MétaCan
Menu
Back to cohort
Record W2484113684

Determinants of Successful Access to Bank Loans by Vietnamese SMEs: New Evidence from the Red River Delta

2016· article· en· W2484113684 on OpenAlexvenueno aff
Minh Son Nguyen, Simon Wolfe

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCollateralAccess to financeVietnameseBusinessOrdinary least squaresFinanceLogitTrade financeKey (lock)Small and medium-sized enterprisesIndustrial organizationEconomicsPublic financeComputer science
DOInot available

Abstract

fetched live from OpenAlex

A key target of Small and Medium sized Enterprise (SME) development is facilitating their access to finance, therefore drivers in SME credit decision making by banks are important to understand in every region and country. This paper provides an empirical analysis of the factors affecting the availability and affordability of SME loans in Vietnam. We use Ordinary Least Squares (OLS) and Logit as measures for analysing results from a survey of 20 banks and 180 SMEs conducted in 2012. The results indicate that collateral and relationship lending have positive impacts on successful access. In addition, developing relationships with lenders or seeking a guarantee from a third party can help firms mitigate stringent terms and conditions for credit approvals. On the demand side, the sector where firms operate has an influence on barriers to finance. From the supply side, with various sizes and ownerships, has different perceptions about legal uncertainties and requirements in SME lending.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.028
GPT teacher head0.271
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations12
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Internet Banking and CommerceSame topicIslamic Finance and Banking StudiesFrench-language works237,207