生成式人工智能对农业企业创新持续性的影响研究OACHSSCD

In the context of the digital economy profoundly reshaping the industrial development landscape and the accelerated cultivation of new quality productive forces,generative artificial intelli-gence serves as a key tool for driving sustained innovation in agricultural enterprises and ensuring high-quality agricultural development,demonstrating increasingly prominent strategic value.Based on panel data of Chinese agricultural listed companies from 2020 to 2024,this study employs textual analysis methods to construct a generative artificial intelligence application index and empirically investigates the effects of generative artificial intelligence on innovation persistence in agricultural enterprises and the un-derlying mechanisms.The findings indicate that generative artificial intelligence significantly enhances in-novation persistence in agricultural enterprises.Mechanism analysis reveals that improvements in re-source allocation efficiency and the enhancement of knowledge absorption and reorganization capabilities are the important mechanisms through which generative artificial intelligence exerts its effects.Heteroge-neity analysis shows that the enabling effect of generative artificial intelligence on innovation persistence in agricultural enterprises varies significantly across agricultural enterprises with different ownership char-acteristics and across regions,reflecting the heterogeneous nature of ownership structure and regional de-velopment levels.Therefore,measures such as accelerating the popularization and application of genera-tive artificial intelligence technology,optimizing enterprise resource allocation mechanisms,strengthen-ing the development of knowledge absorption and reorganization capabilities,and improving regional differ-entiated support policies should be implemented to comprehensively enhance innovation persistence in agri-cultural enterprises and accelerate the digital transformation and high-quality development of agriculture.