Revealed comparative advantages and the role of price in soybean trade relation with China
Bibliographic record
Abstract
This article aims to identify the relationship between the price of soybeans exported to China and the competitive advantage of the main suppliers of this commodity to the Chinese market. To this end, data on soybean exports from Argentina, Brazil, Canada, the United States, Uruguay, and Russia were analyzed between 2011 and 2021. In addition to obtaining the RCA Index, a panel data model was estimated. The results show that Brazil and the USA are the world's largest soybean exporters, and that Argentina, Russia, and Brazil are China's largest trading partners in soybean transactions, directing more than 70% of their exports, on average in the period, to the Asian country. Concerning the RCA, the South American countries stand out with the highest values for the historical series, and among the analyzed countries, only Russia presented a Revealed Comparative disadvantage. The estimated econometric model showed that the prices of soybeans exported to China are relevant to the behavior of the RCA Index of China’s trading partners, positively impacting the competitiveness of their trade relations.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".