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Record W2053806146 · doi:10.2202/1935-1682.2436

Trade Liberalization, Standards and Protection

2010· article· en· W2053806146 on OpenAlexaff
Azim Essaji

Bibliographic record

VenueThe B E Journal of Economic Analysis & Policy · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSubsidyEconomicsTariffExternalityInternational economicsWelfareInternational tradeRevenueIncentiveLiberalizationFree tradeMicroeconomicsMarket economyFinance

Abstract

fetched live from OpenAlex

Abstract As conventional trade barriers fall, nations may increasingly resort to product standards to protect domestic industries. While ostensibly protecting their citizens from the environmental and health side-effects of a particular product, countries could enact standards that are facially-neutral, but impose greater compliance costs on foreign producers. This paper examines the impact of trade liberalization on standard setting by using a two-country Cournot duopoly model in which the Domestic government imposes a standard to mitigate a consumption externality. The standard increases production costs for both Domestic and Foreign firms, especially for the latter. The paper finds that one cannot make an unequivocal connection between falling tariffs and subsidies and rising standards. If the initial tariffs or subsidies are prohibitive, reducing subsidies and tariffs to allow minimal import penetration will generally create incentives for the Domestic government to impose higher standards. If the ex ante tariffs are not prohibitive, however, it is only optimal for the government to raise standards following tariff cuts if (i) tariff revenues are an important component of the welfare calculus and the ex ante tariff rate is high, or (ii) the standard's effect on the per unit externality is large. Likewise, if the initial subsidies are small enough to allow imports the government should only raise standards following subsidy reductions if the per unit externality is substantial, or the standard's impact on the per unit externality is large.

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)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.247
Teacher spread0.217 · 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
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

Citations14
Published2010
Admission routes1
Has abstractyes

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