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Record W3122027471

Regional versus Multilateral Trade Liberalization, Environmental Taxation and Welfare

2011· article· en· W3122027471 on OpenAlexaff
Soham Baksi

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsLiberalizationRegionalism (politics)EconomicsTariffFree tradeWelfare economicsWelfareInternational tradeEconomyPolitical scienceInternational economicsMarket economyPolitics
DOInot available

Abstract

fetched live from OpenAlex

We consider strategic trade among identical countries and compare the impacts of multilateral versus regional tariff reduction on equilibrium pollution tax and social welfare. While both forms of trade liberalization increase production and consumption in the tariff-reducing countries, regional trade liberalization also reduces production in a non-participating country and may decrease its consumption. When pollution is local, regional and multilateral trade liberalization have similar impacts in the tariff-reducing countries. In contrast, when pollution is perfectly transboundary, regional (multilateral) trade liberalization (i) weakens (may strengthen) environmental protection in the tariff-reducing countries, and (ii) in the neighbourhood of free trade, may increase (decreases) welfare of the tariff-reducing countries.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.194
Teacher spread0.164 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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