Cooperate or compete? A strategic analysis of formal and informal electric vehicle battery recyclers under government intervention
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
We propose a dual-channel reverse supply chain consisting of a formal and an informal electric vehicle battery recycler under government intervention with a subsidy-and-penalty policy. By comparing and analyzing the equilibrium results, profits, and environmental impacts, we discuss the two members’ competition and cooperation strategies under government intervention. Analytical results show that government subsidy to the formal recycler (penalty to the informal recycler) increases (decreases) the two members’ recycling prices at differed rates. Government intervention increases (reduces) the recycling quantity in the formal (informal) recycling channel. The two members can reach a consensus on cooperation only if the subsidy and penalty are set at sufficiently high levels. In this case, the government should push them up as high as its budget allows for environmental benefit.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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