Directors’ Remuneration and Firm’s Performance: A Study on Malaysian Listed Firm under Consumer Product Industry
Bibliographic record
Abstract
Remuneration is broadly used as an incentive that affects decisions made and strategies planned by directors which cause great impact on firm performance and profitability. This study aims to investigate the directors’ remuneration of the consumer products sector focusing particularly on Malaysian listed companies under Consumer Product Industry. These firm’s performances are measured by return on assets (ROA) and return on equities (ROE). This study consists a sample of 40 Malaysian listed companies for the period of 2012 to 2014. After controlling for board size, CEO duality, firm size, firm age, and leverage; the regression results show director remuneration has positive relationship with firm performance (measured by ROA and ROE). This suggests that high remuneration is able to motivate and retain directors in order to perform their duty and work harder for the best interest of shareholders. The result also shows all variables affect firm performance differently. For future research, we recommend that this study be expanded using more samples from other industries and other measurement of firm performances such as growth and ratings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".