你有多腐败?不确定性下的贿赂

Dmitry Ryvkin, Danila Serra
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引用次数: 66

摘要

我们对一个社会中的腐败现象进行了模拟,以分析普通公民与政府官员之间的贿赂交易。我们研究了关于潜在腐败伙伴的内在道德成本的不完全信息在他或她从事贿赂的倾向中所起的作用,从而研究了社会中腐败的均衡水平。我们假设参与腐败的成本受制于战略互补性,这可能导致多重腐败均衡。我们发现,当潜在行贿者和潜在行贿者对彼此的“腐败性”不确定且具有不对称议价能力时,腐败程度最低。我们的不确定性结果为支持反腐败策略提供了理论支持,例如公职人员轮岗,旨在减少行贿者和受贿者的社会亲密度。我们的议价能力结果表明,在不确定性条件下,垄断性公共物品供给与竞争性公共物品供给具有相同的减少腐败的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Corruptible are You? Bribery Under Uncertainty
We model corruption in a society as a result of bargaining for bribes between private citizens and public officials. We investigate the role that incomplete information with respect to the intrinsic moral cost of one's potential corruption partner plays out in his or her propensity to engage in bribery, and, consequently, the equilibrium level of corruption in the society. We assume that the cost of engaging in corruption is subject to strategic complementarities, which may lead to multiple corruption equilibria. We find that corruption is lowest when potential bribers and potential bribees are uncertain regarding each other's "corruptibility" and have asymmetric bargaining powers. Our uncertainty result provides theoretical support in favor of anti-corruption strategies, such as staff rotation in public offices, aimed at decreasing the social closeness of bribers and bribees. Our bargaining power result suggests that, under uncertainty, monopolistic public good provision has the same corruption-reducing effect as competitive public good provision.
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