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Technology spillovers of FDI in ASEAN sourcing from local and abroad

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  • Yonghong Tu
  • Xiao Tan

Abstract

Purpose - This paper aims to empirically analyze the role of FDI technology spillover effects in the development patterns of ASEAN. Design/methodology/approach - The paper is based on the analytical framework of Borensztein by utilizing time‐series data between 1990 and 2008 in ASEAN countries. Models (1)‐(3) estimate parameters by adopting OLS, and Model (4) uses dummy saturation methods in PC Give, Oxmetrics 6 to determine significant dummy variables automatically. By judging the overall significance of each variable and the model, Model (4) has a substantial improvement, and is finally selected to judge the education threshold of each country. Findings - The empirical results render support to the existence of technology spillovers in ASEAN. The regression results also suggest that it is necessary to combine FDI technology spillovers with domestic human capital, that is, in the process of promoting economic development. China's FDI in ASEAN requires lower education threshold, and also has positive effect on economy growth in six countries of ASEAN. Research limitations/implications - As this paper investigates data from many countries, there are some unavoidable differences in the statistical sources and the calibre of data. It is inevitable to have some inaccuracies. This paper tries to process the data into similar calibres and units. Practical implications - The paper examined whether total FDI, intra‐ASEAN FDI and FDI from China have played exactly the same role in ASEAN countries. Accordingly, the paper put forward suggestions after combining the characteristics of FDI from China with different local situations of ASEAN host countries. Originality/value - The paper, respectively, takes data of total FDI, intra‐ASEAN FDI, FDI from China into the FDI variable in the model, and get three sets of results for each country. The year dummy variable is newly added to the original framework of Borensztein in order to test whether the dependent variable can be affected to a large extent by potential great changes in macro‐economies.

Suggested Citation

  • Yonghong Tu & Xiao Tan, 2012. "Technology spillovers of FDI in ASEAN sourcing from local and abroad," China Finance Review International, Emerald Group Publishing Limited, vol. 2(1), pages 78-94, January.
    • Handle: RePEc:eme:cfripp:v:2:y:2012:i:1:p:78-94
    DOI: 10.1108/20441391211197465
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    References listed on IDEAS

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    2. Yilmaz BAYAR & Mahmut Unsal SASMAZ, 2019. "Foreign borrowing, foreign direct investment inflows and economic growth in European Union transition economies," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 107-125, December.
    3. Nathapornpan Piyaareekul Uttama & Rapipong Promnart, 2022. "Shadow economy and the efficiency of FDI inflow: the case of ASEAN economies," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 23(2), pages 136-155.
    4. Ausloos, Marcel & Eskandary, Ali & Kaur, Parmjit & Dhesi, Gurjeet, 2019. "Evidence for Gross Domestic Product growth time delay dependence over Foreign Direct Investment. A time-lag dependent correlation study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    5. Gao, Jingyi, 2022. "Global value chain and firms’ leverage: The mediator role of foreign ownership," Finance Research Letters, Elsevier, vol. 48(C).
    6. Ye, Zhiqiang & Zhang, Fangfang & Zhang, Shunming, 2021. "Export effect and influence mechanism of foreign ownership," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 258-276.
    7. Sailesh Tanna & Chengchun Li & Glauco De Vita, 2018. "The role of external debt in the foreign direct investment–growth relationship," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 393-412, October.
    8. Wang, Fei & Dong, Zhi & Dong, Ji-chang, 2022. "Can international cooperation base for science and technology drive cooperation ability? Evidence from Xinjiang China," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 699-706.

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