工业技术经济2026，Vol.45Issue(10)：75-85,11.DOI:10.3969/j.issn.1004-910X.2026.10.006
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
The Impact of Artificial Intelligence Cross-Technology Convergence on Total Factor Productivity of Energy Enterprises:Innovation Boundaries and Policy Synergy
摘要
Abstract
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.关键词
人工智能跨技术融合/能源企业全要素生产率/知识宽度/信息吸收能力/新技术池/人工智能政策/新能源政策/数实政策协同Key words
AI cross-technology convergence/total factor productivity of energy firms/knowledge breadth/information absorption capacity/new technology pools/AI policy/new energy policy/digital-real policy synergy分类
管理科学引用本文复制引用
凌士显,卢昱辰..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[J].工业技术经济,2026,45(10):75-85,11.基金项目
国家社会科学基金重点项目"'一带一路'沿线国家主权债务风险治理研究"(项目编号:24AJY016). （项目编号:24AJY016）
