Directors’ compensation and firm performance in pharmaceuticals, chemicals and paper industry of Bangladesh
Bibliographic record
Abstract
Theories working in the developed world sometimes fail to prove their accuracy in the developing world. So, researchers study these theories based on various countries, on different timelines as the real world is not so straight forward as theories & assumptions. In Bangladesh, very little work has been done regarding the effect of directors’ compensation on firm performance. So, this study has been undertaken to examine the relationship between these two. To test the theory a model comprising the age of the firm, log value of its assets, total asset turnover, firm size, and firm performance was developed. Using a sample of 38 listed firms of DSE from the Pharmaceutical & Chemical and Paper & Printing Industry as per the DSE website fixed-effect model & random effect model was run on the data from 2015 to 2021. And as the Hausman test suggested, the fixed-effect model is chosen to be more fit for BEP (Basic Earning Power). The focus of the study was the impact of directors’ compensation on firm performance. According to the analysis, it showed a negative correlation between directors’ compensation and firm performance. Firm size and asset turnover ratio have moderately positive correlation to the firm’s performance. On the other hand, board independence holds an opposite relation. It was also found that the firm’s age and board size have little to no correlation to the firm’s performance.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| 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".