Corporate Governance and Firm Performance: An Empirical Analysis of Manufacturing Listed Firms in Ghana
Why this work is in the frame
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Bibliographic record
Abstract
This paper assesses the effect of corporate governance on the financial performance of manufacturing firms in a developing country. Specifically, the paper investigates whether gender diversity, board independence, and board size affects return on asset (ROA) and return on equity (ROE) of manufacturing listed firms in Ghana. We use the generalized least squares (GLS) panel regression model to analyze the dataset of 11 listed manufacturing firms from 2009-2013. Our result reveals an insignificant representation of women on boards. Also, the empirical result shows that board independence and board gender diversity have significant positive effect on ROE and ROA. However, there is no statistical significant relationship between board size and firm performance (ROE and ROA). We suggest that manufacturing firms should appoint female board members as well as outside directors on their boards as this can make significant contribution to firm’s performance. Our study provides the first comprehensive explicit exposition of corporate governance-performance nexus using data from the manufacturing sector in Ghana.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it