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Study on Joint Distribution Mode and Evolutionary Game of Express Enterprises in Rural Areas

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  • Hongxiang Zhao

    (College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Meiyan Li

    (College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

Express delivery in rural areas of China has many problems, such as high delivery cost and low efficiency. As an effective way to solve the difficulties of rural delivery, it is important to study the innovation and application of a joint distribution model. In the background, this paper takes express delivery enterprises in rural areas as the research object. First, it proposes to construct a three-level “county-town-village” joint distribution system in which e-commerce platforms participate. Next, it establishes an evolutionary game model of express delivery enterprise joint distribution alliance and solves it. Finally, the model is analyzed through numerical simulation. The results show that the distribution system of express delivery enterprises in rural areas is affected by excess returns, early input costs, operating costs, cooperation risks, penalty costs, learning and absorption capacity of enterprises and other factors. After introducing the rewards and punishments of e-commerce platforms as an independent influencing factor in the evolutionary game model, the shorter time for express companies to finally make cooperation strategies indicates that the rewards and punishments of e-commerce platforms have a positive significance in promoting the rapid development and stable operation of a rural logistics joint distribution system.

Suggested Citation

  • Hongxiang Zhao & Meiyan Li, 2023. "Study on Joint Distribution Mode and Evolutionary Game of Express Enterprises in Rural Areas," Sustainability, MDPI, vol. 15(2), pages 1-30, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1520-:d:1034108
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    References listed on IDEAS

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    1. Syed Asif Raza, 2020. "Price Differentiation and Inventory Decisions in a Socially Responsible Dual-Channel Supply Chain with Partial Information Stochastic Demand and Cannibalization," Sustainability, MDPI, vol. 12(22), pages 1-42, November.
    2. Christoph Hauert & Michael Doebeli, 2004. "Spatial structure often inhibits the evolution of cooperation in the snowdrift game," Nature, Nature, vol. 428(6983), pages 643-646, April.
    3. Guihua Wang & Quan Guo & Qiong Jiang & Butong Li, 2022. "A Study on the Relationship between Corporate Social Responsibility and Supply Chain Profit Distribution in the Context of Common Prosperity," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    4. Na Zhang & Xiangxiang Zhang & Yingjie Yang, 2019. "The Behavior Mechanism of the Urban Joint Distribution Alliance under Government Supervision from the Perspective of Sustainable Development," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
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    Cited by:

    1. Hongni Zhang & Xiangyi Xu, 2023. "Innovative Technology Method Based on Evolutionary Game Model of Enterprise Sustainable Development and CNN–GRU," Sustainability, MDPI, vol. 15(5), pages 1-17, February.

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