| Issue |
SHS Web Conf.
Volume 124, 2021
International Conference on Management, Social Sciences & Humanities (ICMeSH 2020)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 10 | |
| Section | Part 2 - Business and Economy for Sustainable Future | |
| DOI | https://doi.org/10.1051/shsconf/202112404005 | |
| Published online | 15 November 2021 | |
An Evaluation of Corporate Governance Characteristics and Corporate Performance between Government-Linked Companies (GLCs) in Malaysia and Singapore: A Panel Data Analysis
1 Department of Accountancy, Faculty of Accountancy and Management, Universiti Tunku Abdul Rahman
2 Department of International Business, Faculty of Accountancy and Management, Universiti Tunku Abdul Rahman
* Corresponding author: ngcy@utar.edu.my
This research seeks to investigate whether corporate governance contributes to the Government-link public listed companies’ performance in Malaysia and Singapore. A sample consisting of 20 Malaysian Government-linked public listed companies and 20 Singaporean Government-linked public listed companies were selected. The research timeframe covers from 2012 to 2017. Findings revealed that except for board meetings and independent directors, 4 other independent variables were statistically significant in affecting the Malaysian and Singaporean government-link public listed companies’ performance. Directors’ ownership had a significant negative impact on ROA and ROE in Malaysia but had no impact in Singapore. Board meetings and independent directors had no impact towards firm performance in both countries. Board size had positive and significant impact on ROE in Singapore. Number of women directors was significantly negatively related to Tobin’s Q, ROA and ROE. Leverage level was significantly negatively related to all firm performance’s measures in Malaysia, while only significantly related to Tobin’s Q in Singapore.
© The Authors, published by EDP Sciences, 2021
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.