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Varieties of trajectories in the European Union and in the peripheral countries of the EU (In French)

Author

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  • Sophie BRANA
  • Dalila NICET-CHENAF

Abstract

This article analysis diversity of growth path for the UE-27 countries, the other Eastern European countries which developed a partnership with UE like Ukraine or Russia, and for the Mediterranean countries (Morocco, Algeria, Tunisia, Turkey) which signed the 1995 Barcelona agreements. The first part of this article categorizes dynamic growth path for each periphery of the UE. These peripheries are identified by principal component analyses and fixed effects models. In a second part, we try to explain the diversity of these trajectories. Analysis concluded on the fact that the degree of international insertion appears as fundamental variable.

Suggested Citation

  • Sophie BRANA & Dalila NICET-CHENAF, 2008. "Varieties of trajectories in the European Union and in the peripheral countries of the EU (In French)," Cahiers du GREThA (2007-2019) 2008-12, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    • Handle: RePEc:grt:wpegrt:2008-12
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    File URL: http://cahiersdugretha.u-bordeaux.fr/2008/2008-12.pdf
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    More about this item

    Keywords

    Convergence; Economic Growth; International insertion; Comparative studies of countries; Model with panel data.;
    All these keywords.

    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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