Corporate Ownership, Corporate Control and Corporate Performance in Sub-Saharan African: Evidence from Nigeria
Bibliographic record
Abstract
This paper investigates the relation between corporate ownership and corporate performance of listed companies in Nigeria, a foremost Sub-Saharan African country during the period 2002-2007. The data is obtained from the firms’ annual reports and accounts and the Nigerian Stock Exchange daily performance reports. The combination of 70 firms and six-year period studied provides a balanced panel with 420 observations for panel data analysis. The results from the ordinary least square (OLS) regression analyses show that there is a strong connection between foreign ownership structure and firm performance. Foreign ownership structure is found to exhibit significant improvements in firm performance; it adumbrates eclectic competitive advantages in ownership, control and internalization respects over other types of ownership structure. We find no statistically significant relation between concentrated ownership and firm performance. Insider or managerial ownership, however, exhibits significant decline in firm performance. These findings are consistent with the view that firm performance is a negative predictor of insider ownership. We also find support for the notion that management is apathetic to holding equity stakes in their underperforming firms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".