Housing affordability, subsidized lending and cross-city variation in the performance of China’s housing provident fund program
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 study examines the cross-city variation in the performance of China’s Housing Provident Fund (HPF) program, a collective saving scheme that provides subsidized lending to support participants’ home purchases. It finds that while the program as a whole is limited in both participation and benefit provision, the level of HPF activities has differed across localities. Panel-data analysis of HPF lending in seven cities reveals that local housing affordability was an important determinant of who benefited from the program. Rising housing price increased the demand for HPF loans. But if price rose too high relative to household income, the share of participants who used HPF loans declined. This shows that as the program currently operates, expanding HPF participation would only increase the inequality in the distribution of program benefits. Finally, we did not find evidence for the counter-cyclic effects that HPF lending was expected to have in relation to bank lending. These findings have important implications for the program’s future reform.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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