Ordinary people’s regime preferences in the MENA: the case of Tunisia during the democratic transition

This article problematizes regime preferences of ordinary people in MENA, typically framed as a choice between democracy or authoritarianism. We offer an empirically grounded political regime preferences ordinary people hold. In particular, we propose a two-dimensional approach to studying regime choices, focusing on attitudes towards religion in politics and the competitiveness of the political system. Using Latent Class Analysis (LCA) on a novel nationwide survey conducted in Tunisia, we identify five types of regime preferences. In addition to the four regime types already identified by the literature, secular democracy, Islamic democracy, secular authoritarianism, and religious authoritarianism, we identified a new preference: competitive authoritarianism. Overall, our findings suggest that most citizens prefer secular, religious or competitive authoritarian regimes over secular democracy or Islamic democracy in the then transitioning Tunisia where economic and political instability engulfed the country. We compare our results with our measure based on a direct regime preference in a closed-ended question. Additionally, we test several hypotheses derived from the literature on the effect of religiosity on our new political regime preferences: Praying increases support for Islamic democracy and competitive authoritarianism, while decreasing support for secular authoritarianism. Quran reading has no statistically significant effect.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29525112
Primary Topic
Political Conflict and Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ordinary people’s regime preferences in the MENA: the case of Tunisia during the democratic transition

Figshare
Political Conflict and Governance
article

Ordinary people’s regime preferences in the MENA: the case of Tunisia during the democratic transition

article en

Abstract

This article problematizes regime preferences of ordinary people in MENA, typically framed as a choice between democracy or authoritarianism. We offer an empirically grounded political regime preferences ordinary people hold. In particular, we propose a two-dimensional approach to studying regime choices, focusing on attitudes towards religion in politics and the competitiveness of the political system. Using Latent Class Analysis (LCA) on a novel nationwide survey conducted in Tunisia, we identify five types of regime preferences. In addition to the four regime types already identified by the literature, secular democracy, Islamic democracy, secular authoritarianism, and religious authoritarianism, we identified a new preference: competitive authoritarianism. Overall, our findings suggest that most citizens prefer secular, religious or competitive authoritarian regimes over secular democracy or Islamic democracy in the then transitioning Tunisia where economic and political instability engulfed the country. We compare our results with our measure based on a direct regime preference in a closed-ended question. Additionally, we test several hypotheses derived from the literature on the effect of religiosity on our new political regime preferences: Praying increases support for Islamic democracy and competitive authoritarianism, while decreasing support for secular authoritarianism. Quran reading has no statistically significant effect.

Figshare
Peace, Justice and strong institutions
Openalex Percentile: Top 48%
Political Conflict and Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.