Complex Characteristics and Control of Output Game in Cross-Border Supply Chains: A Perspective of Inter-Chain Competition
Feng-Jie Xie,
Lu-Ying Wen,
Si-Yi Wang () and
Yong-Fei Li
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Feng-Jie Xie: School of Modern Posts, Xi’an University of Posts and Telecommunications, Xi’an 710061, China
Lu-Ying Wen: School of Modern Posts, Xi’an University of Posts and Telecommunications, Xi’an 710061, China
Si-Yi Wang: School of Modern Posts, Xi’an University of Posts and Telecommunications, Xi’an 710061, China
Yong-Fei Li: School of Modern Posts, Xi’an University of Posts and Telecommunications, Xi’an 710061, China
Mathematics, 2024, vol. 12, issue 2, 1-18
Abstract:
In this paper, an output dynamic game model of intertwined supply chains operating in two different countries is established. The Nash equilibrium point of the model and its stable region are obtained using nonlinear dynamic principles. The complex properties of the system, such as stability, period-doubling bifurcations, and chaos, are investigated using numerical simulations. Our results suggest that the level of output and the system’s profits undergo bifurcation and chaos with an increase in the output adjustment speed. An interesting phenomenon occurs in that higher tariffs lead to the expansion of the stable range of the supply chain in the product-exporting country. The chaotic behavior of the system is sensitive to the value of the initial level of output. In supply chain competition, each supply chain firm should make suitable adjustments to the speed of output. To maintain the stability of domestic markets, excessive tariffs should be avoided. It is essential that each supply chain firm evaluates the potential impacts of different initial output values when making initial decisions. Using the method of delayed feedback control, the chaotic behavior of the system can effectively be controlled. These findings offer valuable and novel insight into inter-chain competition in supply chain networks.
Keywords: output game; inter-chain competition; chaos control; dynamic game; complexity analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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