Analysis of International Pressure on RMB Exchange Rate Policy——From the Perspective of Japanese Yen Appreciation Lesson
Bibliographic record
Abstract
Superficially, Sino-U.S. dispute on RMB exchange rate and Japan-U.S. dispute on Yen exchange rate, both due to the long-term trade surplus, run in the same groove. However, deep analysis shows the U.S. pressure on Chinese RMB exchange rate is much smaller than that on Japanese Yen. This is mainly because (i) Sino-U.S. trade is highly complementary; (ii) China's WTO entry commitments has provided appropriate legal safeguards to alleviate the imbalance in Sino-U.S. trade; and (iii) China possesses greater autonomy on exchange rate policy. After Japanese Yen appreciation, Japan's improper disposal of domestic and foreign economic policies induced its long-term economic recession. Facing U.S. pressure on RMB exchange rate appreciation, China should draw a lesson from Japanese, to defend from international law level and make appropriate adjustment on the economic structure and the development models, so as to ease the pressure on RMB exchange rate appreciation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".