From fabrication to consolidation of China's political blue‐sky: How can environmental regulations shape sustainable air pollution governance?
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
Abstract Political blue sky is unsustainable because conflicting interests in China's fragmented authoritarianism (FA) lead to the failure of air pollution regulations. This study explores how to transform China's political blue sky from short‐term fabrication to long‐term consolidation by effective environmental regulations. A two‐pronged mechanism design in the non‐cooperative tripartite evolutionary game is employed to model the dynamic cost–benefit strategy interactions among the central government, local governments, and polluting enterprises for sustainable air pollution control. Policy simulations are conducted to examine the effectiveness of several environmental regulation instruments for leading to the ideal outcome. In baseline scenarios, proper coordination of environmental inspection, vertical and horizontal transfers, and environmental taxation can impel the game to converge to the desired evolutionary equilibrium. In extended scenarios, three long‐term oriented inspirations—double‐dividend effect of environmental tax revenues, public monitoring, and the Porter hypothesis effect of environmental regulations—can improve the efficiency of environmental regulations compared to baseline scenarios. From a methodology perspective, policy simulation in an evolutionary game framework provides a novel addition to the research toolkit for addressing FA.
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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 | 0.000 |
| 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 it