爱尔兰选民对女性候选人有偏见吗?来自2020年大选的证据

IF 0.8 4区 社会学 Q3 POLITICAL SCIENCE Irish Political Studies Pub Date : 2021-10-02 DOI:10.1080/07907184.2021.1980651
L. Keenan, Mary C. Brennan
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引用次数: 1

摘要

摘要爱尔兰是世界上第一个在STV选举制度下实行立法性别配额的国家。自2016年以来,该配额要求各政党确保参加大选的候选人中至少有30%是女性。由于选举制度的性质,即以候选人为中心,如果选民中存在选民偏见,配额的影响可能会受到限制。虽然2016年第一次选举的配额最初的收益在2020年大选中得以保持,又有一名女性当选为DáilÉireann,但头条数字可能具有误导性。在这次地震选举中,来自各个政治派别的大量知名女性失去了席位,而男性同事保留了席位,这表明女性候选人的评价可能与男性候选人不同。利用2020年爱尔兰全国选举研究中自我报告的选民态度,我们调查了选民中是否存在对女性的潜在偏见。我们测试了这种偏见是否会影响女性参选的比例和女性获胜的比例,以及女性个人的选举成功率。总的来说,我们没有发现任何证据表明选民偏见影响了2020年爱尔兰大选中女性的结果。
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Are Irish voters biased against female candidates? Evidence from the 2020 general election
ABSTRACT Ireland is the first country in the world to apply a legislative gender quota under an STV electoral system. Since 2016, the quota has required parties to ensure that at least thirty percent of their candidates running in the general election are women. Due to the nature of the electoral system, namely that it is candidate-centred, the impact of the quota has the potential to be limited if voter bias is present among the electorate. While the initial gains from the quota’s first election in 2016 were maintained at the 2020 general election, with one more woman elected to Dáil Éireann, the headline figures may be misleading. In this earthquake election, a significant number of high-profile women from across the political spectrum lost their seats, while male colleagues retained theirs, suggesting that female candidates may have been evaluated differently from their male counterparts. Using self-reported voter attitudes from the 2020 Irish National Election Study, we investigate whether there is an underlying bias against women amongst voters. We test whether such a bias has an impact on the share of women running and the share of women winning, as well as individual women’s level of electoral success. Overall, we find no evidence that voter bias affected outcomes for women at the 2020 Irish general election.
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来源期刊
Irish Political Studies
Irish Political Studies POLITICAL SCIENCE-
CiteScore
2.20
自引率
28.60%
发文量
34
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