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Promoting the Diffusion of New Energy Vehicles under Dual Credit Policy: Asymmetric Competition and Cooperation in Complex Network

Author

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  • Liukai Yu

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Xuehai Jiang

    (Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou 535011, China)

  • Yujie He

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Yangyang Jiao

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

Abstract

This study aims to investigate the impact of dual credit policy on the diffusion of new energy vehicles (NEVs) from the perspective of complex interactions among heterogeneous manufacturers. Thus, the market competition and credit cooperation relationships, constituting the complex interrelated system in NEV diffusion, are considered in this paper. To this end, we established a double-layer complex network to depict the asymmetric competition and cooperation structure, and developed an evolution game model on network, revealing the diffusion rule and trend of NEVs among manufacturers. Simulation results show that the existence of credit cooperation relationship can effectively improve the diffusion of NEVs, especially when implementing cooperative strategy that prioritizes helping manufacturers with low sale profits. Such a cooperative strategy is effective for maintaining high diffusion of NEVs even under low NEV credit’s trading price. Meanwhile, the monopoly competitive structure characterized by scale free is harmful to NEV diffusion. However, credit cooperation can eliminate the by-effect of monopoly structure greatly by adopting the strategy of distributing by sale profits. In addition, manufacturers are advised to learn from their competitors during the evolutionary process, which should be the focus of manufacturers to maximize the NEV diffusion under small world competitive structure.

Suggested Citation

  • Liukai Yu & Xuehai Jiang & Yujie He & Yangyang Jiao, 2022. "Promoting the Diffusion of New Energy Vehicles under Dual Credit Policy: Asymmetric Competition and Cooperation in Complex Network," Energies, MDPI, vol. 15(15), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5361-:d:870409
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    References listed on IDEAS

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    1. Shao, Lulu & Yang, Jun & Zhang, Min, 2017. "Subsidy scheme or price discount scheme? Mass adoption of electric vehicles under different market structures," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1181-1195.
    2. Xiaojia Wang & Chenggong Li & Jennifer Shang & Changhui Yang & Bingli Zhang & Xinsheng Ke, 2017. "Strategic Choices of China’s New Energy Vehicle Industry: An Analysis Based on ANP and SWOT," Energies, MDPI, vol. 10(4), pages 1-27, April.
    3. Hsieh, I-Yun Lisa & Pan, Menghsuan Sam & Green, William H., 2020. "Transition to electric vehicles in China: Implications for private motorization rate and battery market," Energy Policy, Elsevier, vol. 144(C).
    4. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    5. Yang, Rui & Tang, Wansheng & Zhang, Jianxiong, 2021. "Technology improvement strategy for green products under competition: The role of government subsidy," European Journal of Operational Research, Elsevier, vol. 289(2), pages 553-568.
    6. Li, Jizi & Ku, Yaoyao & Yu, Yue & Liu, Chunling & Zhou, Yuping, 2020. "Optimizing production of new energy vehicles with across-chain cooperation under China’s dual credit policy," Energy, Elsevier, vol. 194(C).
    7. 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).
    8. Kangda Chen & Fuquan Zhao & Han Hao & Zongwei Liu, 2018. "Synergistic Impacts of China’s Subsidy Policy and New Energy Vehicle Credit Regulation on the Technological Development of Battery Electric Vehicles," Energies, MDPI, vol. 11(11), pages 1-19, November.
    9. Wang, Shanyong & Li, Jun & Zhao, Dingtao, 2017. "The impact of policy measures on consumer intention to adopt electric vehicles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 14-26.
    10. Bishop, Justin D.K. & Martin, Niall P.D. & Boies, Adam M., 2016. "Quantifying the role of vehicle size, powertrain technology, activity and consumer behaviour on new UK passenger vehicle fleet energy use and emissions under different policy objectives," Applied Energy, Elsevier, vol. 180(C), pages 196-212.
    11. Ou, Shiqi & Lin, Zhenhong & Qi, Liang & Li, Jie & He, Xin & Przesmitzki, Steven, 2018. "The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China," Energy Policy, Elsevier, vol. 121(C), pages 597-610.
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    2. Ying Xie & Jie Wu & Hannian Zhi & Muhammad Riaz & Liangpeng Wu, 2023. "A Study on the Evolution of Competition in China’s Auto Market Considering Market Capacity Constraints and a Game Payoff Matrix: Based on the Dual Credit Policy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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