Chinese Regional Capital Mobility:Dynamics and Regional Differences—Based on 1978～2009 Data
Bibliographic record
Abstract
The constraint on Chinese domestic capital mobility had badly hindered the cultivation of domestic demand,which in turn exacerbated the external imbalances problem.This paper employs Campbell -Mankiw' s permanent income model to derive capital mobility estimation function based on private consumption-net output correlation.And applies pooled OLS,GMM and Swamy' s random-coefficients model to estimate the timing and regional difference in capital mobility within China.The result shows that China' s general capital mobility level is lower than the average level of main OECD countries,actually most of Chinese provinces' capital mobility level is low and the regional gap is huge,among them the Yangtze River Delta' s capital outflow level is the lowest.Meanwhile,China' s accession to the WTO has limited impact on domestic capital market,but it is uneven.After the accession to the WTO,the constraint on capital mobility is much severer in the regions where the correlation between private consumption and net output is higher,however,the freedom of capital mobility is just slightly improved in the regions where the correlation of private consumption and net output is lower.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".