IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v238y2022ipcs0360544221022520.html
   My bibliography  Save this article

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

Author

Listed:
  • Liu, Yajie
  • Dong, Feng

Abstract

To alleviate the pressure on energy and the environment, and promote the upgrading of automobile industry, it is imperative to ban the sale of gasoline vehicles. Therefore, based on co-evolutionary game theory, we considered consumers, automobile production enterprises, and the government involved in banning gasoline vehicles. The main results are as follows. (1) When the potential benefits of enterprises selling gasoline vehicles exceeded the potential penalties, and the potential benefits of positive supervision for the government was less than the potential benefits of negative supervision, the policy of banning gasoline vehicles became invalid. (2) When the utility of non-gasoline vehicles (NGVs) was higher than the penalty for violations, the producers' excess revenue exceeded the research and development (R&D) investment in NGVs, and the excess incentive of the government was less than the cost of positive supervision, the system eventually reached the ideal evolutionary equilibrium status. (3) Changes in factors such as media exposure, the utility of NGVs, R&D investments, technical subsidies, and double integral prices affected the speed that the system moved toward an ideal equilibrium strategy. Our findings have significant implications for how to banning gasoline vehicles, which can guarantee the implementation effect of this policy.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:238:y:2022:i:pc:s0360544221022520
    DOI: 10.1016/j.energy.2021.122004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221022520
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.122004?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. Freille, Sebastian & Haque, M. Emranul & Kneller, Richard, 2007. "A contribution to the empirics of press freedom and corruption," European Journal of Political Economy, Elsevier, vol. 23(4), pages 838-862, December.
    2. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    3. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    4. Gupta, Ranjit & Mejia, Cristian & Gianchandani, Yogesh & Kajikawa, Yuya, 2020. "Analysis on formation of emerging business ecosystems from deals activities of global electric vehicles hub firms," Energy Policy, Elsevier, vol. 145(C).
    5. Zingales, Luigi & Dyck, Alexander, 2002. "Private Benefits of Control: An International Comparison," CEPR Discussion Papers 3177, C.E.P.R. Discussion Papers.
    6. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    7. Wu, Yang Andrew & Ng, Artie W. & Yu, Zichao & Huang, Jie & Meng, Ke & Dong, Z.Y., 2021. "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," Energy Policy, Elsevier, vol. 148(PB).
    8. Mabit, Stefan L. & Cherchi, Elisabetta & Jensen, Anders F. & Jordal-Jørgensen, Jørgen, 2015. "The effect of attitudes on reference-dependent preferences: Estimation and validation for the case of alternative-fuel vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 17-28.
    9. Li, Yaoming & Zhang, Qi & Liu, Boyu & McLellan, Benjamin & Gao, Yuan & Tang, Yanyan, 2018. "Substitution effect of New-Energy Vehicle Credit Program and Corporate Average Fuel Consumption Regulation for Green-car Subsidy," Energy, Elsevier, vol. 152(C), pages 223-236.
    10. 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).
    11. Luo, Guoliang & Liu, Yingxuan & Zhang, Liping & Xu, Xuan & Guo, Yiwei, 2021. "Do governmental subsidies improve the financial performance of China’s new energy power generation enterprises?," Energy, Elsevier, vol. 227(C).
    12. Martin A. Nowak & Akira Sasaki & Christine Taylor & Drew Fudenberg, 2004. "Emergence of cooperation and evolutionary stability in finite populations," Nature, Nature, vol. 428(6983), pages 646-650, April.
    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).
    14. Junquera, Beatriz & Moreno, Blanca & Álvarez, Roberto, 2016. "Analyzing consumer attitudes towards electric vehicle purchasing intentions in Spain: Technological limitations and vehicle confidence," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 6-14.
    15. Shen, Huayu & Hou, Fei, 2021. "Trade policy uncertainty and corporate innovation evidence from Chinese listed firms in new energy vehicle industry," Energy Economics, Elsevier, vol. 97(C).
    16. Xu, Li & Zhang, Qin & Shi, Xunpeng, 2019. "Stakeholders strategies in poverty alleviation and clean energy access: A case study of China's PV poverty alleviation program," Energy Policy, Elsevier, vol. 135(C).
    17. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    18. Weng, Yuwei & Cai, Wenjia & Wang, Can, 2021. "Evaluating the use of BECCS and afforestation under China’s carbon-neutral target for 2060," Applied Energy, Elsevier, vol. 299(C).
    19. Shafiei, Ehsan & Davidsdottir, Brynhildur & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi & Fazeli, Reza & Gestsson, Marías Halldór & Leaver, Jonathan, 2019. "Simulation-based appraisal of tax-induced electro-mobility promotion in Iceland and prospects for energy-economic development," Energy Policy, Elsevier, vol. 133(C).
    20. Rodolphe Durand & Robert M. Grant & Tammy L. Madsen & Lenos Trigeorgis & Jeffrey J. Reuer, 2017. "Real options theory in strategic management," Strategic Management Journal, Wiley Blackwell, vol. 38(1), pages 42-63, January.
    21. Cheng, Yongwei & Fan, Tijun, 2021. "Production coopetition strategies for an FV automaker and a competitive NEV automaker under the dual-credit policy," Omega, Elsevier, vol. 103(C).
    22. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    23. Li, Junqiang & Ren, Hao & Wang, Mingyue, 2021. "How to escape the dilemma of charging infrastructure construction? A multi-sectorial stochastic evolutionary game model," Energy, Elsevier, vol. 231(C).
    24. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    25. 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.
    26. Adrian Rinscheid & Silvia Pianta & Elke U. Weber, 2020. "Fast track or Slo-Mo? Public support and temporal preferences for phasing out fossil fuel cars in the United States," Climate Policy, Taylor & Francis Journals, vol. 20(1), pages 30-45, January.
    27. Chu, Chien-Chi & Li, Yong-Li & Li, Shi-Jie & Ji, Yun, 2021. "Uncertainty, venture capital and entrepreneurial enterprise innovation—Evidence from companies listed on China's GEM," Pacific-Basin Finance Journal, Elsevier, vol. 68(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. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    2. 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).
    3. Zhang, Jiangyun & Shao, Dan & Jiang, Liqin & Zhang, Guoqing & Wu, Hongwei & Day, Rodney & Jiang, Wenzhao, 2022. "Advanced thermal management system driven by phase change materials for power lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Dong, Feng & Li, Yangfan & Li, Kun & Zhu, Jiao & Zheng, Lu, 2022. "Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method," Energy, Elsevier, vol. 241(C).
    5. He, Haonan & Chen, Wenze & Zhou, Qi, 2023. "Subsidy allocation strategies for power industry’s clean transition under Bayesian Nash equilibrium," Energy Policy, Elsevier, vol. 182(C).
    6. Li, Kun & Dong, Feng, 2022. "Government strategy for banning gasoline vehicles: Evidence from tripartite evolutionary game," Energy, Elsevier, vol. 254(PA).
    7. Pan, Yuling & Dong, Feng, 2022. "Dynamic evolution and driving factors of new energy development: Fresh evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. 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.
    9. Zheng, Shan & Yu, Lianghong, 2022. "The government's subsidy strategy of carbon-sink fishery based on evolutionary game," Energy, Elsevier, vol. 254(PB).
    10. Feng Dong & Chang Qin & Xiaoyun Zhang & Xu Zhao & Yuling Pan & Yujin Gao & Jiao Zhu & Yangfan Li, 2021. "Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency," IJERPH, MDPI, vol. 18(24), pages 1-23, December.

