MétaCan
Menu
Back to cohort
Record W4200632558

Implementing the Trade Facilitation Agreement (TFA): estimates of reduction in time at customs for the United Nations' vulnerable economies

2021· other· en· W4200632558 on OpenAlexaff
Jaime de Mélo, Zakaria Sorgho

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2021
Typeother
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTrade facilitationFacilitationReduction (mathematics)International tradeInternational economicsEconomicsFree trade agreementBusinessTrade barrierFree trade
DOInot available

Abstract

fetched live from OpenAlex

All members of the WTO participate in the Trade Facilitation Agreement (TFA) that is to reduce border and documentary compliance in customs. Successful implementation should benefit all countries, the developing countries and more particularly the three categories of vulnerable countries receiving special status at the UN: Least Developed Countries (LDCs), the Landlocked Developing Countries (LLDCs) and the Small Island Developing States (SIDS). This paper gives plausible estimates (in the sense of realizable at the country and group levels) of reduction in trade costs from a successful implementing of the TFA. The paper starts with a presentation of the TFA noting its two principal characteristics. First, the TFA is a rules-based bottom-up approach built into the agreement that takes into account countries' implementation capabilities, an important feature for the three groups of UN vulnerable countries. Second, the TFA provisions are monitorable (e.g. provisions like the publication of information, advance rulings, appeal or review of decisions, transparency, and border agency cooperation). In preparation for the agreement, the OECD has assembled large amount of indicators of the state of implementation of provisions in the TFA summarized in a TFI (Trade Facilitation Index). TFI values for 2019 are then used to evaluate econometrically the impact of implementing TFA on the waiting-time reduction at customs for a sample of 160 countries. Average ad-valorem equivalents (AVEs) of reduction of time in customs estimates for each UN-grouping (LDCs, LLDCs, and SIDS) show averages in the range 2.1%-2.9% for imports and 1.9%-2-7% for exports. Larger gains are obtained for a more ambitious implementation of the TFA. Importantly, gains are larger for each of the three groupings than for other developing countries, a corroboration that the UN vulnerable categories capture an aspect of vulnerability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicWorld Trade Organization LawFrench-language works237,207