Evolutionary Game Analysis of the Production Decisions of Automakers in the Chinese Automobile Industry: A Tripartite Model of Government, Automakers, and Consumers

Jinhuan Tang , Qiong Wu , Yiming Chen , Yuran Jin , Kun Wang

Journal of Systems Science and Systems Engineering ›› 2023, Vol. 32 ›› Issue (6) : 708 -728.

PDF
Journal of Systems Science and Systems Engineering ›› 2023, Vol. 32 ›› Issue (6) : 708 -728. DOI: 10.1007/s11518-023-5582-8
Article

Evolutionary Game Analysis of the Production Decisions of Automakers in the Chinese Automobile Industry: A Tripartite Model of Government, Automakers, and Consumers

Author information +
History +
PDF

Abstract

Based on the evolutionary game approach, this paper analyzes how the automaker makes rational production decisions under the influence of the government and consumers. A tripartite evolutionary game model of “government-automaker-consumer” is established to explore the interactions under the condition of bounded rationality. The study shows that: 1) The increase of credit price and credit ratio will promote the diffusion of new energy vehicles (NEVs). 2) The cost premium of NEVs and the shrinking market will slow the spread of NEVs to some extent but will not prevent NEVs from becoming a trend in the automobile industry. However, the cost premium of fuel vehicles (FVs) will accelerate the development of the NEV industry. 3) Government subsidies can promote the development of NEV industry to some extent, but they are not always effective. The government can simultaneously implement subsidies for automakers and consumers in the early stages, and choose to implement the subsidy only for consumers in the medium term. Additionally, there is no need to implement the subsidy policy at a later stage.

Keywords

Dual-credit policy / new energy vehicles / tripartite evolutionary game / government subsidy

Cite this article

Download citation ▾
Jinhuan Tang, Qiong Wu, Yiming Chen, Yuran Jin, Kun Wang. Evolutionary Game Analysis of the Production Decisions of Automakers in the Chinese Automobile Industry: A Tripartite Model of Government, Automakers, and Consumers. Journal of Systems Science and Systems Engineering, 2023, 32(6): 708-728 DOI:10.1007/s11518-023-5582-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Asadi S, Nilashi M, Samad S, Abdullah R, Mahmoud M, Alkinani MH, Yadegaridehkordi E. Factors impacting consumers’ intention toward adoption of electric vehicles in Malaysia. Journal of Cleaner Production, 2021, 282: 124474.

[2]

Carley S, Siddiki S, Nicholson-Crotty S. Evolution of plug-in electric vehicle demand: Assessing consumer perceptions and intent to purchase over time. Transportation Research Part D: Transport and Environment, 2019, 70: 94-111.

[3]

Dong F, Liu Y J. Policy evolution and effect evaluation of new-energy vehicle industry in China. Resources Policy, 2020, 67(C): 101655.

[4]

Habib MA, Kabir KMA, Tanimoto J. Evolutionary game analysis for sustainable environment under two power generation systems. Evergreen, 2022, 9(2): 326-344.

[5]

Harvey L D. Rethinking electric vehicle subsidies, rediscovering energy efficiency. Energy Policy, 2020, 146: 111760.

[6]

Huang TF, Hu CH, He QY, Yang DX, He T, Fu Y. A coordination analysis of stakeholder interests on the new subsidy policy of hydrogen fuel cell vehicles in China: From the perspective of the evolutionary game theory. International Journal of Hydrogen Energy, 2022, 47(58): 24493-24510.

[7]

Ji SF, Zhao D, Luo RJ. Evolutionary game analysis on local governments and manufacturers’ behavioral strategies: Impact of phasing out subsidies for new energy vehicles. Energy, 2019, 189: 116064.

[8]

Jin T, Jiang YL, Liu XW. Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation. Applied Mathematics and Computation, 2023, 440: 127677.

[9]

Khan U, Yamamoto T, Sato H. Consumer preferences for hydrogen fuel cell vehicles in Japan. Transportation Research Part D: Transport and Environment, 2020, 87: 102542.

[10]

Li JZ, Ku Y, Liu CL, Zhou YP. Dual credit policy: Promoting NEV with battery recycling in a competitive environment?. Journal of Cleaner Production, 2019, 243: 118456.

[11]

Li YM, Zhang Q, Liu BY, McLellan BJM, Gao Y, Tang YY. Substitution effect of new-energy vehicle credit program and corporate average fuel consumption regulation for green-car subsidy. Energy, 2018, 152: 223-236.

