Feminism within parties: Implications for political elite evaluations and policy attitudes

Author:

Oceno Marzia1ORCID,Chojnacki Lauren2ORCID

Affiliation:

1. Department of Politics and International Relations, Florida International University, Miami, FL, USA

2. Doctoral Candidate, Department of Political Science, Vanderbilt University, Nashville, TN, USA

Abstract

Although gender-related attitudes have played an increasingly larger role in recent U.S. elections, the implications of feminist identity beyond electoral politics remain largely understudied. This paper examines how the interaction of feminist and party ID impacts political elite evaluations and policy attitudes that are not gender-based by relying on an original survey fielded as part of the 2020 CES and the 2016 ANES. Our analyses show that feminists of both parties give the highest feminist ratings to co-partisan elites. However, while Democratic feminists rate Democratic elites as more feminist than Republican elites, Republican feminists rate the two similarly. Furthermore, within both parties, feminist self-labeling is associated with increased support for policies that advance social equity and inclusion. This gap in policy preferences between feminists and non-feminists largely persists across ideologies—among liberal, moderate, and conservative members of both parties. These findings suggest that feminist identifiers constitute a distinct group within each party, and fostering feminism across political leanings may strengthen public support for more equitable and inclusive policy goals and outcomes.

Publisher

SAGE Publications

Subject

Political Science and International Relations,Public Administration,Sociology and Political Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3