Macroeconomic Control in the Transforming Chinese Economy: An Analysis of the Long‐Run Effect
Bibliographic record
Abstract
This paper analyzes the issue of macroeconomic control in the Chinese economy where there is a dual structure (consisting of a state sector and a non‐state sector) and the financial sector is still under tight control by the government. Given the dual structure and financial repression, when inflation is a severe problem, the authors investigate whether it is possible for the government to bring inflation under control without hampering long‐term economic growth performance. The investigation is conducted within the context of an endogenous growth model that incorporates the two major institutional features of the transforming Chinese economy. The paper evaluates the long‐run effects of changes in government monetary and fiscal policies on the major macroeconomic aggregates. The analysis suggests that increasing in the interest rate on government bonds will reduce inflation without affecting the growth rate of output; while increasing the nominal interest rate on bank deposits will exert a stagflationary effect on the economy: raising the inflation rate but reducing the growth rate of output.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".