Estimación de la competitividad en el comercio internacional de la cereza
Bibliographic record
Abstract
[SPA] La superficie cultivada con cerezos a nivel mundial aumentó en un 10%, en el periodo 2001-2005, alcanzando en este último año 400.000 ha, con una producción del orden de 1,9 mill ton. El comercio mundial es del orden de USD 600 mill, transándose sólo el 10% de la producción. En el H.N., EE.UU. y Turquía concentran el 43% de las de las exportaciones. España es responsable del 6%. En el H.S. , el líder es Chile con el 7%. Con el objeto determinar la competitividad de los principales países exportadores se utilizaron indicadores cuantitativos: la Balanza comercial relativa indica que en el HS los más competitivos son Chile (1) y Argentina (0,94) ; en el H.N., Irán (1), Turquía (0,35), Polonia (0,98) y España (0,88). En Transabilidad, Turquía (0,35) y Polonia (0,21); en el HS, N. Zelanda (4,67) y Chile (0,55). Apertura exportadora N. Zelanda (4,9) y Chile (0,55); Austria (0,4) y Polonia (0,2). Modo de inserción en el mercado, con sus componentes Posicionamiento, España, Polonia, Alemania y Turquía, se califican en “retirada”, en tanto, EE.UU.”perdiendo oportunidades”. Chile y N. Zelanda “positivos”. En cuanto a Especialización se califica como ”alta “ a España (0,94), Turquía (0,99), EE.UU. (0,86), Irán (1) y Polonia (1). En el HS, es “alta” para Chile (1), Argentina (0,97) y N. Zelanda (0,96). Se estima que el comercio internacional seguirá la tendencia creciente experimentada en el periodo 2000-2005. Así, para 2007, se estima que en la Unión Europea el mercado será del orden de unas 100.000 ton, en tanto en Japón sobre 15.000 ton. Otros mercados interesantes son EE.UU. Canadá, Alemania, Francia y Reino Unido. [ENG] The surface cultivated with cherry-trees worldwide increased in 10 %, in the period 2001-2005, reaching in the latter year 400.000 has, with a production of the order of 1,9 mill ton. The world trade is around US$ 600 mill, 10 % of the production being traded only. In the. N.H, USA and Turkey concentrate 43 % of exportations. Spain is responsible for 6 %. In the S. H., the leader is Chile with 7 %. With the object to determine the competitiveness of the principal exporting countries were used quantitative indicators: the Commercial relative Scale, indicates that in the S.H., the most competitive it is Chile (1) and Argentina (0,94); in the.N. H, Iran (1), Turkey (0,35), Poland (0,98) and Spain (0,88). In Transabilidad, Turkey (0,35) and Poland (0,21); in the S.H., N. Zealand (4,67) and Chile (0,55). Exporting opening N. Zealand (4,9) and Chile (0,55); Austria (0,4) and Poland (0,2). Way of insertion on the market, with his components Positioning, Spain, Poland, Germany and Turkey, they are qualified in "retreat", while, USA " losing opportunities ". Chile and N. Zealand "positives". As for Specialization there is qualified as "discharge" Spain (0,94), Turkey (0,99), USA (0,86), Iran (1) and Poland (1). In the HS, it(she) is "high" for Chile (1), Argentina (0,97) and N. Zealand (0,96). It thinks that the international trade will continue the increasing trend experienced on the period 2000-2005. By the way, for 2007, it thinks that in the European Union the market will be approximately 100.000 ton, while in Japan on 15.000 ton. Other interesting markets are USA., Canada, Germany, France and United Kingdom
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".