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System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market

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  • Hongxia Sun

    (Business School, Beijing Technology and Business University, Beijing 100048, China)

  • Yao Wan

    (Business School, Beijing Technology and Business University, Beijing 100048, China)

  • Huirong Lv

    (Business School, Beijing Technology and Business University, Beijing 100048, China)

Abstract

Exhaust pollution and energy crises are worsening worldwide. China has become the largest motor vehicle producer; thus, promoting the use of new energy vehicles (NEVs) in China has important practical significance. In this paper, considering the limited rationality of governments, NEV enterprises and consumers, we study the subsidy policy of the China NEV market using the evolutionary game and system dynamics (SD) methods. First, a tripartite evolutionary game model is developed and the replicator dynamics equations and Jacobian matrix are obtained. A SD simulation of the model was conducted to further clarify the impact of the initial market proportion and three variables used in the model. The results show that the initial market proportion affects the evolution speed but does not affect the evolution result when the three group players all choose a mixed strategy. For governments, they should not hastily cancel price subsidies provided to consumers; rather, they should dynamically adjust the rate of the subsidy decrease and increase the consumers’ extra cost for purchasing fuel vehicles (FVs). NEV enterprises should appropriately increase their investments in the research and development (R&D) of NEVs.

Suggested Citation

  • Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1578-:d:322826
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    as
    1. Trappey, Amy J.C. & Trappey, Charles & Hsiao, C.T. & Ou, Jerry J.R. & Li, S.J. & Chen, Kevin W.P., 2012. "An evaluation model for low carbon island policy: The case of Taiwan's green transportation policy," Energy Policy, Elsevier, vol. 45(C), pages 510-515.
    2. Shanyong Wang & Jin Fan & Dingtao Zhao & Yanrui Wu, 2015. "The Impact of Government Subsidies or Penalties for New-energy Vehicles A Static and Evolutionary Game Model Analysis," Journal of Transport Economics and Policy, University of Bath, vol. 49(1), pages 98-114, January.
    3. Luo, Chunlin & Leng, Mingming & Huang, Jian & Liang, Liping, 2014. "Supply chain analysis under a price-discount incentive scheme for electric vehicles," European Journal of Operational Research, Elsevier, vol. 235(1), pages 329-333.
    4. Lu, Chao & Liu, Hu-Chen & Tao, Jie & Rong, Ke & Hsieh, Ying-Che, 2017. "A key stakeholder-based financial subsidy stimulation for Chinese EV industrialization: A system dynamics simulation," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 1-14.
    5. 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.
    6. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    7. Lee, Yongseung & Kim, Chongman & Shin, Juneseuk, 2016. "A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach," Applied Energy, Elsevier, vol. 184(C), pages 438-449.
    8. Cailou Jiang & Ying Zhang & Maoliang Bu & Weishu Liu, 2018. "The Effectiveness of Government Subsidies on Manufacturing Innovation: Evidence from the New Energy Vehicle Industry in China," Sustainability, MDPI, vol. 10(6), pages 1-11, May.
    9. Fansheng Meng & Xiaoye Jin, 2019. "Evaluation of the Development Capability of the New Energy Vehicle Industry: An Empirical Study from China," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    10. Driscoll, Áine & Lyons, Seán & Mariuzzo, Franco & Tol, Richard S.J., 2013. "Simulating demand for electric vehicles using revealed preference data," Energy Policy, Elsevier, vol. 62(C), pages 686-696.
    11. Xingping Zhang & Rao Rao & Jian Xie & Yanni Liang, 2014. "The Current Dilemma and Future Path of China’s Electric Vehicles," Sustainability, MDPI, vol. 6(3), pages 1-27, March.
    12. Zhang, Xingping & Liang, Yanni & Liu, Wenfeng, 2017. "Pricing model for the charging of electric vehicles based on system dynamics in Beijing," Energy, Elsevier, vol. 119(C), pages 218-234.
    13. Ziying Yang & Manping Tang, 2019. "Welfare Analysis of Government Subsidy Programs for Fuel-Efficient Vehicles and New Energy Vehicles in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 911-937, October.
    14. Wu, Tian & Ma, Lin & Mao, Zhonggen & Ou, Xunmin, 2015. "Setting up charging electric stations within residential communities in current China: Gaming of government agencies and property management companies," Energy Policy, Elsevier, vol. 77(C), pages 216-226.
    15. Tuochen Li & Dongri Han & Shaosong Feng & Lei Liang, 2019. "Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?," Sustainability, MDPI, vol. 11(15), pages 1-15, July.
    16. Sun, Xiaohua & Liu, Xiaoling & Wang, Yun & Yuan, Fang, 2019. "The effects of public subsidies on emerging industry: An agent-based model of the electric vehicle industry," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 281-295.
    17. Hirte, Georg & Tscharaktschiew, Stefan, 2013. "The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis," Energy Economics, Elsevier, vol. 40(C), pages 515-528.
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