Research on the decision-making of remanufacturing transformation considering the standardization of recycler under carbon tax policy
Bibliographic record
Abstract
Under the backdrop of “dual carbon” targets, the remanufacturing of waste products has attracted much attention from the government because it contributes to reducing carbon emissions in production and alleviating environmental pollution. This study formulates a four-party evolutionary game model of “government-manufacturer-recycler-consumer” to explore in depth the effects of carbon tax, recycling regulations, and consumer environmental awareness on remanufacturing decisions. The study results show that: The recycling standardization practiced by recyclers positively influences whether manufacturers actively engage in remanufacturing, and manufacturers in different industries have varying sensitivities to recycling standardization; (2) Carbon tax policy is conducive to promoting manufacturers’ active remanufacturing, but manufacturers in different industries have varying sensitivities to carbon taxes; (3) Consumer environmental awareness significantly influences recycling standardization, and the extent of this influence is consistent across different industries; (4) Strict government regulation of recyclers and consumers can incentivize manufacturers, especially those in industries lacking carbon emission advantages, to actively remanufacture under conditions of low-carbon taxation. Based on the above conclusions, this study proposes targeted strategies to offer reference for promoting the low-carbon development of the manufacturing industry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".