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The Political Determinants of Foreign Direct Investment: A Firm-Level Analysis

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  • Vincent Arel-Bundock

Abstract

Many large-N cross-national studies claim to show that political institutions and phenomena determine where foreign direct investment (FDI) flows. In this article, I argue that these studies tend to overemphasize statistical significance and often neglect to assess the explanatory or predictive power of their theories. To illustrate the problem, I estimate variations of a statistical model published in an influential article on “Political Risk, Institutions, and FDI.” I find that none of the political variables that the authors consider accounts for much of the variation in aggregate FDI inflows. To ensure that this underwhelming result is not driven by misspecification or measurement error, I leverage a large firm-level data set on the investment location decisions of thousands of multinational firms. Using nonparametric machine-learning techniques and out-of-sample tests, I show that gravity variables can help us develop very accurate expectations about firm behavior but that none of the 31 “political determinants” of FDI that I consider can do much to improve our expectations. These findings have important implications because they suggest that governments retain some room to move in the face of economic globalization.

Suggested Citation

  • Vincent Arel-Bundock, 2017. "The Political Determinants of Foreign Direct Investment: A Firm-Level Analysis," International Interactions, Taylor & Francis Journals, vol. 43(3), pages 424-452, May.
  • Handle: RePEc:taf:ginixx:v:43:y:2017:i:3:p:424-452
    DOI: 10.1080/03050629.2016.1185011
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    References listed on IDEAS

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    1. Assaf Razin & Joel B. Slemrod, 1990. "Introduction to "Taxation in the Global Economy"," NBER Chapters, in: Taxation in the Global Economy, pages 1-8, National Bureau of Economic Research, Inc.
    2. Vito Tanzi, 1998. "Corruption Around the World: Causes, Consequences, Scope, and Cures," IMF Staff Papers, Palgrave Macmillan, vol. 45(4), pages 559-594, December.
    3. Mr. Vito Tanzi, 1998. "Corruption Around the World: Causes, Consequences, Scope, and Cures," IMF Working Papers 1998/063, International Monetary Fund.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. Assaf Razin & Joel Slemrod, 1990. "Taxation in the Global Economy," NBER Books, National Bureau of Economic Research, Inc, number razi90-1, July.
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    Cited by:

    1. Iulia ELENES PLATONA, 2022. "Trade Openness, Investment Freedom- Selected Country Risk Indicators, Impact On Foreign Direct Investments, A Panel Vector Autoregression Model Approach," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 198-205, December.
    2. 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.
    3. Iulia ELENES PLATONA, 2022. "The Economic Freedom, Country Risk And Foreign Direct Investments," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 206-212, December.
    4. John Schoeneman & Jami Fullerton, 2023. "Exploring relationships between nation branding and foreign direct investment," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 19(3), pages 266-279, September.
    5. Harish, Nikki & Plouffe, Michael, 2018. "The Political Economy of Foreign Direct Investment to Developing Countries," OSF Preprints chzpq, Center for Open Science.

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