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The University of Texas at Austin

Enforcement policy, disclosure regulation, and investment efficiency

Abstract

dc:description.abstract

The optimal enforcement policy of disclosure regulation remains debated. Some regulators argue for targeting serious violations alone, while others advocate pursuing even the smallest infractions. This paper develops an analytical model to examine how a chosen enforcement policy affects a firm's project selection. In the model, the manager chooses between a riskier project and a safer project and decides whether to disclose information about the firm's final payoff. The regulator mandates disclosure and commits to either a focused enforcement policy (i.e., pursuing only severe violations) or a uniform enforcement policy (i.e., pursuing violations regardless of severity). The main finding is that a focused enforcement policy discourages the manager from taking risks while a uniform enforcement policy encourages risk-taking. Therefore, a uniform policy enhances investment efficiency when the riskier project is efficient; in contrast, a focused policy enhances investment efficiency when the safer project is efficient. This paper provides insights into the regulatory debate on enforcement policy.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Discipline thesis:degree_discipline
Accounting
Grantor
The University of Texas at Austin
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Yiying, Ph. D.
Advisor dc:contributor.advisor
  • Laux, Volker
Committee members dc:contributor.committeemember
  • Alti, Aydogan
  • Hwang, Hyun
  • Zheng, Ronghuo

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:repositories.lib.utexas.edu:2152/133753

Chain of custody

source
Harvested from
University of Texas
Base URL
repositories.lib.utexas.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Chen, Yiying, Ph. D.. Enforcement policy, disclosure regulation, and investment efficiency. The University of Texas at Austin, 2025. https://hdl.handle.net/2152/133753