数字能力对粮食绿色生产效率的影响研究OACHSSCD
Impact of digital capability on grain green production efficiency:Evidence from major maize-producing regions in Southwest,Northwest,and Huang-Huai-Hai region of China
在粮食安全与农业绿色转型双重目标约束下,探究数字能力对粮食绿色生产效率的影响,对于推动粮食生产提质增效和农业高质量发展具有重要现实意义.文中基于537个玉米种植户的调研数据,采用超效率SBM模型测算玉米绿色生产效率,并运用双重机器学习模型实证分析数字能力对玉米绿色生产效率的影响.研究发现:1)数字能力能够显著提升玉米绿色生产效率,并通过缩尾、更换分割样本比例、替换机器学习算法及替换核心解释变量等一系列稳健性检验.2)机制分析表明,数字能力通过产前增强绿色认知、产中推动技术采纳和产后强化价格响应,进而提升玉米绿色生产效率.3)异质性分析表明,数字能力对玉米绿色生产效率的提升作用在基础设施条件较好及使用社会化服务的农户中更为显著,且不同维度的数字能力的影响效应存在差异.基于此,建议加强农户数字能力培育,完善农村数字基础设施和农业数字化服务体系,推进数字技术与绿色生产深度融合,进而赋能粮食生产绿色转型.
Under the dual objectives of ensuring food security and promoting agricultural green transformation,exploring the impact of digital capability on grain green production efficiency is of great practical significance for improving the quality and efficiency of grain production and advancing high-quality agricultural development.Based on survey data from 537 maize farmers,this study measures maize green production efficiency using the super efficiency SBM model and empirically examines the effect of digital capability on green production efficiency through a Double Machine Learning approach.The results indicate that:1)Digital capability significantly improves maize green production efficiency,and this conclusion remains robust after a series of robustness tests,including winsorization,alternative sample-splitting ratios,alternative machine learning algorithms,and alternative measures of the core explanatory variable.2)Mechanism analysis reveals that digital capability enhances green production efficiency through three pathways:strengthening green cognition in the pre-production stage,promoting technology adoption during production,and improving price responsiveness in the post-production stage.3)Heterogeneity analysis reveals that the positive effect of digital capabilities on maize green production efficiency is more pronounced among farmers with better infrastructure conditions and those using socialized services,while the effects differ across dimensions of digital capabilities.Based on these findings,this study suggests strengthening farmers' digital capability,improving rural digital infrastructure and agricultural digital service systems,and promoting the deep integration of digital technologies with green agricultural production,thereby facilitating the green transformation of grain production.
杨燕;马凯旋;杨钰莹;司伟
宁夏大学农学院,银川 750021宁夏大学经济管理学院,银川 750021宁夏大学经济管理学院,银川 750021中国农业大学经济管理学院,北京 100083
管理科学
粮食生产农业绿色转型绿色生产效率数字能力双重机器学习模型
grain productionagricultural green transformationgreen production efficiencydigital capabilityDouble Machine Learning Model
《干旱区资源与环境》 2026 (9)
59-70,12
宁夏自然科学基金项目(2026AAC030017)国家大豆产业技术体系专项建设项目(CARS-04-04A)国家自然科学基金项目(72573169)资助.
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