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Institutions and foreign direct investment (FDI) in Malaysia: empirical evidence using ARDL model

Author

Listed:
  • Abdul Karim, Zulkefly
  • Zaidi, Mohd Azlan Shah
  • Ismail, Mohd Adib
  • Abdul Karim, Bakri

Abstract

Since 1990’s, institution factors have been regarded as playing important roles in stimulating foreign direct investments (FDI). However, empirical studies on their importance in affecting FDI are still lacking especially for small open economies. This paper attempts to investigate the role of institutions upon the inflow of foreign direct investment (FDI) in a small open economy of Malaysia. Using bounds testing approach (ARDL model), the empirical findings reveal that there exists a long run relationship among FDI and the institution variables. Specifically, several institution variables namely government stability, bureaucracy, and corruption are found to play prominent roles in influencing the inflow of FDI. Thus, in attracting foreign investors, implementing FDI-friendly policies by providing and maintaining the quality of domestic institutions would be beneficial to Malaysian economic growth.

Suggested Citation

  • Abdul Karim, Zulkefly & Zaidi, Mohd Azlan Shah & Ismail, Mohd Adib & Abdul Karim, Bakri, 2011. "Institutions and foreign direct investment (FDI) in Malaysia: empirical evidence using ARDL model," MPRA Paper 31899, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:31899
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    File URL: https://mpra.ub.uni-muenchen.de/31899/1/MPRA_paper_31899.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Institutions; Foreign Direct Investment (FDI); ARDL;
    All these keywords.

    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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