IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8543-d1490073.html
   My bibliography  Save this article

A Sustainable Production Planning Scheme for New Energy Vehicles in China

Author

Listed:
  • Lu Xiao

    (School of Management, Guizhou University, Guiyang 550025, China
    School of Tourism Management, Guizhou University of Commerce, Guiyang 550014, China)

  • Feiyue Yang

    (School of Management, Guizhou University, Guiyang 550025, China)

  • Yong Yang

    (School of Management, Guizhou University, Guiyang 550025, China)

  • Che Chen

    (State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China)

  • Wuer Ha

    (College of Science, Minzu University of China, Beijing 100081, China)

Abstract

The carbon emissions of new energy vehicles (NEVs)have transited from the use stage to the production stage, indicating that the environmental impact of NEVs in the manufacturing stage cannot be ignored. To reduce carbon emissions and maintain profits, this study proposes a fuzzy multi-objective optimization model to achieve a sustainable production planning scheme for NEVs. The proposed model not only considers the maximum profits of automobile enterprises but also the minimum target of carbon emissions in the production process, to coordinate the optimal production quantity. The results show that the output of NEVs in different price ranges has different proportions. The market share of blade electric vehicles is the highest, accounting for 39% of the NEV market, and the proportion of plug-in hybrid and blade electric vehicles is increasing. The sensitivity analysis further reflects the impact of government subsidy “recession” and body lightweight on the output, carbon emissions, and annual profits of NEVs in China. Accordingly, this paper provides policy implications for achieving a sustainable production planning scheme for NEVs in China.

