Electoral integrity matters: how electoral process conditions the relationship between political losing and political trust

Author:

Mauk MarleneORCID

Abstract

AbstractThis contribution adds a new perspective to the debate on electoral integrity by asking how electoral integrity affects the way in which election results translate into citizen attitudes towards the political system. It introduces a causal mechanism that links political losing to political trust via evaluations of electoral fairness: citizens who voted for the losing camp are more likely to view the electoral process as unfair than citizens who voted for the winning camp, resulting in political distrust. It further suggests that the effects of political losing on political trust depend on the level of electoral integrity. In conditions where the elections were conducted in a free and fair manner, even those who voted for the losing camp have little reason to suspect foul play and therefore political losing should barely affect perceptions of the electoral process. Whenever there are actual indications of electoral malpractice, however, political losers have much more reason to doubt the integrity of the electoral process than those who are content with the outcome of the election. The contribution makes use of a unique dataset that ex-post harmonizes survey data from three cross-national survey projects (Asian Barometer Survey, European Social Survey, Latinobarómetro) and macro-level data from the Varieties-of-Democracy Project to cover 45 democracies in Europe, East Asia, and Latin America. Using multi-level modeling, it finds that political losing indeed decreases political trust indirectly via perceptions of electoral fairness. Confirming its key proposition, the empirical analysis shows that political losing has a weaker effect on political trust in countries where electoral integrity is high.

Funder

GESIS – Leibniz-Institut für Sozialwissenschaften e.V.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

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