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Worldwide clustering of the corruption perception

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  • Paulus, Michal
  • Kristoufek, Ladislav

Abstract

We inspect a possible clustering structure of the corruption perception among 134 countries. Using the average linkage clustering, we uncover a well-defined hierarchy in the relationships among countries. Four main clusters are identified and they suggest that countries worldwide can be quite well separated according to their perception of corruption. Moreover, we find a strong connection between corruption levels and a stage of development inside the clusters. The ranking of countries according to their corruption perfectly copies the ranking according to the economic performance measured by the gross domestic product per capita of the member states. To the best of our knowledge, this study is the first one to present an application of hierarchical and clustering methods to the specific case of corruption.

Suggested Citation

  • Paulus, Michal & Kristoufek, Ladislav, 2015. "Worldwide clustering of the corruption perception," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 351-358.
  • Handle: RePEc:eee:phsmap:v:428:y:2015:i:c:p:351-358
    DOI: 10.1016/j.physa.2015.01.065
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    as
    1. Egger, Peter & Winner, Hannes, 2005. "Evidence on corruption as an incentive for foreign direct investment," European Journal of Political Economy, Elsevier, vol. 21(4), pages 932-952, December.
    2. Jakob Svensson, 2005. "Eight Questions about Corruption," Journal of Economic Perspectives, American Economic Association, vol. 19(3), pages 19-42, Summer.
    3. repec:hhs:bofitp:2009_005 is not listed on IDEAS
    4. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    5. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2009. "The expectation hypothesis of interest rates and network theory: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1137-1149.
    6. Nobi, Ashadun & Maeng, Seong Eun & Ha, Gyeong Gyun & Lee, Jae Woo, 2014. "Effects of global financial crisis on network structure in a local stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 135-143.
    7. Josef C. Brada & Zdenek Drabek & M. Fabricio Perez, 2012. "The Effect of Home-country and Host-country Corruption on Foreign Direct Investment," Review of Development Economics, Wiley Blackwell, vol. 16(4), pages 640-663, November.
    8. M. Tumminello & T. Di Matteo & T. Aste & R. N. Mantegna, 2007. "Correlation based networks of equity returns sampled at different time horizons," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 55(2), pages 209-217, January.
    9. Busse, Matthias & Hefeker, Carsten, 2007. "Political risk, institutions and foreign direct investment," European Journal of Political Economy, Elsevier, vol. 23(2), pages 397-415, June.
    10. Goel, Rajeev K. & Korhonen, Iikka, 2011. "Exports and cross-national corruption: A disaggregated examination," Economic Systems, Elsevier, vol. 35(1), pages 109-124, March.
    11. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Correlations between biofuels and related commodities before and during the food crisis: A taxonomy perspective," Energy Economics, Elsevier, vol. 34(5), pages 1380-1391.
    12. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    13. Horsewood, Nicholas & Voicu, Anca Monika, 2012. "Does corruption hinder trade for the new EU members?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-28.
    14. Pushan Dutt & Daniel Traca, 2010. "Corruption and Bilateral Trade Flows: Extortion or Evasion?," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 843-860, November.
    15. Ladislav Kristoufek & Karel Janda & David Zilberman, 2013. "Regime-dependent topological properties of biofuels networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(2), pages 1-12, February.
    16. Egger, Peter & Winner, Hannes, 2006. "How Corruption Influences Foreign Direct Investment: A Panel Data Study," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 459-486, January.
    17. Habib, M. & Zurawicki, L., 2001. "Country-level investments and the effect of corruption -- some empirical evidence," International Business Review, Elsevier, vol. 10(6), pages 687-700, December.
    18. Keskin, Mustafa & Deviren, Bayram & Kocakaplan, Yusuf, 2011. "Topology of the correlation networks among major currencies using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 719-730.
