event
International Relations/Political Science
Thursday
20
March
Daniel L. Tavana

Opposition: Identity and Ideology in Authoritarian Elections

Professor Daniel L. Tavana
, -

Geneva Graduate Institute, Maison de la paix, room S12

 

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Opposition: Identity and Ideology in Authoritarian Elections

How do opposition elites succeed in authoritarian elections? Existing theories of authoritarian politics suggest a pivotal role for elections in enhancing the survival of incumbent dictators. Yet, in many contexts, opposition elites attract considerable support and constrain the policymaking authorities of these dictators. This article presents a theory of endogenous opposition that traces the electoral success of opposition elites to the strategic use of symbolic ideological appeals, or campaign appeals that cast politicians as allies of particular ideological movements. I present quantitative and qualitative evidence in support of my argument from Kuwait. I show that minority elites who use symbolic ideological appeals are more likely to capture voters from other minority groups. Once elected, these legislators are more likely to oppose the ruling family in the legislature. These findings challenge existing theories of authoritarian politics and point to ideology as an understudied source of opposition success in authoritarian elections.

 

Professor Daniel L. Tavana

Daniel L. Tavana is an Assistant Professor in the Department of Political Science at Penn State. His research interests include a focus on elections, identity, and comparative political behavior, as well as the dynamics of political opposition in authoritarian regimes. He studies these issues in the Middle East and North Africa, where he uses a variety of methods and sources of data to study electoral politics. His research is motivated by a broader interest in understanding the origins of contemporary patterns of mass politics across the region. He received his Ph.D. from the Department of Politics at Princeton University in September 2021.

Link to paper

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