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Record W2734694976

Climate Changes Disputes at the World Trade Organization: National Energy Policies and International Trade Liability

2013· article· en· W2734694976 on OpenAlexaboutno aff
Nilmini Silva-Send

Bibliographic record

VenueDigital USD (University of San Diego) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeLiabilityWorld tradeBusinessTrade barrierClimate changeInternational economicsEconomicsFinance
DOInot available

Abstract

fetched live from OpenAlex

This Article draws attention to the different outcomes that may result when WTO law is applied to resolve climate related national energy policy disputes, signals this might send for national energy policies, and how a subtle effect of indirect state liability may arise. Several pending or unresolved complaints currently at the WTO are used to demonstrate these effects. The complaints include the greenhouse gas controversy, the wind energy subsidies complaint, and the feed-in tariffs complaint. The next section, Section II, presents the basic WTO obligations of the four countries involved in these complaints (Japan, Canada, USA, China), and ways that state liability can theoretically arise. Section III explains, with some example cases, how the consistency of national environmental policies with WTO laws has previously been decided. Section IV explains the main energy-related obligations of the countries under the international climate change regime. Section V discusses those unresolved complaints in light of the countries’ WTO and climate regime obligations. Finally, the article concludes by demonstrating that the WTO not only has the power to change the direction of countries’ energy policies, but its decisions may also lead to indirect state liability. It should be noted that this paper is not about the compatibility of national energy policies with WTO law per se. Therefore there is no exhaustive discussion of all analogous environmental compatibility cases. Select cases are discussed only as indicators of WTO’s potential to change national (energy) policies as well as to lead to a subtle and indirect effect on state liability.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.845
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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