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The Determinants of Foreign Direct Investment in Transition Economies

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  • Alan A. Bevan
  • Saul Estrin

Abstract

Using a panel dataset containing information on FDI flows from market to transition economies, we establish the determinants of FDI inflows to Central and Eastern Europe: country risk, unit labour costs, host market size and gravity factors. In turn, we find country risk to be influenced by private sector development, industrial development, the government balance, reserves and corruption. By introducing structural shift dummy variables for key announcements of progress in EU accession we show that announcements have impacted directly upon FDI receipts but have not influenced country credit ratings. The Agenda 2000 announcement by the European Commission induced a bifurcation between the 'first wave' transition countries and the remainder of our sample. The underlying dynamics of the process illustrate that increases in FDI improve country credit ratings with a lag, hence increasing future FDI receipts. Consequently we suggest that the accession progress has the potential to induce virtuous cycles for the frontrunners but may have serious consequences for the accession laggards.

Suggested Citation

  • Alan A. Bevan & Saul Estrin, 2000. "The Determinants of Foreign Direct Investment in Transition Economies," William Davidson Institute Working Papers Series 342, William Davidson Institute at the University of Michigan.
  • Handle: RePEc:wdi:papers:2000-342
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    References listed on IDEAS

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    More about this item

    Keywords

    foreign direct investment; EU accession; transition economies;
    All these keywords.

    JEL classification:

    • F2 - International Economics - - International Factor Movements and International Business
    • P27 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Performance and Prospects
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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