IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3720373.html
   My bibliography  Save this article

Carbon Emission Reduction and Coordination Strategies for New Energy Vehicle Closed-Loop Supply Chain under the Carbon Trading Policy

Author

Listed:
  • Yan Yin
  • Fengcai Liu
  • Zhen Zhang

Abstract

Due to the increasingly serious energy crisis and environmental pollution, new energy vehicle (NEV) as a environmentally-friendly travel tool has been vigorously developed by various countries. However, in 2020, China officially enters the “postsubsidy era†in which the carbon trading scheme will replace the current fiscal and taxation system, affecting the implementation of NEV. Under the carbon trading policy, it has gradually become a major issue how NEV companies achieve production revenue coordination and carbon emission optimization decisions. This study focuses on building a multilevel supply chain for NEV production, sales, and component recycling. In addition, this study establishes a Stackelberg game model dominated by NEV manufacturers and uses contracts to coordinate the model. Results are as follows: (1) With the increasing maturity and perfection of enterprises’ carbon emission reduction technology, consumers’ demand for new energy vehicles will increase, and the effect will be more obvious when the system centralized decision-making. (2) Since the centralized decision is aimed at the total profit of the system and has the advantage of optimal order quantity, the total benefit of the supply chain is higher than that of the decentralized decision. Moreover, if the cost coefficient of carbon emission reduction is small, the total benefit of the supply chain under the centralized decision will be more obvious. (3) From the perspective of each member of the supply chain, the profit change of the manufacturer is more sensitive to the change of order quantity compared with the cost coefficient of carbon emission reduction. When the cost of carbon emission reduction technology is too high, manufacturers may not have much incentive to carry out technological research and development and innovation, resulting in failure to achieve system optimization. (4) This study designed a revenue-cost-sharing contract coordination mechanism; that is, the retailer will provide part of the revenue to the manufacturer, and the manufacturer will provide recovery compensation to the recycler.

Suggested Citation

  • Yan Yin & Fengcai Liu & Zhen Zhang, 2021. "Carbon Emission Reduction and Coordination Strategies for New Energy Vehicle Closed-Loop Supply Chain under the Carbon Trading Policy," Complexity, Hindawi, vol. 2021, pages 1-17, July.
  • Handle: RePEc:hin:complx:3720373
    DOI: 10.1155/2021/3720373
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/3720373.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/3720373.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/3720373?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Han, Jie & Jiang, Cailou & Liu, Rong, 2023. "Does intelligent transformation trigger technology innovation in China's NEV enterprises?," Energy, Elsevier, vol. 270(C).
    2. Yan Shen & Tian Gao & Zizhao Song & Ji Ma, 2023. "Closed-Loop Supply Chain Decision-Making and Coordination Considering Fairness Concerns under Carbon Neutral Rewards and Punishments," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    3. Dai, Zhifeng & Luo, Zhuang & Liu, Chang, 2023. "Dynamic volatility spillovers and investment strategies between crude oil, new energy, and resource related sectors," Resources Policy, Elsevier, vol. 83(C).
    4. Danlei Feng & Mingzhao Hu & Lingdi Zhao & Sha Liu, 2022. "The Impact of Firm Heterogeneity and External Factor Change on Innovation: Evidence from the Vehicle Industry Sector," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    5. Zheng Liu & Wenzhuo Sun & Bin Hu & Chunjia Han & Petros Ieromonachou & Yuanjun Zhao & Jiazhuo Zheng, 2023. "Research on Supply Chain Optimization Considering Consumer Subsidy Mechanism in the Context of Carbon Neutrality," Energies, MDPI, vol. 16(7), pages 1-14, March.
    6. Xiangyang Yu & Xiaojing Wang, 2023. "Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology," Energies, MDPI, vol. 16(6), pages 1-21, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:3720373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.