主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2026, Vol. 34 ›› Issue (7): 323-335.doi: 10.16381/j.cnki.issn1003-207x.2023.2086

Previous Articles    

Research on Pricing Strategy of Agricultural Service Platform Considering FarmersMental Cost and Cooperative Loss

Xinxin Liu1, Zilai Sun1, Jiliang Han1, Xiangpei Hu2, Junhu Ruan1()   

  1. 1.College of Economics and Management,Northwest A&F University,Yangling 712100,China
    2.School of Economics and Management,Dalian University of Technology,Dalian 116024,China
  • Received:2023-12-13 Revised:2024-07-10 Online:2026-07-25 Published:2026-06-18
  • Contact: Junhu Ruan E-mail:rjh@nwsuaf.edu.cn

Abstract:

Agricultural service platforms (ASPs) are network systems that connect farmers with agricultural service providers, facilitating the supply-demand matching of dispersed agricultural resources. ASPs offer a novel model for agricultural service matching and transactions. Although scholars have extensively studied the pricing strategies of platform enterprises, the focus has primarily been on sectors such as food delivery, e-commerce, and short videos. The development of pricing strategies to promote ASPs has not yet received adequate scholarly attention. Unlike the pricing strategies of general platforms, ASPs have distinctive characteristics. General platforms typically set usage or intermediary fees without having the authority to price goods or services. In contrast, ASPs determine the fees charged to farmers for machinery services and the payments made to service providers, as exemplified by the "Farm Steward" model. Establishing initial pricing strategies and sustainable pricing strategies is a critical issue for the development of ASPs. When farmers need agricultural services (such as spraying, irrigation, harvesting, etc.), they can purchase these services through ASPs or seek services via rural social networks. However, farmers may incur psychological costs when using ASPs, which vary due to differences in digital literacy among farmers. To characterize this heterogeneity, it is assumed that the mental cost θ follows a uniform distribution over [-θ˙,θ¯]. Cooperatives accepting online orders may experience a decrease in response speed to their internal members, causing internal losses. Due to significant differences in operational area and the number of agricultural machines among cooperatives, the losses incurred by providing online services are also heterogeneous, assumed to follow a uniform distribution overγ1-γ2,γ1+γ2. Considering the heterogeneity of bilateral users, a selection model for farmers and cooperatives is established. Next, pricing models are developed for ASPs in the startup and growth phases, aiming to maximize social welfare and platform profit, respectively. Finally, the profit, pricing, and user demand under different objectives are compared to determine the applicable conditions for both pricing strategies. The results indicate that the pricing strategy of ASPs is predominantly influenced by the trust level of farmers towards the platform. For regions where farmer trust is low, ASPs should adopt a pricing strategy that aims to maximize social welfare. Conversely, in regions where farmer trust is high, ASPs should implement a pricing strategy focused on maximizing their own profits. Under the concessional strategy, service prices are lower, and service remuneration is higher compared to the profit-driven strategy. When farmers have low aversion to the platform, the concessional pricing strategy is more attractive to both users. However, when farmer aversion is high, the profit-driven pricing strategy is more appealing to both users.

Key words: agricultural service platform, operation management, heterogeneous users, pricing strategy, equilibrium analysis

CLC Number: