← ireadpaper · 顶刊中的公共政策研究

本地信息、错配与监管执法随机化的成本

Local information, mismatch, and the cost of randomization in regulatory enforcement
Journal of Public Economics · 2026 · Yile Xiao、Mengdi Liu、Miaomiao Liu、Bing Zhang

中文摘要

为遏制合谋并提升程序完整性,随机检查得以引入。在中国,随机环境检查与保留地方裁量权的常规检查并行实施,由此形成了一个准实验情境,可用于评估两者在发现违规行为方面的因果差异。利用超过16万条检查记录,我们发现,与常规检查相比,随机检查降低了发现违规行为的监管成效,识别出的环境问题减少32%,违规行为减少88%。这一结果源于对高风险企业的靶向识别能力较弱,以及检查人员专业知识与企业特定情境之间的错配,这也限制了对未来违规行为的威慑作用。这些发现凸显了监管制度设计中限制裁量权与保留地方专业知识之间的权衡。

Abstract

Randomized inspections have been introduced to curb collusion and enhance procedural integrity. In China, randomized environmental inspections run alongside routine inspections that preserve local discretion, creating a quasi-experimental setting to assess their causal difference in detecting violations. Using over 160,000 inspection records, we find randomized inspections reduce regulatory effectiveness in detecting violations relative to routine inspections, identifying 32% fewer environmental problems and 88% fewer violations. This stems from weaker targeting of high-risk firms and a mismatch between inspector expertise and firm-specific contexts, which also limits deterrence of future violations. These findings highlight the trade-off between constraining discretion and preserving local expertise in regulatory design.
在 ireadpaper 查看全部 →