2000
DOI: 10.1111/1468-0343.00073
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Corruption, Income Distribution, and Growth

Abstract: This paper uses an encompassing framework developed by Murphy et al. (1991, 1993) to study corruption and how it affects income distribution and growth. We find that (1) corruption affects income distribution in an inverted U‐shaped way, (2) corruption alone also explains a large proportion of the Gini differential across developing and industrial countries, and (3) after correcting for measurement errors, corruption seems to retard economic growth. But the effect is far less pronounced than the one found in M… Show more

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Cited by 361 publications
(235 citation statements)
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References 27 publications
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“…Empirically Davoodi et al (1998) found a positive correlation between corruption and in-equality (measured by Gini coefficient) for 37 countries. Li et al (2000) found that the corruption affects the income distribution in an (2003) and Brown et al (2005) found no significant positive relation between higher income inequality and corruption.…”
Section: Hypothesis Derivationmentioning
confidence: 94%
“…Empirically Davoodi et al (1998) found a positive correlation between corruption and in-equality (measured by Gini coefficient) for 37 countries. Li et al (2000) found that the corruption affects the income distribution in an (2003) and Brown et al (2005) found no significant positive relation between higher income inequality and corruption.…”
Section: Hypothesis Derivationmentioning
confidence: 94%
“…Brunetti, 1997;Poirson, 1998;Li et al, 2000;Mo, 2001;Del Monte and Pagagni, 2001;Leite and Weidmann, 2002;Gyimah-Brempong, 2002;Abed and Davoodi, 2002;Méon and Sekkat, 2005;and Castro, 2008).…”
Section: Determinants Of Fdi and Corruptionmentioning
confidence: 99%
“…Most of the economic literature and institutional reports consider corruption as a major obstacle to social development and economic growth -namely, the so-called hypothesis of "sand in the wheels" (see, among others, Myrdal 1989;Andvig and Moene 1990;Shleifer and Vishny 1993;Mauro 1995;Keefer and Knack 1997;Hall and Jones 1999;La Porta et al 1999;Li, Xu, and Zou 2000;Gyimah-Brempong 2002;Tanzi and Davoodi 2002;Kaufmann 2005;Blackburn and Sarmah 2008;World Bank 2007;World Bank various years).…”
Section: Related Literaturementioning
confidence: 99%