Voter Turnout in Portugal
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
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/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 |
id |
RCAP_e57431288a5a103114588080f53721af |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/146026 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799138115781132288 |