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Regional representation in the European Parliament: Parliamentary Questions on Geographical Indication

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  • Martijn Huysmans
  • Niels Gheyle

Abstract

The European Parliament represents the citizens of the European Union. However, individual Members of the European Parliament (MEPs) also face incentives to represent more narrow regional economic interests. Geographical Indications such as Feta or Champagne are an ideal policy area to study regional representation. Their defined regions provide clear incentives and a reliable measurement of regional representation. This article codes and analyses the written questions on Geographical Indications posed by MEPs during the period 2009-2019. Descriptively, we find that MEPs often mention products from their region. We also find that MEPs focus their questions on contentious products and on politicized free trade agreements. Quantitatively, logit regressions provide evidence for more regional representation by MEPs from countries with regional lists for EP elections. We conclude with the implications of our research for representation in the European Union, and the idea of transnational lists.

Suggested Citation

  • Martijn Huysmans & Niels Gheyle, 2023. "Regional representation in the European Parliament: Parliamentary Questions on Geographical Indication," Working Papers 2309, Utrecht School of Economics.
    • Handle: RePEc:use:tkiwps:2309
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    References listed on IDEAS

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    1. Christian Staat & Colin R. Kuehnhanss, 2017. "Outside Earnings, Electoral Systems and Legislative Effort in the European Parliament," Journal of Common Market Studies, Wiley Blackwell, vol. 55(2), pages 368-386, March.
    2. Martijn Huysmans & Johan Swinnen, 2019. "No Terroir in the Cold? A Note on the Geography of Geographical Indications," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(2), pages 550-559, June.
    3. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    4. Riccardo Crescenzi & Fabrizio De Filippis & Mara Giua & Cristina Vaquero-Piñeiro, 2022. "Geographical Indications and local development: the strength of territorial embeddedness," Regional Studies, Taylor & Francis Journals, vol. 56(3), pages 381-393, March.
    5. Isabelle Guinaudeau & Olivier Costa, 2022. "Issue Politicization in the European Parliament. An Analysis of Parliamentary Questions for Oral Answer (2004–19)," Journal of Common Market Studies, Wiley Blackwell, vol. 60(3), pages 507-525, May.
    6. Adina Akbik & Marta Migliorati, 2023. "Between Ideology and Nationality: Drivers of Legislative Oversight in the European Parliament's Economic Dialogues," Journal of Common Market Studies, Wiley Blackwell, vol. 61(4), pages 1026-1046, July.
    7. Martijn Huysmans, 2022. "Exporting protection: EU trade agreements, geographical indications, and gastronationalism," Review of International Political Economy, Taylor & Francis Journals, vol. 29(3), pages 979-1005, May.
    8. Dirk De Bièvre & Arlo Poletti, 2020. "Towards Explaining Varying Degrees of Politicization of EU Trade Agreement Negotiations," Politics and Governance, Cogitatio Press, vol. 8(1), pages 243-253.
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    Keywords

    European Parliament; Regional Representation; Parliamentary Questions; Geographical Indications; Trade Agreements;
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