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A panel study on the relationship between corruption and government size

Author

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  • Go, Kotera
  • Okada, Keisuke
  • Samreth, Sovannroeun

Abstract

Using panel data from 1996 to 2005, this paper shows that the effect of government size on corruption is positive at a low level of democracy, but it is negative at a high level. This finding could fill the gaps in previous studies whose findings on the relationship between corruption and government size are controversial.

Suggested Citation

  • Go, Kotera & Okada, Keisuke & Samreth, Sovannroeun, 2010. "A panel study on the relationship between corruption and government size," MPRA Paper 21519, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:21519
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    File URL: https://mpra.ub.uni-muenchen.de/21519/1/MPRA_paper_21519.pdf
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    References listed on IDEAS

    as
    1. Billger, Sherrilyn M. & Goel, Rajeev K., 2009. "Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimates," Journal of Development Economics, Elsevier, vol. 90(2), pages 299-305, November.
    2. La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei & Vishny, Robert, 1999. "The Quality of Government," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 15(1), pages 222-279, April.
    3. Danila Serra, 2006. "Empirical determinants of corruption: A sensitivity analysis," Public Choice, Springer, vol. 126(1), pages 225-256, January.
    4. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    5. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    6. Saha, Shrabani & Gounder, Rukmani & Su, Jen-Je, 2009. "The interaction effect of economic freedom and democracy on corruption: A panel cross-country analysis," Economics Letters, Elsevier, vol. 105(2), pages 173-176, November.
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    Citations

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    Cited by:

    1. Paweł Dec & Jacek Wysocki, 2022. "In Search of Non-Obvious Relationships between Greenhouse Gas or Particulate Matter Emissions, Renewable Energy and Corruption," Energies, MDPI, vol. 15(4), pages 1-20, February.
    2. Masoome Fouladi & Hedieh Setayesh & Yazdan Goudarzi-Farahani, 2014. "Factors influencing the formation of corruption in oil-rich countries," 2nd International Conference on Energy, Regional Integration and Socio-Economic Development 7689, EcoMod.
    3. Graziella Bonanno & Lucia Errico & Nadia Fiorino & Roberto Ricciuti, 2024. "The Impact of Government Size on Corruption: A Meta-Regression Analysis," CESifo Working Paper Series 10956, CESifo.
    4. LABED Lazhar & BOUCENNA Mohammed Ridha & BENZOUAI Mohamed Cherif, 2022. "Analyzing The Impact Of Corruption On Income Levels Disparity Between Countries," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 17(2), pages 160-175, August.
    5. Abdoulaye Dramane, 2021. "Effect of the size of government spending on corruption in sub-saharan african countries," Economics Bulletin, AccessEcon, vol. 41(1), pages 167-181.
    6. Fazlı YILDIZ, & Ersin Nail SAGDIC, & Guner TUNCER, 2017. "Budgetary Transparency, E-Government And Corruption: New Evidence From Panel Data Approach," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 6(1), pages 1-55, January.

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    More about this item

    Keywords

    Corruption; Government size; Democracy; Panel data;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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