WHEAT agri-food systems, and the CGIAR Plat-form for Big Data in Agriculture. The authors thank the con-tribution from CRP on Roots, Tubers and Bananas, CRP onGrain Legumes and Dryland Cereals, CRP on Maize, CRP onRice, CRP on Climate Change, Agriculture and Food Securityand CRP on Policies, Institutions and Markets for the contri-butions to this study.
abstract: 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.
date: 2020-03
date_type: published
publication: Crop Science (TSI)
publisher: Crop Science Society of America
pagerange: 1-14
id_number: doi:10.1002/csc2.20114
refereed: TRUE
issn: 0011-183X
official_url: https://doi.org/10.1002/csc2.20114
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1002%2Fcsc2.20114&btnG=
related_url_type: pub
citation:   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     
document_url: http://oar.icrisat.org/11425/1/csc2.20114.pdf