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Institutional and economic determinants of corruption: a cross-section analysis

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  • Ayse Evrensel

Abstract

In recent years, corruption and possible anti-corruption measures have been extensively discussed at the national, international and multilateral levels. This article provides an empirical analysis of corruption by viewing corruption as an evolutionary process. It assumes that the institutional set-up of the country such as the characteristics of the political and judicial system determines the extent of corruption. The empirical results confirm that countries with totalitarian political regimes, ineffective judicial systems and lower levels of education as well as slower economic growth and higher inflation rates tend to have higher levels of corruption.

Suggested Citation

  • Ayse Evrensel, 2010. "Institutional and economic determinants of corruption: a cross-section analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 551-554.
    • Handle: RePEc:taf:apeclt:v:17:y:2010:i:6:p:551-554
    DOI: 10.1080/13504850802297814
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    Cited by:

    1. Awasthi, Rajul & Bayraktar, Nihal, 2014. "Can tax simplification help lower tax corruption ?," Policy Research Working Paper Series 6988, The World Bank.
    2. Mohamed Dridi, 2014. "Corruption and Education: Empirical Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 4(3), pages 476-493.
    3. Croke,Kevin & Garcia Mora,Maria Elena & Goldstein,Markus P. & Mensah,Edouard Romeo & O'Sullivan,Michael B., 2020. "Up before Dawn : Experimental Evidence from a Cross-Border Trader Training at the Democratic Republic of Congo?Rwanda Border," Policy Research Working Paper Series 9123, The World Bank.
    4. A. Enisan Akinlo, 2024. "Corruption and Misery Index in Nigeria: Is There a Link?," Journal of Interdisciplinary Economics, , vol. 36(1), pages 26-40, January.
    5. Rajul Awasthi & Nihal Bayraktar, 2015. "Can tax simplification help lower tax corruption?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 297-330, December.
    6. Timofeyev, Yuriy, 2015. "Analysis of predictors of organizational losses due to occupational corruption," International Business Review, Elsevier, vol. 24(4), pages 630-641.
    7. Ali Acaravci & Seyfettin Artan & Pinar Hayaloglu & Sinan Erdogan, 2023. "Economic and Institutional Determinants of Corruption: The Case of Developed and Developing Countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 207-231, March.

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