TY - JOUR
T1 - Voter Turnout in Portugal
T2 - A Geographical Perspective
AU - Manoel, Liliana
AU - Costa, Ana Cristina
AU - Cabral, Pedro
N1 - 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
PY - 2022/2/1
Y1 - 2022/2/1
N2 - The 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.
AB - The 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.
KW - Geographical Information System
KW - semiparametric geographically weighted regression (SGWR)
KW - Sociodemographic variables
KW - spatial analysis
KW - spatial variability
UR - http://www.scopus.com/inward/record.url?scp=85112309450&partnerID=8YFLogxK
U2 - 10.1080/23754931.2021.1958251
DO - 10.1080/23754931.2021.1958251
M3 - Article
AN - SCOPUS:85112309450
SN - 2375-4931
VL - 8
SP - 88
EP - 111
JO - Papers in Applied Geography
JF - Papers in Applied Geography
IS - 1
ER -