The geographical distribution of Portuguese business incubators: an empirical approach

Detalhes bibliográficos
Autor(a) principal: Brás, Gonçalo Rodrigues
Data de Publicação: 2019
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/42953
Resumo: This study attempts to develop an ordered logit regression model to identify the determinants of the geographical distribution of business incubators (BIs) in Portuguese regions in 2015. The results show that Portuguese BIs are more likely to be geographically concentrated in regions where the number of patent applications is higher, usually in the larger regions (particularly in metropolitan areas), and mostly in regions with a university. The study clearly demonstrates the importance of Portuguese universities to the location of BIs.
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spelling The geographical distribution of Portuguese business incubators: an empirical approachbusiness incubatorsuniversitiesentrepreneurial ecosystemsPortuguese regionsordered logit modelThis study attempts to develop an ordered logit regression model to identify the determinants of the geographical distribution of business incubators (BIs) in Portuguese regions in 2015. The results show that Portuguese BIs are more likely to be geographically concentrated in regions where the number of patent applications is higher, usually in the larger regions (particularly in metropolitan areas), and mostly in regions with a university. The study clearly demonstrates the importance of Portuguese universities to the location of BIs.Repositório ComumBrás, Gonçalo Rodrigues2023-01-04T11:08:39Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/42953eng10.17811/ebl.8.3.2019.147-155info: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:RCAAP2023-01-20T12:15:12Zoai:comum.rcaap.pt:10400.26/42953Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:29:36.438116Repositório 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 The geographical distribution of Portuguese business incubators: an empirical approach
title The geographical distribution of Portuguese business incubators: an empirical approach
spellingShingle The geographical distribution of Portuguese business incubators: an empirical approach
Brás, Gonçalo Rodrigues
business incubators
universities
entrepreneurial ecosystems
Portuguese regions
ordered logit model
title_short The geographical distribution of Portuguese business incubators: an empirical approach
title_full The geographical distribution of Portuguese business incubators: an empirical approach
title_fullStr The geographical distribution of Portuguese business incubators: an empirical approach
title_full_unstemmed The geographical distribution of Portuguese business incubators: an empirical approach
title_sort The geographical distribution of Portuguese business incubators: an empirical approach
author Brás, Gonçalo Rodrigues
author_facet Brás, Gonçalo Rodrigues
author_role author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Brás, Gonçalo Rodrigues
dc.subject.por.fl_str_mv business incubators
universities
entrepreneurial ecosystems
Portuguese regions
ordered logit model
topic business incubators
universities
entrepreneurial ecosystems
Portuguese regions
ordered logit model
description This study attempts to develop an ordered logit regression model to identify the determinants of the geographical distribution of business incubators (BIs) in Portuguese regions in 2015. The results show that Portuguese BIs are more likely to be geographically concentrated in regions where the number of patent applications is higher, usually in the larger regions (particularly in metropolitan areas), and mostly in regions with a university. The study clearly demonstrates the importance of Portuguese universities to the location of BIs.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2023-01-04T11:08:39Z
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/10400.26/42953
url http://hdl.handle.net/10400.26/42953
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.17811/ebl.8.3.2019.147-155
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.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
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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
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