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The impact of green consumers on electric vehicle charging station diffusion based on complex network evolutionary game

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  • Feng Liu
  • Xingjun Huang
  • Longxiao Li

Abstract

The disparity between the supply and demand for public charging stations impedes road vehicle electrification. The public charging station, a socially produced artefact, is subject to customer preferences and government regulatory limits. However, traditional knowledge does not completely capture the complex dynamics behind the public charging station investment, and a combined interactive decision review is inadequate. To examine enhanced dynamic interactions, this paper provides a complex network evolutionary game model. According to the findings, subsidies for charging infrastructure construction are more vital than electric vehicle subsidies. Under present market conditions, removing the electric vehicle subsidy reduces the market percentage of charging stations by 6%, whereas removing the charging station construction incentive results in a 35% decline. Second, charging price and charging station diffusion has an inverted U-shaped relationship, and increasing the oil price slows charging station dispersion. Third, the construction cost has less of an influence on charging station diffusion. Finally, green consumer preferences are the key driver of public charging station investment. An increase in consumer preference from 0.17 to 0.38 would lead to a 30% increase in the market share of the charging station industry from 53% to 83%. Based on these results, policy implications for the investment in public charging stations are discussed.

Suggested Citation

  • Feng Liu & Xingjun Huang & Longxiao Li, 2024. "The impact of green consumers on electric vehicle charging station diffusion based on complex network evolutionary game," Energy & Environment, , vol. 35(8), pages 3981-4002, December.
    • Handle: RePEc:sae:engenv:v:35:y:2024:i:8:p:3981-4002
    DOI: 10.1177/0958305X231164678
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    1. Schulz, Felix & Rode, Johannes, 2022. "Public charging infrastructure and electric vehicles in Norway," Energy Policy, Elsevier, vol. 160(C).
    2. Yenipazarli, A. & Vakharia, A., 2015. "Pricing, market coverage and capacity: Can green and brown products co-exist?," European Journal of Operational Research, Elsevier, vol. 242(1), pages 304-315.
    3. Feng Liu & Yingshuang Tan & Sudipto Sarkar & Xueqing Zhang & Xingjun Huang, 2023. "When to invest in electric vehicles under dual credit policy: A real options approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2186-2198, June.
    4. Baumgarte, Felix & Kaiser, Matthias & Keller, Robert, 2021. "Policy support measures for widespread expansion of fast charging infrastructure for electric vehicles," Energy Policy, Elsevier, vol. 156(C).
    5. Yao, Xusheng & Ma, Shoufeng & Bai, Yin & Jia, Ning, 2022. "When are new energy vehicle incentives effective? Empirical evidence from 88 pilot cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 207-224.
    6. Zhou, Yu & Xiong, Yu & Jin, Minyue, 2021. "Less is more: Consumer education in a closed-loop supply chain with remanufacturing," Omega, Elsevier, vol. 101(C).
    7. Ardeshiri, Ali & Rashidi, Taha Hossein, 2020. "Willingness to pay for fast charging station for electric vehicles with limited market penetration making," Energy Policy, Elsevier, vol. 147(C).
    8. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    9. Wang, Yuanyuan & Chi, Yuanying & Xu, Jin-Hua & Yuan, Yongke, 2022. "Consumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China," Energy Policy, Elsevier, vol. 165(C).
    10. Keumju Lim & Justine Jihyun Kim & Jongsu Lee, 2020. "Forecasting the future scale of vehicle to grid technology for electric vehicles and its economic value as future electric energy source: The case of South Korea," Energy & Environment, , vol. 31(8), pages 1350-1366, December.
    11. Xu, Hedong & Fan, Suohai & Tian, Cunzhi & Xiao, Xinrong, 2019. "Evolutionary investor sharing game on networks," Applied Mathematics and Computation, Elsevier, vol. 340(C), pages 138-145.
    12. Yang, Han-Xin & Chen, Xiaojie, 2018. "Promoting cooperation by punishing minority," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 460-466.
    13. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
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