MétaCan
Menu
Back to cohort
Record W2158856133 · doi:10.1017/s1355770x00000255

Trade and environment: policy linkages

2000· article· en· W2158856133 on OpenAlexaff
Brian R. Copeland

Bibliographic record

VenueEnvironment and Development Economics · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEconomicsInternational economicsPareto principleIncentiveFree tradeInternational tradeCommercial policyEnvironmental policyPollutionNegotiationTrade barrierNatural resource economicsMicroeconomics

Abstract

fetched live from OpenAlex

This paper develops a simple model to investigate linkages between trade and environmental policy. In the case of purely local pollution, trade liberalization without constraints on environmental policy induces a non-cooperative game between countries in pollution policy. Without any agreement on environmental policy, trade negotiations are unlikely to lead to a point on the Pareto frontier. When pollution is global, countries may be expected to disagree on linkages between trade agreements and environmental agreements. Countries importing pollution-intensive goods have an incentive to try to link trade agreements with environmental agreements, while countries exporting pollution-intensive goods have an incentive to try to obtain a binding commitment to free trade prior to negotiations over global pollution.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0050.007
Open science0.0010.002
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0290.001

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 head0.040
GPT teacher head0.191
Teacher spread0.152 · 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 designNot applicable
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

Citations47
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueEnvironment and Development EconomicsSame topicClimate Change Policy and EconomicsFrench-language works237,207