Trade configurations in Asia: Assessing de facto and de jure regionalism
Bibliographic record
Abstract
Abstract Given the backdrop of significant uncertainties largely propelled by the ongoing trade spat between the United States and China, to what degree can the Asian region move forward in terms of de facto trade integration? Drawing on the new economic geography literature, this paper offers new insights into the literature on trade regionalism in Asia by empirically illustrating how Asian economies can tap into the regional market potential. Specifically, the paper examines the scope for further de facto integration among the Asian countries engaged in the negotiation for the Regional Comprehensive Economic Partnership (RCEP) Agreement by estimating foreign market potential (FMP) indices. To preview the main findings, the empirical analysis demonstrates that the share of intra‐regional trade in total RCEP trade flows and, consequently, the ratio between within‐ and outside‐RCEP trades are significantly lower than what they could potentially be. The paper makes a case that the enhancement of de jure integration among these economies through the RCEP must be accompanied by efforts to improve de facto integration.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".