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国家农业高新技术产业示范区对数字农业创新的影响

The impact of national agricultural high-tech industry demonstration zones on digital agriculture innovation

  • 摘要: 数字农业创新既是发展农业新质生产力的核心引擎,也是推进农业强国建设的重要支撑。本文基于2017—2023年城市面板数据与incoPat全球专利数据库,以国家农业高新技术产业示范区设立为准自然实验,采用多期双重差分模型,系统评估其对数字农业创新的影响及作用机制。研究结果表明:1)农高区设立显著提升了区域数字农业创新水平,并对农、林、牧、渔相关领域具有一定扩散效应,在排除同期政策冲击与疫情影响后结论依然稳健。2)农高区政策通过资源补偿与场景赋能两条路径协同促进数字农业创新。3)其政策效应在非东部地区、非平原地区、水资源相对充足地区以及农业机械化基础较好、数字产业集聚程度较高的城市更为显著。基于此,应结合区域资源禀赋与产业基础差异,分类推进数字农业发展路径,强化资源补偿与场景赋能的协同机制,完善农业数据要素的积累与转化体系,为农业新质生产力持续提升提供制度支撑。

     

    Abstract: Digital agriculture innovation serves as both the core engine for developing new quality productive forces in agriculture and a crucial support for accelerating the construction of an agricultural powerhouse. Based on city-level panel data from 2017 to 2023 and the incoPat global patent database, this paper takes the establishment of national agricultural high-tech industry demonstration zones as a quasi-natural experiment and employs a staggered difference-in-differences model to systematically analyze the impact and mechanisms of the policy on digital agriculture innovation. The findings are as follows. First, the construction of agricultural high-tech industry demonstration zones significantly enhances regional digital agriculture innovation, with certain diffusion effects in agriculture-, forestry-, animal husbandry-, and fishery-related fields; this conclusion holds after excluding concurrent policy interference and pandemic effects. Second, the policy promotes digital agriculture innovation through two synergistic pathways: resource compensation, which alleviates financing constraints and attracts talent, and scenario empowerment, which transforms resource inputs into innovation outcomes through application scenarios. Third, the innovation effect is more pronounced in non-eastern regions, non-plain regions, water-abundant regions, and cities with higher agricultural mechanization and greater digital industry agglomeration. Accordingly, differentiated digital transformation pathways should be adopted based on regional resource endowments and industrial conditions, the coordination between resource compensation and scenario empowerment should be strengthened, and mechanisms for accumulating and converting agricultural data into a production factor should be improved to provide institutional support for the sustained development of new quality productive forces in agriculture.

     

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