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The Complexion of Multi-period Stackelberg Triopoly Game with Bounded Rationality

机译:具有有限理性的多期Stackelberg三元垄断博弈的肤色

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Stackelberg model is a dynamic model, in which two players with different scales and power players act sequentially. However, there are few literatures that apply complex oligopoly dynamics theory in this model. In this paper, based on a traditional Stackelberg model, we improve the model in Peng and Lu (Appl Math Comput 271:259-268, 2015) and construct a multi-period Stackelberg triopoly game model. One leader firm and two followers with bounded rationality behavior are considered. The leader's decision-making variable, which is simplified as a constant in Peng and Lu's paper, is observed by the followers in stage 1 in every period in this model. We arrive at the conclusion that the leader would have the first-move advantage even when the players adopt a gradient output adjustment process in a multi-period Stackelberg triopoly game model. The speeds of output adjustment form a three-dimensional stability region. In the equilibrium state, the outputs of the followers are one-third of the leader's. With adjustment speed of the leader increasing, Stackelberg equilibrium would be broken at a certain point. The effect of adjustment speed on speed of convergence to equilibrium is also analyzed. Theoretical result and numerical simulation both demonstrate that the speed converging to equilibrium is slowing when the Lyapunov exponent increases. Strange attractor and the sensitivity on initial values are presented by numerical simulation, while feedback control method is used to eliminate chaos. Moreover, in the stage of periodic bifurcation outside the stability region, the increase of the adjustment speed of the leader could be incentive for choosing chaos. While in the chaos stage, the average profits of three firms are uncertain, which shows that the relative benefit is closely related to adjustment speed of bounded rationality.
机译:Stackelberg模型是一种动态模型,其中两个具有不同规模和力量的参与者依次行动。但是,很少有文献在这种模型中应用复杂的寡头动力学理论。本文基于传统的Stackelberg模型,对Peng和Lu(Appl Math Comput 271:259-268,2015)中的模型进行了改进,并构建了多期Stackelberg三元垄断博弈模型。考虑具有有限理性行为的一个领导者公司和两个跟随者。领导者的决策变量(在Peng和Lu的论文中简化为常数)在此模型的每个阶段中,在阶段1的跟随者都可以观察到。我们得出的结论是,即使玩家在多时期Stackelberg三重垄断博弈模型中采用梯度输出调整过程,领导者也将具有先发优势。输出调整的速度形成三维稳定区域。在平衡状态下,追随者的产出是领导者的三分之一。随着领导者的调整速度的增加,斯塔克尔伯格平衡将在某个点被打破。还分析了调整速度对收敛到平衡速度的影响。理论结果和数值模拟均表明,当Lyapunov指数增加时,收敛到平衡的速度变慢。通过数值模拟给出了奇异的吸引子和对初始值的敏感性,同时采用反馈控制方法消除了混沌。此外,在稳定区域之外的周期性分叉阶段,领导者的调整速度的提高可能是选择混乱的诱因。在混沌阶段,三家公司的平均利润是不确定的,这表明相对利益与有限理性的调整速度密切相关。

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