The Model to Analyze a Raising up Tariff by Taiwan to Products from Mainland of China——A Study from the Effect of Factor Income Distortion
Bibliographic record
Abstract
The raising up tariff by Taiwan to the products from Mainland of China will distort the factor income distribution pattern in that island.We use a general equilibrium model were an economy inputs two factors,i.e.capital and labor and produces two products,i.e.manufactures and high-technologies,to discuss the short run and long run effects on factor's income by the raising up tariff.We discover,the wage as the labor income in two production sectors is both rising up within the short run,but it is going down for an unprotected sector in a long run;the reward as the capital income in that protected sector is rising,but it is going down for another unprotected sector within a short run.So,the effects of factor income distribution comes from the imports tariff if adopted by Taiwan,will hurt the development of its advantaged industry.This is the theoretical foundation to promote FCFA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".