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Record W2937820489

Redesigning the Energy Charter Treaty to Advance the Low-Carbon Transition

2019· article· en· W2937820489 on OpenAlexaff
Nathalie Bernasconi-Osterwalder, Martin Dietrich Brauch

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsInternational Institute for Sustainable Development
Fundersnot available
KeywordsTreatyCharterRenewable energyGreenhouse gasUnited Nations Framework Convention on Climate ChangeEnergy lawEnergy transitionBusinessClimate change mitigationClimate changeInternational tradePolitical scienceKyoto ProtocolEngineeringEnvironmental lawLaw
DOInot available

Abstract

fetched live from OpenAlex

The Energy Charter Treaty (ECT), if revised, could have a particularly important role to play, given the importance of the energy sector in relation to both contributing to global warming and providing climate change solutions. Unlike most other investment treaties and chapters in trade agreements covering all sectors and measures indiscriminately, the ECT covers only activities in the energy sector. It covers indiscriminately a large range of activities relating to oil, gas, and coal, as well as wind and solar power and other renewable energy sources. At a time when climate change is a top priority and the most pressing environmental and developmental issue for the future of our planet, a revised ECT should, from a normative perspective, play an important role in the transition from fossil fuel–based energy to renewable, clean energy. In order to ensure mutual supportiveness between environmental and economic goals set at the international level, the ECT should be redesigned to be brought in line with and help achieve states’ international commitment under the Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC). This paper discusses the ECT and the Paris Agreement regimes, as well as their inter-relationship, highlighting how they pull in different directions. It presents three building blocks that could be adopted in a revised ECT to align it with the Paris Agreement: encouraging low-carbon energy investments; discouraging carbon-intensive energy investments; and ensuring a just transition to low-carbon economies and societies. Finally, it proposes ways to reform the ECT, through a climate lens as well as through a broader socio-economic sustainability lens.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.442

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 science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.207
Teacher spread0.190 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

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