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The Political Economy of Strategic Trade Policy and the Brazil–Canada Export Subsidies Saga

2004· article· en· W1990240500 on OpenAlexaboutno aff
Andrea Goldstein, Steven McGuire

Bibliographic record

VenueWorld Economy · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyEconomic rentExternalityInternational tradeCommercial policyPoliticsGovernment (linguistics)EconomicsInternational economicsIndustrial policyBusinessMarket economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

In this paper we study the on‐going trade dispute between Canada and Brazil on export subsidies in the aircraft industry and the reasons for its escalation. This is a peculiar case of strategic trade policy insofar as the good, i.e. regional jets, is heavily dependent on sub‐systems that are imported in the two countries. The hypothesis that the dispute solely derives from the search for rents and externalities is therefore incomplete. Without downplaying the role of interest politics, we argue that in both countries ideas about the goals of trade policy have an important place in explaining why this dispute drags on. For Canada, the belief in a rules‐based trading regime has led it to strongly oppose violations, while insecurity about its competitiveness has led to a variety of government schemes to support firms in advanced sectors like aerospace. For Brazil, its place as a leader of the developing world acted as a rallying point for government and firms alike. The research also argues that the WTO process has actually made a resolution of the dispute more difficult by making it too costly for firms and countries to comply with the costs of losing.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.229
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.046
GPT teacher head0.215
Teacher spread0.169 · 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

Citations13
Published2004
Admission routes1
Has abstractyes

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