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Primary Conditions for Institutional Trust in Ukraine during the Conflict

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  • Tamilina, Larysa

Abstract

Using Ukraine as an example, this study explores how performance-based and ideational factors interact in shaping institutional trust under wartime conditions. Fuzzy-set Qualitative Comparative Analysis (fsQCA) is employed to analyse their joint presence in configurations associated with high and low levels of trust in state institutions. The findings suggest that trust is primarily shaped by performance indicators—economic satisfaction, perceived corruption, and personal safety—while ideational factors such as national identity, war-related ideologies, and democratic values play a secondary role. However, misalignment with dominant ideational narratives tend to exacerbate distrust during conflict, especially when institutional performance is perceived as weak. These results are used to argue that a divergence may appear between regime and institutional legitimacy in conflict-affected regions.

Suggested Citation

  • Tamilina, Larysa, 2025. "Primary Conditions for Institutional Trust in Ukraine during the Conflict," MPRA Paper 126536, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:126536
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    References listed on IDEAS

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    1. Pierre Bocquillon & Suzanne Doyle & Toby S. James & Ra Mason & Soul Park & Matilde Rosina, 2024. "The effects of wars: lessons from the war in Ukraine," Policy Studies, Taylor & Francis Journals, vol. 45(3-4), pages 261-281, May.
    2. Thorvaldur Gylfason & Eduard Hochreiter & Tadeusz Kowalski, 2022. "Different Choices, Divergent Paths: Poland and Ukraine," wiiw Research Reports 465, The Vienna Institute for International Economic Studies, wiiw.
    3. Li, Jianghong & Akaliyski, Plamen & Heisig, Jan Paul & Löbl, Simon & Minkov, Michael, 2022. "Flexible societies excelled in saving lives in the first phase of the COVID-19 pandemic," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13, pages 1-13.
    4. Gwendolyn Sasse & Alice Lackner, 2018. "War and identity: the case of the Donbas in Ukraine," Post-Soviet Affairs, Taylor & Francis Journals, vol. 34(2-3), pages 139-157, May.
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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior
    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies

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