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FDI and Economic Growth Relationship Based on Cross-Country Comparison

Author

Listed:
  • Faruk G rsoy

    (VInternational Black Sea University, Tbilisi, Georgia)

  • Ahmet Sekreter

    (VInternational Black Sea University, Tbilisi, Georgia)

  • H seyin Kalyoncu

    (Melik ah University, Kayseri, Turkey)

Abstract

This paper aims to investigate empirically the impact of FDI on economic growth for Azerbaijan, Kyrgyz Republic, Kazakhstan, Tajikistan, Turkmenistan, and Uzbekistan over the period 1997-2010. The Johansen cointegration and Granger causality tests are used in order to analyze the causal relationship between FDI and economic growth. It is crucial to see the directions of causality between two variables for the policy makers to encourage private sectors. The cointegration test results indicated that FDI and Economic Growth variables are cointegrated for Azerbaijan and Turkmenistan. By using Granger Causality test we found that FDI causes GDP for Azerbaijan and bidirectional causality is observed for Turkmenistan.

Suggested Citation

  • Faruk G rsoy & Ahmet Sekreter & H seyin Kalyoncu, 2013. "FDI and Economic Growth Relationship Based on Cross-Country Comparison," International Journal of Economics and Financial Issues, Econjournals, vol. 3(2), pages 519-524.
  • Handle: RePEc:eco:journ1:2013-02-24
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    References listed on IDEAS

    as
    1. Luiz R. de Mello Jr., 1997. "Foreign Direct Investment in Developing Countries: A Selective Survey," Studies in Economics 9701, School of Economics, University of Kent.
    2. de Mello, Luiz R, Jr, 1999. "Foreign Direct Investment-Led Growth: Evidence from Time Series and Panel Data," Oxford Economic Papers, Oxford University Press, vol. 51(1), pages 133-151, January.
    3. Gordon H. HANSON, 2001. "Should Countries Promote Foreign Direct Investment?," G-24 Discussion Papers 9, United Nations Conference on Trade and Development.
    4. Luiz de Mello, 1997. "Foreign direct investment in developing countries and growth: A selective survey," Journal of Development Studies, Taylor & Francis Journals, vol. 34(1), pages 1-34.
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    Cited by:

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    2. Maoyong Cheng & Yutong Yao & Yu Meng, 2023. "Political uncertainty and foreign direct investment—Evidence from the government official vacancy in China's cities," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 527-559, July.
    3. Abdel-Latif, Hany, 2019. "FDI response to political shocks: What can the Arab Spring tell us?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    4. Yilmaz BAYAR, 2014. "Savings, Foreign Direct Investment Inflows and Economic Growth in Emerging Asian Economies," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(8), pages 1106-1122, August.
    5. Assad Ullah & Xinshun Zhao & Muhammad Abdul Kamal & Jiajia Zheng, 2022. "Environmental regulations and inward FDI in China: Fresh evidence from the asymmetric autoregressive distributed lag approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1340-1356, January.
    6. Ayamba Emmanuel Caesar & Chen HaiBo & Thomas Bilaliib Udimal & Andrew Osei-Agyemang, 2018. "Foreign Direct Investment, Growth of Output Indicators and Economic Growth in China: Empirical Evidence on Causal Links," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 315-322.

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    More about this item

    Keywords

    Economic growth; foreign direct investment; Granger causality;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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