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Can corruption favour growth via the composition of government spending?

Author

Listed:
  • Sugata Ghosh

    (Brunel University)

  • Andros Gregoriou

    (University of East Anglia)

Abstract

In an endogenous growth model with two public goods, we analytically derive the optimal composition of government spending in the presence of corruption. Although corruption results in a loss of productivity per se, an increase in corruption in the category of public spending that is harmed relatively more by corruption could have a favourable effect on growth, as it would encourage a benevolent government to divert spending towards the public good that is more productive, net of corruption.

Suggested Citation

  • Sugata Ghosh & Andros Gregoriou, 2010. "Can corruption favour growth via the composition of government spending?," Economics Bulletin, AccessEcon, vol. 30(3), pages 2270-2278.
  • Handle: RePEc:ebl:ecbull:eb-10-00066
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I3-P208.pdf
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    References listed on IDEAS

    as
    1. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    2. Pierre-Guillaume Méon & Khalid Sekkat, 2005. "Does corruption grease or sand the wheels of growth?," Public Choice, Springer, vol. 122(1), pages 69-97, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. El Anshasy, Amany A. & Katsaiti, Marina-Selini, 2013. "Natural resources and fiscal performance: Does good governance matter?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 285-298.

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    More about this item

    Keywords

    Corruption; optimal composition of government spending; endogenous growth.;
    All these keywords.

    JEL classification:

    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • H5 - Public Economics - - National Government Expenditures and Related Policies

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