Voter Turnout in Portugal

Detalhes bibliográficos
Autor(a) principal: Manoel, Liliana
Data de Publicação: 2022
Outros Autores: Costa, Ana Cristina, Cabral, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/146026
Resumo: Manoel, L., Costa, A. C., & Cabral, P. (2022). Voter Turnout in Portugal: A Geographical Perspective. Papers in Applied Geography, 8(1), 88-111. https://doi.org/10.1080/23754931.2021.1958251
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spelling Voter Turnout in PortugalA Geographical PerspectiveGeographical Information Systemsemiparametric geographically weighted regression (SGWR)Sociodemographic variablesspatial analysisspatial variabilityGeography, Planning and DevelopmentUrban StudiesEarth and Planetary Sciences (miscellaneous)SDG 16 - Peace, Justice and Strong InstitutionsManoel, L., Costa, A. C., & Cabral, P. (2022). Voter Turnout in Portugal: A Geographical Perspective. Papers in Applied Geography, 8(1), 88-111. https://doi.org/10.1080/23754931.2021.1958251The decline of voter turnout in Portugal was confirmed in the legislative election of 2015. The unquestionable democratic value associated with the act of voting, leads to the discussion of this issue, and emphasizes the need for additional investigation. Particularly, it is crucial to identify the characteristics of citizens who vote, to better understand the phenomenon and think about solutions. This work identified the most significant sociodemographic variables in explaining voter turnout in continental Portugal and described the relationship between those variables and voter turnout, including the geographical variation existing across the municipalities. A Semiparametric Geographically Weighted Regression (SGWR) model enabled the investigation of local variations in turnout values, simultaneously considering that its relationship with some variables might vary over space. Results show that turnout is influenced by a set of sociodemographic variables. While some variables affect turnout differently over the country (percentage of family cores with children aged less than 15, and percentage of owner-occupied houses), others affect it uniformly (percentage of graduated residents, percentage of classic families, and distance to Lisbon or Oporto–the nearest). These results suggest the use of a semiparametric approach to better understand turnout and for further research on voting issues.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNManoel, LilianaCosta, Ana CristinaCabral, Pedro2022-12-06T22:12:39Z2022-02-012022-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24application/pdfhttp://hdl.handle.net/10362/146026eng2375-4931PURE: 33396751https://doi.org/10.1080/23754931.2021.1958251info: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:RCAAP2024-03-11T05:26:55Zoai:run.unl.pt:10362/146026Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:26.026612Repositório 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 Voter Turnout in Portugal
A Geographical Perspective
title Voter Turnout in Portugal
spellingShingle Voter Turnout in Portugal
Manoel, Liliana
Geographical Information System
semiparametric geographically weighted regression (SGWR)
Sociodemographic variables
spatial analysis
spatial variability
Geography, Planning and Development
Urban Studies
Earth and Planetary Sciences (miscellaneous)
SDG 16 - Peace, Justice and Strong Institutions
title_short Voter Turnout in Portugal
title_full Voter Turnout in Portugal
title_fullStr Voter Turnout in Portugal
title_full_unstemmed Voter Turnout in Portugal
title_sort Voter Turnout in Portugal
author Manoel, Liliana
author_facet Manoel, Liliana
Costa, Ana Cristina
Cabral, Pedro
author_role author
author2 Costa, Ana Cristina
Cabral, Pedro
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Manoel, Liliana
Costa, Ana Cristina
Cabral, Pedro
dc.subject.por.fl_str_mv Geographical Information System
semiparametric geographically weighted regression (SGWR)
Sociodemographic variables
spatial analysis
spatial variability
Geography, Planning and Development
Urban Studies
Earth and Planetary Sciences (miscellaneous)
SDG 16 - Peace, Justice and Strong Institutions
topic Geographical Information System
semiparametric geographically weighted regression (SGWR)
Sociodemographic variables
spatial analysis
spatial variability
Geography, Planning and Development
Urban Studies
Earth and Planetary Sciences (miscellaneous)
SDG 16 - Peace, Justice and Strong Institutions
description Manoel, L., Costa, A. C., & Cabral, P. (2022). Voter Turnout in Portugal: A Geographical Perspective. Papers in Applied Geography, 8(1), 88-111. https://doi.org/10.1080/23754931.2021.1958251
publishDate 2022
dc.date.none.fl_str_mv 2022-12-06T22:12:39Z
2022-02-01
2022-02-01T00:00:00Z
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/10362/146026
url http://hdl.handle.net/10362/146026
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2375-4931
PURE: 33396751
https://doi.org/10.1080/23754931.2021.1958251
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 24
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
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
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