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Asylum seekers in the machinery of the state: administrative capacity vs. preferences. Recognition rates in EU member states

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  • Pierre Georges Van Wolleghem
  • Hakan G. Sicakkan

Abstract

Studies have sought to explain variation in protection recognition rates between EU member states with, however, limited explanatory power. Surprisingly, few have contemplated the role of the administration, despite it being at the centre of the process through which asylum claims are examined. We posit that recognition rates are significantly affected by administrative capacity, although the administration's action may be mitigated by political factors. Our findings show that administrative effectiveness and experience in asylum matters yield higher recognition rates. We show that government preferences and the overall political context affect protection recognition, too. Importantly, we also find that the mechanisms at play are different if we consider the different forms of protection.

Suggested Citation

  • Pierre Georges Van Wolleghem & Hakan G. Sicakkan, 2023. "Asylum seekers in the machinery of the state: administrative capacity vs. preferences. Recognition rates in EU member states," European Union Politics, , vol. 24(2), pages 348-369, June.
    • Handle: RePEc:sae:eeupol:v:24:y:2023:i:2:p:348-369
    DOI: 10.1177/14651165221135113
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    References listed on IDEAS

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    1. Eric Neumayer, 2004. "Asylum Destination Choice," European Union Politics, , vol. 5(2), pages 155-180, June.
    2. Hatton, Timothy J., 2021. "Asylum Recognition Rates in Europe: Persecution, Policies and Performance," IZA Discussion Papers 14840, Institute of Labor Economics (IZA).
    3. Hakan G Sicakkan, 2008. "Political Asylum and the Multi-Level, Plural Forms of Sovereignty in Europe," EUROSPHERE Working Paper Series (EWP) 7, Eurospheres project.
    4. Gundacker, Lidwina & Kosyakova, Yuliya & Schneider, Gerald, 2021. "Global norms, regional practices: Taste-based and statistical discrimination in German asylum decision-making," Working Papers 05, University of Konstanz, Cluster of Excellence "The Politics of Inequality. Perceptions, Participation and Policies".
    5. Victor Motta, 2019. "Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 54(4), pages 508-518, September.
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