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Record W7145750481

Duty-Free, Quota-Free Market Access Initiative: A Review

2023· article· en· W7145750481 on OpenAlexaboutno aff
匡 伊藤, 克典 白井, Tadashi Ito, Katsunori Shirai

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionChinaMarket accessTariffLeast Developed CountriesDeveloping country
DOInot available

Abstract

fetched live from OpenAlex

This study reviewed the DFQF access initiatives for the LDCs agreed at the WTO meeting in 2005. After explaining the background of the DFQF initiatives, we summarised the DFQF initiatives of the major developed-country members along with the cases of South Korea and China. The developed member countries began preferential treatment of LDCs in the 1970s and 1980s before accelerating their initiatives in the early 2000s.Further enhancements were implemented in and after 2005. The initiatives of the European Union, Canada, Australia, and Japan are not selective for either countries or products while the zero-tariff scheme of the United States is somewhat selective. The initiatives of South Korea and China are selective with regard to products and/or countries. While the European Union, Canada, Australia, and Japan have achieved almost full zero-tariff coverage of all tariff lines, the coverage ratio of the United States has reached about 85%. Econometric analyses using the triple difference estimator method showed that the DFQF programmes of Australia and Canada were found to be positively associated with LDC exports to these countries whereas those of the United States, Japan, and the European Union show no positive association.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.119
GPT teacher head0.284
Teacher spread0.166 · 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.

Study designNot applicable
Domainnot available
GenreOther

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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