Suggested Citation

  • Lu Xiao & Feiyue Yang & Yong Yang & Che Chen & Wuer Ha, 2024. "A Sustainable Production Planning Scheme for New Energy Vehicles in China," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8543-:d:1490073
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8543/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/19/8543/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ullah, Kafait & Hamid, Salman & Mirza, Faisal Mehmood & Shakoor, Usman, 2018. "Prioritizing the gaseous alternatives for the road transport sector of Pakistan: A multi criteria decision making analysis," Energy, Elsevier, vol. 165(PB), pages 1072-1084.
    2. Burd, Joshua Thomas Jameson & Moore, Elizabeth A. & Ezzat, Hesham & Kirchain, Randolph & Roth, Richard, 2021. "Improvements in electric vehicle battery technology influence vehicle lightweighting and material substitution decisions," Applied Energy, Elsevier, vol. 283(C).
    3. Shi, Yunhong & Wang, Honglei & Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin, 2024. "Stochastic optimization of system configurations and operation of hybrid cascade hydro-wind-photovoltaic with battery for uncertain medium- and long-term load growth," Applied Energy, Elsevier, vol. 364(C).
    4. Li, Chengjiang & Hao, Qianwen & Wang, Honglei & Hu, Yu-jie & Xu, Guoteng & Qin, Quande & Wang, Xiaolin & Negnevitsky, Michael, 2024. "Assessing green methanol vehicles' deployment with life cycle assessment-system dynamics model," Applied Energy, Elsevier, vol. 363(C).
    5. Yin, Linfei & Sun, Zhixiang, 2021. "Multi-layer distributed multi-objective consensus algorithm for multi-objective economic dispatch of large-scale multi-area interconnected power systems," Applied Energy, Elsevier, vol. 300(C).
    6. Chengjiang Li & Tingwen Jia & Shiyuan Wang & Xiaolin Wang & Michael Negnevitsky & Honglei Wang & Yujie Hu & Weibin Xu & Na Zhou & Gang Zhao, 2023. "Methanol Vehicles in China: A Review from a Policy Perspective," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    7. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    8. Sumati Mahajan & S. K. Gupta, 2021. "On fully intuitionistic fuzzy multiobjective transportation problems using different membership functions," Annals of Operations Research, Springer, vol. 296(1), pages 211-241, January.
    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. Liang Liang & Qian Mei & Chengjiang Li, 2024. "Does “Dual Credit Policy” Really Matter in Corporate Competitiveness?," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
    2. Gourav Gupta & Shivani & Deepika Rani, 2024. "Neutrosophic goal programming approach for multi-objective fixed-charge transportation problem with neutrosophic parameters," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1274-1300, September.
    3. Paolo Lazzeroni & Brunella Caroleo & Maurizio Arnone & Cristiana Botta, 2021. "A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study," Energies, MDPI, vol. 14(20), pages 1-18, October.
    4. Po Yun & Chen Zhang & Yaqi Wu & Yu Yang, 2022. "Forecasting Carbon Dioxide Price Using a Time-Varying High-Order Moment Hybrid Model of NAGARCHSK and Gated Recurrent Unit Network," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    5. Zhou, Xu & Ma, Zhongjing & Zou, Suli & Zhang, Jinhui, 2022. "Consensus-based distributed economic dispatch for Multi Micro Energy Grid systems under coupled carbon emissions," Applied Energy, Elsevier, vol. 324(C).
    6. Raghad Almashhour & Mohamed AlQahtani & Malick Ndiaye, 2023. "Highway Transportation, Health, and Social Equity: A Delphi-ANP Approach to Sustainable Transport Planning," Sustainability, MDPI, vol. 15(22), pages 1-38, November.
    7. Hasan Huseyin Coban & Wojciech Lewicki & Ewelina Sendek-Matysiak & Zbigniew Łosiewicz & Wojciech Drożdż & Radosław Miśkiewicz, 2022. "Electric Vehicles and Vehicle–Grid Interaction in the Turkish Electricity System," Energies, MDPI, vol. 15(21), pages 1-19, November.
    8. Naseri, F. & Karimi, S. & Farjah, E. & Schaltz, E., 2022. "Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    9. Dorota Burchart & Iga Przytuła, 2024. "Sustainability Assessment Methods for the Transport Sector Considering the Life Cycle Concept—A Review," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    10. Kantapich Preedakorn & David Butler & Jörn Mehnen, 2023. "Challenges for the Adoption of Electric Vehicles in Thailand: Potential Impacts, Barriers, and Public Policy Recommendations," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    11. Alessio Miatto & Nargessadat Emami & Kylie Goodwin & James West & Mohammad Sadegh Taskhiri & Thomas Wiedmann & Heinz Schandl, 2024. "Australia's circular economy metrics and indicators," Journal of Industrial Ecology, Yale University, vol. 28(2), pages 216-231, April.
    12. Chunguang Sheng & Guangyu Wang & Yude Geng & Lirong Chen, 2020. "The Correlation Analysis of Futures Pricing Mechanism in China’s Carbon Financial Market," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    13. Shahriyar Nasirov & Eugenio Cruz & Claudio A. Agostini & Carlos Silva, 2019. "Policy Makers’ Perspectives on the Expansion of Renewable Energy Sources in Chile’s Electricity Auctions," Energies, MDPI, vol. 12(21), pages 1-17, October.
    14. Borut Jereb & Ondrej Stopka & Tomáš Skrúcaný, 2021. "Methodology for Estimating the Effect of Traffic Flow Management on Fuel Consumption and CO 2 Production: A Case Study of Celje, Slovenia," Energies, MDPI, vol. 14(6), pages 1-18, March.
    15. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).
    16. Li, Chengjiang & Hao, Qianwen & Wang, Honglei & Hu, Yu-jie & Xu, Guoteng & Qin, Quande & Wang, Xiaolin & Negnevitsky, Michael, 2024. "Assessing green methanol vehicles' deployment with life cycle assessment-system dynamics model," Applied Energy, Elsevier, vol. 363(C).
    17. Yin, Linfei & Li, Yu, 2022. "Hybrid multi-agent emotional deep Q network for generation control of multi-area integrated energy systems," Applied Energy, Elsevier, vol. 324(C).
    18. Tong Wang & Tuo Zhou & Chaoran Li & Qiang Song & Man Zhang & Hairui Yang, 2024. "Development Status and Prospects of Biomass Energy in China," Energies, MDPI, vol. 17(17), pages 1-25, September.
    19. Shi, Jiantao & Guo, Ye & Wu, Wenchuan & Sun, Hongbin, 2024. "Scenario-oriented multi-area joint market clearing of energy and reserve under uncertainty," Applied Energy, Elsevier, vol. 361(C).
    20. Lin, Chenhao & Liang, Huijun & Pang, Aokang, 2023. "A fast data-driven optimization method of multi-area combined economic emission dispatch," Applied Energy, Elsevier, vol. 337(C).

    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:19:p:8543-:d:1490073. 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.