National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach

Detalhes bibliográficos
Autor(a) principal: Lopes, João C.
Data de Publicação: 2010
Outros Autores: Araújo, Tanya, Dias, João, Amaral, João F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/2853
Resumo: Cluster analysis has been widely used in an Input-Output framework, with the main objective of uncover the structure of production, in order to better identify which sectors are strongly connected with each other and choose the key sectors of a national or regional economy. There are many empirical studies determining potential clusters from interindustry flows directly, or from their corresponding technical (demand) or market (supply) coefficients, most of them applying multivariate statistical techniques. In this paper, after identifying clusters this way, and since it may be expected that strongly (interindustry) connected sectors share a similar growth and development path, the structure of sectoral dynamics is uncovered, by means of a stochastic geometry technique based on the correlations of industry outputs in a given period of time. An application is made, using Portuguese input-output data, and the results do not clearly support this expectation.
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spelling National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approachClustersInput-Output AnalysisIndustry Output DynamicsCluster analysis has been widely used in an Input-Output framework, with the main objective of uncover the structure of production, in order to better identify which sectors are strongly connected with each other and choose the key sectors of a national or regional economy. There are many empirical studies determining potential clusters from interindustry flows directly, or from their corresponding technical (demand) or market (supply) coefficients, most of them applying multivariate statistical techniques. In this paper, after identifying clusters this way, and since it may be expected that strongly (interindustry) connected sectors share a similar growth and development path, the structure of sectoral dynamics is uncovered, by means of a stochastic geometry technique based on the correlations of industry outputs in a given period of time. An application is made, using Portuguese input-output data, and the results do not clearly support this expectation.ISEG - Departamento de EconomiaRepositório da Universidade de LisboaLopes, João C.Araújo, TanyaDias, JoãoAmaral, João F.2011-01-24T16:21:11Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/2853engJoão C. Lopes ... [et al.] .2010. "National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach". Instituto Superior de Economia e Gestão. DE Working Papers; nº 20/2010/DE/UECE0874-4548info: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:RCAAP2023-12-03T01:30:51Zoai:www.repository.utl.pt:10400.5/2853Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:50:49.715996Repositório 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 National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
title National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
spellingShingle National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
Lopes, João C.
Clusters
Input-Output Analysis
Industry Output Dynamics
title_short National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
title_full National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
title_fullStr National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
title_full_unstemmed National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
title_sort National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
author Lopes, João C.
author_facet Lopes, João C.
Araújo, Tanya
Dias, João
Amaral, João F.
author_role author
author2 Araújo, Tanya
Dias, João
Amaral, João F.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Lopes, João C.
Araújo, Tanya
Dias, João
Amaral, João F.
dc.subject.por.fl_str_mv Clusters
Input-Output Analysis
Industry Output Dynamics
topic Clusters
Input-Output Analysis
Industry Output Dynamics
description Cluster analysis has been widely used in an Input-Output framework, with the main objective of uncover the structure of production, in order to better identify which sectors are strongly connected with each other and choose the key sectors of a national or regional economy. There are many empirical studies determining potential clusters from interindustry flows directly, or from their corresponding technical (demand) or market (supply) coefficients, most of them applying multivariate statistical techniques. In this paper, after identifying clusters this way, and since it may be expected that strongly (interindustry) connected sectors share a similar growth and development path, the structure of sectoral dynamics is uncovered, by means of a stochastic geometry technique based on the correlations of industry outputs in a given period of time. An application is made, using Portuguese input-output data, and the results do not clearly support this expectation.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
2011-01-24T16:21:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/2853
url http://hdl.handle.net/10400.5/2853
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv João C. Lopes ... [et al.] .2010. "National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach". Instituto Superior de Economia e Gestão. DE Working Papers; nº 20/2010/DE/UECE
0874-4548
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ISEG - Departamento de Economia
publisher.none.fl_str_mv ISEG - Departamento de Economia
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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