Research on the Process of RMB Internationalization in the New Development Stage
Bibliographic record
Abstract
Since entering the new development stage, China’s economy has comprehensively stepped into a phase of high-quality development, and the process of RMB internationalization has accelerated, playing an important role in boosting foreign trade, cross-border settlements, international balance of payments adjustment, and reducing exchange rate risks. The international influence of the RMB, especially its regional economic influence, has been continuously enhanced. However, it should also be noted that in the latest global currency payment rankings (June 2025), the RMB accounts for 2.12%, ranking sixth globally after the US dollar, euro, pound sterling, yen, and Canadian dollar, which is inconsistent with China’s status as the world’s largest goods trader and largest manufacturing power. The process of RMB internationalization still faces a long way to go. Currently, the world is undergoing unprecedented major changes in a century, with opportunities and challenges coexisting, difficulties and hopes present simultaneously. This paper systematically reviews the current status of RMB internationalization, analyzes the opportunities and challenges faced in the process, and attempts to propose rational suggestions from economic, financial, and policy perspectives.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".