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Record W4394930641 · doi:10.1111/rode.13104

The role of formal, informal, and family credit in the business performance of young entrepreneurs in <scp>Benin</scp>

2024· article· en· W4394930641 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueReview of Development Economics · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsUniversité Laval
FundersInternational Development Research Centre
KeywordsFamily businessEconomicsEntrepreneurshipBusinessMicroeconomicsMarketingFinance

Abstract

fetched live from OpenAlex

Abstract This research estimated the impact of credit uptake (formal, informal, and family) on youth entrepreneurship performance in Benin using panel data from a World Bank survey on enterprise formalization. To address potential endogeneity and ensure the robustness of results, we employed multiple models and estimation techniques (fixed‐effects and Lewbel approach). Our results showed that, while formal credit was most important for larger firms, smaller firms benefited mainly from flexible (informal or family) credit. The impact of credit uptake was generally higher for female‐owned firms. There were also variations in uptake according to the firm owner's age. The impact of formal credit was relatively higher for older firm owners while informal credit impacted more younger owners. The findings highlight the importance of informal and family credit sources, especially for start‐ups and small firms.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.184
Teacher spread0.177 · 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