Comparative Advantage and Competitiveness of World Soy Exporter in Response to Us-China Trade Dispute
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aim/Purpose: This research identifies China’s agricultural commodities demand on soy and compares the comparative advantage, competitiveness of world soy exporters. Background: The world’s largest agricultural commodities importer-China had bought 10.7 % of world agricultural commodities (US$1,167.2 billion) during year 2017. Studying China’s demand in order to formulate export strategies is crucial especially for BRIC countries. Methodology: Reveal Comparative advantage (RCA), Comparative Advantage above Average (CAaA) and Export Competitive Advantage (XCA) were used in this study. Findings: Analysis shows that Brazil, USA, Argentina, Canada, Paraguay, Uruguay and Ukraine who supply more than 97% of world soy export have better comparative advantage and competitiveness over other soy exporters in the world. Russia and Netherlands are picking up with offering lower export price. Impact on Society: Due to US-China Trade dispute, China has switched soy import and purchase from the US to Brazil. That has caused US$3 billion wealth loss for both countries.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it