Gender and Poverty Reduction in Ghana: The Role of Microfinance Institutions
Bibliographic record
Abstract
Inequality between men and women is widely acknowledged across many parts of the globe. For example, among paid employees in Ghana, women’s average hourly earnings were around 67% of men. The disparity in earnings perpetuates poverty. Access to financial resources is widely regarded as crucial machinery to addressing this gender disparity and reducing poverty among women. Microfinance is a conduit to increasing access to finance among poor urban and rural women who usually lack the collateral to access loans from traditional financial institutions. Notwithstanding the vital role microfinance institutions play, there is no consensus on the assertion that its impact is generally favourable. Therefore, this study investigated the role of microfinance on health, education, and standard of living, as dimensions of poverty reduction in the Techiman Municipality of Ghana. The results indicate that access to microfinance services positively correlates to health, education, living standards and poverty reduction. Therefore, it is essential to extend the reach of microfinance services to increase access further to finance and, consequently, accelerate the rate of poverty reduction within the Municipality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".