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A revisit to the outward FDI determinants: further evidence from count panel data models with fixed effects

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  • Song Zan Chiou Wei
  • Zhen Zhu

Abstract

Given the discrete nature of the outward foreign direct investment (FDI) data, the count data regression models are set up as vehicles for our empirical work. We propose and test various econometric specifications that address the main problems inherent in the traditional Poisson regression. Empirical estimates derived from these models are found quite similar. We find that exchange rate and openness are not as significant factors in attracting FDI as previous studies had portrayed.

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  • Song Zan Chiou Wei & Zhen Zhu, 2007. "A revisit to the outward FDI determinants: further evidence from count panel data models with fixed effects," Applied Economics Letters, Taylor & Francis Journals, vol. 14(11), pages 809-812.
    • Handle: RePEc:taf:apeclt:v:14:y:2007:i:11:p:809-812
    DOI: 10.1080/13504850600689923
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    Cited by:

    1. Tolentino, Paz Estrella, 2008. "The determinants of the outward foreign direct investment of China and India: Whither the home country?," MERIT Working Papers 2008-049, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Hsieh, Hui-Ching & Boarelli, Sofia & Vu, Thi Huyen Chi, 2019. "The effects of economic policy uncertainty on outward foreign direct investment," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 377-392.
    3. Tolentino, Paz Estrella, 2010. "Home country macroeconomic factors and outward FDI of China and India," Journal of International Management, Elsevier, vol. 16(2), pages 102-120, June.
    4. K. S. Sujit & B. Rajesh Kumar & Sarbjit Singh Oberoi, 2020. "Impact of Macroeconomic, Governance and Risk Factors on FDI Intensity—An Empirical Analysis," JRFM, MDPI, vol. 13(12), pages 1-14, December.

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