Development of an agent-based model and its application to the estimation of global carbon emissions
- Autores
- Castesana, Paula S.; Puliafito, Salvador Enrique
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- With the purpose of studying the influence of population dynamics and economic growth on energy consumption and carbon emissions, an endogenous economic growth model is proposed incorporating physical and human capital and using an Agent-Based Model. The model can test different development strategies by identifying the key factors exist-ing at the agent level that may speed up or slow down a given path, and therefore it is an interesting tool to develop and to test mitigation and/or adaptation measures. Favorable scenarios may be possible in societies that encourage invest-ment in human capital through education and technological development, provided that this is accompanied by a reduc-tion in consumption rates and the creation of physical capital by the population. Moreover, this model shows that hu-man capital resulting from education not only raises productivity, but also plays a key role in the development and adoption of new technologies that drive long-term growth.
Fil: Castesana, Paula S.. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina - Materia
-
AGENT-BASED MODELING
CARBON EMISSIONS
ECONOMIC GROWTH
ENERGY CONSUMPTION
POPULATION DYNAMICS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/7187
Ver los metadatos del registro completo
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Development of an agent-based model and its application to the estimation of global carbon emissionsCastesana, Paula S.Puliafito, Salvador EnriqueAGENT-BASED MODELINGCARBON EMISSIONSECONOMIC GROWTHENERGY CONSUMPTIONPOPULATION DYNAMICShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1With the purpose of studying the influence of population dynamics and economic growth on energy consumption and carbon emissions, an endogenous economic growth model is proposed incorporating physical and human capital and using an Agent-Based Model. The model can test different development strategies by identifying the key factors exist-ing at the agent level that may speed up or slow down a given path, and therefore it is an interesting tool to develop and to test mitigation and/or adaptation measures. Favorable scenarios may be possible in societies that encourage invest-ment in human capital through education and technological development, provided that this is accompanied by a reduc-tion in consumption rates and the creation of physical capital by the population. Moreover, this model shows that hu-man capital resulting from education not only raises productivity, but also plays a key role in the development and adoption of new technologies that drive long-term growth.Fil: Castesana, Paula S.. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; ArgentinaFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; ArgentinaScientific Research2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7187Castesana, Paula S.; Puliafito, Salvador Enrique; Development of an agent-based model and its application to the estimation of global carbon emissions; Scientific Research; Low Carbon Economy; 4; 12-2013; 24-342158-7019enginfo:eu-repo/semantics/altIdentifier/url/http://file.scirp.org/Html/40351.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.4236/lce.2013.44A003info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:19:49Zoai:ri.conicet.gov.ar:11336/7187instacron: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:34982025-10-15 15:19:50.152CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Development of an agent-based model and its application to the estimation of global carbon emissions |
title |
Development of an agent-based model and its application to the estimation of global carbon emissions |
spellingShingle |
Development of an agent-based model and its application to the estimation of global carbon emissions Castesana, Paula S. AGENT-BASED MODELING CARBON EMISSIONS ECONOMIC GROWTH ENERGY CONSUMPTION POPULATION DYNAMICS |
title_short |
Development of an agent-based model and its application to the estimation of global carbon emissions |
title_full |
Development of an agent-based model and its application to the estimation of global carbon emissions |
title_fullStr |
Development of an agent-based model and its application to the estimation of global carbon emissions |
title_full_unstemmed |
Development of an agent-based model and its application to the estimation of global carbon emissions |
title_sort |
Development of an agent-based model and its application to the estimation of global carbon emissions |
dc.creator.none.fl_str_mv |
Castesana, Paula S. Puliafito, Salvador Enrique |
author |
Castesana, Paula S. |
author_facet |
Castesana, Paula S. Puliafito, Salvador Enrique |
author_role |
author |
author2 |
Puliafito, Salvador Enrique |
author2_role |
author |
dc.subject.none.fl_str_mv |
AGENT-BASED MODELING CARBON EMISSIONS ECONOMIC GROWTH ENERGY CONSUMPTION POPULATION DYNAMICS |
topic |
AGENT-BASED MODELING CARBON EMISSIONS ECONOMIC GROWTH ENERGY CONSUMPTION POPULATION DYNAMICS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
With the purpose of studying the influence of population dynamics and economic growth on energy consumption and carbon emissions, an endogenous economic growth model is proposed incorporating physical and human capital and using an Agent-Based Model. The model can test different development strategies by identifying the key factors exist-ing at the agent level that may speed up or slow down a given path, and therefore it is an interesting tool to develop and to test mitigation and/or adaptation measures. Favorable scenarios may be possible in societies that encourage invest-ment in human capital through education and technological development, provided that this is accompanied by a reduc-tion in consumption rates and the creation of physical capital by the population. Moreover, this model shows that hu-man capital resulting from education not only raises productivity, but also plays a key role in the development and adoption of new technologies that drive long-term growth. Fil: Castesana, Paula S.. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina |
description |
With the purpose of studying the influence of population dynamics and economic growth on energy consumption and carbon emissions, an endogenous economic growth model is proposed incorporating physical and human capital and using an Agent-Based Model. The model can test different development strategies by identifying the key factors exist-ing at the agent level that may speed up or slow down a given path, and therefore it is an interesting tool to develop and to test mitigation and/or adaptation measures. Favorable scenarios may be possible in societies that encourage invest-ment in human capital through education and technological development, provided that this is accompanied by a reduc-tion in consumption rates and the creation of physical capital by the population. Moreover, this model shows that hu-man capital resulting from education not only raises productivity, but also plays a key role in the development and adoption of new technologies that drive long-term growth. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 |
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/11336/7187 Castesana, Paula S.; Puliafito, Salvador Enrique; Development of an agent-based model and its application to the estimation of global carbon emissions; Scientific Research; Low Carbon Economy; 4; 12-2013; 24-34 2158-7019 |
url |
http://hdl.handle.net/11336/7187 |
identifier_str_mv |
Castesana, Paula S.; Puliafito, Salvador Enrique; Development of an agent-based model and its application to the estimation of global carbon emissions; Scientific Research; Low Carbon Economy; 4; 12-2013; 24-34 2158-7019 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://file.scirp.org/Html/40351.html info:eu-repo/semantics/altIdentifier/doi/10.4236/lce.2013.44A003 info:eu-repo/semantics/altIdentifier/doi/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Scientific Research |
publisher.none.fl_str_mv |
Scientific Research |
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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1846083347005046784 |
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13.22299 |