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Unterschiedliche Einflüsse beschleunigen Wachstum in den MOEL

Author

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  • Vasily Astrov

    (The Vienna Institute for International Economic Studies)

Abstract

2004 beschleunigte sich das Wirtschaftswachstum in fast allen MOEL beträchtlich. Überwiegend war es von einer robusten Expansion der Binnennachfrage getragen. Die neuen EU-Länder profitierten auch von der relativ guten Konjunktur in der EU 15, die EU-Beitrittskandidatenländer Bulgarien und Rumänien von der Steigerung der Zuflüsse an ausländischen Investitionen. In den westlichen Balkanländern erhöhte sich die politische Stabilität, und die Aussichten für die EU-Integration verbesserten sich. Russland und die Ukraine schließlich waren vor allem durch die hohen Weltmarktpreise von Energie und Metallen begünstigt.

Suggested Citation

  • Vasily Astrov, 2005. "Unterschiedliche Einflüsse beschleunigen Wachstum in den MOEL," WIFO Monatsberichte (monthly reports), WIFO, vol. 78(5), pages 353-371, May.
    • Handle: RePEc:wfo:monber:y:2005:i:5:p:353-371
    Note: With English abstract.
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    Cited by:

    1. Peter Huber, 2009. "FAMO – Fachkräftemonitoring. Regelmäßige Erhebung des Angebots und des Bedarfs an Fachkräften in der Grenzregion Ostösterreichs mit der Slowakei. FAMO I: Wirtschaftliche Entwicklung in der CENTROPE-Re," WIFO Studies, WIFO, number 37425, March.
    2. Peter Huber & Stefan Ederer, 2011. "FAMO – Fachkräftemonitoring. Regelmäßige Erhebung des Angebots und des Bedarfs an Fachkräften in der Grenzregion Ostösterreichs mit der Slowakei. FAMO II: Regionale und gesamtwirtschaftliche Entwicklu," WIFO Studies, WIFO, number 42874, March.

    More about this item

    Keywords

    MOEL CEEC Ost-Mitteleuropa 2004;

    JEL classification:

    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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