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An Evolutionary Model of For-profit Enforcement and Pervasive Law-violation

机译:营利性执法和普遍违反法律的进化模型

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Pervasive law-violation, the committing of certain illegal behavior by most individuals, exists in many fields, such as the overloading of trucks, pollution-discharge of chemical companies, etc., in some societies especially developing economies. For-profit enforcement is considered to be one possible reason for this phenomenon. This causality is articulated using an evolutionary model. There are two types of agents in this model, the first type is civilians who are bounded rational, and decide on whether to abide a law by learning from each other in a short time horizon; the other type is the law enforcement agency, who has higher rationality, and will choose optimal inspection frequency and punishment strength to maximize their payoff in a long time horizon, with the knowledge of how the civilians update their strategies. It is revealed that, if the enforcement agency can obtain benefit from the fines collected in the enforcement, their optimal choice is not to enforce the law strictly, but to adopt a moderate inspection frequency and punishment strength, because this induces more civilians to violate the law and brings the agency higher income. However, this intended lenient enforcement leads to a pervasive law-violation in the society.
机译:在许多社会中,特别是在发展中经济体中,普遍存在违反法律的行为,这是大多数人犯下的某些非法行为,例如卡车超载,化学公司的污染排放等许多领域。营利性执法被认为是造成这种现象的一种可能原因。这种因果关系是使用进化模型表达出来的。在这种模型中,代理人有两种类型,第一类是平民,他们是有限理性的人,他们通过在短时间内互相学习来决定是否遵守法律。另一类是执法机构,它具有较高的合理性,并且将在了解平民如何更新其策略的情况下,选择最佳的检查频率和惩罚强度,以在较长的时间范围内最大化其收益。据透露,如果执法机构可以从执法中收取的罚款中受益,他们的最佳选择不是严格执行法律,而是采取适度的检查频率和惩罚力度,因为这会导致更多的平民违法。法律并为代理商带来更高的收入。但是,这种宽大的执法意图导致社会普遍违反法律。

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