Simulating the prospects of technological catching up

Detalhes bibliográficos
Autor(a) principal: Caldas, José Castro
Data de Publicação: 2009
Outros Autores: Godinho, Manuel Mira, Mamede, Ricardo Paes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/43194
https://doi.org/10.1080/10438590802233651
Resumo: Local increasing returns associated with static and dynamic scale effects, knowledge spillovers, polarization effects and the distance that separates different regions are among the most important driving forces behind the dynamics of economic and technological convergence. This paper puts forward a computational simulation model that seeks to integrate these factors. The modelling exercise was designed in order to achieve a better understanding of the relationship between the aspects underlying the specific trajectories of regional technological accumulation and the aggregate convergence/divergence patterns stemming from these trajectories. In particular, the role of history and geography in the dynamics of technological convergence is emphasized.
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spelling Simulating the prospects of technological catching upTechnological convergenceKnowledge spilloversPolarization effectsLocal increasing returns associated with static and dynamic scale effects, knowledge spillovers, polarization effects and the distance that separates different regions are among the most important driving forces behind the dynamics of economic and technological convergence. This paper puts forward a computational simulation model that seeks to integrate these factors. The modelling exercise was designed in order to achieve a better understanding of the relationship between the aspects underlying the specific trajectories of regional technological accumulation and the aggregate convergence/divergence patterns stemming from these trajectories. In particular, the role of history and geography in the dynamics of technological convergence is emphasized.Taylor & Francis2009-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/43194http://hdl.handle.net/10316/43194https://doi.org/10.1080/10438590802233651https://doi.org/10.1080/10438590802233651eng1043-85991476-8364http://dx.doi.org/10.1080/10438590802233651Caldas, José CastroGodinho, Manuel MiraMamede, Ricardo Paesinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-06-29T10:03:12Zoai:estudogeral.uc.pt:10316/43194Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:50:31.654029Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Simulating the prospects of technological catching up
title Simulating the prospects of technological catching up
spellingShingle Simulating the prospects of technological catching up
Caldas, José Castro
Technological convergence
Knowledge spillovers
Polarization effects
title_short Simulating the prospects of technological catching up
title_full Simulating the prospects of technological catching up
title_fullStr Simulating the prospects of technological catching up
title_full_unstemmed Simulating the prospects of technological catching up
title_sort Simulating the prospects of technological catching up
author Caldas, José Castro
author_facet Caldas, José Castro
Godinho, Manuel Mira
Mamede, Ricardo Paes
author_role author
author2 Godinho, Manuel Mira
Mamede, Ricardo Paes
author2_role author
author
dc.contributor.author.fl_str_mv Caldas, José Castro
Godinho, Manuel Mira
Mamede, Ricardo Paes
dc.subject.por.fl_str_mv Technological convergence
Knowledge spillovers
Polarization effects
topic Technological convergence
Knowledge spillovers
Polarization effects
description Local increasing returns associated with static and dynamic scale effects, knowledge spillovers, polarization effects and the distance that separates different regions are among the most important driving forces behind the dynamics of economic and technological convergence. This paper puts forward a computational simulation model that seeks to integrate these factors. The modelling exercise was designed in order to achieve a better understanding of the relationship between the aspects underlying the specific trajectories of regional technological accumulation and the aggregate convergence/divergence patterns stemming from these trajectories. In particular, the role of history and geography in the dynamics of technological convergence is emphasized.
publishDate 2009
dc.date.none.fl_str_mv 2009-09
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/43194
http://hdl.handle.net/10316/43194
https://doi.org/10.1080/10438590802233651
https://doi.org/10.1080/10438590802233651
url http://hdl.handle.net/10316/43194
https://doi.org/10.1080/10438590802233651
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1043-8599
1476-8364
http://dx.doi.org/10.1080/10438590802233651
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dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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