Random inspections and corporate information disclosure

被引:0
|
作者
Li, Xiaoxi [1 ]
Zhong, Qinger [1 ]
Liu, Shasha [1 ]
机构
[1] Jinan Univ, Sch Management, Guangzhou 510632, Peoples R China
基金
中国国家自然科学基金;
关键词
Random inspections; Public enforcement; Disclosure quality; Tone management; ANNUAL-REPORT READABILITY; EARNINGS MANAGEMENT; TEXTUAL ANALYSIS; INVESTOR PROTECTION; ENFORCEMENT; LAW; TRANSPARENCY; PRIVATE; FINANCE; RISK;
D O I
10.1016/j.pacfin.2025.102701
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study investigates the effectiveness of public enforcement in financial markets with weak investor protection, specifically examining the impact of China's random inspection policy on corporate disclosure. This policy is designed to prevent selective enforcement by randomly selecting the inspected firms and the inspectors. Our findings indicate that inspected firms significantly improve their disclosure quality by adopting a more conservative tone in subsequent years. Cross-sectional tests reveal a more significant effect among state-owned enterprises (SOEs) and firms with stronger social connections, lower media coverage, and higher litigation risk, which can be attributed to the random inspections reducing regulatory capture, narrowing the information gap, and increasing firms' exposure to regulatory oversight and market participants. However, the influence of these inspections is moderated by market incentives of corporate managers, as proxied by financing demands and insider trading incentives. In addition, a plausible mechanism for this improvement in corporate disclosure quality is the intensified monitoring by external auditors following random inspections. Further evidence indicates a reduction in firms' crash risk due to enhanced disclosure quality after random inspections. Finally, we observe that CSRC random inspections also improve the disclosure quality of non-inspected firms within the same industry, thereby creating a spillover effect. These findings suggest that public enforcement has a significant regulatory impact in financial markets where investor protection is weak through enhancing regulatory transparency and curbing regulatory discretion.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Corporate green innovation: The influence of ESG information disclosure
    Ruan, Lei
    Yang, Liwen
    Dong, Kunyang
    JOURNAL OF INNOVATION & KNOWLEDGE, 2024, 9 (04):
  • [32] New media surveillance, environmental information uncertainty and corporate environmental information disclosure
    Zhang, Qixin
    Xiang, Zhiqiang
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2024, 95
  • [33] Individual investors' online voice and corporate environmental information disclosure
    Xia, Dehua
    Shi, Junfeng
    FINANCE RESEARCH LETTERS, 2024, 62
  • [34] Digital transformation and corporate ESG information disclosure herd effect
    He, Yin
    Li, Jianzhong
    Ren, Yuheng
    FINANCE RESEARCH LETTERS, 2024, 65
  • [35] Media pressure, internal control, and corporate environmental information disclosure
    Zhang, Jing
    Zhang, Lu
    Zhang, Mancen
    FINANCE RESEARCH LETTERS, 2024, 63
  • [36] Information Disclosure on Good Corporate Governance and Corporate Social Responsibility as Determinants of Firm Value
    Indriastuti, Maya
    Winarsih
    Najihah, Naila
    COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, 2021, 1194 : 375 - 382
  • [37] Management Ability, Power Distance and Corporate Environmental Information Disclosure
    Li, Hong
    Wang, Juan
    2019 3RD INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND SOCIAL SCIENCE (EMSS 2019), 2019, : 241 - 244
  • [38] The divergence and driving factors of corporate environmental information disclosure in China
    Shen, Liwen
    Qian, Wenchu
    Yang, Yongliang
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 6 (07):
  • [39] Information disclosure and deliberation about corporate social and environmental responsibility
    Zanitelli, Leandro Martins
    REVISTA DIREITO AMBIENTAL E SOCIEDADE, 2013, 3 (02): : 191 - 225
  • [40] Corporate Risk Information Disclosure Based on Semantic Analysis Methods
    Yang, Ning
    MOBILE INFORMATION SYSTEMS, 2022, 2022