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Record W2998153307 · doi:10.1163/22119000-12340161

Currency Manipulation and WTO Laws: Should the Anti-Dumping Mechanism Be Entirely Dumped?

2019· article· en· W2998153307 on OpenAlexaff
Chen Yu

Bibliographic record

VenueThe Journal of World Investment & Trade · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsDumpingCurrencyDevaluationSubsidyInternational economicsEconomicsMultilateral trade negotiationsNegotiationInternational tradeBusinessTrade barrierMonetary economicsLawMarket economyPolitical science

Abstract

fetched live from OpenAlex

Abstract Currency devaluation resembles subsidy and dumping in terms of its impact on global trade – it grants price advantages to exporting companies. Unlike subsidy and dumping, however, multilateral regulation of currency manipulation is far from sufficient. The World Trade Organization (WTO), whose core principles are undermined by currency manipulation, plays no role in the regulatory framework. This article discusses possible avenues for the WTO to combat currency manipulation in future negotiations. Particularly, it proposes a new approach, which is to allow the application of the surrogate price method in anti-dumping investigations against currency manipulators. The anti-dumping mechanism has long been overlooked in the relevant literature as it is believed to combat company-level activities rather than State-level activities. This new approach proposes to treat fundamental exchange rate misalignment as a special market condition which allows anti-dumping investigation authorities to use the surrogate price method to eliminate the trade distortion caused by it.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.297
Teacher spread0.244 · 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 designTheoretical or conceptual
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

Citations4
Published2019
Admission routes1
Has abstractyes

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