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Primary Determinants And The Spatial Distribution Of Corruption

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Author Info

  • David L. Ortega

    ()

  • Raymond J.G.M. Florax

    ()

  • Benoit A. Delbecq

    ()
    (Dept. of Agricultural Economics, Purdue University, W. Lafayette, IN)

Abstract

This paper analyzes the spatial distribution of corruption and its primary economic and political determinants. Economic freedom and development are found to lower incidences of corruption. Of notable significance, this study finds empirical evidence of a non-linear relationship between a country’s level of democracy and corruption. Extreme authoritarian regimes are found to have lower corruption levels than hybrid regimes, but past a certain threshold democracy inhibits corruption. More importantly the analysis in this paper finds that the economic and political actions of a country have a significant impact on corruption levels worldwide.

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Bibliographic Info

Paper provided by Purdue University, College of Agriculture, Department of Agricultural Economics in its series Working Papers with number 10-6.

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Length: 18 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:pae:wpaper:10-6

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Web page: http://www.agecon.purdue.edu/
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Related research

Keywords: corruption; spatial econometrics; economic freedom; political democracy;

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References

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  1. Gurgur, Tugrul & Shah, Anwar, 2005. "Localization and corruption : panacea or pandora's box?," Policy Research Working Paper Series 3486, The World Bank.
  2. Paldam, Martin, 2002. "The cross-country pattern of corruption: economics, culture and the seesaw dynamics," European Journal of Political Economy, Elsevier, vol. 18(2), pages 215-240, June.
  3. La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei & Vishny, Robert, 1999. "The Quality of Government," Journal of Law, Economics and Organization, Oxford University Press, vol. 15(1), pages 222-79, April.
  4. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
  5. Miguel Braun & Rafael Di tella, 2004. "Inflation, Inflation Variability, and Corruption," Economics and Politics, Wiley Blackwell, vol. 16(1), pages 77-100, 03.
  6. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
  7. Alicia Adsera & Carles Boix & Mark Payne, 2000. "Are You Being Served?: Political Accountability and Quality of Government," Research Department Publications 4241, Inter-American Development Bank, Research Department.
  8. G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
  9. Becker, Sascha O. & Egger, Peter H. & Seidel, Tobias, 2009. "Common political culture: Evidence on regional corruption contagion," European Journal of Political Economy, Elsevier, vol. 25(3), pages 300-310, September.
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Citations

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Cited by:
  1. Hermann Pythagore Pierre Donfouet & P. Wilner Jeanty & Eric Malin, 2013. "A Spatial Dynamic Panel Analysis of Corruption," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201324, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.

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