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Record W7008745476

Competitividad comercial de la carne de ganado bovino entre los países miembros del TLCAN 1997-2008.

2011· dissertation· es· W7008745476 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2011
Typedissertation
Languagees
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Market competitionWorld marketInternational marketWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

El presente trabajo analiza la competitividad comercial de carne de ganado bovino entre los países miembros del Tratado de Libre comercio de América del Norte (TLCAN): México, Canadá y Estados Unidos. La metodología utilizada es mediante indicadores de mercado: participación de mercado, coeficiente de ventaja comparativa revelada (CVCR), tasa de penetración de las importaciones (TPI) y producción expuesta a la competencia (PEC), para ello se utilizan datos del periodo 1997-2008, comparando los valores promedio de 1997 a 1999 contra los valores promedio de 2006 a 2008. Esto permite observar el desarrollo de la competitividad de los 3 socios comerciales a nivel mundial y permite evaluar la competitividad de Canadá y México como principales proveedores de carne de ganado vacuno del mercado estadounidense. Los resultados de competitividad para Canadá en el mercado de importaciones estadounidenses de carne de ganado bovino se ha visto mermada; mientras que la competitividad de México en este sector se ha incrementado como resultado de la apertura comercial. _______________ TRADE COMPETITIVENESS OF THE MEAT OF CATTLE BETWEEN THE COUNTRIES MEMBERS OF NAFTA 1997-2008. ABSTRACT: The present work analyzes the trade competitiveness of beef cattle among the member countries of the North American Trade Agreement (NAFTA), Mexico, Canada and the United States. The methodology used by market indicators, market share, revealed comparative advantage coefficient (CVCR), rate of import penetration (TPI) and production exposed to competition (PEC); in the study, data from the period 1997 - 2008, comparing the average values from 1997 to 1999 against the average values from 2006 to 2008. This allows us to observe the development of the competitiveness of the 3 partners worldwide and evaluates the competitiveness of Canada and Mexico as major suppliers of beef cattle in the U.S. market. The results for Canada competitive in the market for U.S. imports of beef cattle have been weakened, while Mexico's competitiveness in this sector has increased as a result of trade liberalization.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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