FDI Determinants in Vietnam: Gravity Model Approach

Author(s)

Nguyen Hoang Nam ,

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Volume 9 - May 2020 (05)

Abstract

This paper uses the gravity model to examine a number of determinants affecting FDI attraction to Vietnam based on panel data from 10 biggest FDI partners of Vietnam for the period of 2005-2019. By using Pooled ordinary least square (OLS), random effect (RE) and fixed effect (FE) models, the empirical results show that the geographical distance, gross domestic product (GDP), gross domestic product per capita (GDP per capita), trade openness and labor costs significantly impact on FDI attraction. These results offer an insight to suggest some policy implications that will help promote more FDI inflows into Vietnam in the future. 

Keywords

FDI determinants, Gravity model, Vietnam

References

                    i.            Asghar, Z. and Gupta, P.K. (2019). Global Versus Local Perspectives on Finance and Accounting. Springer International Publishing.

      ii.            Bellos, S. and Subasat, T. (2012). Governance and foreign direct investment: a panel gravity model approach. International Review of Applied Economics, 26(3), 303-328.

https://doi.org/10.1080/02692171.2011.587110

    iii.            Changwatchai, P. (2010). The Determinants of FDI Inflows by Industry to ASEAN (Indonesia, Malaysia, Philip- pines, Thailand, and Vietnam). PhD Thesis, University of Utah, US.

     iv.            Cuong, H.C. (2013). The Impact of the World Trade Organization (WTO) Regime on Foreign Direct Investment (FDI) Flows to Vietnam: A Gravity Model Approach. Journal of Modern Accounting and Auditing, 9(7), 961-987.

       v.            Demirhan, E. & Masca, M. (2008). Determinants of Foreign Direct Investment Flows to Developing Countries: A Cross - Sectional Analysis. Prague Economic Papers, 4, 356-369.

     vi.            Di Mauro, F. (2000). The Impact of Economic Integration on FDI and Exports: A Gravity Approach, CEPS Working Paper No. 156.

   vii.            Dunning, J.H. (1980). Toward an Eclectic Theory of International Production: Some Empirical Tests. Journal of International Business Studies, 11, 9-31.

 viii.            Eaton, J. & Tamura, A. (1996). Japanese and US Exports and Investment as Conduit of Growth, NBER Working Paper N. 5457.

     ix.            Ismail, N.W. (2009). The Determinant of Foreign Direct Investment in ASEAN: A Semi-Gravity Approach. Transition Studies Review, 16, 710. https://doi.org/10.1007/s11300-009-0103-0

       x.            Hoang, H.H. (2012). Foreign Direct Investment In Southeast Asia: Determinants And Spatial Distribution. Working Papers 30, Development and Policies Research Center (DEPOCEN), Vietnam. https://EconPapers.repec.org/RePEc:dpc:wpaper:3012

     xi.            Kahouli, B. and Maktouf, S. (2015). The determinants of FDI and the impact of the economic crisis on the implementation of RTAs: A static and dynamic gravity model. International Business Review, 24(3), 518-529. https://doi.org/10.1016/j.ibusrev.2014.10.009

   xii.            Mamasalaev, J. (2019). Determinants of FDI Inflow in Asian Landlocked Countries: A Panel Data Study. Global Journal of Management and Business Research: B, Economics and Commerce, 19(5) Version 1.0.

 xiii.            Shahriar, S., Kea, S. and Qian, L. (2019). Determinants of China’s outward foreign direct investment in the Belt & Road economies: A gravity model approach. International Journal of Emerging Markets, 15(3), 427-445.  https://doi.org/10.1108/IJOEM-03-2019-0230

xiv.            Tinbergen, J. (1962). Shaping the World Economy: Suggestions for an International Economic Policy. Twentieth Century Fund, New York.

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