Simulating the prospects of technological catching up

Bibliographic Details
Main Author: Caldas, José Castro
Publication Date: 2009
Other Authors: Godinho, Manuel Mira, Mamede, Ricardo Paes
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/43194
https://doi.org/10.1080/10438590802233651
Summary: 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/articlehttps://hdl.handle.net/10316/43194https://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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2021-06-29T10:03:12Zoai:estudogeral.uc.pt:10316/43194Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:06:31.326298Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10316/43194
https://hdl.handle.net/10316/43194
https://doi.org/10.1080/10438590802233651
https://doi.org/10.1080/10438590802233651
url https://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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