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Dairy Trade Liberalization Impacts in Canada

2008· article· en· W1999601437 on OpenAlexaffvenueabout
Abdessalem Abbassi, Olivier Bonroy, Jean‐Philippe Gervais

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsAgriculture and Agri-Food CanadaUniversité Laval
Fundersnot available
KeywordsLiberalizationEconomicsFree tradeEconomic rentWelfare economicsInternational economicsMicroeconomicsMarket economy

Abstract

fetched live from OpenAlex

Supply management in Canada is facing broad trade liberalization pressures. This paper uses a spatial equilibrium trade model to simulate the impacts of various trade liberalization scenarios in the Canadian dairy industry. The results critically hinge on the relationship between increased market access and the market sharing quota (MSQ) at the farm level. Two different MSQ decision rules are simulated: (i) global output at the farm level remains unchanged following liberalization; and (ii) the MSQ is reduced to support the unit production quota rent at its preliberalization level. The results show that if the MSQ is held constant following a potential compromise in the Doha Round, retail prices of fluid milk and cheese would decrease by about 5%. These price movements can be negated by a 1.4% cut in the global MSQ at the farm level. Net welfare gains in the Canadian dairy sector following market access reforms range between $48.2 and $64.2 million when evaluated at the 2003–04 world prices. Le courant de libéralisation des échanges crée une certaine pression sur les programmes de gestion de l'offre au Canada. Ce papier présente un modèle de commerce en équilibre spatial afin de simuler les effets de différents scénarios de libéralisation des échanges sur l'industrie laitière canadienne. Les résultats dépendent fortement de la relation entre amélioration de l'accès au marché et quota de mise en marché (QMM). Deux différentes règles de décision du QMM sont simulées : i) la production globale est inchangée après la libéralisation ; et ii) le QMM est réduit afin d'assurer une rente de quota par unité de production identique à son niveau de pré‐libéralisation. Les résultats associés à un compromis potentiel dans le cadre du Cycle de Doha indiquent que les prix au détail du lait de consommation et du fromage diminueraient d'environ 5% si le QMM demeure constant. En revanche, les variations de prix seraient nulles si le QMM est réduit de 1.4%. Suivant les scénarios de libéralisation des échanges considérés, le gain net pour l'industrie laitière canadienne serait compris entre 48.2 et 64.2 millions de dollars, lorsqu'évalué aux prix mondiaux de 2003/2004.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.146
Teacher spread0.123 · 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 designObservational
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

Citations20
Published2008
Admission routes3
Has abstractyes

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