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Record W306064770 · doi:10.15173/esr.v9i1.407

The Kyoto Protocol, Inter-Provincial Cooperation, and Energy Trading: A Systems Analysis with integrated MARKAL Models

2000· article· en· W306064770 on OpenAlexaffvenueabout
Richard Loulou, Amit Kanudia

Bibliographic record

VenueEnergy Studies Review · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsMcGill UniversityGroup for Research in Decision Analysis
FundersU.S. Department of Energy
KeywordsKyoto ProtocolGreenhouse gasElectricityEmissions tradingProtocol (science)Order (exchange)Energy exchangeEnvironmental economicsElectricity systemBusinessNatural resource economicsEconomicsEnvironmental resource managementElectricity generationFinanceEngineeringEcologyPower (physics)

Abstract

fetched live from OpenAlex

specified by the Kyoto protocol for three Canadian provinces, Ontario, Quebec, and Alberta. We analyze four scenarios, each specifYing a certain level of cooperation (i.e. oftrading ofemission permits and of electricity) between the provinces. To effect these analysesJour MARKAL models (onefor each province and one for the US) are used in a multi-regional framework that endogenizes energy and permit exchange levels and prices. The US model is included in the analysis in order to correctly simulate the important natural gas market between Canada and the USA. The results indicate that both permit trading and electricity exchanges are capable of significantly reducing the direct costs of abiding by the Kyoto protoco!. The paper also includes an analysis of the the main policy issues faced by the three provinces while planning for a concerted effort to abate GHG emissions

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.833

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.093
GPT teacher head0.278
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations33
Published2000
Admission routes3
Has abstractyes

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