本文使用全国285个地级市2011至2020年的面板数据，将国家级大数据综合试验区政策作为准自然实验，运用广义双重差分模型、中介效应模型、空间杜宾模型，实证分析了大数据综合试验区建设对地区农业生产效率的影响。研究结果显示：（1）大数据综合试验区试点的设立显著提升了地区农业人均产值，有效提高其生产效率。（2）中介效应机制分析表明，国家级大数据试验区可以通过支持数字技术在农业领域的研发和应用，推进产业数字化，提高农业生产效率。（3）大数据综合试验区政策对农业生产效率具有负向空间交互效应，即大数据试验区的设立对周边地区农业发展具有虹吸效应。本研究为大数据综合试验区建设对地区农业发展的影响提供了重要的经验证据，可为数字经济扶农助农相关政策的制定提供参考。

This study utilizes panel data from 285 prefecture-level cities across China from 2011 to 2020, taking the national-level Big Data Comprehensive Experimental Zone policy as a quasi-natural experiment. Using a generalized difference-in-differences model, a mediation effect model, and a spatial Durbin model, we empirically analyze the impact of the establishment of Big Data Comprehensive Experimental Zones on regional agricultural production efficiency. The findings indicate the following: (1) The establishment of Big Data Experimental Zones has significantly enhanced regional agricultural output per capita, effectively improving production efficiency. (2) The mediation effect analysis reveals that the national Big Data Experimental Zones can advance agricultural productivity by promoting the research and application of digital technologies in the agricultural sector, thus driving industry digitalization. (3) The Big Data Experimental Zone policy demonstrates a negative spatial interaction effect on agricultural production efficiency, meaning that the establishment of such zones exerts a siphoning effect on agricultural development in neighboring regions. This study provides important empirical evidence regarding the impact of Big Data Experimental Zone development on regional agricultural advancement, aiming to inform policies related to supporting rural development through the digital economy.