Evolutionary Game Analysis of the Intelligent Upgrade of Rural E-commerce Logistics Under Government Incentive Policies

Baoku Li () and Jiarui Wang ()
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Baoku Li: Liaoning Technical University, College of Business Administration
Jiarui Wang: Liaoning Technical University, College of Business Administration

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 927-941 from Springer

Abstract: Abstract In the context of new quality productive forces, the intelligent upgrade of rural e-commerce logistics is key to advancing rural logistics development. This article utilizes evolutionary game theory to construct an evolutionary game model involving the government, rural e-commerce users, and logistics companies. The model is analyzed through numerical simulations using MATLAB software to explore the impact of different parameter changes on the evolutionary paths of the three parties. Results indicate that the size of government profits, incentive costs, and the strength of rewards and penalties are crucial factors affecting the strategic choices and evolutional stability of all parties involved. The benefits to participating entities are critical in influencing their strategic decisions; proactive encouragement, support, and promotion of artificial intelligence technology by the government, coupled with the establishment of scientifically sound incentive policies, can effectively promote the application of AI technology in logistics and spur the development of rural e-commerce logistics.

Keywords: New quality productive forces; Artificial Intelligence; Rural E-commerce Logistics; Evolutionary Game (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-570-6_93

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