Corporate Governance Practices and Firm’s Capital Structure Decisions: An Empirical Evidence of An Emerging Economy
Bibliographic record
Abstract
There is a growing body of literature that recognises the importance of corporate governance practices on capital structure decisions. However, results are not consistent and only a few studies have been able to draw on any systematic research trying to quantify the relation between corporate governance practices and capital structure decisions and to acquire bits of knowledge of such relation of listed firms in Emerging Economies. Because of the fact that impact use of the corporate governance rules can have on capital structure decisions.The main driver of this research is to investigate the sound use of the Egyptian corporate governance practices on capital structure decisions of listed firms in Egypt over the period 2007 to 2016 utilizing a sample of 50 listed firms in EGX 100. Empirical results demonstrate the significant relationship between various inner and outer corporate governance practices and capital structure decisions of listed firms in Egypt. The findings were quantitatively approved through utilizing E-Views programming for examining panel data. Descriptive statistics, Multi-Collinearity test, Hausman test and multiple regression have been utilized to distinguish the major determinates of capital structure decisions and assess whether it has a significant impact on capital structure decisions.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.012 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".