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数智赋能农业产业韧性:理论机制与实证检验

Digital intelligence enables agricultural industry resilience: theoretical mechanism and empirical test

  • 摘要: 提升农业产业韧性是激活农业内生动力、保障国家粮食安全、稳定国民经济运行的重要战略举措。本文基于2011—2021年中国30个省份的面板数据,运用熵值法测度农业产业韧性及数智化水平,结合固定效应、中介效应与空间计量模型,系统探究数智化发展对农业产业韧性的影响及其内在传导机制。研究结果表明:数智化发展显著提升农业产业韧性,结论经稳健性检验后依然成立。机制上,数智化通过“农业产业结构优化”与“城乡融合发展”双路径赋能农业产业韧性建设。区域异质性分析结果显示,数智化对农业产业韧性存在明显的空间分异特征,中东部地区效应更显著,西部地区相对滞后。空间计量分析进一步证实,数智化对农业产业韧性具有正向空间溢出效应,邻近地区数智化水平提升能有效带动本地区农业韧性增强。据此,应着力夯实数智基础设施建设,加速传统农业数智化转型步伐;聚焦传导机制优化,充分释放数智赋能潜力;实施精准差异化政策,强化区域协同发展联动,进而合力提升全国农业产业韧性水平。

     

    Abstract: Enhancing the resilience of the agricultural industry is a crucial strategic measure to activate the endogenous driving force of agriculture, ensure national food security, and stabilize the operation of the national economy. Based on panel data from 30 provinces in China from 2011 to 2021, this paper uses the entropy method to measure the resilience of the agricultural industry and the level of digital intelligence, combined with fixed effects, mediating effects, and spatial econometric models to systematically explore the impact of digital intelligence development on the resilience of the agricultural industry and its internal transmission mechanism. The research results show that digital intelligence development significantly enhances the resilience of the agricultural industry, and the conclusion remains valid after robustness testing. Mechanistically, digital intelligence empowers the construction of agricultural industry resilience through two pathways: "optimization of agricultural industrial structure" and "integration of urban and rural development." Regional heterogeneity reveals that digital intelligence exhibits distinct spatial differentiation in its impact on agricultural industry resilience, with more significant effects in central and eastern regions, while western regions lag behind relatively. Spatial econometric analysis further confirms that digital intelligence has a positive spatial spillover effect on agricultural industry resilience, where improvements in digital intelligence levels in neighboring regions can effectively enhance local resilience. Accordingly, efforts should focus on consolidating the construction of digital intelligence infrastructure and accelerating the digital transformation of traditional agriculture; optimizing transmission mechanisms to fully unleash the potential of digital intelligence empowerment; implementing precise and differentiated policies to strengthen regional coordinated development and collaboration, thereby collectively enhancing the resilience of the national agricultural industry.

     

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