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OA

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."