Bibliographic record
Abstract
This paper evaluates the effects of the EU-Vietnam Free Trade Agreement (EVFTA) and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) on Vietnam's trade flow.The study employed a gravity model with two panel datasets.The first one is for the EVFTA and consists of trade activity between Vietnam and 27 European countries over a period of 20 years, from 2000 to 2020.The second dataset consists of trade between Vietnam and seven partner members of the CPTPP, including Australia, Canada, Japan, Mexico, New Zealand, Singapore, and Peru, during the same period.The results show that the EVFTA has a higher positive impact than the CPTPP agreement on Vietnam's total trade flow.In brief, reducing tariffs could increase the trade flow between Vietnam and other members of the two free trade agreements, and the effect of tariffs on Vietnam's trade flow in the EVFTA is higher than that in the CPTPP.The trade flow is also driven by population, per capita gross domestic product (GDP), exchange rates, trade openness, distance, and oil price.Based on the study's results, the author identifies some policy implications for Vietnam to take advantage of the EVFTA and the CPTPP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".