曲靖师范学院学报 ›› 2025, Vol. 44 ›› Issue (6): 86-96.

• 区域经济·数字经济研究 • 上一篇    下一篇

数据要素赋能农业现代化:理论机理、云南实践与发展路径

李剑   

  1. 曲靖师范学院 数学与经济学学院,云南 曲靖 655011
  • 收稿日期:2025-10-16 发布日期:2025-12-30
  • 作者简介:李 剑,曲靖师范学院数学与经济学学院副教授,博士,主要从事数字经济、区域经济研究。
  • 基金资助:
    曲靖市社科联·曲靖师范学院哲学社会科学联合专项项目“数据要素驱动曲靖加快农业现代化的内在机理与实践路径研究”(ZSLH2023YB18)。

Data Elements Empowering Agricultural Modernization: Theoretical Mechanisms, Yunnan Practices and Development Pathways

LI Jian   

  1. School of Mathematics and Economics,Qujing Normal University,Qujing Yunnan 655011, China
  • Received:2025-10-16 Online:2025-12-30

摘要: 作为数字经济时代的核心生产要素,数据要素具有显著的经济特性,对于优化要素分配方式并促进经济转型发展具有正向效应。依托数据要素,发展数字农业是农业现代化的必由之路。云南省立足省情、农情,加快转变农业发展方式,农业现代化成效显著,走出了具有云南实践特色的农业现代化之路。但是,云南省在农业现代化中存在全要素生产率低、数字化不高、组织创新服务能力低、全产业链低端等短板问题。因此,要充分发挥数据要素特性,加快培育数据要素市场,通过农业数字化转型驱动云南加快农业现代化。发挥数据要素渗透效应、智能效应、创新效应、融合效应等,在生产体系、经营体系和产业体系三个层面加速云南农业现代化。

关键词: 数据要素, 农业, 现代化, 数字经济, 云南

Abstract: As the core production factor in the digital economy era, data possesses significant economic characteristics and exerts a positive effect on optimizing factor allocation and promoting economic transformation and development. Relying on data, the development of digital agriculture is the essential path to agricultural modernization. Based on the provincial and agricultural conditions, Yunnan has accelerated the transformation of agricultural development mode, achieved remarkable results in agricultural modernization, and embarked on a path of agricultural modernization with Yunnan's practical characteristics. However, Yunnan faces shortcomings in agricultural modernization, such as low total factor productivity, low digitalization, low organizational innovation and service capabilities, and low-end whole industry chain. Therefore, it is necessary to fully leverage the characteristics of data, accelerate the cultivation of the data market, and drive Yunnan's agricultural modernization through agricultural digital transformation. Yunnan's agricultural modernization at the production, management, and industry system levels can be accelerated by harnessing the penetration, intelligence, innovation, and integration effects of data.

Key words: data elements, agriculture, modernization, digital economy, Yunnan

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