An Empirical Analysis of the Relationship Between Urbanization and Fiscal Policy --- Taking Jiangxi Province of China As an Example
Why this work is in the frame
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Bibliographic record
Abstract
Urbanization is still the direction of China's development in the next twenty years. The study of the relationship between fiscal policy and urbanization is of great value to the healthy promotion of urbanization. In this paper, through the establishment of vector autoregressive model, and analysis using the impulse response function and variance decomposition empirical dynamic correlation between the development of urbanization in Jiangxi province and that of fiscal policy, fiscal policy focus; at the same time, this thesis employs qualitative analysis and quantitative analysis, normative analysis and empirical analysis, combined with the reality of the development of urbanization in Jiangxi Province in order to analyze of the relationship between the development of urbanization in Jiangxi province and fiscal policy and the existing problems. The study found that there is a cointegration relationship between fiscal policy and urbanization. The impact of fiscal expenditure on Urbanization in Jiangxi is better than that in fiscal revenue. Finally, this paper also puts forward relevant policy.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it