Do women vote for women and men for men? Do visible minorities vote for minority candidates, and white voters for white candidates? And what happens when a minority woman appears on the ballot? This study tests for the presence of gender and ethnic affinity voting in the Toronto mayoral election of 2014, where Olivia Chow was the only woman and only visible minority candidate among the three major contenders. Our analysis, which draws on a survey of eligible Toronto voters, is the first to examine the interactive effects of sex and ethnicity on vote choice in Canada in the context of a non-partisan election and in a non-experimental manner. We find strong evidence of ethnic affinity voting and show that Chow received stronger support from ethnic Chinese voters than from other minority groups. Our results also reveal that gender was related to vote choice but only when connected with race.
The importance of incumbent evaluations for voting and the existence of an incumbency effect are wellestablished. However, there is limited research on the effect incumbency has on voters' engagement with election campaigns. This paper examines whether the use of incumbency as a cue when voting is associated with there being less interest in an election and whether campaign period attentiveness affects incumbent support. We consider these questions using data from the Toronto Election Study, a large-N, two-wave survey of Torontonians conducted around the time of the 2014 Toronto Municipal Election. We find that attentiveness, on its own, does not make voters more likely to support an incumbent or non-incumbent candidate. However, among individuals with high knowledge, attentiveness decreases the likelihood of supporting the incumbent, as opposed to a non-incumbent candidate.
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.
This article compares the design and implementation of density for benefit agreements (DBAs), a form of density "bonusing" in Toronto and Vancouver. The cities identify many of the same priorities for benefits secured from developers, but in practice they prioritize widely different benefits. By comparing practice in Toronto and Vancouver, this article demonstrates how institutional differences and the decentralization of policy decision-making in major cities can affect urban planning decision-making. Sommaire: Cet article compare la mise en oeuvre et l'utilisation d'ententes sur l'accroissement de la densit e en echange d'avantages a Toronto et a Vancouver de 2007 a 2011. Ces deux villes mettent en oeuvre de telles ententes d'une façon similaire et elles identifient essentiellement les mêmes priorit es en ce qui concerne les avantages obtenus par des promoteurs. En pratique, cependant, les avantages auxquels elles donnent la priorit e sont très diff erents. En faisant une comparaison entre Toronto et Vancouver, l'article montre comment les diff erences institutionnelles et la d ecentralisation de la prise de d ecisions de politiques dans une m etropole peuvent avoir des r epercussions sur la prise de d ecisions en matière de planification urbaine.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.