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Record W1560507915

Liberalisation of Agricultural Trade - Global Implications and what it Means for the EU

2003· preprint· en· W1560507915 on OpenAlexaboutno aff
Risto Vaittinen

Bibliographic record

VenueRePEc: Research Papers in Economics · 2003
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsInternational economicsTariffSubsidyLiberalizationAgricultureEconomicsFree tradeInternational tradeCommercial policyTrade barrierComputable general equilibriumGeneral equilibrium theoryAgricultural economicsMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The liberalisation of agricultural trade is expected to become a key element of the agreement resulting from the WTO's Doha Round. The economic impacts of agricultural trade liberalisation are evaluated in this study using a global numerical general equilibrium model. A broad policy package including the elimination of export subsidies, tariff reductions, and cuts in publicly financed domestic support is evaluated. World trade is expected to expand in liberalised commodities by between 10 and 25 per cent. Growth will be most pronounced in beef and sugar trade. Tariff reductions are the most important factor boosting trade. Middle-income countries, the EU, the transition economies of central Europe and other industrial countries, excluding the USA and Canada, are likely to benefit most from the reform. The efficiency gains as measured by fixed-price GDP will be from 0.1 to 0.3 per cent in these countries. Usually, consumption increases more because of declining food prices in food-importing countries or because of improved terms of trade in food-exporting 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 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.358

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 science0.0010.000
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 head0.057
GPT teacher head0.310
Teacher spread0.254 · 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 designOther design
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

Citations15
Published2003
Admission routes1
Has abstractyes

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