Revisiting corporate governance mechanisms and real earnings management activities in emerging economies
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 study aims to investigate the effects of main corporate governance (CG) mechanisms used in Iran on the relationship between managers’ rewards and real earnings management activities. Design/methodology/approach Panel data analysis is performed on 101 companies listed on the Tehran Stock Exchange during the past seven years (from 2015 to 2021). Findings The percentage of non-executive members of the company’s board of directors and the percentage of acquisition of the company’s largest shareholders have a negative significant effect on the relationship between abnormal operating cash flows and managers’ remuneration. Moreover, the separation of the CEO from the chairman and vice chairman of the board has also a negative significant effect on this relationship. However, concentration of ownership does not have a significant effect on the relationship between abnormal operating cash flows and managers’ rewards. Practical implications The study provides policymakers and governing bodies with a better understanding of the effects of the percentage of non-executive board members, concentration of ownership, percentage of major shareholders and duality of the role of CEO (or president) from the chairman and vice chairman of the board on the relationship between managers’ rewards and earnings management. Originality/value Previous studies focus mainly on accrual-based earnings management. This study investigates real earnings management and provides empirical evidence on the most effective and significant CG dimensions in Iran. It embraces the fact that CG may have the same principal concept in different markets, but the mechanisms may vary significantly, thus opening the door for more comparative future research.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| 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