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Record W2559930426 · doi:10.1017/s204425131600028x

“Reverse Permissibility” in the Renewable Energy Sector: Going Beyond the US-India Solar Cells Dispute

2016· article· en· W2559930426 on OpenAlexaboutno aff
Umair Ghori

Bibliographic record

VenueAsian Journal of International Law · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyRenewable energyTariffStatus quoFeed-in tariffInvestment (military)Government (linguistics)BusinessState (computer science)Energy subsidiesPromotion (chess)International tradeInternational economicsEconomicsEnergy policyMarket economyPolitical scienceLawEngineeringPolitics

Abstract

fetched live from OpenAlex

Abstract Recent years have witnessed a rise in conflict between WTO members over the use of state subsidies designed to promote the renewable energy sector. Government subsidies are seen by domestic polic-ymakers as a key catalyst in attracting foreign investment, building capacity, and meeting other domestic policy goals. However, subsidies and other state incentivization programmes often carry trade-distorting effects. This paper examines the current state of WTO law and jurisprudence on subsidies extended to achieve environmental goals, in particular the Canada-Renewable Energy/Feed-in Tariff case and the more recent India-Solar Cells case which higlights the localization problem in the renewable energy sector. The case outcome shows that the WTO continues to maintain the status quo by prioritizing free trade over environmental considerations. The paper also discusses the possibility of reform in the GATT/WTO framework for promotion of renewable energy initiatives while maintaining the integrity of the system.

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)0.000
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: none
Teacher disagreement score0.796
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.227
Teacher spread0.197 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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