An Empirical Study on the Situation and Determinants of Intra-industry Trade in China's Textile and Apparel Industry
Bibliographic record
Abstract
This paper examines the presents situation and determinants of intra-industry textile and clothing trade from 2002 to 2010 in China.The results show that the common level of intra-industry trade on China's TA industries is very low,the development of which is very slow,and the style of trade on China's TA industries is mainly inter-industry trade.Also,on the product level,the level of intra-industry trade is different,and it shows that IIT is the main type,which needs improvement.IIT is found to be positively related to the country-specific variables,such as the market size,per capita income level,exchange rate,and negatively to the geographic proximity of the partners.Economies of scale are seen to have a positive influence on IIT and HIIT,but a negative relationship with VIIT.Although the relative openness of a country's trade regime shows no significant relationship with any form of IIT,a trade imbalance does affect TIIT,HIIT and VIIT flows.Finally it gives some competitiveness-fostering suggestions for the development of China's TA intra-industry trade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".