基于2014—2018年三期中国家庭追踪调查（CFPS）数据，采用面板Tobit模型从微观层面分析农户的互联网使用对农业生产性服务采纳水平的影响，结果表明：互联网使用会显著提升农户的农业生产性服务采纳水平，但对农业机械化服务采纳的影响远低于对农业雇工服务采纳。运用条件混合估计模型结合工具变量法解决内生性问题后，仍然得到了一致的结论，说明现代信息技术与农业机械化服务的融合发展还亟须加强。互联网使用对女性、年龄较小、文化程度较高、经营规模较大和非平原地区农户农业生产性服务采纳的促进作用更大，对于解决非平原地区传统农业劳动力短缺问题的贡献突出。互联网使用能够通过拓宽信息渠道和扩大非农就业两条路径影响农户农业生产性服务采纳，并且对农业雇工服务采纳的影响效应都明显大于农业机械化服务采纳。

Based on the data from the third phase of the China Family Tracking Survey (CFPS) from 2014 to 2018, by adopting a panel Tobit model, the impact of internet use on farmers’ adoption level of agricultural productive services has been analyzed from a micro level. The study shows that internet use will significantly improve the farmers’ adoption level of agricultural productive services, but the impact on the services of agricultural mechanization is much lower than that of the services of agricultural hired labor. The Conditional Mixed Estimation Model has been combined with an instrumental variable method to solve the endogenous problems. The consistent conclusion is that the integrated development of modern information technology and agricultural mechanization services needs to be promoted. Internet use has a greater impact on boosting agricultural productive services of female farmers, younger farmers, higher educated farmers, larger-scale farming and non-plain-area farmers, contributes greatly to solving the problem of rural labor shortage in non-plain areas, and affects agricultural productive services through broadening information channels and expanding non-agricultural employment.