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Understanding Public Support for Policies Aimed at Gender Parity in Politics: A Cross-National Experimental Study

Published online by Cambridge University Press:  22 January 2024

Andrea Carson*
Affiliation:
La Trobe University, Corner of Plenty Rd and Kingsbury Drive, Bundoora, Vic, 3086, Australia
Timothy B. Gravelle
Affiliation:
Laurier Institute for the Study of Public Opinion and Policy, Wilfrid Laurier University, 75 University Ave. West, Waterloo, Ontario N2L 3C5, Canada
Lía Acosta Rueda
Affiliation:
University of Toronto, 172 St. George St, Ontario M5R 0A3, Canada
Leah Ruppanner
Affiliation:
University of Melbourne, Grattan St, Parkville, Vic, 3010, Australia
*
Corresponding author: Andrea Carson; Email: a.carson@latrobe.edu.au
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Abstract

Across the globe, women are underrepresented in elected politics. The study's case countries of Australia (ranked 33), Canada (61) and the United States (66) rank poorly for women's political representation. Drawing on role strain and gender-mainstreaming theories and applying large-scale survey experiments, we examine public opinion on non-quota mechanisms to bolster women's political participation. The experimental design manipulates the politician's gender and level of government (federal/local) before asking about non-quota supports to help the politician. We find public support for policies aimed at lessening work–family role strain is higher for a woman politician; these include a pay raise, childcare subsidies and housework allowances. This support is amplified among women who are presented with a woman politician in our experiment, providing evidence of a gender-affinity effect. The study's findings contribute to scholarship on gender equality and point to gender-mainstreaming mechanisms to help mitigate the gender gap in politics.

Résumé

Résumé

Les femmes sont sous-représentées dans la politique électorale partout au monde. Les pays représentés dans cette étude, l'Australie (classée 33), le Canada (61) et les États-Unis (66), se classent mal en ce qui concerne la représentation politique des femmes. En empruntant à la théorie des contraintes de rôle (« role strain ») et de l'intégration du genre (« gender mainstreaming »), et en appliquant des méthodes expérimentales avec des sondages en ligne incorporant une manipulation expérimentale menées en parallèle aux États-Unis, au Canada, et en Australie, nous examinons l'opinion publique sur les mécanismes hors quotas visant à renforcer la participation politique des femmes. L'expérience manipule le genre de la politicienne/du politicien et son niveau de gouvernement (fédéral/local) avant de poser des questions sur les politiques hors quotas visant à aider la politicienne/le politicien. Nous constatons que le soutien du public pour des politiques visant à réduire les tensions entre le travail et la famille est plus élevé pour les politiciennes; celles-ci incluent l'augmentation du salaire, des allocations pour la garde d'enfants et pour les travaux ménagers. Ce soutien est plus élevé chez les femmes qui lisent la description d'une politicienne dans notre sondage, ce qui témoigne d'un effet d'affinité de genre. Les résultats de l’étude contribuent aux recherches sur l’égalité des sexes et mettent en avant des mécanismes d'intégration du genre pour aider à atténuer l’écart entre les sexes en politique.

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 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. 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. Structure of the experimentally manipulated vignette.Source: Authors

Figure 1

Figure 2 (Panel A). Coefficient plot: Agreement with non-quota policies.Notes: OLS point estimates and 95 per cent (α = 0.05) confidence intervals are plotted. Dark grey, circle-shaped point estimates are from the main effects only model specification testing H1 and H2. Light grey, diamond-shaped point estimates are from the interactive (Jane × Woman) model specification testing gender affinity bias.

Figure 2

Figure 2 (Panel B). Coefficient plot: Agreement with non-quota policies.Notes: OLS point estimates and 95 per cent (α = 0.05) confidence intervals are plotted. Dark grey, circle-shaped point estimates are from the main effects only model specification testing H1 and H2. Light grey, diamond-shaped point estimates are from the interactive (Jane × Woman) model specification testing gender affinity bias.

Figure 3

Figure 3. Agreement with politician receiving a pay raise.Notes: Predicted values are calculated from the OLS estimates for the interactive model specification (Model 1.2 in the online appendix). Error bars correspond to 83 per cent confidence intervals; non-overlapping confidence intervals thus correspond to a significant difference in predicted values with α = 0.05.

Figure 4

Figure 4. Agreement with politician receiving a housekeeping allowance.Notes: Predicted values are calculated from the OLS estimates for the interactive model specification (Model 2.2 in the online appendix). Error bars correspond to 83 per cent confidence intervals; non-overlapping confidence intervals thus correspond to a significant difference in predicted values with α = 0.05.

Figure 5

Figure 5. Agreement with politician receiving a childcare allowance.Notes: Predicted values are calculated from the OLS estimates for the interactive model specification (Model 3.2 in the online appendix). Error bars correspond to 83 per cent confidence intervals; non-overlapping confidence intervals thus correspond to a significant difference in predicted values with α = 0.05.

Figure 6

Figure 6. Agreement with holding more online meetings.Notes: Predicted values are calculated from the OLS estimates for the interactive model specification (Model 4.2 in the online appendix). Error bars correspond to 83 per cent confidence intervals; non-overlapping confidence intervals thus correspond to a significant difference in predicted values with α = 0.05.

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