Stewardship and Corporate Governance in the Banking Sector: Evidence from Nigeria
Bibliographic record
Abstract
A healthy corporate governance culture is imperative in the banking sector where the retention of public confidence remains of utmost importance. In this regard, the board of directors are the essential fulcrum upon which the mechanisms of corporate governance and management rest. In Nigeria, however, poor corporate governance has been identified as one of the major factors in virtually all known instances of distress in banks. This is taking place against the backdrop of the existence of Code of Corporate Governance for organizations (including banks) in Nigeria. This contradiction is evaluated in this study which seeks to identify the challenges of corporate governance faced by directors in the Nigerian banking sector. Using the ex-post facto research design, this study draws on the views of executive and non-executive directors of banks in Nigeria, applying simple percentages, averages and rank order as statistical tools for the analysis of data. The study reveals the major challenges of corporate governance as the ineffectiveness of audit committees and lack of shareholder activism. The study recommends, amongst others that, shareholder activism should be legally required and encouraged and the level of such activism should be reported upon by the chairman in his statement and the auditors in their report. Similarly, audit committee should be responsible for hiring, firing and recommending the fees for non-executive directors and external auditors.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".