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Actions of the two sides in the dynamic selective law enforcement game

机译:双方在动态选择性执法游戏中的行动

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In the framework of optimal law enforcement theory, the existed literatures have analyzed the acts of selective law enforcement under the static conditions. In this paper, we use incomplete information dynamic game model to analyze the process of dynamic game between law enforcers and potential offenders. The result shows that the potential offenders can get relevant enforcement information such as the punishments intensity by observing, studying, and predicting the situations. Then they will modify their behaviors to avoid penalty based on this information. These opportunistic behaviors not only bring the inefficient allocation of resources, but also damage the credibility and justice of the law. To solve this problem, we need to introduce the public oversight mechanism and regulate the behaviors of law enforcers.
机译:在最优执法理论的框架下,现有文献对静态条件下的选择性执法行为进行了分析。在本文中,我们使用不完全信息动态博弈模型来分析执法者与潜在犯罪者之间的动态博弈过程。结果表明,潜在的犯罪者可以通过观察,研究和预测情况来获得相关的执法信息,例如处罚力度。然后,他们将根据此信息修改其行为,以避免受到惩罚。这些机会主义行为不仅带来资源分配的效率低下,而且损害了法律的公信力和公正性。为了解决这个问题,我们需要引入公众监督机制,规范执法人员的行为。

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