Export Competitiveness of Agri-Products Between China and Central Asian Countries: A Comparative Analysis
Bibliographic record
Abstract
This paper analyzes export competitiveness of agri-products between China and Central Asian Countries by revealed comparable advantage index and trade competitiveness index, and then comes to the following conclusions: (1) China’s total agri-products do not have comparable advantage, while Central Asian Countries have changed from comparable advantage into comparable disadvantage; (2)The total agri-products of both China and Central Asian Countries have changed from trade competitive advantage into trade competitive disadvantage; (3)China and Central Asain Countries, on specific categories of agri-products,have different advantage structures, which presents vast bilateral trade potential on the basis of comparable advantage. Key words: China; Central Asian Countries; Agri-products; Competitive advantage Resume Cet article analyse la competitivite des exportations des produits d’agro-alimentaires entre la Chine et l'Asie centrale par l'indice de l'avantage revele comparables et l'indice de competitivite commerciale, puis arrive aux conclusions suivantes: (1) Chine totale agro-produits n'ont pas d'avantages comparables, tandis que pays d'Asie centrale ont change depuis avantage comparable en desavantage comparables, (2) Le total des produits agro-alimentaires de la Chine et d'Asie centrale ont change depuis avantage commercial concurrentiel dans le commerce desavantage concurrentiel; (3) Chine centrale et les pays Asain, sur des categories specifiques des produits agroalimentaires, ont des structures differentes parti, qui presente un vaste potentiel commercial bilateral sur la base d'avantages comparables. Mots cles : Chine; Pays d'Asie centrale; Produits d’Agro-alimentaire; Avantage concurrentiel
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".