[12]

Liao D S, Tan B. An evolutionary game analysis of new energy vehicles promotion considering carbon tax in post-subsidy era. Energy, 2023, 264: 126156.

[13]

Liu C, Song Y, Wang W, Shi X. The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles. Applied Energy, 2023, 333: 120498.

[14]

Liu S, Li H, Mei Q. Research on system dynamic of buying work safety services in small and medium-sized enterprises. Journal of Systems Science and Systems Engineering, 2021, 30(3): 339-362.

[15]

Liu Y, Dong F. 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, 2022, 238: 122004.

[16]

Lou GX, Ma HM, Fan TJ, Chan HK. Impact of the dual-credit policy on improvements in fuel economy and the production of internal combustion engine vehicles. Resources Conservation and Recycling, 2020, 156(C): 104712.

[17]

Nie QY, Zhang LH, Tong ZH, Klaus H. Strategies for applying carbon trading to the new energy vehicle market in China: An improved evolutionary game analysis for the bus industry. Energy, 2022, 259: 124904.

[18]

Santos G, Rembalski S. Do electric vehicles need subsidies in the UK?. Energy Policy, 2021, 149: 111890.

[19]

Selten R. A note on evolutionarily stable strategies in asymmetric animal conflicts. Journal of Theoretical Biology, 1980, 84(1): 93-101.

[20]

Sen B, Noori M, Tatari O. Will corporate average fuel economy (CAFE) standard help? Modeling CAFE’s impact on market share of electric vehicles. Energy Policy, 2017, 109: 279-287.

[21]

Shao L, Yang J, Zhang M. Subsidy scheme or price discount scheme? Mass adoption of electric vehicles under different market structures. European Journal of Operational Research, 2017, 262(3): 1181-1195.

[22]

Su DJ, Gu YD, Du QX, Zhou WL, Huang YC. Factors affecting user satisfaction with NEV: A field survey in Shanghai and Nanjing. Journal of Environmental Management, 2020, 270: 110857.

[23]

Tanimoto J. Sociophysics Approach to Epidemics, 2021, Singapore: Springer.

[24]

Wang L, Fu ZL, Guo W, Liang RY, Shao HY. What influences sales market of NEV in China? Empirical study based on survey of consumers’ purchase reasons. Energy Policy, 2020, 142(C): 111484.

[25]

Wang W, Li J. A tripartite evolutionary game model for the hydrogen fuel cell vehicle industry development under government regulation in China. Fuel, 2023, 348: 128223.

[26]

Wang Y, Mao J, Chen F, Wang DL. Uncovering the dynamics and uncertainties of substituting coal power with renewable energy resources. Renewable Energy, 2022, 193: 669-686.

[27]

Yang T, Xing C, Li XY. Evaluation and analysis of new-energy vehicle industry policies in the context of technical innovation in China. Journal of Cleaner Production, 2020, 281: 125126.

[28]

Yu F, Wang LT, Li XT. The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation. Energy Policy, 2020, 141(C): 111463.

[29]

Zhang H, Cai G X. Subsidy strategy on new-energy vehicle based on incomplete information: A case in China. Physica A: Statistical Mechanics and Its Applications, 2020, 541(C): 123370.

[30]

Zhang X, Bai X. Incentive policies from 2006 to 2016 and new energy vehicles adoption in 2010–2020 in China. Renewable and Sustainable Energy Reviews, 2017, 70(4): 24-43.

[31]

Zhao D, Ji SF, Wang HP, Jiang LW. How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model. Energy, 2021, 230: 120899.

[32]

Zhao JH, Zeng DL, Che LP, Zhou TW, Hu JY. Research on the profit change of new energy vehicle closed-loop supply chain members based on government subsidies. Environmental Technology & Innovation, 2020, 19: 100937.

[33]

Zhou X, Zhao R, Cheng L, Min XF. Impact of policy incentives on electric vehicles development: A system dynamics-based evolutionary game theoretical analysis. Clean Technologies and Environmental Policy, 2019, 21(5): 1039-1053.

[34]

Zhou DQ, Yu Y, Wang QW, Zha DL. Effects of a generalized dual-credit system on green technology investments and pricing decisions in a supply chain. Journal of Environmental Management, 2019, 247: 269-280.

AI Summary AI Mindmap
PDF

156

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/