A Study on the Issues of Taiwan Securities Market for China Mainland Enterprises on the Background of ECFA: Experiences from Hong Kong Securities Market
Bibliographic record
Abstract
In the background of ECFA,the economic and trade cooperation will be further deepened between China mainland and Taiwan region,and it is significantly important to analyse the stock issue institutions for enterprises China mainland in which the Taiwan Stock Exchange implements at the moment.This paper argues that Hong Kong's economic development process and economic development strategy are very similar with those Taiwan's of both belong to the Asian Tigers,The capital market is always attached to the real economy to meet the need of financial intermediation for the enterprises.The success of Hong Kong securities market development is a good reference for Taiwan's securities market.This paper studies CEPA and its additional protocols that are related to the regulations of corporate finance for chinese enterprises.China mainland and Taiwan Region may reach an agreement for opening Taiwan stock market to Chinese enterprises within the framework of the ECFA agreement.It makes further research on the coordination of funding laws and regulations of the two regions,building an effective monitoring system and some other institution problems.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".