农业大数据学报2025，Vol.7Issue(3)：331-342,12.DOI:10.19788/j.issn.2096-6369.000079
大数据促进农业生产效率的机制与效应研究
Research on the Mechanisms and Effects of Big Data in Promoting Agricultural Production Efficiency:A Quasi-natural Experiment of National-level Big Data Comprehensive Pilot Zone Policies
摘要
Abstract
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.关键词
大数据政策/农业生产效率/准自然实验/双重差分模型/空间杜宾模型Key words
big data policy/agricultural production efficiency/quasi-natural experiment/difference-in-differences model/spatial Durbin model引用本文复制引用
苗金芳,马明瑞,罗军林..大数据促进农业生产效率的机制与效应研究[J].农业大数据学报,2025,7(3):331-342,12.基金项目
广东省普通高校特色创新类项目(项目编号:2024WTSCX129),广东科技学院博士项目(GKY-2024BSQDW-18). （项目编号:2024WTSCX129）
