Issue |
SHS Web Conf.
Volume 36, 2017
The 2016 4th International Conference on Governance and Accountability (2016 ICGA)
|
|
---|---|---|
Article Number | 00007 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/shsconf/20173600007 | |
Published online | 24 July 2017 |
Corporate Governance & Auditor Choice in Malaysia
Universiti Teknologi Mara
* Corresponding author’ email: wan9513@ns.uitm.edu.my
The aim of this paper is to investigate the determinants of firm’s auditor choice in Malaysia in respect of their corporate governance mechanisms. A logit regression model was developed to test the impact of firms’ internal corporate governance mechanism on auditor choice decisions made by public listed companies listed on main board of Bursa Malaysia from year 2006 to 2015. Five variables are used to proxy for firm’s internal corporate mechanism which are the ownership concentration, the duality of CEO and chairman of BOD, the size of audit committee, the size of BOD and the number of independent directors on the board. All auditors in Malaysia were classified into Big Four and non-Big Four, assuming Big Four auditors can provide higher quality audit services. The final result show that firms with less concentrated ownership, with larger size of audit committee, larger size of the BOD, with lower proportion of independent directors on the board, or in which CEO and BOD’s chairman are not the same person are more likely to hire a high-quality auditor. Hence, it suggests that when benefits from lowering capital raising costs are trivial, firms with good corporate governance mechanism are prone to choose a high-quality auditor.
Key words: Corporate Governance / Auditor Choice / Logit Regression / Firm Risk / Largest Ownership
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.