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Closed-loop supply chain pricing strategy for electric vehicle batteries recycling in China

Author

Listed:
  • Xuan Zhao

    (Nanjing University of Information Science and Technology)

  • Benhong Peng

    (Nanjing University of Information Science and Technology
    Binjiang College, Nanjing University of Information Science & Technology)

  • Chaoyu Zheng

    (Nanjing University of Information Science and Technology)

  • Anxia Wan

    (Nanjing University of Information Science and Technology)

Abstract

The importance of reasonable pricing strategy for electric vehicle batteries under the background of government subsidies has been recognized. However, variable government subsidy policy may highly impact the pricing strategy of electric vehicle batteries recycling market in its infancy. There is an urgent need to discover the hidden electric vehicle batteries relation, give the pricing strategy, and suggest the effective policy design. The paper studies the optimal pricing strategies for electric vehicle batteries in three different Chinese recycling channels in the government subsidies situation by using Stackelberg game. And then, the model is simulated in decentralized decision-making and centralized decision-making, respectively, to explain the relationship among parameters using MATLAB. Finally, a numerical experiment derived from the market data of electric vehicles in China and existing literature is used to show the effectiveness of Stackelberg model, proving that our approach can contribute to closed-loop supply chain pricing strategy for electric vehicle batteries recycling under government subsidies. Results show that the government should increase the subsidy of electric vehicle batteries recycling and urge the electric vehicle enterprises to take responsibility of batteries recycling. The total profit of the closed-loop supply chain with centralized decision-making is higher than the decentralized decision-making, so the upstream and downstream of the supply chain should strengthen communication to achieve profit growth. It significantly provides a theoretical basis for the enterprises in the electric vehicle batteries recycling closed-loop supply chain to formulate pricing strategies under three recycling models and provides suggestion for the government in the designing power battery recycling subsidy policy.

Suggested Citation

  • Xuan Zhao & Benhong Peng & Chaoyu Zheng & Anxia Wan, 2022. "Closed-loop supply chain pricing strategy for electric vehicle batteries recycling in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7725-7752, June.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:6:d:10.1007_s10668-021-01755-9
    DOI: 10.1007/s10668-021-01755-9
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    References listed on IDEAS

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    Cited by:

    1. Jianhua Wang & Xinyan Cai, 2024. "Research on Decision-Making and Coordination of Closed-Loop Supply Chain Under Green and Low-Carbon Perspective," Sustainability, MDPI, vol. 16(23), pages 1-22, December.
    2. Fei Zeng & Zhiping Lu & Chengyu Lu, 2024. "Power Battery Recycling Model of Closed-Loop Supply Chains Considering Different Power Structures Under Government Subsidies," Sustainability, MDPI, vol. 16(21), pages 1-26, November.
    3. Menglin Zhan & Yan Chen, 2022. "Vehicle Company’s Decision-Making to Process Waste Batteries: A Game Research under the Influence of Different Government Subsidy Strategies," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    4. Feng, Jianghong & Ning, Yu & Wang, Zhaohua & Li, Guo & Xiu Xu, Su, 2024. "ChatGPT-enabled two-stage auctions for electric vehicle battery recycling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    5. Zhiqiang Fan & Yifan Luo & Ningning Liang & Shanshan Li, 2023. "A Novel Sustainable Reverse Logistics Network Design for Electric Vehicle Batteries Considering Multi-Kind and Multi-Technology," Sustainability, MDPI, vol. 15(13), pages 1-28, June.
    6. Zhan, Weipeng & Wang, Zhenpo & Deng, Junjun & Liu, Peng & Cui, Dingsong, 2024. "Integrating system dynamics and agent-based modeling: A data-driven framework for predicting electric vehicle market penetration and GHG emissions reduction under various incentives scenarios," Applied Energy, Elsevier, vol. 372(C).
    7. Huixin Liu & Xiang Hao, 2024. "Electric Vehicle Supply Chain Risk Assessment Based on Combined Weights and an Improved Matter-Element Extension Model: The Chinese Case," Sustainability, MDPI, vol. 16(10), pages 1-18, May.
    8. Xia, Xiaoning & Li, Pengwei & Cheng, Yang, 2024. "Economic and environmental evaluation of different collection models for spent power batteries," Energy, Elsevier, vol. 299(C).
    9. Nan Xu & Yaoqun Xu & Haiyan Zhong, 2023. "Pricing Decisions for Power Battery Closed-Loop Supply Chains with Low-Carbon Input by Echelon Utilization Enterprises," Sustainability, MDPI, vol. 15(23), pages 1-30, December.

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