IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p4249-d1396993.html
   My bibliography  Save this article

Electric Vehicle Supply Chain Risk Assessment Based on Combined Weights and an Improved Matter-Element Extension Model: The Chinese Case

Author

Listed:
  • Huixin Liu

    (School of Marxism, Qingdao University of Technology, Qingdao 266520, China)

  • Xiang Hao

    (School of Marxism, Qingdao University of Technology, Qingdao 266520, China)

Abstract

In order to meet energy and environmental challenges, many countries will implement the replacement of fuel vehicles for the future clean energy transition; so, the number of electric vehicles (EVs) operating in cities will grow significantly. It is crucial to assess the risks of the electric vehicle supply chain (EVSC) and prevent them. Based on this, this paper proposes an EVSC risk research framework with combined weights and an improved matter-element extension model: (i) Firstly, the EVSC evaluation index system is constructed from the six stages of supply chain planning, sales, procurement, manufacturing, distribution, after-sales, and external risks. (ii) The subjective and objective weights are calculated by the decision laboratory method and entropy weight method, respectively, and then the minimum deviation method is used for a combined design to overcome the defects of a single method. (iii) An improved matter-element extension model (MEEM) is constructed by introducing asymmetric proximity degree and risk bias. (iv) The model is applied to a case study and its feasibility and superiority are verified through sensitivity analysis and comparative analysis. The final results show that the method and framework proposed in this paper are in line with EVSC risk assessment standards and superior to other models, which can help EVSC managers to identify potential risks, formulate appropriate risk prevention measures, promote the stable development of electric vehicles, and provide a reference for the development of energy and environment.

