Is top-management remuneration influenced by board characteristics?
Bibliographic record
Abstract
Purpose – The purpose of this article is to examine if certain board characteristics have an impact on the total remuneration of top management and the ratio of stock-based remuneration to total top-management remuneration. Design/methodology/approach – The study draws on data from the largest public Canadian companies, the constituents of the TSX/60 index. The study controls for firm size and profitability. Findings – The authors concludes that total remuneration of top management is directly linked to board-member total remuneration and the board average number of director-tenure years. The study also shows that the ratio of stock-based to total top-management remuneration is positively affected by the percentage of independent directors, total remuneration of board directors, the ratio of stock-based remuneration of directors to their total remuneration and the average number of tenure years of the board of directors. Practical implications – If regulators are determined to curb the excesses in top-management remuneration by means of promoting boards with certain characteristics, they should implement measures facilitating the control of directors’ remuneration and tenure, to discourage cronyistic behavior. Good corporate governance requires that the board act as a counterbalance to top management, ensuring that a substantial percentage of top-executive total compensation is variable, and not fixed. According to our findings, the boards that are the most likely to hold managerial avoidance of variable pay in check are those favoring director independence, variable director remuneration and longer director tenures. Social implications – The present article examines specifically the latter aspect, namely, the role of board characteristics (independence, size, compensation, board director ownership and tenure, etc.) in the determination of top-management compensation. This relationship is important because it allows us to further the analysis of corporate governance. If the above-mentioned traits of boards have a meaningful relationship with the compensation of the top management, one might conclude that certain practices in the composition of boards could influence good corporate governance practices. This is relevant for regulatory agencies, for investors and for corporations. Originality/value – The article adds to the extant literature in a number of ways. Firstly, it considers the role of the traits of the board in the determination of the compensation of the top-management teams, and not only of the chief executive officer, as is the focus of previous literature. Secondly, the article focuses on the power interplay between boards and managers, and, more particularly, on the ability of boards to be an effective mechanism of corporate governance. Finally, the article examines the potential impact of board traits in the determination of top-management compensation in the context of Canadian firms, a subject that has received less attention from academic research, which has mostly concentrated on analyzing the issue in the US context.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.009 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".