The Impact of Corporate Governance and Political Connectedness on the Financial Performance of Lebanese Banks during the Financial Crisis of 2019–2021
Bibliographic record
Abstract
The Lebanese banking sector has become risky due to political and economic crises. At such times, corporate governance mechanisms ensure objectivity of assessment and rationality in decision making. We examine the impact of internal corporate governance mechanisms on the performance of Lebanese banks, with political involvement in the administration and ownership of the banks. We used linear regression on a sample of 194 bank-year observations from 2016 to 2021. The presence of independent members on boards of directors, and ownership concentration due to family ownership, had positive effects on bank return on assets, return on equity, liquidity levels, and loans issued. Efficient control, along with the presence of audit, and compliance committees reduced risk by increasing capital adequacy and reducing non-performing loans. Both administrative political connections and ownership political connections increased return on assets, increased return on equity, increased liquidity levels, and increased loans to deposits, while increasing non-performing loans. Agency conflicts suggest that granting loans due to political pressure increased non-performing loans.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".