ArticleScientific reports2024
New energy vehicle battery recycling strategy considering carbon emotion from a closed-loop supply chain perspective.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- A game study on the evolution of carbon emission reduction behavior of Chinese power enterprises.Scientific reports · 2025Article
- NEV battery recycling innovation strategy considering pro-social behavior from the game theory perspective.Scientific reports · 2025Article
- Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model.Scientific reports · 2025Article
- Complexity analysis of a closed-loop supply chain for power battery recycling under government subsidies.PloS one · 2025Article
- Evaluation and impact factors of international competitiveness of China's cobalt industry from the perspective of trade networks.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The negative impact of used batteries of new energy vehicles on the environment has attracted global attention, and how to effectively deal with used batteries of new energy vehicles has become a hot issue. This paper combines the rank-dependent expected utility with the evolutionary game theory, constructs an evolutionary game model based on the interaction mechanism between decision makers' emotions and decision making, and studies the recycling strategy of new energy automobile trams under the heterogeneous combination of emotions. The study shows that: (1) In addition to the establishment of effective external norms, the subjective preference of decision makers can also positively affect the recycling strategy of new energy vehicle batteries. (2) Fairness preferences can have a significant nonlinear effect on new energy vehicle battery recycling strategies by changing the utility function of decision makers. (3) When new energy vehicle manufacturers remain optimistic and new energy vehicle demanders remain rational or pessimistic, the new energy vehicle battery recycling strategy can reach the optimal steady state.
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Registered trials
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