IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i17p13190-d1231410.html
   My bibliography  Save this article

Impact of Carbon Trading Mechanism Considering Blockchain Technology on the Evolution of New Energy Vehicle Industry in the Post-Subsidy Era

Author

Listed:
  • Wenhui Zhao

    (College of Economics and Management, Shanghai Electric Power University, Shanghai 201306, China)

  • Yimeng Liu

    (College of Economics and Management, Shanghai Electric Power University, Shanghai 201306, China)

  • Jiansheng Hou

    (Jinhua Power Supply Company, Jinhua 321035, China
    State Grid Zhejiang Electric Power Co., Jinhua 321000, China)

  • Lifang Liu

    (Shanghai Qiyuan Core Power Technology Co., Ltd., National Power Investment Green Power Transportation Industry Innovation Center, Shanghai 201700, China)

Abstract

The incentives for the new energy vehicle industry have been decreasing year by year, and the industry has gradually returned from being “government-oriented” to “market-oriented”. In this context, motivating car companies and consumers to choose new energy vehicles to reach the dual-carbon goal is an urgent problem to be solved. In this study, we consider using blockchain technology to include the new energy vehicle industry in carbon trading, analyze the strategic choices of the government, automobile manufacturers, and consumers from the perspective of evolutionary games, and use MATLAB 2017b to conduct simulation analysis. The results show that (1) the implementation of a carbon trading mechanism by the government is favorable to automobile manufacturers and consumers in choosing new energy vehicles, but it is greatly influenced by the costs of technology implementation; (2) the government can induce consumers and automakers to choose new energy vehicles through total control and initial carbon quotas; and (3) the additional investment costs of automobile manufacturers will affect their willingness to produce new energy vehicles, and the government can adjust the existing “double points” policy to encourage automobile manufacturers to choose to produce new energy vehicles.

Suggested Citation

  • Wenhui Zhao & Yimeng Liu & Jiansheng Hou & Lifang Liu, 2023. "Impact of Carbon Trading Mechanism Considering Blockchain Technology on the Evolution of New Energy Vehicle Industry in the Post-Subsidy Era," Sustainability, MDPI, vol. 15(17), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13190-:d:1231410
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/17/13190/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/17/13190/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Yajie & Dong, Feng, 2022. "What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model," Energy, Elsevier, vol. 238(PC).
    2. Li, Zhitang & Zhang, Cuihua & Xu, Henry & Lyu, Ruxia, 2023. "The optimal vehicle product line strategy considering product information disclosure under government carbon regulation," Omega, Elsevier, vol. 119(C).
    3. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    4. Li, Kun & Dong, Feng, 2022. "Government strategy for banning gasoline vehicles: Evidence from tripartite evolutionary game," Energy, Elsevier, vol. 254(PA).
    5. Zhu, Lijing & Wang, Peize & Zhang, Qi, 2019. "Indirect network effects in China’s electric vehicle diffusion under phasing out subsidies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    6. Wang, Zhongcheng & Li, Xinyue & Xue, Xinhong & Liu, Yahuan, 2022. "More government subsidies, more green innovation? The evidence from Chinese new energy vehicle enterprises," Renewable Energy, Elsevier, vol. 197(C), pages 11-21.
    7. Liao, Dongsheng & Tan, Binbin, 2023. "An evolutionary game analysis of new energy vehicles promotion considering carbon tax in post-subsidy era," Energy, Elsevier, vol. 264(C).
    8. Chen, Rongkai & Fan, Ruguo & Wang, Dongxue & Yao, Qianyi, 2023. "Effects of multiple incentives on electric vehicle charging infrastructure deployment in China: An evolutionary analysis in complex network," Energy, Elsevier, vol. 264(C).
    9. Nie, Qingyun & Zhang, Lihui & Li, Songrui, 2022. "How can personal carbon trading be applied in electric vehicle subsidies? A Stackelberg game method in private vehicles," Applied Energy, Elsevier, vol. 313(C).
    10. Liu, Chang & Liu, Yuan & Zhang, Dayong & Xie, Chunping, 2022. "The capital market responses to new energy vehicle (NEV) subsidies: An event study on China," Energy Economics, Elsevier, vol. 105(C).
    11. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Hubacek, Klaus, 2022. "Strategies for applying carbon trading to the new energy vehicle market in China: An improved evolutionary game analysis for the bus industry," Energy, Elsevier, vol. 259(C).
    12. Diao, Qinghua & Sun, Wei & Yuan, Xinmei & Li, Lili & Zheng, Zhi, 2016. "Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies," Applied Energy, Elsevier, vol. 178(C), pages 567-578.
    13. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hongbin Sun & Xinmei Sun & Lei Kou & Wende Ke, 2023. "Low-Carbon Economic Operation Optimization of Park-Level Integrated Energy Systems with Flexible Loads and P2G under the Carbon Trading Mechanism," Sustainability, MDPI, vol. 15(21), pages 1-25, October.

