陈卫洪, 刘纯, 马志懿. 数字能力对农户农药施用强度影响的研究−基于CRRS微观调查数据分析[J]. 中国生态农业学报 (中英文), 2025, 33(1): 1−14. DOI: 10.12357/cjea.20240407
引用本文: 陈卫洪, 刘纯, 马志懿. 数字能力对农户农药施用强度影响的研究−基于CRRS微观调查数据分析[J]. 中国生态农业学报 (中英文), 2025, 33(1): 1−14. DOI: 10.12357/cjea.20240407
CHEN W H, LIU C, MA Z Y. Impact of digital capabilities on farmers’ pesticide application intensity−Analysis based on CRRS microscopic survey data[J]. Chinese Journal of Eco-Agriculture, 2025, 33(1): 1−14. DOI: 10.12357/cjea.20240407
Citation: CHEN W H, LIU C, MA Z Y. Impact of digital capabilities on farmers’ pesticide application intensity−Analysis based on CRRS microscopic survey data[J]. Chinese Journal of Eco-Agriculture, 2025, 33(1): 1−14. DOI: 10.12357/cjea.20240407

数字能力对农户农药施用强度影响的研究基于CRRS微观调查数据分析

Impact of digital capabilities on farmers’ pesticide application intensityAnalysis based on CRRS microscopic survey data

  • 摘要: 数字能力是农户获取并使用信息资源的重要技能, 对促进农药减量增效与加快农业发展方式绿色转型有着重要作用。本文基于2020年中国乡村振兴综合调查(CRRS)数据, 从数字接入条件、数字资源需求和数字应用能力3个维度构建数字能力指标体系, 实证检验农户数字能力对农药施用强度的作用机制。研究结果表明: 第一, 农户数字能力提升显著降低农药施用强度, 该结论在经过一系列稳健性检验后仍成立。第二, 数字接入条件、数字资源需求和数字应用能力3个维度的数字能力均能显著降低农户农药施用强度, 并且综合测度数字能力的影响作用远大于单一维度。第三, 机制分析结果表明, 数字能力能够通过农药机械作业、组织能力优化和生态素养提升3个机制显著降低农户农药施用强度。第四, 异质性分析结果表明, 农户数字能力提升对高龄组、小规模种植组与一般村庄的农户农药施用强度影响效应更大。为此, 应加快推进数字乡村建设, 健全数字基础设施全覆盖及信息服务体系, 构建农户数字能力提升培育体系, 强化数字农业技术推广服务体系, 助推农业发展方式绿色转型。

     

    Abstract: In the context of the digital economy, digital capability represents an important skill for farmers to acquire and utilize information resources. This capability plays a crucial role in promoting pesticide reduction and efficiency improvement, as well as accelerating the green transformation of agricultural development. Therefore, this article constructs a theoretical analysis framework to examine the impact of farmers’ digital capabilities on pesticide application intensity. It discusses three theoretical mechanisms: pesticide machinery operation, organizational capacity optimization, and ecological literacy improvement. Furthermore, it reveals the pathways through which farmers’ digital capabilities affect pesticide application intensity, thereby offering crucial insights and serving as an important reference for enhancing the level of green agricultural development and achieving high-quality agricultural development. Based on the 2020 China Rural Revitalization Comprehensive Survey (CRRS) Database, this article constructs a digital capability index system specifically for farmers. It utilizes methods such as multiple linear regression models and mechanism testing models to deeply explore the impact of farmers’ digital capabilities on pesticide application intensity. The innovation of this paper lies in the use of the factor analysis method to construct the digital capability indicator system of farmers from three dimensions: digital access conditions, digital resource demand, and digital application capability. A total of 13 secondary indicators are selected to characterize farmers’ digital capabilities, which can effectively address the limitations of existing research that relies solely on single indicators, such as internet or smartphone access, as proxy variables for digital capabilities. Furthermore, this approach provides a reference indicator construction paradigm for subsequent research. The research results indicate that: firstly, the improvement of digital ability can significantly reduce the intensity of pesticide application by farmers, and this conclusion still holds true after considering endogeneity issues and conducting a series of robustness tests. Secondly, the three dimensions of digital access conditions, digital resource demand, and digital application capability can significantly reduce the intensity of pesticide application by farmers. Specifically, the impact of digital resource demand is higher than that of digital access conditions and digital application capability, and the comprehensive measurement of the impact of digital capability is much greater than that of a single dimension. Thirdly, the mechanism analysis results indicate that digital capabilities significantly reduce farmers’ pesticide application intensity through three pathways: pesticide machinery operation, organizational capability optimization, and ecological literacy improvement. Fourthly, the heterogeneity analysis results indicate that the improvement of farmers’ digital capabilities has a more significant impact on the reduction of pesticide application intensity among elderly farmers, small-scale planting farmers and farmers in ordinary villages. Based on the above research conclusions, this article proposes the following policy recommendations. Firstly, accelerate the construction of digital rural areas and ensure the full coverage of digital infrastructure and information service systems. Secondly, we should establish a cultivation system for enhancing the digital capabilities of farmers. Additionally, to improve farmers’ digital capabilities, we should attach importance to online courses, tutorials, and workshops, make full use of live streaming, video, and other forms of media, and strengthen the demonstration, promotion, and training education of agricultural digitization. Thirdly, strengthen the service system for promoting digital agricultural technology. Adopt a combination of formal and informal promotion methods, fully utilize digital media technology, and use visual methods such as images, audio, and video to popularize modern digital agricultural technology.

     

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