Hostname: page-component-74656f9884-kv2lp Total loading time: 0 Render date: 2026-11-05T18:09:44.788Z Has data issue: false hasContentIssue false

Candidate Filtering: The Strategic Use of Electoral Manipulations in Russia

Published online by Cambridge University Press:  22 March 2021

David Szakonyi*
Affiliation:
George Washington University, Washington, DC, USA and Higher School of Economics, Moscow, Russian Federation
Rights & Permissions [Opens in a new window]

Abstract

Incumbents have many tools to tip elections in their favor, yet little is known about how they choose between strategies. By comparing various tactics, this article argues that electoral malpractice centered on manipulating institutions offers the greatest effectiveness while shielding incumbents from public anger and criminal prosecution. To demonstrate this, the study focuses on a widespread institutional tactic: preventing candidates from accessing the ballot. First, in survey experiments, Russian voters respond less negatively to institutional manipulations, such as rejecting candidates, than to blatant fraud, such as ballot box stuffing. Next, using evidence from 25,935 Russian mayoral races, the article shows that lower societal and implementation costs enable incumbents to strategically reject candidacies from credible challengers and then reduce their electoral vulnerability. In all, the technology behind specific manipulations helps determine when and how incumbents violate electoral integrity.

Information

Type
Article
Copyright
Copyright © The Author(s) 2021. Published by Cambridge University Press
Figure 0

Table 1. Experiment wording and treatment assignment

Figure 1

Figure 1. Survey experimental evidence – plotsNote: Panel A shows the mean level of anger over electoral integrity per control or treatment group (1 = Not at all Angry; 5 = Very Angry). Those who saw the elections as free and fair were coded 0. Panel B shows the mean likelihood of participating in a collective action in protest over electoral integrity (1 = Not Likely to Participate; 5 = Very Likely to Participate).

Figure 2

Table 2. Survey experimental evidence – regression results

Figure 3

Figure 2. Rejection rate over timeNote: this figure shows the percentage of candidates that were rejected in municipal elections each year from 2005–2019.

Figure 4

Table 3. Rejected candidates, by party

Figure 5

Table 4. Candidate descriptive statistics

Figure 6

Table 5. Candidate rejections

Supplementary material: Link

Szakonyi Dataset

Link
Supplementary material: PDF

Szakonyi supplementary material

Appendix

Download Szakonyi supplementary material(PDF)
PDF 195 KB