Suggested Citation

  • 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 1-20, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4249-:d:1396993
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/4249/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/10/4249/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laene Oliveira Soares & Augusto da Cunha Reis & Pedro Senna Vieira & Luis Hernández-Callejo & Ronney Arismel Mancebo Boloy, 2023. "Electric Vehicle Supply Chain Management: A Bibliometric and Systematic Review," Energies, MDPI, vol. 16(4), pages 1-26, February.
    2. Jinshi Cheng & Jiali Wang & Bengang Gong, 2020. "Game-Theoretic Analysis of Price and Quantity Decisions for Electric Vehicle Supply Chain Under Subsidy Reduction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1185-1208, April.
    3. Gu, Xiaoyu & Ieromonachou, Petros & Zhou, Li, 2019. "Subsidising an electric vehicle supply chain with imperfect information," International Journal of Production Economics, Elsevier, vol. 211(C), pages 82-97.
    4. Tamara L. Sheldon, Rubal Dua, and Omar Abdullah Alharbi, 2023. "How Cost-effective are Electric Vehicle Subsidies in Reducing Tailpipe-CO2 Emissions? An Analysis of Major Electric Vehicle Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    5. Wu, Yunna & Jia, Weibing & Li, Lingwenying & Song, Zixin & Xu, Chuanbo & Liu, Fangtong, 2019. "Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation," Energy, Elsevier, vol. 182(C), pages 397-411.
    6. 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.
    7. Peng Ma & Yue Meng & Yeming Gong & Mingdu Li, 2023. "Optimal models for sustainable supply chain finance: evidence from electric vehicle industry," International Journal of Production Research, Taylor & Francis Journals, vol. 61(15), pages 5075-5093, August.
    8. Kuppusamy, Saravanan & Magazine, Michael J. & Rao, Uday, 2021. "Buyer selection and service pricing in an electric fleet supply chain," European Journal of Operational Research, Elsevier, vol. 295(2), pages 534-546.
    9. Michael Naor & Alex Coman & Anat Wiznizer, 2021. "Vertically Integrated Supply Chain of Batteries, Electric Vehicles, and Charging Infrastructure: A Review of Three Milestone Projects from Theory of Constraints Perspective," Sustainability, MDPI, vol. 13(7), pages 1-21, March.
    10. Luo, Chunlin & Leng, Mingming & Huang, Jian & Liang, Liping, 2014. "Supply chain analysis under a price-discount incentive scheme for electric vehicles," European Journal of Operational Research, Elsevier, vol. 235(1), pages 329-333.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Yongling & Leng, Mingming & Zhang, Yaping & Liang, Liping, 2022. "Incentivizing the adoption of electric vehicles in city logistics: Pricing, driving range, and usage decisions under time window policies," International Journal of Production Economics, Elsevier, vol. 245(C).
    2. Fan, Zhi-Ping & Cao, Yue & Huang, Chun-Yong & Li, Yongli, 2020. "Pricing strategies of domestic and imported electric vehicle manufacturers and the design of government subsidy and tariff policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    3. Qingyou Yan & Meijuan Zhang & Wei Li & Guangyu Qin, 2020. "Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    4. Sandeep Jagani & Erika Marsillac & Paul Hong, 2024. "The Electric Vehicle Supply Chain Ecosystem: Changing Roles of Automotive Suppliers," Sustainability, MDPI, vol. 16(4), pages 1-19, February.
    5. Yoo, Seung Ho & Choi, Thomas Y. & Sheu, Jiuh-Biing, 2021. "Electric vehicles and product–service platforms: Now and in future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    6. Mu Li & Yingqi Liu & Weizhong Yue, 2022. "Evolutionary Game of Actors in China’s Electric Vehicle Charging Infrastructure Industry," Energies, MDPI, vol. 15(23), pages 1-20, November.
    7. Rasti-Barzoki, Morteza & Moon, Ilkyeong, 2021. "A game theoretic approach for analyzing electric and gasoline-based vehicles’ competition in a supply chain under government sustainable strategies: A case study of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    8. Tang, Juan & Ji, Guan-Qun & Liu, Zhi & Sheu, Jiuh-Biing, 2024. "Electric vehicle battery-charging service and operations managing under different charging station construction modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    9. Mohammadzadeh, Narges & Zegordi, Seyed Hessameddin & Nikbakhsh, Ehsan, 2021. "Pricing and free periodic maintenance service decisions for an electric-and-fuel automotive supply chain using the total cost of ownership," Applied Energy, Elsevier, vol. 288(C).
    10. Shao, Jing & Jiang, Changmin & Cui, Yinglong & Tang, Yao, 2023. "A game-theoretic model to compare charging infrastructure subsidy and electric vehicle subsidy policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    11. Zhongwei Chen & Zhi-Ping Fan, 2023. "Improvement strategies of battery driving range in an electric vehicle supply chain considering subsidy threshold and cost misreporting," Annals of Operations Research, Springer, vol. 326(1), pages 89-113, July.
    12. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "Impact of government subsidy on the optimal R&D and advertising investment in the cooperative supply chain of new energy vehicles," Energy Policy, Elsevier, vol. 164(C).
    13. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    14. Yingxiao Li & Jianheng Zhou, 2022. "Sustainable Supplier’s Equilibrium Discount Strategy under Random Demand," Sustainability, MDPI, vol. 14(8), pages 1-12, April.
    15. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    16. Jun-bin Wang & Lufei Huang, 2021. "A Game-Theoretic Analytical Approach for Fostering Energy-Saving Innovation in the Electric Vehicle Supply Chain," SAGE Open, , vol. 11(2), pages 21582440211, June.
    17. Yaxin Wang & Haoyu Wen & ZhongQuan Hu & Yuntao Zhang, 2023. "Collaborative Innovation Strategy of Supply Chain in the Context of MCU Domestic Substitution : A Differential Game Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1039-1074, March.
    18. Zhang, Tong & Burke, Paul J. & Wang, Qi, 2024. "Effectiveness of electric vehicle subsidies in China: A three-dimensional panel study," Resource and Energy Economics, Elsevier, vol. 76(C).
    19. Yurong Chen & Juan Zhang, 2024. "Impact of Consumer Subsidy Considering Subsidy Threshold on New Energy Vehicle Firms and Environmental Benefits," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
    20. Ma, Junhai & Hou, Yaming & Wang, Zongxian & Yang, Wenhui, 2021. "Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).

    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:gam:jsusta:v:16:y:2024:i:10:p:4249-:d:1396993. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.