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Political Attitudes and Behaviour in a Non-Partisan Environment

Toronto 2014

Bibliographic Data

ID6236752
AuthorsR Michael Mcgregor (0000-0003-3845-0042, Toronto Metropolitan University, corresponding author), Aaron A Moore (0000-0002-6106-4943, University of Winnipeg, corresponding author), Laura B Stephenson (0000-0003-3526-8624, Western University, corresponding author)
Year2016
Volume49
Issue2
Pages311-333
Publication date2016-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCanadian Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0008-4239 • E-ISSN: 1744-9324
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0008423916000573
OpenAlexW2508270383
LanguageEN
Citations received13
References cited16

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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Unique citing works13
Citations per year1,44
Citation span2017 - 2025 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 13
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