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Optimal Recovery Mode for New Energy Vehicle Battery Recycling Under Government Policies

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  • Wenqi Wu
  • Ming Li
  • George Q. Huang

Abstract

The choice of spent new energy vehicle (NEV) battery recovery mode is crucial to improve recovery performance. This paper examines the decision‐making rules for the closed‐loop supply chain of NEV batteries under the intervention of government policies. It also compares the performance of the supply chain across various recovery modes and the effects of different policies. Results indicate that (1) in terms of total revenue and recovery rate, the battery producer recovery mode, mixed recovery mode involving automobile manufacturer and professional recycler, is more effective. (2) The optimal solution for the decision variable is influenced by government policies, and this influence remains consistent across different recovery modes. (3) The positive impact of the deposit‐return system is linked to the relationship between the deposit amount and the reward scale. If the refund constitutes too small a proportion of the deposit, both total revenue and recovery rate will decline. Reducing recycling channel costs and enhancing purchasers' environmental awareness can increase the battery recycling ratio and higher total revenue.

Suggested Citation

  • Wenqi Wu & Ming Li & George Q. Huang, 2025. "Optimal Recovery Mode for New Energy Vehicle Battery Recycling Under Government Policies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(4), pages 2629-2642, June.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:4:p:2629-2642
    DOI: 10.1002/mde.4487
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    References listed on IDEAS

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    1. Aditya Vedantam & Ananth Iyer, 2021. "Capacity Investment under Bayesian Information Updates at Reporting Periods: Model and Application," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2707-2725, August.
    2. Shan Liu & Caiquan Duan & Jinyou Qiao & Yan Sun, 2025. "Manufacturer's cooperative recycling strategies considering the negative externality of unrecycled products: Non‐cooperative, fund‐cooperative, or labour‐cooperative," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(1), pages 201-221, January.
    3. S. Saha & S.P. Sarmah & Ilkyeong Moon, 2016. "Dual channel closed-loop supply chain coordination with a reward-driven remanufacturing policy," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1503-1517, March.
    4. Subrata Saha & Zbigniew Banaszak & Grzegorz Bocewicz & Izabela Ewa Nielsen, 2022. "Pricing and quality competition for substitutable green products with a common retailer," Operational Research, Springer, vol. 22(4), pages 3713-3746, September.
    5. Ahmad, Najid & Du, Liangsheng & Lu, Jiye & Wang, Jianlin & Li, Hong-Zhou & Hashmi, Muhammad Zaffar, 2017. "Modelling the CO2 emissions and economic growth in Croatia: Is there any environmental Kuznets curve?," Energy, Elsevier, vol. 123(C), pages 164-172.
    6. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
    7. Bian, Junsong & Zhao, Xuan, 2020. "Tax or subsidy? An analysis of environmental policies in supply chains with retail competition," European Journal of Operational Research, Elsevier, vol. 283(3), pages 901-914.
    8. Buket Avci & Karan Girotra & Serguei Netessine, 2015. "Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact," Management Science, INFORMS, vol. 61(4), pages 772-794, April.
    9. Chao Lu & Jie Tao & Qiuxian An & Xiaodong Lai, 2020. "A second-order cone programming based robust data envelopment analysis model for the new-energy vehicle industry," Annals of Operations Research, Springer, vol. 292(1), pages 321-339, September.
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