The principal components of electoral regimes: separating autocracies from pseudo-democracies.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Royal Society Open Science Pub Date : 2024-10-09 eCollection Date: 2024-10-01 DOI:10.1098/rsos.240262
Karoline Wiesner, Samuel Bien, Matthew C Wilson
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Abstract

A critical issue for society today is the emergence and decline of democracy worldwide. It is unclear, however, how democratic features, such as elections and civil liberties, influence this change. Democracy indices, which are the standard tool to study this question, are based on the a priori assumption that improvement in any individual feature strengthens democracy overall. We show that this assumption does not always hold. We use the V-Dem dataset for a quantitative study of electoral regimes worldwide during the twentieth century. We find a so-far overlooked trade-off between election capability and civil liberties. In particular, we identify a threshold in the democratization process at which the correlation between election capability and civil liberties flips from negative to positive. Below this threshold, we can thus clearly separate two kinds of non-democratic regimes: autocracies that govern through tightly controlled elections and regimes in which citizens are free but under less certainty-a distinction that existing democracy indices cannot make.

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选举制度的主要组成部分:将专制政体与伪民主政体区分开来。
当今社会的一个关键问题是全球民主的兴衰。然而,目前还不清楚选举和公民自由等民主特征如何影响这一变化。民主指数是研究这一问题的标准工具,它基于一个先验假设,即任何单个特征的改善都会加强整体民主。我们的研究表明,这一假设并不总是成立的。我们利用 V-Dem 数据集对 20 世纪全球选举制度进行了定量研究。我们发现,选举能力与公民自由之间存在一种迄今被忽视的权衡。特别是,我们确定了民主化进程中的一个临界点,在这个临界点上,选举能力与公民自由之间的相关性由负转正。因此,在这个临界点以下,我们可以清楚地区分两种非民主政权:一种是通过严格控制的选举进行统治的专制政权,另一种是公民享有自由但不那么确定的政权--现有的民主指数无法做出这种区分。
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来源期刊
Royal Society Open Science
Royal Society Open Science Multidisciplinary-Multidisciplinary
CiteScore
6.00
自引率
0.00%
发文量
508
审稿时长
14 weeks
期刊介绍: Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review. The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.
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