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The Weak Relation between Foreign Direct Investment and Corruption: A Theoretical and Econometric Study

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  • Tomáš Evan
  • Ilya Bolotov

Abstract

Foreign direct investment has become an important factor of development of economies in the last decades. However, its economic nature as well as its relationship with corruption has not yet been clarified in economic literature. Following previous theoretical research, mainly Dunning's eclectic model, this paper evaluates the econometric relationship between corruption and foreign direct investment by testing three theoretically-based hypotheses: that corruption perception indicator is a stationary variable, that the relationship between corruption and foreign direct investment stock is statistically weak and that changes in foreign direct investment stock do not Granger cause changes in corruption. The verification is based on unit root tests, panel co-integration and Granger causality models performed on data from the Transparency International, the World Bank and the Heritage Foundation and the UN Conference on Trade and Development (UNCTAD) for 94 countries for the years 1998-2007. The results show that there is no significant relationship between the two variables.

Suggested Citation

  • Tomáš Evan & Ilya Bolotov, 2014. "The Weak Relation between Foreign Direct Investment and Corruption: A Theoretical and Econometric Study," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(4), pages 474-492.
    • Handle: RePEc:prg:jnlpep:v:2014:y:2014:i:4:id:494:p:474-492
    DOI: 10.18267/j.pep.494
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    1. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    2. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    3. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    4. Ali Al-Sadig, 2009. "The Effects of Corruption on FDI Inflows," Cato Journal, Cato Journal, Cato Institute, vol. 29(2), pages 267-294, Winter.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    7. José Manuel Martins Caetano & António Caleiro, 2005. "Corruption and Foreign Direct Investment:What kind of relationship is there?," Economics Working Papers 18_2005, University of Évora, Department of Economics (Portugal).
    8. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    9. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    10. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    11. Christophe HURLIN, 2007. "Testing Granger Non-Causality in Heterogeneous Panel Data Models with Fixed Coefficients," LEO Working Papers / DR LEO 1547, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    12. Tomáš Evan, 2010. "Some Issues of Political Economics of Multinational Corporations [Některé otázky politické ekonomie nadnárodních společností]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2010(4), pages 32-43.
    13. repec:dau:papers:123456789/6159 is not listed on IDEAS
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    Cited by:

    1. Blanka Škrabić Perić & Petar Sorić, 2018. "A Note on the “Economic Policy Uncertainty Index”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 505-526, June.
    2. Tomáš Evan & Ilya Bolotov, 2021. "Measuring Mancur Olson: What is the Influence of Culture, Institutions and Policies on Economic Development?," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(3), pages 290-315.
    3. Byung Il Park & Sungjin J. Hong & Shufeng Simon Xiao, 2022. "Institutional pressure and MNC compliance to prevent bribery: empirical examinations in South Korea and China," Asian Business & Management, Palgrave Macmillan, vol. 21(4), pages 623-656, September.
    4. Manu K.S. & Vivek Patel, 2018. "The Dynamic Linkage between Corruption Index and Foreign Direct Investment: The Case of Developed and Developing Countries," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 9(2), pages 59-67, May.
    5. Tomáš Evan & Ilya Bolotov, . "Measuring Mancur Olson: What is the Influence of Culture, Institutions and Policies on Economic Development?," Prague Economic Papers, Prague University of Economics and Business, vol. 0.
    6. Kum-Sik Oh & Yeon-Sik Ryu, 2019. "FDI, Institutional Quality, and Bribery: An Empirical Examination in China," Sustainability, MDPI, vol. 11(15), pages 1-11, July.
    7. repec:prg:jnlpep:v:preprint:id:644:p:1-19 is not listed on IDEAS
    8. Abdul Aziz & Javed Ahmed Memon & Aleem Ahmed Qader, 2023. "Functional income distribution in Pakistan: Co‐integration and vector error correction model analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1081-1091, January.
    9. Tomáš Evan & Pavla Vozárová & Ilya Bolotov, 2018. "Some Effects of Intellectual Property Protection on National Economies: Theoretical and Econometric Study," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(1), pages 73-91.

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    More about this item

    Keywords

    foreign direct investment; corruption; Dunning eclectic model; unit root tests; panel Granger causality test; Choi meta-tests; panel co-integration;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business

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