河北农业大学学报（社会科学版）2026，Vol.28Issue(2)：79-92,14.DOI:10.13320/j.cnki.jauhe.2026.0019
数字化转型视角下智慧农业对农业绿色全要素生产率的影响
The Impact of Smart Agriculture on Agricultural Green Total Factor Productivity from the Perspective of Digital Transformation
摘要
Abstract
In the context of digital transformation,smart agriculture drives the green transformation of ag-riculture by restructuring the allocation mechanisms of production factors.Based on panel data from 30 provincial-level administrative regions in China spanning from 2013 to 2023,this study employs the Pressure-State-Response(PSR)dynamic empowerment theoretical framework to investigate this process.The entropy-weighted fuzzy comprehensive evaluation method and the SBM-GML model are u-tilized to assess the development level of smart agriculture and agricultural green total factor productivity(AGTFP),respectively,and to examine the underlying impact mechanisms.Findings indicate that smart agriculture exerts a statistically significant positive effect on AGTFP.This effect operates primarily through the driving force of agricultural green technological progress,exhibiting a nonlinear,stepwise in-tensification pattern:the marginal promoting effect of smart agriculture on significantly strengthens when the level of agricultural green technological progress surpasses two critical thresholds(1.235 and 1.562),manifesting a"cumulative-leap-reinforcement"staged evolutionary trajectory.Furthermore,the enab-ling efficacy of smart agriculture is significantly moderated by regional pressure-level factors(e.g.,re-source constraints and policy targets)and state-level factors(e.g.,infrastructure endowment and hu-man capital).Specifically,the enabling effect is statistically significant in the eastern and central regions but insignificant in the western region;it is significant south of the Qinling-Huaihe Line but insignificant north of it;and it is stronger in the southeastern quadrant relative to the northwestern quadrant of the Hu Huanyong Line.Robustness checks-including alternative variable measurement approaches,data clean-ing procedures,and time-series sensitivity analyses-along with an instrumental variable(Ⅳ)approach to mitigate endogeneity concerns,collectively confirm the credibility and stability of the findings.Accord-ingly,this study proposes a systematic policy framework grounded in precise alignment between the stage of technological evolution and regional endowments,aiming to overcome the implementation bottleneck characterized by"emphasizing equipment over efficiency."关键词
数字化转型/智慧农业/农业绿色全要素生产率/农业绿色技术进步Key words
digital transformation/smart agriculture/agricultural green total factor productivity/agricul-tural green technological progress分类
管理科学引用本文复制引用
高扬,王鹤阳..数字化转型视角下智慧农业对农业绿色全要素生产率的影响[J].河北农业大学学报（社会科学版）,2026,28(2):79-92,14.基金项目
国家社会科学基金项目:"农业绿色低碳转型与粮食安全融合发展机制及路径研究"(编号:23BJY150) （编号:23BJY150）
安徽省高校人文社科重点项目:"时变结构下许多弱工具变量稳健估计方法及应用研究"(编号:2023AH050219) （编号:2023AH050219）
安徽财经大学校级一般项目:"内生子组处理效应估计"(编号:ACKYC22094). （编号:ACKYC22094）
