New geography in old territories: a multivariate approach based on Portuguese regions
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/28741 https://doi.org/10.1080/21681376.2020.1860807 |
Resumo: | This paper studies the strongly asymmetrical distribution of the population, quality of life and economic development in Portugal. It identifies homogeneous areas supported by an analysis of competitiveness, cohesion and environmental quality dimensions. Drawing on a multivariate approach, its findings reveal differences in terms of development across the country. The study identified groups of regions with common characteristics that go beyond the standard north–south or coastal–inland distinctions. Metropolitan areas and export-oriented regions are clearly distinguishable from the remainder of the country. Economic agglomeration indicators, as gross domestic product per capita, population density, resident foreign population and youth index, among others, are those that reveal greater diversity across the country. |
id |
RCAP_1b5a09a1513c7501415ae453d8714f20 |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/28741 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
New geography in old territories: a multivariate approach based on Portuguese regionsterritorial asymmetry;regional development;multivariate approach;classification methodsThis paper studies the strongly asymmetrical distribution of the population, quality of life and economic development in Portugal. It identifies homogeneous areas supported by an analysis of competitiveness, cohesion and environmental quality dimensions. Drawing on a multivariate approach, its findings reveal differences in terms of development across the country. The study identified groups of regions with common characteristics that go beyond the standard north–south or coastal–inland distinctions. Metropolitan areas and export-oriented regions are clearly distinguishable from the remainder of the country. Economic agglomeration indicators, as gross domestic product per capita, population density, resident foreign population and youth index, among others, are those that reveal greater diversity across the country.2021-01-22T18:40:51Z2021-01-222021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28741http://hdl.handle.net/10174/28741https://doi.org/10.1080/21681376.2020.1860807porConceição Rego , Isabel Joaquina Ramos , Maria Raquel Lucas , Maria da Saudade Baltazar & Andreia Dionísio (2021) New geography in old territories: a multivariate approach based on Portuguese regions, Regional Studies, Regional Science, 8:1, 25-50, DOI: 10.1080/21681376.2020.1860807https://www.tandfonline.com/doi/full/10.1080/21681376.2020.1860807CICS. NOVA. UÉvoramcpr@uevora.ptiar@uevora.ptmrlucas@uevora.ptbaltazar@uevora.ptandreia@uevora.pt642Rego, ConceiçãoRamos, Isabel JoaquinaLucas, Maria RaquelBaltazar, Maria da SaudadeDionísio, Andreiainfo: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:RCAAP2024-01-03T19:25:32Zoai:dspace.uevora.pt:10174/28741Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:41.154334Repositório 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 |
New geography in old territories: a multivariate approach based on Portuguese regions |
title |
New geography in old territories: a multivariate approach based on Portuguese regions |
spellingShingle |
New geography in old territories: a multivariate approach based on Portuguese regions Rego, Conceição territorial asymmetry; regional development; multivariate approach; classification methods |
title_short |
New geography in old territories: a multivariate approach based on Portuguese regions |
title_full |
New geography in old territories: a multivariate approach based on Portuguese regions |
title_fullStr |
New geography in old territories: a multivariate approach based on Portuguese regions |
title_full_unstemmed |
New geography in old territories: a multivariate approach based on Portuguese regions |
title_sort |
New geography in old territories: a multivariate approach based on Portuguese regions |
author |
Rego, Conceição |
author_facet |
Rego, Conceição Ramos, Isabel Joaquina Lucas, Maria Raquel Baltazar, Maria da Saudade Dionísio, Andreia |
author_role |
author |
author2 |
Ramos, Isabel Joaquina Lucas, Maria Raquel Baltazar, Maria da Saudade Dionísio, Andreia |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Rego, Conceição Ramos, Isabel Joaquina Lucas, Maria Raquel Baltazar, Maria da Saudade Dionísio, Andreia |
dc.subject.por.fl_str_mv |
territorial asymmetry; regional development; multivariate approach; classification methods |
topic |
territorial asymmetry; regional development; multivariate approach; classification methods |
description |
This paper studies the strongly asymmetrical distribution of the population, quality of life and economic development in Portugal. It identifies homogeneous areas supported by an analysis of competitiveness, cohesion and environmental quality dimensions. Drawing on a multivariate approach, its findings reveal differences in terms of development across the country. The study identified groups of regions with common characteristics that go beyond the standard north–south or coastal–inland distinctions. Metropolitan areas and export-oriented regions are clearly distinguishable from the remainder of the country. Economic agglomeration indicators, as gross domestic product per capita, population density, resident foreign population and youth index, among others, are those that reveal greater diversity across the country. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-22T18:40:51Z 2021-01-22 2021-01-01T00:00:00Z |
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/10174/28741 http://hdl.handle.net/10174/28741 https://doi.org/10.1080/21681376.2020.1860807 |
url |
http://hdl.handle.net/10174/28741 https://doi.org/10.1080/21681376.2020.1860807 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Conceição Rego , Isabel Joaquina Ramos , Maria Raquel Lucas , Maria da Saudade Baltazar & Andreia Dionísio (2021) New geography in old territories: a multivariate approach based on Portuguese regions, Regional Studies, Regional Science, 8:1, 25-50, DOI: 10.1080/21681376.2020.1860807 https://www.tandfonline.com/doi/full/10.1080/21681376.2020.1860807 CICS. NOVA. UÉvora mcpr@uevora.pt iar@uevora.pt mrlucas@uevora.pt baltazar@uevora.pt andreia@uevora.pt 642 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
|
_version_ |
1799136668341501952 |