A Comparative Study between Informal and Formal Finance: A Literature Review
Bibliographic record
Abstract
The informal credit system is a prevailing form of economic exchange in emerging countries. It is the predominant form of credit in rural communities because it is based on a culture of reciprocity (Family participation-relatives-Loyalty-friends-Neighbour). Informal finance contributes significantly to the growth of small and medium-sized enterprises (SMEs). The present study justifies the wide application of informal finance. We find that these projects suffer from the problem of asymmetrical information. They also offer few guarantees. Informal financiers have an advantage over formal financial organizations, in gathering information on lenders in SMEs. The aim of our study was to explore formal and informal credit systems and to explain the prevalence of informal systems in developing countries. The study concluded that credit from informal sources is superior to credit from formal sources because it results in low rates of default on loans. The study also showed that informal finance and commercial credit have a positive impact on the performance of private companies, measured using the rate of return on assets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".