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Record W2984971889 · doi:10.5430/afr.v8n4p231

A Comparative Study between Informal and Formal Finance: A Literature Review

2019· review· en· W2984971889 on OpenAlexvenueno aff
Mai Ahmed Abdelzaher

Bibliographic record

VenueAccounting and Finance Research · 2019
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsReciprocity (cultural anthropology)Informal sectorBusinessFinanceDeveloping countryCollateralEconomicsEconomic growthSociology

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.193
GPT teacher head0.420
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations8
Published2019
Admission routes1
Has abstractyes

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