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Trade Specialisation And Economic Convergence: Evidence From Two Eastern European Countries

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  • Christophe Rault

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  • Guglielmo Maria Caporale
  • Robert Sova
  • Anamaria Sova

Abstract

This paper analyses trade specialisation dynamics in two Eastern European countries (Romania and Bulgaria - EEC-2) vis-??-vis the core EU member states (EU-15) over the period 1990-2006. Specifically, we focus on whether there is a shift towards intra-industry trade leading to economic convergence and technological catch-up. We use recently developed static (FEM, REM and FEVD) and dynamic (GMM) panel data methods which take into account possible heterogeneity. Our empirical results indicate that intra-industry trade has indeed increased, but it is of the vertical rather than the horizontal type, resulting in complementary rather than competitive production patterns.

Suggested Citation

  • Christophe Rault & Guglielmo Maria Caporale & Robert Sova & Anamaria Sova, 2009. "Trade Specialisation And Economic Convergence: Evidence From Two Eastern European Countries," William Davidson Institute Working Papers Series wp959, William Davidson Institute at the University of Michigan.
  • Handle: RePEc:wdi:papers:2009-959
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    References listed on IDEAS

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    1. Christophe Rault & Robert Sova & Ana Maria Sova, 2009. "Modelling international trade flows between CEEC and OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1547-1554.
    2. Guglielmo Caporale & Christophe Rault & Robert Sova & Anamaria Sova, 2009. "On the bilateral trade effects of free trade agreements between the EU-15 and the CEEC-4 countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(2), pages 189-206, July.
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    4. Eleonora Cavallaro & Marcella Mulino, 2008. "Vertical Innovation and Catching-Up: Implications of EU Integration for CEECs-5," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(3), pages 265-279, August.
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    Cited by:

    1. Dumitru Miron & Alina Mihaela Dima & Simona Vasilache, 2010. "Models Of The Intra-Regional Trade Influence On Economic Sustainable Development In Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 12(27), pages 27-35, February.
    2. repec:ksp:journ1:v:4:y:2017:i:3:p:247-262 is not listed on IDEAS
    3. Marius-Razvan Surugiu & Camelia Surugiu, 2012. "Intra-industry trade in Romania: analysis of the automobile parts and accessories sector," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 4(1/2), pages 166-179.
    4. Kurtovic, Safet & Halili, Blerim & Maxhuni, Nehat, 2016. "Liberalization of Trade with Leading Trade Partners: Some Evidence from Bosnia and Herzegovina," MPRA Paper 75053, University Library of Munich, Germany, revised 04 Nov 2016.
    5. Eleonora Cavallaro & Piero Esposito & Alessia Matano & Marcella Mulino, 2013. "Technological Catching Up, Quality of Exports, and Competitiveness: A Sectoral Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(6), pages 4-21, November.
    6. Irena Aokić & Zlatan Fröhlich & Ivana Rašić Bakarić, 2016. "The impact of the economic crisis on regional disparities in Croatia," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(1), pages 179-195.
    7. Nuno Carlos LEITÃO & Marius-Razvan SURUGIU & Camelia SURUGIU, 2014. "Romanian intra-industry trade: a panel data approach," EuroEconomica, Danubius University of Galati, issue 2(33), pages 7-18, November.

    More about this item

    Keywords

    gravity models; panel data models; trade specialisation; comparative advantage;

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F15 - International Economics - - Trade - - - Economic Integration
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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