Spatial networks in multi-region computable general equilibrium models

The spatial dimension of economic policy is often important. However, as opposed to partial-equilibrium multi-region programming models, existing multi-region Computable General Equilibrium (CGE) models have rarely explicitly treated geographical space. This paper develops a spatial-network, mixed-c...

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Main Authors: Lofgren, Hans, Robinson, Sherman
Format: Artículo preliminar
Language:Inglés
Published: International Food Policy Research Institute 1999
Subjects:
Online Access:https://hdl.handle.net/10568/161342
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author Lofgren, Hans
Robinson, Sherman
author_browse Lofgren, Hans
Robinson, Sherman
author_facet Lofgren, Hans
Robinson, Sherman
author_sort Lofgren, Hans
collection Repository of Agricultural Research Outputs (CGSpace)
description The spatial dimension of economic policy is often important. However, as opposed to partial-equilibrium multi-region programming models, existing multi-region Computable General Equilibrium (CGE) models have rarely explicitly treated geographical space. This paper develops a spatial-network, mixed-complementarity CGE model that combines the strengths of CGE and partial-equilibrium programming models. We implement the model with a prototype data set for a stylized, poor, developing country with rural regions linked to an urban region that provides the gateway to international markets. We demonstrate that the model provides a good framework for analyzing the impact of higher world prices and reduced domestic transportation costs.
format Artículo preliminar
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institution CGIAR Consortium
language Inglés
publishDate 1999
publishDateRange 1999
publishDateSort 1999
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publisherStr International Food Policy Research Institute
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spelling CGSpace1613422025-11-06T05:37:43Z Spatial networks in multi-region computable general equilibrium models Lofgren, Hans Robinson, Sherman equilibrium theory economic policies spatial analysis computable general equilibrium models The spatial dimension of economic policy is often important. However, as opposed to partial-equilibrium multi-region programming models, existing multi-region Computable General Equilibrium (CGE) models have rarely explicitly treated geographical space. This paper develops a spatial-network, mixed-complementarity CGE model that combines the strengths of CGE and partial-equilibrium programming models. We implement the model with a prototype data set for a stylized, poor, developing country with rural regions linked to an urban region that provides the gateway to international markets. We demonstrate that the model provides a good framework for analyzing the impact of higher world prices and reduced domestic transportation costs. 1999 2024-11-21T09:55:02Z 2024-11-21T09:55:02Z Working Paper https://hdl.handle.net/10568/161342 en Open Access application/pdf International Food Policy Research Institute Lofgren, Hans; Robinson, Sherman. 1999. Spatial networks in multi-region computable general equilibrium models. TMD Discussion Paper 35. https://hdl.handle.net/10568/161342
spellingShingle equilibrium theory
economic policies
spatial analysis
computable general equilibrium models
Lofgren, Hans
Robinson, Sherman
Spatial networks in multi-region computable general equilibrium models
title Spatial networks in multi-region computable general equilibrium models
title_full Spatial networks in multi-region computable general equilibrium models
title_fullStr Spatial networks in multi-region computable general equilibrium models
title_full_unstemmed Spatial networks in multi-region computable general equilibrium models
title_short Spatial networks in multi-region computable general equilibrium models
title_sort spatial networks in multi region computable general equilibrium models
topic equilibrium theory
economic policies
spatial analysis
computable general equilibrium models
url https://hdl.handle.net/10568/161342
work_keys_str_mv AT lofgrenhans spatialnetworksinmultiregioncomputablegeneralequilibriummodels
AT robinsonsherman spatialnetworksinmultiregioncomputablegeneralequilibriummodels