Board of directors' independence and executive compensation disclosure transparency
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This paper aims to investigate the relationship between board of directors' independence and executive compensation disclosures transparency. Design/methodology/approach The paper examines compensation disclosure practices of a sample of 181 firms listed on the Toronto Stock Exchange. Board independence from management is assessed through an aggregate score which takes into account the proportion of independent directors, board leadership structure (i.e. CEO is the board chairperson), and the existence and independence of board committees. A cross‐sectional regression analysis is used to examine the relationship between board independence and the extent of compensation disclosure. Findings The paper finds that board independence from management is positively related to the transparency of executive compensation‐related information. In addition, this study documents a positive (negative) relation between firm size, US cross‐listing, growth opportunities (leverage) and the extent of executive compensation disclosure. Research limitations/implications The study's results provide support to the managerial opportunism hypothesis in executive compensation. These findings highlight the importance of the board of directors as an effective governance mechanism which limits managerial rent‐seeking in the design as well as the disclosure of executive compensation practices. Originality/value This paper extends prior disclosure studies by examining the impact of board characteristics on the transparency of executive compensation disclosures in a principles‐based governance regime. Furthermore, executive compensation disclosure provides an interesting setting in which to examine the ability of the directors to act independently from managers in a conflict of interests situation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| 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 it