Bibliographic record
Abstract
Agency problem occurs due to separation of management and shareholders and management compensation and corporate governance have received massive attention in academic research to mitigate the agency problem.Corporate governance acts as a mechanism to align the interest of management with shareholders.Management compensation and good corporate governance reduce the agency problem (Jensen and Meckling, 1976).Corporate governance (including compensation based on performance and proper monitoring) and compensation disclosure are the two key instruments to resolve agency conflict (Clarkson et al., 2011).Management compensation and corporate governance ensure better monitoring, transparency and accountability and meet the company's objective or shareholders demand of value maximization and interest of other stakeholders.Thus, management compensation and corporate governance are emerging issues in academic research nowadays.To date, most of the prior empirical research examined the CEO compensation and corporate governance using firms of different countries like US, UK, Australia, Canada, Japan, China, and Malaysia etc.But the research on CEO compensation and corporate governance have not been examined yet in the developing country especially in Bangladesh in compare to other developed and developing countries.Thus, there is a scarcity of research in the field of CEO compensation and corporate governance using data from Bangladeshi firms especially in the banking sector.In Bangladesh, banking sector is growing very fast and it is considered as the promising sector due to its contribution to a significant percentage in national GDP.It is well known that banking sector is well structured, comply the rules regulation properly and disclosure is higher in compare to other companies in Bangladesh.But till now, there is dearth of research study on CEO compensation and corporate governance which especially focuses on the determinants of CEO compensation, quality of CEO compensation disclosure, the major determinants of CEO compensation disclosure, quality of corporate governance and the significant indicators of corporate governance quality in the listed banks of Bangladesh.Moreover, there is no database or index to assess the quality of CEO compensation disclosure and quality of corporate governance in the listed banks.Thus, there is a gap of research especially in the pay and governance literature of Bangladesh.This gap of research inspires me to do my research on CEO compensation and
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".