Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models

In the context of the project Quantitative Foresight Modeling to Inform the CGIAR Research Portfolio, IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) was linked to the global dynamic computable general equilibrium model, GLOBE-Energy. This linkage is do...

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Autores principales: Willenbockel, Dirk, Robinson, Sherman, Mason-D'Croz, Daniel, Rosegrant, Mark W., Sulser, Timothy B., Dunston, Shahnila, Cenacchi, Nicola
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2018
Materias:
Acceso en línea:https://hdl.handle.net/10568/146817
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author Willenbockel, Dirk
Robinson, Sherman
Mason-D'Croz, Daniel
Rosegrant, Mark W.
Sulser, Timothy B.
Dunston, Shahnila
Cenacchi, Nicola
author_browse Cenacchi, Nicola
Dunston, Shahnila
Mason-D'Croz, Daniel
Robinson, Sherman
Rosegrant, Mark W.
Sulser, Timothy B.
Willenbockel, Dirk
author_facet Willenbockel, Dirk
Robinson, Sherman
Mason-D'Croz, Daniel
Rosegrant, Mark W.
Sulser, Timothy B.
Dunston, Shahnila
Cenacchi, Nicola
author_sort Willenbockel, Dirk
collection Repository of Agricultural Research Outputs (CGSpace)
description In the context of the project Quantitative Foresight Modeling to Inform the CGIAR Research Portfolio, IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) was linked to the global dynamic computable general equilibrium model, GLOBE-Energy. This linkage is documented here to provide a detailed account of the methodological approach. GLOBE’s role within the analytical framework of the project is to assess the macroeconomic income and welfare effects associated with the alternative pathways for agricultural productivity under the different scenarios and to feed the simulated aggregate income time paths back to IMPACT.
format Artículo preliminar
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institution CGIAR Consortium
language Inglés
publishDate 2018
publishDateRange 2018
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spelling CGSpace1468172025-11-06T07:19:50Z Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models Willenbockel, Dirk Robinson, Sherman Mason-D'Croz, Daniel Rosegrant, Mark W. Sulser, Timothy B. Dunston, Shahnila Cenacchi, Nicola mathematical models household income computable general equilibrium model energy generation productivity commodity markets international trade food systems In the context of the project Quantitative Foresight Modeling to Inform the CGIAR Research Portfolio, IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) was linked to the global dynamic computable general equilibrium model, GLOBE-Energy. This linkage is documented here to provide a detailed account of the methodological approach. GLOBE’s role within the analytical framework of the project is to assess the macroeconomic income and welfare effects associated with the alternative pathways for agricultural productivity under the different scenarios and to feed the simulated aggregate income time paths back to IMPACT. 2018-07-13 2024-06-21T09:08:53Z 2024-06-21T09:08:53Z Working Paper https://hdl.handle.net/10568/146817 en https://hdl.handle.net/10568/148186 https://hdl.handle.net/10568/150391 https://doi.org/10.2499/p15738coll2.134930 https://doi.org/10.21642/JGEA.050105AF https://doi.org/10.1371/journal.pone.0249994 Open Access application/pdf International Food Policy Research Institute Willenbockel, Dirk; Robinson, Sherman; Mason d'Croz, Daniel; Rosegrant, Mark W.; Sulser, Timothy; Dunston, Shahnila; and Cenacchi, Nicola. 2018. Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models. IFPRI Discussion Paper 1738. Washington, DC.: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/146817
spellingShingle mathematical models
household income
computable general equilibrium model
energy generation
productivity
commodity markets
international trade
food systems
Willenbockel, Dirk
Robinson, Sherman
Mason-D'Croz, Daniel
Rosegrant, Mark W.
Sulser, Timothy B.
Dunston, Shahnila
Cenacchi, Nicola
Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models
title Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models
title_full Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models
title_fullStr Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models
title_full_unstemmed Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models
title_short Dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the CGIAR research portfolio: Linking the IMPACT and GLOBE models
title_sort dynamic computable general equilibrium simulations in support of quantitative foresight modeling to inform the cgiar research portfolio linking the impact and globe models
topic mathematical models
household income
computable general equilibrium model
energy generation
productivity
commodity markets
international trade
food systems
url https://hdl.handle.net/10568/146817
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