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Bilateral FDI flows in four major Asian economies: a gravity model analysis

Author

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  • Bikash Ranjan Mishra
  • Pabitra Kumar Jena

Abstract

Purpose - The purpose of this paper is to examine the determinants of foreign direct investment (FDI) flows from some leading developed countries (the USA, Japan, Germany, the Netherlands, the UK and France) into major four Asian economies (China, Korea, India and Singapore). Design/methodology/approach - Using one basic and four augmented versions of gravity model technique, the authors tried to examine the determinants of bilateral FDI flows in four major Asian economies. The study used World Development Indicators, CEPII, KOF and Heritage Foundation data for period 2001–2012. Findings - The results revealed that besides the market size for host and source country, other criteria such as distance, common language and common border also influence foreign investors. Other macroeconomic factors such as inflation rate and real interest rate are among the key factors that attract more FDI. In addition to economic factors, institutional and infrastructural factors such as telecommunication, degree of openness, index of globalisation and index of economic freedom also stimulate the international investors from the developed world to the major Asian countries. Research limitations/implications - It is altogether possible that only a set of home country specific characteristics or host country specific characteristics does not matter when determining FDI. Most empirical studies using indices such as the index of globalisation and economic freedom are subject to certain methodological limitations such as model selection, parameter heterogeneity, outliers and moral hazard. Practical implications - More distance between the host and source country would result in less FDI flows due to more managerial and raw material supply chain cost. Similarly, more gross domestic product (GDP) and per capita income (PCI) are leading to more FDI flows into Asian economics. Therefore, major Asian economies should frame their economic policies in such a manner where these counties can strengthen their GDP as well as PCI. Furthermore, above countries should open its economy more and more for better FDI flows as it seems that economic globalisation and economic freedom are major determinants of bilateral FDI flows. The negative impact of inflation and interest rate should be controlled. Social implications - From policy perspective, higher scores of economic, social and political globalisation also attract high FDI to the host country. On the same line higher scores in economic freedom mean that less restrictions in terms of economic policies and the policy environment are conducive for free trade and resource transfers. Higher scores in trade freedom, investment freedom and freedom from corruptions also show more developed and conducive policy environment. In the same reasoning higher scores in the composite index of economic freedom which takes information from trade freedom, investment freedom and freedom from corruption and others also encourage flow of FDI in to the host country. Originality/value - This is the first paper which combines the globalisation index, economic freedom index and distance along with some major macroeconomic variables.

Suggested Citation

  • Bikash Ranjan Mishra & Pabitra Kumar Jena, 2019. "Bilateral FDI flows in four major Asian economies: a gravity model analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(1), pages 71-89, January.
  • Handle: RePEc:eme:jespps:jes-07-2017-0169
    DOI: 10.1108/JES-07-2017-0169
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    Citations

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    Cited by:

    1. Niaz Morshed & Mohammad Razib Hossain, 2022. "Causality analysis of the determinants of FDI in Bangladesh: fresh evidence from VAR, VECM and Granger causality approach," SN Business & Economics, Springer, vol. 2(7), pages 1-28, July.
    2. Samira Ben Belgacem & Moheddine Younsi & Marwa Bechtini & Abad Alzuman & Rabeh Khalfaoui, 2024. "Do Financial Development, Institutional Quality and Natural Resources Matter the Outward FDI of G7 Countries? A Panel Gravity Model Approach," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    3. Mohammad Razib Hossain, 2021. "Inward foreign direct investment in Bangladesh: Do we need to rethink about some of the macro-level quantitative determinants?," SN Business & Economics, Springer, vol. 1(3), pages 1-23, March.
    4. Mehmet Pinar & Thanasis Stengos, 2021. "Democracy in the neighborhood and foreign direct investment," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 449-477, February.
    5. Nathapornpan Uttama & Popkarn Arwatchanakarn, 2023. "How do economic complexity and productive capacities foster foreign direct investment flows? Evidence from the Asian economies," Economics Bulletin, AccessEcon, vol. 43(1), pages 629-643.
    6. Abdullahi , Shafiu Ibrahim, 2021. "Islamic equities and COVID-19 pandemic: measuring Islamic stock indices correlation and volatility in period of crisis," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 29, pages 50-66.
    7. Yifei Cai & Angeliki Menegaki, 2021. "FDI, growth and trade partisan conflict in the US: TVP-BVAR approach," Empirical Economics, Springer, vol. 60(3), pages 1335-1362, March.
    8. Amir Rahman & Rafi Farooq & Khalid Ashraf Chisti, 2023. "Linear and non-linear linkage between human capital and foreign direct investment inflows into APEC countries: an evidence from panel data," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
    9. Muhammed Sehid Gorus & Veli Yilanci & Maxwell Kongkuah, 2023. "FDI Inflows-Economic Globalization Nexus in ASEAN Countries: The Panel Bootstrap Causality Test Based on Wavelet Decomposition," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(2), pages 339-362, June.

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