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2025 , Vol. 40 >Issue 7: 1951 - 1968

DOI: https://doi.org/10.31497/zrzyxb.20250713

其他研究论文

数字技能对农户粮食生产主动适应性行为选择的影响

  • 刘新仪 ,
  • 赵凯 ,
  • 陈道雄
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  • 西北农林科技大学经济管理学院，杨凌 712100
赵凯（1971- ），男，宁夏固原人，博士，教授，博士生导师，研究方向为农业经济管理和土地经济。E-mail:

刘新仪（1997- ），女，山东诸城人，博士研究生，研究方向为农业经济管理。E-mail:

收稿日期: 2024-08-29

  修回日期: 2024-11-05

  网络出版日期: 2025-06-20

基金资助

中华人民共和国农业农村部课题(10200071)

陕西省2022年创新能力支撑计划项目(2022KRW20)

西北农林科技大学校级战略研究项目(2452024123)

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The effect of digital skills on farmers' choices of proactive adaptive behaviors in grain production

  • LIU Xin-yi ,
  • ZHAO Kai ,
  • CHEN Dao-xiong
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  • College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China

Received date: 2024-08-29

  Revised date: 2024-11-05

  Online published: 2025-06-20

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摘要

研究数字技能对农户粮食生产主动适应性行为选择的影响对于保障国家粮食安全具有重要价值。利用黄河流域中上游地区调研数据，实证探究数字技能对农户粮食生产适应性行为选择的影响及作用机制。结果表明：（1）数字技能推动农户采取粮食生产主动适应性行为；（2）数字技能通过提高农户产业链参与水平和知识网络水平进而促进农户粮食生产主动适应性行为；（3）数字技能对规模农户、高文化水平农户和高收入农户粮食生产主动适应性行为的促进作用更大。数字技能对非粮食主产区农户、已建设高标准农田农户、村庄高集体经济收入农户粮食生产主动适应性行为的促进作用更大。提出综合运用多种平台资源和工具，全面提升农户数字技能等建议。

关键词： 农户粮食生产适应性行为; 数字技能; 社会—生态系统框架; 神经网络

本文引用格式

刘新仪 , 赵凯 , 陈道雄 . 数字技能对农户粮食生产主动适应性行为选择的影响[J]. 自然资源学报, 2025 , 40(7) : 1951 -1968 . DOI: 10.31497/zrzyxb.20250713

Abstract

The study of the impact of digital skills on the proactive adaptive behavior of farmers in grain production is of significance for ensuring national food security. This study utilizes survey data from the middle and upper reaches of the Yellow River Basin to empirically examine the impact of digital skills on farmers' adaptive behaviors in grain production and elucidate the underlying mechanisms. The analysis reveals three key findings: (1) Digital skills significantly encourage farmers to engage in proactive adaptive behaviors in grain production. (2) Digital skills enhance these behaviors by improving farmers' integration into industry chains and expanding their knowledge networks. (3) The influence of digital skills is more pronounced among large-scale farmers, those with higher levels of education and income, and those in non-grain production areas or villages with high collective economic income. Additionally, farmers who have developed high-standard farmland show a greater propensity to benefit from digital skills. Based on these findings, the paper proposes policy interventions to leverage platform resources and digital tools to further enhance farmers' digital competencies, thereby supporting sustainable agricultural practices and food security.

Key words： farmer's adaptive behavior in grain production; digital skills; socio-ecological framework; neural network

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