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Dynamics and chaos control of a duopolistic Bertrand competitions under environmental taxes

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  • A. A. Elsadany

    (Prince Sattam Bin Abdulaziz University
    Suez Canal University)

  • A. M. Awad

    (Suez Canal University)

Abstract

This paper investigates the difference between price and quantity competition in a mixed duopoly game. We describe the behavior of a duopolistic Bertrand competition market with environmental taxes. There are two cases. In the first, the public firm is privatized and in the second, it is not privatized. In case I, private duopoly (postprivatization) where players use different production methods and choose their prices with (bounded rationality and naive). In case II, mixed duopoly (preprivatization) in this case there are two levels for the market including standard objective of the private firm is to maximize profits and including another objective function of the public firm namely “private welfare maximization”. We study numerically the dynamical behaviors of the models. The Nash equilibrium loses stability through a period-doubling bifurcation and the market in the end gets to be disordered. The disordered behavior of the market has been controlled by using feedback control method.

Suggested Citation

  • A. A. Elsadany & A. M. Awad, 2019. "Dynamics and chaos control of a duopolistic Bertrand competitions under environmental taxes," Annals of Operations Research, Springer, vol. 274(1), pages 211-240, March.
    • Handle: RePEc:spr:annopr:v:274:y:2019:i:1:d:10.1007_s10479-018-2837-8
    DOI: 10.1007/s10479-018-2837-8
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    References listed on IDEAS

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    Cited by:

    1. Li, Wen-na & Elsadany, A.A. & Zhou, Wei & Zhu, Yan-lan, 2021. "Global Analysis, Multi-stability and Synchronization in a Competition Model of Public Enterprises with Consumer Surplus," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    2. Zongxian Wang & Xiao Li & Weihua Liang & Junhai Ma, 2023. "Does a New Electric Vehicle Manufacturer Have the Incentive for Battery Life Investment? A Study Based on the Game Framework," Mathematics, MDPI, vol. 11(16), pages 1-20, August.
    3. Ma, Junhai & Hou, Yaming & Yang, Wenhui & Tian, Yi, 2020. "A time-based pricing game in a competitive vehicle market regarding the intervention of carbon emission reduction," Energy Policy, Elsevier, vol. 142(C).
    4. Hongqiang Fan & Yichen Sun & Lifen Yun & Runfeng Yu, 2023. "A Joint Distribution Pricing Model of Express Enterprises Based on Dynamic Game Theory," Mathematics, MDPI, vol. 11(19), pages 1-17, September.

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