What ails China?: A long-run perspective on growth and inflation (or deflation) in China
Bibliographic record
Abstract
Since 1994, China has experienced a prolonged period of sluggish growth and declining inflation. Prices have actually declined over much of the last three and a half years. These problems are often attributed to conditions of weak aggregate demand. Not unexpectedly, the Chinese government has cut interest rates and pursued expansionary Keynesian policies, but these measures have largely failed. We argue that the key to the sluggish growth resides in the financial sector, specifically, its inability to efficiently intermediate funds to China’s non-state sector. This has adversely affected investment in the non-state sector, which has been the source of much of the dynamism in the Chinese economy since reform. Our analysis suggests that the current reform strategy for China’s financial sector, while important, will not solve this fundamental problem. Rather, the solution lies in the introduction of new, privately owned, locally based financial intermediaries that can provide efficient financial intermediation for the small and medium sized enterprises in the non-state sector.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".