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Corruption and the size of government: causality tests for OECD and Latin American countries

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  • Paulo Roberto Arvate
  • Andrea Zaitune Curi
  • Fabiana Rocha
  • Fabio Miessi Sanches

Abstract

The purpose of this article is to examine the causality between government size and corruption, and to verify if there is a different pattern of causality between developed Organization for Economic Co-operation and Development (OECD) countries (excluding Mexico) and developing countries (Latin American countries) during the period 1996 to 2003. Applying Granger and Huang's (1997) methodology we find evidence that size of government Granger causes corruption in both samples. Since a larger government involvement in private markets today will be followed in future by a higher level of corruption a policy advice would be to enhance governance. The promotion of good governance helps to combat corruption given that it complements efforts to reduce corruption more directly, and it is strongly recommended by the International Monetary Fund, other multilateral institutions, and all worried with the negative impacts of corruption on economic activity.

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  • Paulo Roberto Arvate & Andrea Zaitune Curi & Fabiana Rocha & Fabio Miessi Sanches, 2010. "Corruption and the size of government: causality tests for OECD and Latin American countries," Applied Economics Letters, Taylor & Francis Journals, vol. 17(10), pages 1013-1017.
  • Handle: RePEc:taf:apeclt:v:17:y:2010:i:10:p:1013-1017
    DOI: 10.1080/13504850802676207
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    Cited by:

    1. Dragan Tevdovski & Joana Madjoska & Petar Jolakoski & Branimir Jovanovic & Viktor Stojkoski, 2022. "Firm Profits and Government Activity: An Empirical Investigation," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 24(1), pages 43-82, June.
    2. Rajeev K. Goel & Ummad Mazhar & Rati Ram, 2022. "Dimensions of size and corruption perceptions versus corruption experiences by firms in emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 374-396, April.
    3. Kshitiz Shrestha & Jorge Martinez‐Vazquez & Charles Hankla, 2023. "Political decentralization and corruption: Exploring the conditional role of parties," Economics and Politics, Wiley Blackwell, vol. 35(1), pages 411-439, March.
    4. Reza Tajaddini & Hassan F. Gholipour, 2018. "Control of Corruption and Luxury Goods Consumption," Kyklos, Wiley Blackwell, vol. 71(4), pages 613-641, November.
    5. Eugen Dimant & Guglielmo Tosato, 2018. "Causes And Effects Of Corruption: What Has Past Decade'S Empirical Research Taught Us? A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 335-356, April.
    6. Hailin Chen & Friedrich Schneider & Qunli Sun, 2018. "Size, Determinants, and Consequences of Corruption in China's Provinces: The MIMIC Approach," CESifo Working Paper Series 7175, CESifo.
    7. Zohal Hessami, 2013. "Corruption, Public Procurement, and the Budget Composition: Theory and Evidence from OECD Countries," Working Paper Series of the Department of Economics, University of Konstanz 2013-27, Department of Economics, University of Konstanz.
    8. Jean‐Claude Kouladoum, 2023. "Technology and control of corruption in Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1163-1180, August.
    9. Hessami, Zohal, 2014. "Political corruption, public procurement, and budget composition: Theory and evidence from OECD countries," European Journal of Political Economy, Elsevier, vol. 34(C), pages 372-389.
    10. 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.
    11. Borlea Sorin Nicolae & Achim Monica Violeta & Rus Alexandra Ioana Daniela, 2019. "Behavioral Determinants of Corruption. A Cross-Country Survey," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(1), pages 21-39, March.
    12. Daud Vicary Abdullah & Hossein Askari & Abbas Mirakhor, 2015. "The moral foundation of collective action against economic crimes," PSL Quarterly Review, Economia civile, vol. 68(272), pages 9-39.
    13. Timofeyev, Yuriy, 2015. "Analysis of predictors of organizational losses due to occupational corruption," International Business Review, Elsevier, vol. 24(4), pages 630-641.
    14. Carol M. Sánchez & Kevin Lehnert., 2018. "Firm-level trust in emerging markets: the moderating effect on the institutional strength- corruption relationship in Mexico and Peru," Estudios Gerenciales, Universidad Icesi, vol. 34(147), pages 127-138, May.
    15. Roberto Dell’Anno, 2020. "Corruption around the world: an analysis by partial least squares—structural equation modeling," Public Choice, Springer, vol. 184(3), pages 327-350, September.

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