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Record W3093976458 · doi:10.5430/rwe.v11n5p341

The Determinants of Vietnam’s Exports to CPTPP Members: A Gravity Model Approach

2020· article· en· W3093976458 on OpenAlexvenueno aff
Thanh Hoan Phan

Bibliographic record

VenueResearch in World Economy · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsGravity model of tradeTariffEconomicsExchange rateForeign direct investmentPanel dataInternational economicsInvestment (military)Gravity equationMonetary economicsBilateral tradeMacroeconomicsEconometricsGeography

Abstract

fetched live from OpenAlex

This study examines the determinants of Vietnam’s export to CPTPP by applying the gravity model to panel data for the period of 2003-2016. Besides the conventional variables such as economic size and distance between trade parties; exchange rate, bilateral tariff, income gap, and foreign direct investment (FDI) are included in the model. The results show that the export of Vietnam to CPTPP is influenced by economic size (GDP), income gap, bilateral tariffs, FDI, and exchange rate. Among the impact factors, economic size, exchange rate, and income gap have significant impact on Vietnam's exports to CPTPP. The trade potential between Vietnam and CPTPP is also calculated based on gravity model results. Vietnam’s export to CPTPP is predicted to expand significantly in its member markets.

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)0.002
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.275
GPT teacher head0.329
Teacher spread0.055 · 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 designSimulation or modeling
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
Published2020
Admission routes1
Has abstractyes

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