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Quantitative relations between corruption and economic factors

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  • Jia Shao

    ()

  • Plamen Ch. Ivanov
  • Boris Podobnik
  • H. Eugene Stanley
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    Abstract

    We report quantitative relations between corruption level and economic factors, such as country wealth and foreign investment per capita, which are characterized by a power law spanning multiple scales of wealth and investment per capita. These relations hold for diverse countries, and also remain stable over different time periods. We also observe a negative correlation between level of corruption and long-term economic growth. We find similar results for two independent indices of corruption, suggesting that the relation between corruption and wealth does not depend on the specific measure of corruption. The functional relations we report have implications when assessing the relative level of corruption for two countries with comparable wealth, and for quantifying the impact of corruption on economic growth and foreign investment. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

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    File URL: http://hdl.handle.net/10.1140/epjb/e2007-00098-2
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    Bibliographic Info

    Article provided by Springer in its journal The European Physical Journal B.

    Volume (Year): 56 (2007)
    Issue (Month): 2 (03)
    Pages: 157-166

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    Handle: RePEc:spr:eurphb:v:56:y:2007:i:2:p:157-166

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    Web page: http://www.springer.com/economics/journal/10051

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    Related research

    Keywords: 89.90.+n Other topics in areas of applied and interdisciplinary physics; 05.45.Tp Time series analysis; 05.40.Fb Random walks and Levy flights;

    References

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    1. James R. Hines, Jr., 1995. "Forbidden Payment: Foreign Bribery and American Business After 1977," NBER Working Papers 5266, National Bureau of Economic Research, Inc.
    2. Hokky Situngkir, 2004. "Money-Scape: A Generic Agent-Based Model of Corruption," Computational Economics, EconWPA 0405003, EconWPA.
    3. McCallum, Bennett T., 1990. "Inflation: Theory and evidence," Handbook of Monetary Economics, Elsevier, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 2, chapter 18, pages 963-1012 Elsevier.
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    Cited by:
    1. Salois, Matthew J., 2013. "Regional changes in the distribution of foreign aid: An entropy approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2893-2902.
    2. Chen, Yanguang, 2012. "The mathematical relationship between Zipf’s law and the hierarchical scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3285-3299.
    3. Tunali, Çiǧdem Börke & Yilanci, Veli, 2010. "Are per capita incomes of MENA countries converging or diverging?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4855-4862.
    4. Chen, Yanguang, 2012. "The rank-size scaling law and entropy-maximizing principle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 767-778.
    5. Osipian, Ararat, 2008. "The World is Flat: Modeling Educators’ Misconduct with Cellular Automata," MPRA Paper 7592, University Library of Munich, Germany.
    6. Hu, Lunchao & Tian, Kailan & Wang, Xin & Zhang, Jiang, 2012. "The “S” curve relationship between export diversity and economic size of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 731-739.

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