IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipds0360544221025299.html
   My bibliography  Save this article

Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation

Author

Listed:
  • Huang, Xingjun
  • Lin, Yun
  • Lim, Ming K.
  • Zhou, Fuli
  • Ding, Rui
  • Zhang, Zusheng

Abstract

Low profit margins have become a significant barrier to investment in and the operation of electric vehicle-charging infrastructure, leading to an urgent need for new business models. Notwithstanding, nonmandatory policies and unclear responsibilities create a social dilemma in which it is difficult to promote charging facilities in urban residential areas. This study examines the feasibility of overcoming this dilemma by examining possible incentive mechanisms involving government, charging infrastructure operators, real estate agencies, and electric vehicle users. Leveraging evolutionary game theory, this study designs a theoretical model based on strategic interactions among different agents in promoting charging facilities in urban residential areas. Our results indicate that (1) the optimal scenario in one in which all participants work closely together to popularize charging facilities, and this scenario has theoretical possibilities in the real world; (2) government subsidies are necessary but not sufficient for promoting charging facilities in urban residential areas; (3) electric vehicle user participation in promotion is critical; and (4) the operation model in this study is more economically efficient than prevalent industrial operation models, and the role of real estate agencies cannot be ignored.

Suggested Citation

  • Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025299
    DOI: 10.1016/j.energy.2021.122281
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221025299
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122281?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anastasopoulos, Nikolaos P. & Anastasopoulos, Markos P., 2012. "The evolutionary dynamics of audit," European Journal of Operational Research, Elsevier, vol. 216(2), pages 469-476.
    2. Neaimeh, Myriam & Salisbury, Shawn D. & Hill, Graeme A. & Blythe, Philip T. & Scoffield, Don R. & Francfort, James E., 2017. "Analysing the usage and evidencing the importance of fast chargers for the adoption of battery electric vehicles," Energy Policy, Elsevier, vol. 108(C), pages 474-486.
    3. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    4. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    5. Kumar, Lakshya & Jindal, Apurva & Velaga, Nagendra R., 2018. "Financial risk assessment and modelling of PPP based Indian highway infrastructure projects," Transport Policy, Elsevier, vol. 62(C), pages 2-11.
    6. Zhang, Qi & Li, Hailong & Zhu, Lijing & Campana, Pietro Elia & Lu, Huihui & Wallin, Fredrik & Sun, Qie, 2018. "Factors influencing the economics of public charging infrastructures for EV – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 500-509.
    7. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).
    8. Cai, Gangshu & Kock, Ned, 2009. "An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness," European Journal of Operational Research, Elsevier, vol. 194(3), pages 821-833, May.
    9. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    10. Lei Gao & Zhen-Yu Zhao, 2018. "System Dynamics Analysis of Evolutionary Game Strategies between the Government and Investors Based on New Energy Power Construction Public-Private-Partnership (PPP) Project," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    11. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    12. repec:hhs:iuiwop:487 is not listed on IDEAS
    13. Jonas Eliasson & Fredrik Kopsch & Svante Mandell & Mats Wilhelmsson, 2020. "Transport Mode and the Value of Accessibility–A Potential Input for Sustainable Investment Analysis," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    14. Wu, Yunna & Song, Zixin & Li, Lingwenying & Xu, Ruhang, 2018. "Risk management of public-private partnership charging infrastructure projects in China based on a three-dimension framework," Energy, Elsevier, vol. 165(PA), pages 1089-1101.
    15. Yi, Yuyin & Yang, Haishen, 2017. "Wholesale pricing and evolutionary stable strategies of retailers under network externality," European Journal of Operational Research, Elsevier, vol. 259(1), pages 37-47.
    16. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
    17. Ji, Ping & Ma, Xin & Li, Gang, 2015. "Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective," International Journal of Production Economics, Elsevier, vol. 166(C), pages 155-162.
    18. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
    19. Tan, Ruipeng & Lin, Boqiang, 2020. "Are people willing to support the construction of charging facilities in China?," Energy Policy, Elsevier, vol. 143(C).
    20. Encarnação, Sara & Santos, Fernando P. & Santos, Francisco C. & Blass, Vered & Pacheco, Jorge M. & Portugali, Juval, 2018. "Paths to the adoption of electric vehicles: An evolutionary game theoretical approach," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 24-33.
    21. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    22. Fang, Yujuan & Chen, Laijun & Mei, Shengwei & Wei, Wei & Huang, Shaowei & Liu, Feng, 2019. "Coal or electricity? An evolutionary game approach to investigate fuel choices of urban heat supply systems," Energy, Elsevier, vol. 181(C), pages 107-122.
    23. Silveira, Douglas & Vasconcelos, Silvinha, 2020. "Essays on duopoly competition with asymmetric firms: Is profit maximization always an evolutionary stable strategy?," International Journal of Production Economics, Elsevier, vol. 225(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. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Liu, Feng, 2022. "Electric vehicle charging station diffusion: An agent-based evolutionary game model in complex networks," Energy, Elsevier, vol. 257(C).
    2. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    3. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    4. Idiano D’Adamo & Massimo Gastaldi & Jacopo Piccioni & Paolo Rosa, 2023. "The Role of Automotive Flexibility in Supporting the Diffusion of Sustainable Mobility Initiatives: A Stakeholder Attitudes Assessment," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 459-481, September.
    5. Tao Li & Lei Ma & Zheng Liu & Chaonan Yi & Kaitong Liang, 2023. "Dual Carbon Goal-Based Quadrilateral Evolutionary Game: Study on the New Energy Vehicle Industry in China," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    6. 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).

