The Effect of Financial Inclusion on Enterprise Performance in Cameroon
Bibliographic record
Abstract
Financial inclusion is an important policy objective in many countries, including Cameroon. The aim is to provide access to financial services to all segments of the population, including those who are traditionally excluded from the formal financial system. This paper examines the effect of financial inclusion on enterprise performance in Cameroon. Specifically, it investigates how access to financial services affects the financial performance of enterprises in the Cameroon. The study uses quantitative method to analyse data from a sample of enterprises operating in different sectors of the economy. The findings suggest that financial inclusion has a positive effect on enterprise performance, as it enables enterprises to access credit, use financial services, and make strategic investments. However, the impact of financial inclusion is not uniform across different types of enterprises, and there are some challenges that need to be addressed to ensure that the benefits of financial inclusion are widely shared. The paper discovered that financial inclusion can be measured through various indicators such as access to financial services, usage of financial services, and quality of financial services. The paper concludes with some policy recommendations for promoting financial inclusion and improving enterprise performance in Cameroon.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".