2003
DOI: 10.2139/ssrn.375760
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Who Gains from Non-Collusive Corruption?

Abstract: Non-collusive corruption, i.e., corruption that imposes an additional burden on business activity, is particularly widespread in low-income countries. We build a macroeconomic model with credit market imperfections and heterogeneous agents to explore the roots and consequences of this type of corruption. We find that credit market imperfections, by generating rents for the incumbent entrepreneurs, create strong incentives for corrupt behavior by state officials. However, non-collusive corruption not only redis… Show more

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Cited by 63 publications
(45 citation statements)
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References 62 publications
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“…Foellmi and Oechslin, 2007) distinguish between collusive and non-collusive corruption, that is, 'corruption with theft' and 'corruption without theft' in the terminology of Shleifer and Vishny (1993). We find that in our context, it is very difficult to make this distinction.…”
mentioning
confidence: 73%
“…Foellmi and Oechslin, 2007) distinguish between collusive and non-collusive corruption, that is, 'corruption with theft' and 'corruption without theft' in the terminology of Shleifer and Vishny (1993). We find that in our context, it is very difficult to make this distinction.…”
mentioning
confidence: 73%
“…Collusive corruption, on the other hand, is mutually beneficial to both the bribe-taker and the bribe-giver, meaning that upholding the corrupt relationship lies in the interest of both parties involved (see e.g. Brunetti and Weder, 2003;and Foellmi and Oechslin, 2007). Whereas collusive corruption often refers to situations where the individual is involved in illegal activity (e.g.…”
Section: Corruption Along Ethnic Lines: Theoretical Backgroundmentioning
confidence: 99%
“…Although corruption is believed to be a widespread phenomenon (see, for example, Marjit, et al 2000;Abed and Gupta, 2002;and Foellmi and Oechslin, 2006), direct hard data on corruption and its prevalence is scarce because of its illegal nature. The absence of hard quantitative data on corruption makes it difficult to bring corruption-related debates-and more generally public debates related to unethical behavior-to the forefront of the policy discussion agenda (Hillman, 2002).…”
Section: Introductionmentioning
confidence: 99%