Contract selection for collaborative innovation in the new energy vehicle supply chain under the dual credit policy: Cost sharing and benefit sharing
Bibliographic record
Abstract
The dual point policy is an important policy in the field of China's new energy vehicle industry, various factors such as point trading prices and technological innovation costs were included in the profit game model to explore the effects of cost contract model and revenue contract model on the optimal profit of new energy vehicle supply entities after collaborative decision-making. Research has found that the dual credit policy for China's new energy industry has a promoting effect on collaborative innovation among entities in the new energy vehicle supply chain; Compared with decentralized decision-making situations, the integration of cost sharing contracts or revenue sharing contracts can more effectively stimulate the innovation vitality of new energy battery suppliers and enhance their technological innovation level; Under the cost sharing contract and the benefit sharing contract, the optimal profit after collaborative decision-making between new energy vehicle manufacturers and new energy battery suppliers is greater than the optimal profit during decentralized decision-making, while the optimal profit of new energy vehicle supply chain entities under the benefit sharing contract is slightly higher than the optimal profit of new energy vehicle supply chain entities under the cost sharing contract.
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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 | 0.001 | 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 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".