Reducing Symbolic Compliance: The Presence of Multiple Large Shareholders as an Internal Monitoring Mechanism
Weiwen Li,
Yan ‘Anthea’ Zhang and
Xinchun Li
Journal of Management Studies, 2024, vol. 61, issue 5, 1946-1984
Abstract:
We propose that in a context where corporate ownership is concentrated, the controlling shareholder of a firm tends to symbolically comply to regulatory requirements that aim to protect minority shareholders; yet the presence of multiple large shareholders can serve as an internal monitoring mechanism that can reduce symbolic compliance. We test this argument through examining firm responses to a regulatory requirement regarding independent accounting director appointments in China. Using data on China's listed non‐state‐owned enterprises, we find that the presence of multiple large shareholders decreases the likelihood of symbolic compliance, and this negative effect is stronger when noncontrolling large shareholders have low incentives to collude with the controlling shareholder. We also find that a firm engaging in symbolic compliance tends to have a greater level of tunnelling (by the largest shareholder) and earnings management. Our study contributes to the literature on symbolic management in an institutional setting where ownership is concentrated.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/joms.12961
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jomstd:v:61:y:2024:i:5:p:1946-1984
Ordering information: This journal article can be ordered from
http://www.blackwell ... s.asp?ref=00022-2380
Access Statistics for this article
Journal of Management Studies is currently edited by Timothy Clark, Steven W. Floyd and Mike Wright
More articles in Journal of Management Studies from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().