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中国农学通报 ›› 2025, Vol. 41 ›› Issue (17): 152-164.doi: 10.11924/j.issn.1000-6850.casb2025-0337

• 三农研究 • 上一篇    

农户生产性服务采纳行为的影响研究——基于山东省小麦种植户调研

刘彪(), 王玉斌()   

  1. 中国农业大学经济管理学院,北京 100083
  • 收稿日期:2025-04-24 修回日期:2025-05-26 出版日期:2025-06-15 发布日期:2025-06-15
  • 通讯作者:
    王玉斌,男,1974年出生,山东潍坊人,教授,博士,研究方向为农业经济理论与政策。通信地址:100083 北京市海淀区清华东路17号 中国农业大学东校区,E-mail:
  • 作者简介:

    刘彪,男,1999年出生,江西南昌人,硕士,研究方向:农业经济理论与政策。通信地址:100083 北京市海淀区清华东路17号 中国农业大学东校区,E-mail:

  • 基金资助:
    2023年中国科普研究所课题“科普助力乡村产业振兴案例研究”(230108ELR020)

A Study on Impact of Farmers’ Adoption of Productive Services: Based on Survey of Wheat Growers in Shandong Province

LIU Biao(), WANG Yubin()   

  1. College of Economics and Management, China Agricultural University, Beijing 100083
  • Received:2025-04-24 Revised:2025-05-26 Published:2025-06-15 Online:2025-06-15

摘要:

农业生产性服务有助于小农户获得规模经济,是推动小农户对接现代农业的重要抓手。基于247份2023年山东省小麦种植户调研数据,首先采用Logit模型分析农户采纳生产性服务的影响因素,再用ISM模型将影响因素分层讨论,刻画交易成本在农户服务外包行为决策机制。实证结果表明:服务认知、组织便宜、自有农具、小麦产量、农技培训、社会网络、受灾次数、加入合作社和关注粮价能影响农户生产性服务外包行为,按决策驱动因素又可划分为“外力驱动型”和“内力驱动型”两条路径。提出构建梯度化服务主体网络与精准服务机制、完善数字赋能与制度协同的双轮驱动体系和实施生产要素系统化改造工程3条建议,以期农业生产性服务能够更好地帮助小农户融入农业现代化进程。

关键词: 交易成本, 农业生产性服务, 采纳行为, Logit模型, ISM模型

Abstract:

Agricultural productive services as a crucial lever for integrating small farmers into modern agriculture, facilitate small farmers in achieving economies of scale. Drawing upon survey data from 247 wheat farmers in Shandong Province in 2023, this paper initially employed the Logit model to analyze the influencing factors of the adoption of productive services. Subsequently, it utilized the ISM model to stratify these factors for discussion, thereby delineating the decision-making pathway of outsourcing agricultural productive services from the transaction cost perspective. The empirical results showed that service cognition, organizational convenience, own agricultural tools, wheat yield, agricultural technology training, social network, number of disasters, joining cooperatives and paying attention to grain prices significantly influenced farmers’ outsourcing behavior. The decision-making drivers could be categorized into two distinct pathways: ‘externally-driven’ and ‘internally-driven’ mechanisms. In light of these findings, the study proposed three strategic recommendations: establishing a hierarchical service provider network with precision service mechanisms, enhancing the dual-drive system integrating digital empowerment and institutional coordination, and implementing systematic transformation of production factors.

Key words: transaction costs, agricultural productive services, adoption behavior, Logit model, ISM model