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Does Perceived Corruption Converge? International Evidence

Author

Listed:
  • Lafuente Juan Ángel

    (Department of Finance and Accounting and IEI, University Jaume I, Avda. Sos Baynat s.n., 12070 Castellón de la Plana, Spain)

  • Marco Amparo

    (Department of Finance and Accounting, University Jaume I, Avda. Sos Baynat s.n., 12070 Castellón de la Plana, Spain)

  • Monfort Mercedes
  • Ordóñez Javier

    (Department of Economics and IEI, University Jaume I, Avda. Sos Baynat s.n., 12070 Castellón de la Plana, Spain)

Abstract

This article analyses the evolution over time of perceived corruption for a large set of countries worldwide. To proxy corruption, we use the recently proposed Bayesian Corruption Index (Standaert, S. (2015). Divining the level of corruption: A bayesian state space approach, Journal of Comparative Economics, 43(3), 782–803). We employ the test developed by (Phillips, P., & Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75, 1771–1855) that enables the endogenous determination of convergence clubs for countries over time. Having divided countries into convergence clubs, we explore whether each club differs from the others in terms of their competitiveness ranking. In particular, drawing on the 2019 Global Competitiveness Report, we focus not only on the global competitiveness score, but also on the first and the fifth pillars of competitiveness: institutions and health, respectively. Mean and median scores for clubs confirm the general rule that low perceived corruption levels tend to be associated with high-income countries with established democracies, high-quality healthcare systems, and relatively low-income inequality. However, countries such as Spain and Italy, which are innovation-driven economies with excellent scores in the health pillar, are in the worst club for perceived corruption, suggesting there are additional idiosyncratic aspects that could drive perceived corruption levels.

Suggested Citation

  • Lafuente Juan Ángel & Marco Amparo & Monfort Mercedes & Ordóñez Javier, 2022. "Does Perceived Corruption Converge? International Evidence," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 16(1), pages 43-56, January.
  • Handle: RePEc:bpj:econoa:v:16:y:2022:i:1:p:43-56:n:12
    DOI: 10.1515/econ-2022-0018
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    References listed on IDEAS

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    1. Peter C. B. Phillips & Donggyu Sul, 2009. "Economic transition and growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1153-1185, November.
    2. Neeman Zvika & Paserman M. Daniele & Simhon Avi, 2008. "Corruption and Openness," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-40, December.
    3. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    4. Toke S. Aidt, 2009. "Corruption, institutions, and economic development," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 25(2), pages 271-291, Summer.
    5. Bernard, Andrew B. & Durlauf, Steven N., 1996. "Interpreting tests of the convergence hypothesis," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 161-173.
    6. Arvind K. Jain, 2001. "Corruption: A Review," Journal of Economic Surveys, Wiley Blackwell, vol. 15(1), pages 71-121, February.
    7. Olken, Benjamin A., 2009. "Corruption perceptions vs. corruption reality," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 950-964, August.
    8. Welsch, Heinz, 2004. "Corruption, growth, and the environment: a cross-country analysis," Environment and Development Economics, Cambridge University Press, vol. 9(5), pages 663-693, October.
    9. Jayoti Das & Cassandra Dirienzo, 2010. "Tourism Competitiveness and Corruption: A Cross-Country Analysis," Tourism Economics, , vol. 16(3), pages 477-492, September.
    10. Budsaratragoon, Pornanong & Jitmaneeroj, Boonlert, 2020. "A critique on the Corruption Perceptions Index: An interdisciplinary approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    11. Bernard, Andrew B & Durlauf, Steven N, 1995. "Convergence in International Output," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 97-108, April-Jun.
    12. Standaert, Samuel, 2015. "Divining the level of corruption: A Bayesian state-space approach," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 782-803.
    13. Iwasaki, Ichiro & Suzuki, Taku, 2012. "The determinants of corruption in transition economies," Economics Letters, Elsevier, vol. 114(1), pages 54-60.
    14. Isaac Ehrlich & Francis T. Lui, 1999. "Bureaucratic Corruption and Endogenous Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 107(S6), pages 270-293, December.
    15. Acemoglu, Daron, 1995. "Reward structures and the allocation of talent," European Economic Review, Elsevier, vol. 39(1), pages 17-33, January.
    16. Carlino, Gerald A. & Mills, Leonard O., 1993. "Are U.S. regional incomes converging? : A time series analysis," Journal of Monetary Economics, Elsevier, vol. 32(2), pages 335-346, November.
    17. Lalountas, Dionisios A. & Manolas, George A. & Vavouras, Ioannis S., 2011. "Corruption, globalization and development: How are these three phenomena related?," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 636-648, July.
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    More about this item

    Keywords

    perceived corruption; convergence; competitiveness;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • P37 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Legal

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