人工智能跨技术融合对能源企业全要素生产率的影响:创新边界与政策协同OACHSSCD

Based on data from Chinese A-share-listed energy firms between 2009 and 2024,this paper empirically exa-mines the impact and mechanisms of AI cross-technology convergence on the total factor productivity(TFP)of energy companies.Research has found that AI cross-technology convergence significantly enhances TFP in the energy firms.Mechanism tests indicate that AI cross-technology convergence breaks through the new energy innovation boundaries by broadening knowledge breadth,en-hancing information absorption capacity and creating new technology pools,thereby boosting energy firms'TFP.As the same time,digital-real policy coordination positively moderates the enhancing effect of AI cross-technology convergence on the TFP.Heteroge-neity analysis indicates that the positive effect is more pronounced among traditional energy firms with broader coverage across the in-dustrial chain and among new energy firms with higher centrality within the supply chain.The study provides micro-level evidence and strategic insights for accelerating the intelligent transformation of the energy sector and achieving high-quality development.