Bibliographic record
Abstract
Facing to the increasingly complex international environment and the new normal of China's economic growth, the pilot of free trade zone is an important measure for China to further deepen reform and opening up. Promoting trade liberalization is an important part of the construction of the free trade zone. Based on the city panel data from 2004 to 2018, this paper analyzes the trade effects of 11 free trade zones established in 2017 and before by using the method of period by period did. Also the trade effect of each free trade zone is analyzed separately by the method of synthetic control.The results show that, firstly, the free trade zone has obvious trade promotion effect on total trade and export trade, but not on import trade. Second, the trade promotion effect of the pilot free trade zone is not significant in the eastern region, but there is an obvious trade promotion effect in the central and western regions. Thirdly, the analysis of each pilot free trade zone also shows some heterogeneity. Generally speaking, the trade effect of export is greater than that of import.Specifically speaking, the pilot free trade zone shows certain heterogeneity, which may be related to the local economic development level and econnmic scale.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".