Corporate Governance Mechanisms, Whistle-Blowing Policy and Real Earnings Management
Bibliographic record
Abstract
The purpose of this study is to investigate whether the mechanisms of corporate governance (CG) in firms that have a policy of whistle-blowing (WBP) are more effective in mitigating real earnings management (REM) than those without WBP. To achieve this objective, the sample of the study, 288 Malaysian firms for the years 2013 to 2015, have been grouped into firms with and without WBP. In addition, the Roychowdhury Models were used to determine the abnormal levels of the REM. The results show that most of the CG mechanisms, i.e., audit committee (AC) size, AC meetings, AC independence and auditor size in firms with WBP are found to be significantly associated with low level of REM which supporting agency and resource dependence theories. However, only board independence and ownership concentration are found to be significantly associated with high level of REM. Regarding firms without WBP, most of the CG mechanisms, i.e., AC size, women in the AC, AC accenting expertise and ownership concentration, are found to be significantly associated with high level of REM. However, only board meetings, AC multiple directorships and auditor size are found to be significantly associated with low level of REM. The finding of this study suggests that having WBP in a firm could improve the monitoring role of the CG mechanisms towards mitigating REM. However, strengthening the role of WBP is still necessary to improve the efficiency of the monitoring role of CG mechanisms. Hence, there is a need for more policy and law that could encourage whistle-blowers to disclose any misconducts in firms and at the same time, prevent management from undermining the effectiveness of the whistle-blowing policy. The findings of this study will enrich the body of literature where there is no previous study has been done in respect of REM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".