    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. 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. 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).
    3. Kim, Kyungah & Lee, Jongsu & Kim, Junghun, 2021. "Can liquefied petroleum gas vehicles join the fleet of alternative fuel vehicles? Implications of transportation policy based on market forecast and environmental impact," Energy Policy, Elsevier, vol. 154(C).
    4. 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).
    5. 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).
    6. 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).
    7. 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).
    8. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    9. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    10. 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).
    11. Yangyang Wang & Yongxi Yi & Chunyan Fu & Yuqiong Li, 2023. "Price competition and joint energy‐consumption reduction technology investment of new energy and fuel vehicles under the double‐points policy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2278-2291, June.
    12. Iogansen, Xiatian & Wang, Kailai & Bunch, David & Matson, Grant & Circella, Giovanni, 2023. "Deciphering the factors associated with adoption of alternative fuel vehicles in California: An investigation of latent attitudes, socio-demographics, and neighborhood effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    13. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    14. Andriosopoulos, Kostas & Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2018. "The impact of age on Italian consumers' attitude toward alternative fuel vehicles," Renewable Energy, Elsevier, vol. 119(C), pages 299-308.
    15. Renjie Zhang & Hsingwei Tai & Kuotai Cheng & Huizhong Dong & Wenhui Liu & Junjie Hou, 2022. "Carbon Emission Efficiency Network: Evolutionary Game and Sensitivity Analysis between Differentiated Efficiency Groups and Local Governments," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
    16. Fengxiu Zhou & Chien-Chiang Lee, 2023. "Political uncertainty and innovation of export enterprises: international evidence for developing countries," Economic Change and Restructuring, Springer, vol. 56(6), pages 4371-4400, December.
    17. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    18. Ye Yang & Zhongfu Tan, 2019. "Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    19. Liu, Dandan & Wang, Delu & Mao, Jinqi, 2023. "Study on policy synergy strategy of the central government and local governments in the process of coal de-capacity: Based on a two-stage evolutionary game method," Resources Policy, Elsevier, vol. 80(C).
    20. Ma, Miaomiao & Meng, Weidong & Huang, Bo & Li, Yuyu, 2023. "The influence of dual credit policy on new energy vehicle technology innovation under demand forecast information asymmetry," Energy, Elsevier, vol. 271(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:eee:energy:v:238:y:2022:i:pc:s0360544221022520. 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.