National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
Autor(a) principal: | |
---|---|
Data de Publicação: | 2010 |
Outros Autores: | , , |
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. |
id |
RCAP_26809326da870df3f97994083fa4ae08 |
---|---|
oai_identifier_str |
oai:repositorio.ul.pt:10400.5/2853 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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:RCAAP2024-11-20T19:29:41Zoai:repositorio.ul.pt:10400.5/2853Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T19:29:41Repositório 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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817549531436285952 |