Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas

Autores
Bert, Federico Esteban; North, Michael; Rovere, Santiago; Tatara, Erik; Macal, Charles; Podestá, Guillermo
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Land exchange through rental transactions is a central process in agricultural systems. The land tenure regimes emerge from land transactions and structural and land use changes are tied to the dynamics of the land market. We introduce LARMA, a LAnd Rental MArket model embedded within the Pampas Model (PM), an agent-based model of Argentinean agricultural systems. LARMA produces endogenous formation of land rental prices. LARMA relies on traditional economic concepts for LRP formation but addresses some drawbacks of this approach by being integrated into an agent-based model that considers heterogeneous agents interacting with one another. PM-LARMA successfully reproduced the agricultural land tenure regimes and land rental prices observed in the Pampas. Including adaptive, heterogeneous and interacting agents was critical to this success. We conclude that agent-based and traditional economic models can be successfully combined to capture complex emergent land tenure and market price patterns while simplifying the overall model design.
Fil: Bert, Federico Esteban. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: North, Michael. Argonne National Laboratory; Estados Unidos
Fil: Rovere, Santiago. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Tatara, Erik. Argonne National Laboratory; Estados Unidos
Fil: Macal, Charles. Argonne National Laboratory; Estados Unidos
Fil: Podestá, Guillermo. University of Miami; Estados Unidos
Materia
Agricultural Land Markets
Land Tenure
Argentina
Agent-Based Modelling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/16808
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine PampasBert, Federico EstebanNorth, MichaelRovere, SantiagoTatara, ErikMacal, CharlesPodestá, GuillermoAgricultural Land MarketsLand TenureArgentinaAgent-Based Modellinghttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5Land exchange through rental transactions is a central process in agricultural systems. The land tenure regimes emerge from land transactions and structural and land use changes are tied to the dynamics of the land market. We introduce LARMA, a LAnd Rental MArket model embedded within the Pampas Model (PM), an agent-based model of Argentinean agricultural systems. LARMA produces endogenous formation of land rental prices. LARMA relies on traditional economic concepts for LRP formation but addresses some drawbacks of this approach by being integrated into an agent-based model that considers heterogeneous agents interacting with one another. PM-LARMA successfully reproduced the agricultural land tenure regimes and land rental prices observed in the Pampas. Including adaptive, heterogeneous and interacting agents was critical to this success. We conclude that agent-based and traditional economic models can be successfully combined to capture complex emergent land tenure and market price patterns while simplifying the overall model design.Fil: Bert, Federico Esteban. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: North, Michael. Argonne National Laboratory; Estados UnidosFil: Rovere, Santiago. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Tatara, Erik. Argonne National Laboratory; Estados UnidosFil: Macal, Charles. Argonne National Laboratory; Estados UnidosFil: Podestá, Guillermo. University of Miami; Estados UnidosElsevier2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/16808Bert, Federico Esteban; North, Michael; Rovere, Santiago; Tatara, Erik; Macal, Charles; et al.; Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas; Elsevier; Environmental Modelling & Software; 71; 9-2015; 97-1101364-8152enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.envsoft.2015.05.005info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1364815215001528info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:45:46Zoai:ri.conicet.gov.ar:11336/16808instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:45:47.237CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
title Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
spellingShingle Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
Bert, Federico Esteban
Agricultural Land Markets
Land Tenure
Argentina
Agent-Based Modelling
title_short Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
title_full Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
title_fullStr Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
title_full_unstemmed Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
title_sort Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas
dc.creator.none.fl_str_mv Bert, Federico Esteban
North, Michael
Rovere, Santiago
Tatara, Erik
Macal, Charles
Podestá, Guillermo
author Bert, Federico Esteban
author_facet Bert, Federico Esteban
North, Michael
Rovere, Santiago
Tatara, Erik
Macal, Charles
Podestá, Guillermo
author_role author
author2 North, Michael
Rovere, Santiago
Tatara, Erik
Macal, Charles
Podestá, Guillermo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Agricultural Land Markets
Land Tenure
Argentina
Agent-Based Modelling
topic Agricultural Land Markets
Land Tenure
Argentina
Agent-Based Modelling
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Land exchange through rental transactions is a central process in agricultural systems. The land tenure regimes emerge from land transactions and structural and land use changes are tied to the dynamics of the land market. We introduce LARMA, a LAnd Rental MArket model embedded within the Pampas Model (PM), an agent-based model of Argentinean agricultural systems. LARMA produces endogenous formation of land rental prices. LARMA relies on traditional economic concepts for LRP formation but addresses some drawbacks of this approach by being integrated into an agent-based model that considers heterogeneous agents interacting with one another. PM-LARMA successfully reproduced the agricultural land tenure regimes and land rental prices observed in the Pampas. Including adaptive, heterogeneous and interacting agents was critical to this success. We conclude that agent-based and traditional economic models can be successfully combined to capture complex emergent land tenure and market price patterns while simplifying the overall model design.
Fil: Bert, Federico Esteban. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: North, Michael. Argonne National Laboratory; Estados Unidos
Fil: Rovere, Santiago. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Tatara, Erik. Argonne National Laboratory; Estados Unidos
Fil: Macal, Charles. Argonne National Laboratory; Estados Unidos
Fil: Podestá, Guillermo. University of Miami; Estados Unidos
description Land exchange through rental transactions is a central process in agricultural systems. The land tenure regimes emerge from land transactions and structural and land use changes are tied to the dynamics of the land market. We introduce LARMA, a LAnd Rental MArket model embedded within the Pampas Model (PM), an agent-based model of Argentinean agricultural systems. LARMA produces endogenous formation of land rental prices. LARMA relies on traditional economic concepts for LRP formation but addresses some drawbacks of this approach by being integrated into an agent-based model that considers heterogeneous agents interacting with one another. PM-LARMA successfully reproduced the agricultural land tenure regimes and land rental prices observed in the Pampas. Including adaptive, heterogeneous and interacting agents was critical to this success. We conclude that agent-based and traditional economic models can be successfully combined to capture complex emergent land tenure and market price patterns while simplifying the overall model design.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/16808
Bert, Federico Esteban; North, Michael; Rovere, Santiago; Tatara, Erik; Macal, Charles; et al.; Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas; Elsevier; Environmental Modelling & Software; 71; 9-2015; 97-110
1364-8152
url http://hdl.handle.net/11336/16808
identifier_str_mv Bert, Federico Esteban; North, Michael; Rovere, Santiago; Tatara, Erik; Macal, Charles; et al.; Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas; Elsevier; Environmental Modelling & Software; 71; 9-2015; 97-110
1364-8152
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.envsoft.2015.05.005
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1364815215001528
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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