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Affective Polarization in the Canadian Party System, 1988–2021

Published online by Cambridge University Press:  26 April 2023

Richard Johnston*
Affiliation:
Department of Political Science, University of British Columbia, C425-866 Main Mall, Vancouver, BC V6T 1Z1, Canada
*
*Corresponding author. E-mail: richard.johnston@ubc.ca
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Abstract

This article brings three decades of broadly consistent survey data on survey respondents’ feelings about the parties as evidence of affective polarization. It also presents evidence about policy differences among the parties and makes an explicit link between elite and mass data with multilevel modelling. The article shows that affective polarization is real and also demonstrates its connection to the ideological landscape. But it also shows that conceptual categories originating in the United States must be adapted to Canada's multiparty system and to the continuing contrasts between Quebec and the rest of Canada. It suggests that accounts of Canada's twentieth-century party system may not apply to the twenty-first century.

Résumé

Résumé

Le présent article présente trois décennies de données d'enquête largement cohérentes sur les sentiments des répondants à l'égard des partis comme preuve de la polarisation affective. Il présente également des preuves de différences politiques entre les partis et établit un lien explicite entre les données de l'élite et de la masse avec une modélisation à plusieurs niveaux. L'article montre que la polarisation affective est réelle et démontre également son lien avec le paysage idéologique. Mais il révèle également que les catégories conceptuelles provenant des États-Unis doivent être adaptées au système multipartite du Canada et aux contrastes persistants entre le Québec et le reste du Canada. Elle suggère que les comptes rendus du système de partis du XXe siècle au Canada peuvent ne pas s'appliquer au XXIe siècle.

Information

Type
Research Article/Étude originale
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Canadian Political Science Association (l’Association canadienne de science politique) and/et la Société québécoise de science politique
Figure 0

Figure 1 Dispersion of party ratings, 1988–2021Note: Dispersion indicator is the standard deviation. Underlying data include all respondents in each region.

Figure 1

Figure 2 Density plots for party ratings, 1988–2021Note: Entries for each party and year are kernel density plots. Kernel = Epanechnikov. Half-width of kernel = 10. Underlying data include all respondents in each region.

Figure 2

Table 1 Ideological Location and Party Affect

Figure 3

Figure 3 Partisan sources of feelings, 1988–2021Note: Entries are mean thermometer ratings and associated 95 per cent confidence intervals. Colours and labels indicate identification group. Cells are keyed to the party being evaluated.

Figure 4

Figure 4 Left-right positioning of the parties, 1945–2015Note: Plots are parties’ left-right position from MARPOR data (Volkens et al., 2018).

Figure 5

Figure 5 Parties’ ideological positions as sources of feelingsNote: Columns are organized by the party being evaluated. Party indications within each plot show conditional effects for each identification group. Horizontal axes reflect effect locations and confidence intervals. Estimation is by restricted maximum likelihood (REML) multilevel regression with degrees of freedom for the t-distribution calculated by the residual method.

Figure 6

Figure 6 Conditioning of left-right policy impact by partisan intensityNote: Parties being evaluated are NDP (left) and Conservative (right). Evaluation by Liberal identifiers and nonpartisans only. Quebec respondents excluded. Horizontal axes reflect effect locations and confidence intervals. Estimation is by restricted maximum likelihood (REML) multilevel regression with degrees of freedom for the t-distribution calculated by the residual method.

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