    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. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Hubacek, Klaus, 2022. "Strategies for applying carbon trading to the new energy vehicle market in China: An improved evolutionary game analysis for the bus industry," Energy, Elsevier, vol. 259(C).
    2. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    3. Li, Jingjing & Nian, Victor & Jiao, Jianling, 2022. "Diffusion and benefits evaluation of electric vehicles under policy interventions based on a multiagent system dynamics model," Applied Energy, Elsevier, vol. 309(C).
    4. Liu, Yajie & Dong, Feng & Li, Guoqing & Huang, Jianheng & Yang, Shanshan & Wang, Yulong, 2023. "Public willingness to support the policy of banning gasoline vehicles sales and its internal mechanism," Energy, Elsevier, vol. 271(C).
    5. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    6. Liao, Dongsheng & Tan, Binbin, 2023. "An evolutionary game analysis of new energy vehicles promotion considering carbon tax in post-subsidy era," Energy, Elsevier, vol. 264(C).
    7. Wang, Yitong & Fan, Ruguo & Du, Kang & Bao, Xuguang, 2023. "Exploring incentives to promote electric vehicles diffusion under subsidy abolition: An evolutionary analysis on multiplex consumer social networks," Energy, Elsevier, vol. 276(C).
    8. Lin, Boqiang & Shi, Lei, 2022. "Do environmental quality and policy changes affect the evolution of consumers’ intentions to buy new energy vehicles," Applied Energy, Elsevier, vol. 310(C).
    9. Zhang, Xiang & Hu, Xiaoming & Qi, Liang, 2022. "Terminated local subsidy on electric vehicle adoption during the COVID-19 pandemic: The case of Chongqing City," Energy, Elsevier, vol. 259(C).
    10. Liu, Peide & Li, Xina & Li, Jialu, 2023. "Competitive firms’ low-carbon technology diffusion under pollution regulations: A network-based evolutionary analysis," Energy, Elsevier, vol. 282(C).
    11. Luo, Qi & Yin, Yunlei & Chen, Pengyu & Zhan, Zhenfei & Saigal, Romesh, 2022. "Dynamic subsidies for synergistic development of charging infrastructure and electric vehicle adoption," Transport Policy, Elsevier, vol. 129(C), pages 117-136.
    12. Nie, Qingyun & Zhang, Lihui & Li, Songrui, 2022. "How can personal carbon trading be applied in electric vehicle subsidies? A Stackelberg game method in private vehicles," Applied Energy, Elsevier, vol. 313(C).
    13. Zheng, Shan & Yu, Lianghong, 2022. "The government's subsidy strategy of carbon-sink fishery based on evolutionary game," Energy, Elsevier, vol. 254(PB).
    14. Yushi Wang & Licheng Sun & Shilong Li, 2022. "Production Decisions of Automakers Considering the Impact of Anticipated Regret under the Dual-Credit Policy," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    15. Yu, Liukai & Zheng, Junjun & Ma, Gang & Jiao, Yangyang, 2023. "Analyzing the evolution trend of energy conservation and carbon reduction in transportation with promoting electrification in China," Energy, Elsevier, vol. 263(PD).
    16. Yuchao Li & Lijie Zhang & Jiamin Liu & Xinpei Qiao, 2023. "Can the Dual-Credit Policy Help China’s New Energy Vehicle Industry Achieve Corner Overtaking?," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    17. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    18. Xiong, Siqin & Yuan, Yi & Yao, Jia & Bai, Bo & Ma, Xiaoming, 2023. "Exploring consumer preferences for electric vehicles based on the random coefficient logit model," Energy, Elsevier, vol. 263(PA).
    19. Meng Ding & Hui Zeng, 2022. "Multi-Agent Evolutionary Game in the Recycling Utilization of Sulfate-Rich Wastewater," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    20. Zou, Chen & Huang, Yongchun & Hu, Shiliang & Huang, Zhan, 2023. "Government participation in low-carbon technology transfer: An evolutionary game study," Technological Forecasting and Social Change, Elsevier, vol. 188(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:15:y:2023:i:17:p:13190-:d:1231410. 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.