    19. Boris Podobnik & Davor Horvatic & Dror Y. Kenett & H. Eugene Stanley, 2012. "The competitiveness versus the wealth of a country," Papers 1209.2813, arXiv.org.
    20. Susanna Thede & Nils-Åke Gustafson, 2012. "The Multifaceted Impact of Corruption on International Trade," The World Economy, Wiley Blackwell, vol. 35(5), pages 651-666, May.
    21. Brida, Juan Gabriel & Risso, Wiston Adrián, 2008. "Multidimensional minimal spanning tree: The Dow Jones case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5205-5210.
    22. Jang, Wooseok & Lee, Junghoon & Chang, Woojin, 2011. "Currency crises and the evolution of foreign exchange market: Evidence from minimum spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 707-718.
    23. de Jong, Eelke & Bogmans, Christian, 2011. "Does corruption discourage international trade?," European Journal of Political Economy, Elsevier, vol. 27(2), pages 385-398, June.
    24. Shang-Jin Wei, 2000. "How Taxing is Corruption on International Investors?," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 1-11, February.
    25. Naylor, Michael J. & Rose, Lawrence C. & Moyle, Brendan J., 2007. "Topology of foreign exchange markets using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 199-208.
    26. Ladislav Krištoufek & Karel Janda & David Zilberman, 2012. "Correlations between biofuels and related commodities: A taxonomy perspective," Working Papers IES 2012/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2012.
    27. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    28. B. M. Tabak & T. R. Serra & D. O. Cajueiro, 2010. "Topological properties of commodities networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 74(2), pages 243-249, March.
    29. Kantar, Ersin & Deviren, Bayram & Keskin, Mustafa, 2011. "Hierarchical structure of Turkey’s foreign trade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3454-3476.
    30. M. Emranul Haque & Richard Kneller, 2008. "Public Investment and Growth: The Role of Corruption," Centre for Growth and Business Cycle Research Discussion Paper Series 98, Economics, The University of Manchester.
    31. Jia Shao & Plamen Ch. Ivanov & Boris Podobnik & H. Eugene Stanley, 2007. "Quantitative relations between corruption and economic factors," Papers 0705.0161, arXiv.org.
    32. Boris Podobnik & Jia Shao & Djuro Njavro & Plamen Ivanov & H. Stanley, 2008. "Influence of corruption on economic growth rate and foreign investment," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(4), pages 547-550, June.
    33. Eom, Cheoljun & Kwon, Okyu & Jung, Woo-Sung & Kim, Seunghwan, 2010. "The effect of a market factor on information flow between stocks using the minimal spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1643-1652.
    34. T. Di Matteo & F. Pozzi & T. Aste, 2010. "The use of dynamical networks to detect the hierarchical organization of financial market sectors," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(1), pages 3-11, January.
    35. Sanjeev Gupta & Hamid Davoodi & Rosa Alonso-Terme, 2002. "Does corruption affect income inequality and poverty?," Economics of Governance, Springer, vol. 3(1), pages 23-45, March.
    36. J.-P. Onnela & K. Kaski & J. Kertész, 2004. "Clustering and information in correlation based financial networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 353-362, March.
    37. Eom, Cheoljun & Oh, Gabjin & Jung, Woo-Sung & Jeong, Hawoong & Kim, Seunghwan, 2009. "Topological properties of stock networks based on minimal spanning tree and random matrix theory in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 900-906.
    38. Mr. Vito Tanzi & Mr. Hamid R Davoodi, 1997. "Corruption, Public Investment, and Growth," IMF Working Papers 1997/139, International Monetary Fund.
    39. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    40. Jia Shao & Plamen Ch. Ivanov & Boris Podobnik & H. Eugene Stanley, 2007. "Quantitative relations between corruption and economic factors," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 56(2), pages 157-166, March.
    41. Mizuno, Takayuki & Takayasu, Hideki & Takayasu, Misako, 2006. "Correlation networks among currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 336-342.
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    3. Budsaratragoon, Pornanong & Jitmaneeroj, Boonlert, 2020. "A critique on the Corruption Perceptions Index: An interdisciplinary approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).

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    Clustering; Corruption perception;

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