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Record W1509394220 · doi:10.15458/2335-4216.1259

The Kyoto protocol in a global perspective

2009· article· en· W1509394220 on OpenAlexaboutno aff
Andreja Cirman, Polona Domadenik, Matjaž Koman, Tjaša Redek

Bibliographic record

VenueEconomic and business review · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolGreenhouse gasUnited Nations Framework Convention on Climate ChangeGlobal warmingClimate changeWelfareJoint ImplementationConventionMontreal ProtocolChinaEconomicsInternational tradeNatural resource economicsInternational economicsGeographyPolitical scienceMarket economyMeteorologyEcology

Abstract

fetched live from OpenAlex

The global climate has changed notably since the beginning of the Industrial Revolution. Atmospheric concentrations of greenhouse gasses (GHG) have increased dramatically followed by an increase in global average temperature. In order to avoid negative potential outcomes of global warming, countries have adopted the United Nations Framework Convention on Climate Change that has so far been ratified by 192 countries. In 1997 the Kyoto Protocol, a binding GHG reduction plan, was adopted and entered into force in 2005. But several countries, including the USA, have had doubts about the potential negative consequences of the planned 5% global joint reduction of GHG. However, studies generally show that on a macroeconomic level: (1) welfare loss in terms of GDP and lost growth in EU is low; (2) it differs among economies; and (3) permit trading and permit price (in either global or regional markets) is highly correlated with the welfare loss. The main objective of the paper is to describe the attitudes and responses to the Kyoto Protocol from a global perspective. The paper has three objectives. First, to provide an overview of global greenhouse gas emissions and the big drivers behind these emissions. Second, to present where different countries, both developed and less developed countries, such as India, China and the countries of South-east Europe currently stand as regards their efforts to achieve the Kyoto Protocol requirements. Third, to analyse the responses and attitudes to the Kyoto Protocol from a country development perspective.

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: Review · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score0.718

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.076
GPT teacher head0.325
Teacher spread0.249 · 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
GenreReview

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

Citations25
Published2009
Admission routes1
Has abstractyes

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