湖北农业科学 ›› 2026, Vol. 65 ›› Issue (6): 246-252.doi: 10.14088/j.cnki.issn0439-8114.2026.06.037

• 经济·管理 • 上一篇    下一篇

数字技术赋能粮食作物大面积单产提升的路径与效应研究——基于山东省的实地调研

吕传海1, 鹿子涵2   

  1. 1.山东省商河县农业农村局,山东 商河 251600;
    2.农业农村部全国农业技术推广服务中心,北京 100125
  • 收稿日期:2026-02-10 出版日期:2026-06-25 发布日期:2026-06-26
  • 通讯作者: 鹿子涵(2001-),女,山东济南人,助理农艺师,硕士,主要从事农业技术推广研究,(电话)17866603206(电子信箱)2046572253@qq.com。
  • 作者简介:吕传海(1970-),男,山东济南人,高级农艺师,主要从事农作物、果树栽培研究,(电话)13705415790(电子信箱)M13705415790@163.com。
  • 基金资助:
    山东省农业技术推广成果优选计划项目(SDYXDX2023-02-07-11)

Study on the paths and effects of digital technology empowering large-area yield improvement of grain crops: Evidence from a field survey in Shandong Province

LYU Chuan-hai1, LU Zi-han2   

  1. 1. Agricultural and Rural Affairs Bureau of Shanghe County, Shandong Province, Shanghe 251600, Shandong,China;
    2. National Agricultural Technology Extension and Service Center, Ministry of Agriculture and Rural Affairs, Beijing 100125, China
  • Received:2026-02-10 Published:2026-06-25 Online:2026-06-26

摘要: 探究数字技术对粮食作物大面积单产提升的作用路径与量化效应,为加快推进农业新质生产力发展、落实“新一轮千亿斤粮食产能提升行动”提供政策参考。基于山东省12个县(市、区)300户粮食作物种植农户的实地调研数据,构建数字技术应用指数,运用多元回归分析与中介效应模型,实证检验数字技术对粮食作物大面积单产提升的作用路径与效应。结果表明,数字技术应用指数每提高1个单位,粮食单产提升率平均增加0.152个百分点(P<0.01);精准化作业、智能化决策、规模化服务均为数字技术赋能单产提升的显著中介变量;数字技术在大规模种植户中效果更为显著,存在规模经济与技术应用的协同效应;成本投入、基础设施和技术培训不足是当前制约数字技术推广的主要因素。建议从财政补贴、基础设施建设、技术培训、产学研结合和区域协同等方面系统推进数字农业的普及与应用,为把农业建成现代化大产业提供科技支撑。

关键词: 数字技术, 粮食生产, 大面积单产, 多元回归, 中介效应, 山东省

Abstract: The pathways and quantitative effects of digital technology on large-area yield improvement of grain crops were explored to provide policy references for accelerating the development of new-quality agricultural productivity and implementing the "New Round of 100 Billion Jin Grain Production Capacity Enhancement Initiative". Based on field survey data from 300 grain crop farming households across 12 counties (cities, districts) in Shandong Province, a digital technology application index was constructed. Multiple regression analysis and the mediating effect model were employed to empirically test the pathways and effects of digital technology on large-area yield improvement of grain crops. The results showed that for every one-unit increase in the digital technology application index, the average yield increment rate of grain production increased by 0.152 percentage points (P<0.01). Precision operation, intelligent decision-making and large-area service were all significant mediating variables for digital technology to empower yield improvement. The effect of digital technology was more pronounced among large-area farmers, revealing a synergistic effect between economies of scale and technology application. High costs, inadequate infrastructure, and insufficient technical training were the main factors currently constraining the promotion of digital technologies. It was recommended to systematically advance the adoption and application of digital agriculture through fiscal subsidies, infrastructure development, technical training, industry-academia-research integration, and regional coordination, thereby providing scientific and technological support for building agriculture into a modernized major industry.

Key words: digital technology, grain production, large-area yield, multiple regression, mediating effect, Shandong Province

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