Published by Canadian Center of Science and Education 189 Governance and Performance of Tunisian Banks
Bibliographic record
Abstract
Developing banking standards is an important process for a country’s financial and economic well being. Their importance incites governments to insure the stability and the good performance of their banking systems. Accordingly, several researchers pay a particular attention to banking governance. Specifically, shareholders-managers ’ convergence of interests and the possible repercussions of these on the performance of banks can be avoided only by implementing a solid system of governance. The main purpose of this article is to determine the impact of governance on the performance of banks, through an empirical study of a sample of 10 Tunisian banks during the period 1997-2007. Our empirical investigation shows a positive association between external administrators and performance. It is worth noting that a high number of administrators results in a negative effect on performance. The results also reveal that managers lack control while the board of directors seems to exert a lot of power. This state of affairs results from the fact of associating the role of the manager with that of the board of directors. Finally, our results reveal a negative association between the presence of a group of dominant shareholders and performance, a phenomenon which might be explained in terms of private appropriation of benefits.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.632 | 0.180 |
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".