The Relationship between Marketization Level and Environmental Quality in China
Bibliographic record
Abstract
Affected by the global financial crisis, China has proposed a 4-trillion-yuan stimulus package. To dispel the impact and balance the economic growth and ecological improvement, marketization may be an effective means. The article tries to explore the relationship between the two sides. By analyzing the impact of the mechanism between marketization and environmental quality, with the help of econometric model, the quantitative analysis has been made on the above basis. The result shows that with the rising level of Chinese national marketization, the pollution loads of Sulphur Dioxide and Chemical Oxygen Demand of gross industrial output value per 10000 yuan are both on the decline. By modeling SO2 and COD of unit (per 10000 yuan) gross industrial output value and marketization level of 31 provinces in China, the results indicate that the higher the marketization level of a province, the lower emissions of either SO2 or COD. Therefore, the marketization level will better the environmental quality. Relevant solutions are also proposed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".