Evidence Based on Digital Agriculture in China (Land 2026, 15(9), 1531) — 基于700个中国县的双重机器学习证据
基于700个中国县的数字农业实证研究,数据规模大,方法新颖,但发表于8月22日,时效性较低。
Benjian Wu, Xing Huang, Bo Zhou, Jianmin Li, Lifang Hu (中国农业科学院/中国农业大学/南京大学等) 共同发表论文。基于2010—2024年中国700个县的县级面板数据,将"数字农业创新与应用基地"试点视为准自然实验,采用双重机器学习模型考察智慧农业建设对城乡土地利用效率差距的影响。研究发现:(1)智慧农业建设显著缩小了城乡土地利用效率差距,机制渠道指向农业技术进步、资本配置优化、农业产业升级;(2)政策效应在原贫困县、土地流转率高、数字基础强的县更显著;(3)分解结果显示差距缩小主要由农村追赶驱动,而非城市衰退。本研究澄清了智慧农业建设如何通过要素再配置平衡城乡土地利用。
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