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Research on the Selection of Power Battery Closed-loop Supply Chain Recycling Models Considering Information Bias Behavior under Carbon Trading Mechanisms
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Xiangdong LI1, 2, Junli WANG1, Xinkun WU1, Lixiao GENG1
Science Technology and Industry | 2025, 25(4) : 93 - 101
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Science Technology and Industry | 2025, 25(4): 93-101
Industrial Development
Research on the Selection of Power Battery Closed-loop Supply Chain Recycling Models Considering Information Bias Behavior under Carbon Trading Mechanisms
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Xiangdong LI1, 2, Junli WANG1, Xinkun WU1, Lixiao GENG1
Affiliations
  • 1 School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
  • 2 National Engineering Research Center for Technological Innovation Method and Tool, Tianjin 300401, China
Published: 2025-02-25
Outline
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From the perspective of a closed-loop supply chain, the information bias related to carbon emissions from lithium-ion battery manufacturers and operational cost discrepancies among new energy vehicle manufacturers and third-party recyclers was examined by constructing a Stackelberg game model encompassing three distinct recycling modes. Through numerical examples, the behavior of information biases, individual profits and total profits across these recycling modes was analyzed. The findings indicate that both carbon emission biases and operational cost discrepancies are directly correlated with the individual profits and overall profitability of all stakeholders within the supply chain. Notably, the R/T-M mode yields the highest total profit and should be prioritized in practical applications. Furthermore, as carbon trading prices increase, there is an observable trend where profits for all parties initially decline before subsequently rising.

closed-loop supply chains  /  carbon trading mechanisms  /  asymmetric information  /  recycling model
Xiangdong LI, Junli WANG, Xinkun WU, Lixiao GENG. Research on the Selection of Power Battery Closed-loop Supply Chain Recycling Models Considering Information Bias Behavior under Carbon Trading Mechanisms[J]. Science Technology and Industry, 2025 , 25 (4) : 93 -101 .
Year 2025 volume 25 Issue 4
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Article Info
  • Receive Date:2024-08-20
  • Online Date:2025-07-21
  • Published:2025-02-25
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  • Received:2024-08-20
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Affiliations
    1 School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
    2 National Engineering Research Center for Technological Innovation Method and Tool, Tianjin 300401, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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