The Spatial Effect of Building New Housing in Zhengzhou City——Based on the Spatial Econometrics Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article, which is based on micro data of building new housing in Zhengzhou city in nearly years, analyzes the spatial correlation model and spatial clustering and finds that there is a clear spatial dependent in the housing prices and spatial correlation patterns have space heterogeneity; the paper judges that the spatial lagged effect shows more apparent by diagnostics for spatial effect, while judges that the spatial Durbin model is the optimum fitting in the 4 models by goodness of fit and maximum likelihood; at the same time, the research analyses shows that spatial lagged effect is very significant for the housing prices in the spatial dimension and is the most important factor by analyzing all the influencing factors, while the paper concluded that the spatial spillover effect and the transportation accessibility should not be ignored. At last, the study suggests that the government department must make a liberal allowance for spatial interaction mechanism has a spatial heterogeneity effect on new building prices when choosing the real estate policy and making controls on the prices.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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