A Comparative Analysis on Subsidy Policies of China’s Public Housing Programmes: Evidence Based on Micro Surveys in Baoji
Bibliographic record
Abstract
To understand the effects of the public housing programme and measure the feasibility of subsidy policies, this study conducts a comparative analysis on the wealth effects of two of the main subsidy policies which are the selloriented policy 1 (SOP) and rent-oriented policy 2 (ROP), implemented in the city of Baoji, China.The data in this study come from a survey conducted in 2010 in Baoji.We apply a Cobb-Douglas utility function to measure the extra benefits for households that fall under the SOP and households that fall under the ROP.Our results indicate that the low-income SOP households have a stronger taste in terms of housing consumption, and although both policies offer benefits to households, ROP households benefit more than SOP households do.The main policy conclusions drawn from our findings are that the ROP should be adopted first, and restricting resale by the purchasers is the key to achieve policy efficiency.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".