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Political Attitudes and Behaviour in a Non-Partisan Environment

Toronto 2014

Dados Bibliográficos

ID6236752
AutoresR Michael Mcgregor (0000-0003-3845-0042, Toronto Metropolitan University, autor correspondente), Aaron A Moore (0000-0002-6106-4943, University of Winnipeg, autor correspondente), Laura B Stephenson (0000-0003-3526-8624, Western University, autor correspondente)
Ano2016
Volume49
Fascículo2
Páginas311-333
Data de publicação2016-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCanadian Journal of Political Science (JOURNAL)
Identificadores do periódicoISSN: 0008-4239 • E-ISSN: 1744-9324
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0008423916000573
OpenAlexW2508270383
IdiomaEN
Citações recebidas13
Referências citadas16

Voting behaviour in municipal elections is understudied in Canada. Existing research is limited by the type of data (aggregate instead of individual-level) and the cases evaluated (partisan when most contests are non-partisan). The objective of this study is to contribute to this literature by using individual-level data about a non-partisan election. To do so, we use data from the Toronto Election Study, conducted during the 2014 election. Our research goals are to evaluate whether a standard approach to understanding vote choice (the multi-stage explanatory model) is applicable in a non-partisan, municipal-level contest, and to determine the correlates of vote choice in the 2014 Toronto mayoral election in particular. Our analysis reveals that, although it was a formally non-partisan contest, voters tended to view the mayoral candidates in both ideological and partisan terms. We also find that a standard vote choice model provides valuable insight into voter preferences at the municipal level

CONTEST · Demographic economics · Economics · General election · Group voting ticket · Ideology · Political economy · Political science · Politics · Public economics · Spoilt vote · Voting · Voting behavior · Electoral Systems and Political Participation · Gender Politics and Representation · Law · Public Administration · Social Media and Politics

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Obras citantes distintas13
Citações por ano1,44
Intervalo de citações2017 - 2025 (9)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 13
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