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同伴学习、执法与声誉

Peer Learning, Enforcement, and Reputation
The RAND Journal of Economics · 2026 · Yi Chen、Kai Du、Phillip C. Stocken、Zhe Wang

中文摘要

我们研究一个两期学习模型:在其中,序贯理性的监管者建立严格执法的声誉,而自利的企业通过其违规行为试探监管者的执法倾向。在透明环境中,即企业之间的违规行为与执法行为均可被观察到,监管者的声誉关切会内生地在企业之间产生正的或负的执法外部性。当声誉关切较强时,执法外部性为负并主导信息外部性,从而鼓励违规。反之,两类外部性均为正,从而抑制违规。尽管在不透明环境中,强声誉总是有利于监管者,但在透明环境中,它往往适得其反。

Abstract

ABSTRACT We study a two‐period learning model where a sequentially rational regulator builds a reputation for strict enforcement and self‐interested firms test the regulator's enforcement propensity through their misconduct. In the transparent setting, where misconduct and enforcement are observable between the firms, the regulator's reputation concern endogenously creates positive or negative enforcement externalities between the firms. When the reputation concern is strong, the enforcement externalities are negative and dominate the information externalities, encouraging misconduct. Otherwise, both externalities are positive and deter misconduct. Although a strong reputation always benefits the regulator in the opaque setting, it often backfires in a transparent setting.
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