    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. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    3. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Liu, Feng, 2022. "Electric vehicle charging station diffusion: An agent-based evolutionary game model in complex networks," Energy, Elsevier, vol. 257(C).
    4. Shandong Mou & Kexin Zhong & Yamin Ma, 2023. "Regulating the Big Data-Based Discriminatory Pricing in Platform Retailing: A Tripartite Evolutionary Game Theory Analysis," Mathematics, MDPI, vol. 11(11), pages 1-21, June.
    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. Kehong Li & Wenke Wang & Yadong Zhang & Tao Zheng & Jin Guo, 2019. "Game Modelling and Strategy Research on the System Dynamics–Based Quadruplicate Evolution for High–Speed Railway Operational Safety Supervision System," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    7. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2022. "Developing hydrogen refueling stations: An evolutionary game approach and the case of China," Energy Economics, Elsevier, vol. 115(C).
    8. Liu, Yang & Cui, Mengying & Gao, Xubin, 2023. "Building up scrap steel bases for perfecting scrap steel industry chain in China: An evolutionary game perspective," Energy, Elsevier, vol. 278(C).
    9. Shan, Haiyan & Pi, Wenjie, 2023. "Mitigating panic buying behavior in the epidemic: An evolutionary game perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    10. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    11. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    12. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    13. Wenke Wang & Xiaoqiong You & Kebei Liu & Yenchun Jim Wu & Daming You, 2020. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    14. Yong He & Peng He & Feifei Xu & Chunming (Victor) Shi, 2019. "Sustainable tourism modeling: Pricing decisions and evolutionarily stable strategies for competitive tour operators," Tourism Economics, , vol. 25(5), pages 779-799, August.
    15. Brozynski, Max T. & Leibowicz, Benjamin D., 2022. "A multi-level optimization model of infrastructure-dependent technology adoption: Overcoming the chicken-and-egg problem," European Journal of Operational Research, Elsevier, vol. 300(2), pages 755-770.
    16. Tan, Bing Qing & Kang, Kai & Zhong, Ray Y., 2023. "Electric vehicle charging infrastructure investment strategy analysis: State-owned versus private parking lots," Transport Policy, Elsevier, vol. 141(C), pages 54-71.
    17. Xia, Xiaoning & Li, Pengwei & Cheng, Yang, 2023. "Tripartite evolutionary game analysis of power battery carbon footprint disclosure under the EU battery regulation," Energy, Elsevier, vol. 284(C).
    18. Zihan Zhang & Junkang Song & Wanjiang Wang, 2023. "Study on the Behavior Strategy of the Subject of Low-Carbon Retrofit of Residential Buildings Based on Tripartite Evolutionary Game," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
    19. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    20. Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.

    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:eee:energy:v:239:y:2022:i:pd:s0360544221025299. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.