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Record W4366826451 · doi:10.59276/tckhdt.2023.04.2488

The effectiveness of monetary policy transmission through trade credit channel in Vietnam

2023· article· en· W4366826451 on OpenAlexaboutno aff
Hà Trang Lê, Ngọc Thắng Đoàn, Thùy Linh Vũ, Ngọc Yến Mạnh

Bibliographic record

VenueTạp chí Khoa học và Đào tạo Ngân hàng · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCredit channelMonetary policyQuarter (Canadian coin)Economic shortagePanel dataBusinessChannel (broadcasting)EconomicsFinancial systemContext (archaeology)Monetary economicsInflation targeting

Abstract

fetched live from OpenAlex

Existing research in Vietnam mainly focuses on the traditional transmission channels of monetary policy. This article investigates the effectiveness of monetary policy transmission through an alternative funding channel for bank credit, which is the trade credit channel. Panel data regression was conducted with datasets from 501 Vietnamese enterprises in the period of the second quarter of 2010 to the second quarter of 2020. The results show that most enterprises in Vietnam do not have the ability to use trade credit as an alternative fund for bank credit in the context of monetary tightening, thereby helping to maintain or even increase the transmission efficiency of monetary policy. The transmission of monetary policy through the trade credit channel is most effective for enterprises with low credit ratings and is partly weakened for large enterprises, which can use trade credit as complementary short-term financing in the situation of credit supply shortage.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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