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Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model

Author

Listed:
  • Wanming Chen

    (School of Economics and Management, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)

  • Shengyuan Wang

    (Business School, Nanjing Xiaozhuang University, Nanjing 211171, China)

  • Xiaolan Wu

    (School of Foreign Languages, Nanjing Xiaozhuang University, Nanjing 211171, China)

Abstract

The primary purpose of this paper is to discuss whether NEV enterprises can achieve synchronous effects with the whole Chinese automobile industry in terms of growth mode. In this paper, we study the development of new energy vehicles from the perspective of ecosystem. Growth mechanisms and synchronization effects also exist in new energy enterprise populations, just like biological populations in natural ecosystems. Here, we propose a moving logistic model to analyze the growth mechanism of new energy vehicle enterprises and obtain serial data of intrinsic growth rate, internal inhibition coefficient, and theoretical maximum sales volume. The intrinsic growth rate and theoretical maximum sales volume show an initial trend of decline followed by recovery. The evaluation results of coupling degree and synchronization of the new energy vehicle population were obtained through the measurement of the Kuramoto model and its derivative model. The coupling degree of the new energy vehicle population is not high, and the synchronization effect fluctuates and oscillates. The change trend of synchronization effect is similar to that of intrinsic growth rate and theoretical maximum sales volume. This phenomenon shows that the new energy vehicle population has been significantly affected by changes in the external market environment. The analysis method of enterprise growth mechanism based on the moving logistic model and the measurement method of coupling degree and synchronization effect based on the Kuramoto model and its derivative models proposed in this paper effectively achieve the research objectives of this paper.

Suggested Citation

  • Wanming Chen & Shengyuan Wang & Xiaolan Wu, 2022. "Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16497-:d:998541
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    References listed on IDEAS

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    1. Sheng-Yuan Wang & Wan-Ming Chen & Ying Liu, 2021. "Collaborative Product Portfolio Design Based on the Approach of Multichoice Goal Programming," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, January.
    2. Sheng-Yuan Wang & Wan-Ming Chen & Xiao-Lan Wu & A. E. Matouk, 2021. "Competition Analysis on Industry Populations Based on a Three-Dimensional Lotka–Volterra Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-15, July.
    3. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    4. Qingyou Yan & Meijuan Zhang & Wei Li & Guangyu Qin, 2020. "Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    5. Tan, Ruipeng & Lin, Boqiang, 2020. "Are people willing to support the construction of charging facilities in China?," Energy Policy, Elsevier, vol. 143(C).
    6. Gregory Trencher & Achmed Edianto, 2021. "Drivers and Barriers to the Adoption of Fuel Cell Passenger Vehicles and Buses in Germany," Energies, MDPI, vol. 14(4), pages 1-26, February.
    7. Zulfiqar Ali Lashari & Joonho Ko & Junseok Jang, 2021. "Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    8. Rong, Ke & Hu, Guangyu & Lin, Yong & Shi, Yongjiang & Guo, Liang, 2015. "Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors," International Journal of Production Economics, Elsevier, vol. 159(C), pages 41-55.
    9. Ugo Bastolla & Miguel A. Fortuna & Alberto Pascual-García & Antonio Ferrera & Bartolo Luque & Jordi Bascompte, 2009. "The architecture of mutualistic networks minimizes competition and increases biodiversity," Nature, Nature, vol. 458(7241), pages 1018-1020, April.
    10. Sheng-Yuan Wang & Wan-Ming Chen & Rong Wang & Xiao-Lan Wu & Maria Alessandra Ragusa, 2021. "Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, June.
    11. Géremi Gilson Dranka & Paula Ferreira, 2020. "Electric Vehicles and Biofuels Synergies in the Brazilian Energy System," Energies, MDPI, vol. 13(17), pages 1-22, August.
    12. Rahul Kapoor, 2018. "Ecosystems: broadening the locus of value creation," Journal of Organization Design, Springer;Organizational Design Community, vol. 7(1), pages 1-16, December.
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