Functionary Mechanism between Demographic Structure and Economic Growth in China Based on Cointegrating Methods
Bibliographic record
Abstract
This study’s objective was to solve the problem of functionary mechanism between demographic structure transition and economic growth in China using cointegration and vector error correction model. The results are: (1) A long-term co-integration relationship exists among birth rate, infant mortality, real GDP per capita and average wage of workers; (2) According to VECM, the adjustment of the economic system is 0.024 when the fluctuation of birth rate deviates from the equilibrium state; (3) Demographic variables are endogenous in the economic system. The conclusions are: (1) In China high-speed economic growth as well as low stable birth rate should be kept and domestic wealth should be accumulated via escalating the average wage; (2) To reduce the impact of the aging population on economic growth in China, high-qualified people’s demand for birth should be stimulated to accelerate the transition of industrial structure from labor-intensive to knowledge-intensive.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 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 | 0.002 |
| 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".