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Determinants Of Investment Flows Into Emerging Markets

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  • Carlos Andrés Amaya G.
  • Peter Rowland

Abstract

The understanding of foreign investment flows is important for emerging market policy makers, since such flows make up a considerable part of the balance of payments, and since such flows tend to be very volatile. Sudden stops or reversals of investment flows have, indeed, played an important part in recent emerging market crises. This paper presents a study of emerging market investment flows and their determinants. Using first a relatively simple cross-country framework to study investment flows in the year 2000 and then a panel-data framework to study such flows for the time period 1980 to 1997, a number of variables emerge as significant in determining investment flows. In general, large open economies with a high growth rate attract more flows than small closed economies with a sluggish growth rate. In addition, the results suggest that sound fiscal policies together with moderate debt levels results in higher levels of foreign investment. The business cycle in the developed countries also has an impact on such flows.

Suggested Citation

  • Carlos Andrés Amaya G. & Peter Rowland, 2004. "Determinants Of Investment Flows Into Emerging Markets," Borradores de Economia 2334, Banco de la Republica.
  • Handle: RePEc:col:000094:002334
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    References listed on IDEAS

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    5. Kemme, David M. & Parikh, Bhavik & Steigner, Tanja, 2020. "Tax Morale and International Tax Evasion," Journal of World Business, Elsevier, vol. 55(3).
    6. Adrian Martinez-Osorio & Deicy J. Cristiano-Botia & Celina Gaitan-Maldonado & Diego A. Sandoval-Herrera, 2019. "La Inversión Directa de Colombia en el Exterior (IDCE) y su renta: determinantes y dinámica reciente," Borradores de Economia 1068, Banco de la Republica de Colombia.

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    More about this item

    Keywords

    Foreign direct investment;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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