AI赋能农业社会化服务对蔬菜绿色生产效率的影响研究—以山东寿光设施蔬菜为例

Research on the Impact of AI-enabled Agricultural Social Services on the Green Production Efficiency of Vegetables—A Case Study of Protected Vegetables in Shouguang, Shandong

摘要:

本研究基于山东寿光设施蔬菜产业的实践探索，阐释人工智能(AI)技术赋能农业社会化服务对蔬菜绿色生产效率的作用机制。通过构建多元线性回归模型，揭示了农业社会化服务通过技术溢出效应、规模经济效应及市场倒逼机制显著提升绿色生产效率的内在逻辑。结果表明，AI技术与社会化服务的协同效应突破传统要素配置的路径依赖，在降低技术采纳门槛的同时，促使绿色生产技术从离散应用转向系统集成，形成兼具经济可行性与生态可持续性的新型生产范式。研究发现，土地规模与农业生产经验作为关键控制变量，分别通过规模弹性优化与隐性知识积累为技术渗透提供结构性支撑，受教育年限与政策补贴未呈现显著性特征。研究创新性地提出AI技术与社会化服务深度融合的“技术-制度”协同框架，政策启示在于需重点培育专业化服务主体、完善数字基础设施并重构财政支农的激励相容机制，以实现农业生产效率提升与生态效益内生的双重目标。

Abstract:

This study based on the practical exploration of the protected vegetable industry in Shouguang, Shandong Province, elucidates the mechanism by which artificial intelligence（AI） technology empowers agricultural social services to improve the green production efficiency of vegetables. By constructing a multiple linear regression model, this study reveals the internal logic through which agricultural social services significantly improve green production efficiency via technological spillover effects, economies of scale, and market-driven mechanisms. The results indicate that the synergistic effect between AI technology and agricultural social services breaks through the path dependence of traditional resource allocation, lowering the barriers to technology adoption while shifting green production technologies from discrete applications to system integration, thereby forming a new production paradigm that is both economically viable and ecologically sustainable. The study finds that land scale and agricultural production experience, as key control variables, provide structural support for technological penetration through scale elasticity optimization and tacit knowledge accumulation, while years of education and policy subsidies are not statistically significant. The study innovatively proposes a "technologyinstitution" collaborative framework for the deep integration of AI technology and agricultural social services, and its policy implications lie in focusing on cultivating specialized service entities, improving digital infrastructure,and restructuring the incentive compatibility mechanisms for financial support to agriculture, in order to achieve the dual goals of improving agricultural production efficiency and internalizing ecological benefits.