The Influence of Female Corporate Leadership on the Profitability of Leading Canadian Businesses
Bibliographic record
Abstract
The rise in female corporate leadership plays a transformative role in driving innovation, fostering inclusivity, and enhancing firm performance. Despite a greater focus on female representation in management teams, executive officers, and executive boards, women encounter various obstacles that make it challenging to contribute in ways similar to those of their male counterparts. Previous research has recognized the relationship between female leadership in a company and the profitability of that company. While there is a lack of academic literature to suggest a positive correlation between female Chief Executive Officers (CEOs) and profitability, numerous studies find that female CEOs play a crucial role in adopting hiring practices and promotion systems that emphasize gender equality. The trend of greater proportions of female executives being correlated with greater profitability has been thoroughly analyzed by various researchers. This study utilizes data from annual reports of the leading Canadian businesses with and without female CEOs from 2020-2023 to calculate their net profit margins as a metric of profitability. The net profit margin for each year is then compared to the percentage of female executives to observe the relationship between female corporate leadership and profitability. The findings from this study indicate that female CEOs alone do not have an impact on profitability, but by encouraging other women to step into executive and management positions, they indirectly improve a firm’s performance. This study finds a positive correlation between the percentage of female executives and the profitability of a firm, underscoring the importance of female representation in business.
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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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".