尹西明,苏雅欣,陈泰伦,陈劲,余江.场景驱动：产业智能化加速新质生产力发展的逻辑与路径研究[J].中国科学院院刊,2025,40(6):1070-1081.

场景驱动：产业智能化加速新质生产力发展的逻辑与路径研究

Context-driven: Logic and pathway of industrial intelligence to accelerate development of new quality productive forces

尹西明¹
北京理工大学 管理学院 北京 100081
YIN Ximing¹
School of Management, Beijing Institute of Technology, Beijing 100081, China
苏雅欣²
武汉大学 经济与管理学院 武汉 430072
SU Yaxin²
Economics and Management School, Wuhan University, Wuhan 430072, China
陈泰伦³
浙江大学 管理学院 杭州 310058
CHEN Tailun³
School of Management, Zhejiang University, Hangzhou 310058, China
陈劲^4*
清华大学 经济管理学院 北京 100084
CHEN Jin^4*
School of Economics and Management, Tsinghua University, Beijing 100084, China
余江^5,6
中国科学院科技战略咨询研究院 北京 100190;中国科学院大学 公共政策与管理学院 北京 100049
YU Jiang^5,6
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China

         新质生产力;产业智能化;场景驱动创新;现代化产业体系;新支柱产业

        new quality productive forces;industrial intelligence;context-driven innovation;modernized industrial system;new pillar industry

        产业智能化是通过智能技术与数据要素赋能现有产业发展模式转型和培育新支柱产业的过程，是推进新型工业化和发展新质生产力的关键引擎。如何发挥我国超大规模市场的丰富应用场景优势，提升产业智能化效能以加速新质生产力发展，成为推动科技创新与产业创新深度融合，加快建设现代化产业体系的重大理论问题。文章基于场景驱动创新和融通创新理论，探究场景驱动产业智能化的内涵特征与关键要素，从结构视角与过程视角探讨场景驱动产业智能化加速新质生产力的核心逻辑，并结合场景驱动产业智能化典型案例论述其赋能新质生产力发展的实践进路。文章为“十五五”时期把握场景驱动创新范式机遇，加快“人工智能+”行动落地，推动新型工业化和现代化产业体系建设，培育新支柱产业，进而加速新质生产力发展提供理论洞见和科学决策启示。

        The development of new productive forces hinges on industrial intelligence, which is driven by the deep integration of technological innovation and industrial innovation, and the accelerated construction of a modern industrial system. Industrial intelligence refers to the process of transforming traditional industrial development models and cultivating new pillar industries through the empowerment of intelligent technologies and data elements. It serves as a pivotal engine for promoting new industrialization and developing new productive forces. However, existing research has largely overlooked the critical theoretical and practical issues of how to leverage China’s ultra-large market and its vast contextual advantages to improve the effectiveness of industrial intelligence, and accelerate the development of new productive forces. The study critically reviews extant research and practices on industrial intelligence and new productive forces. Grounded in the theories of context-driven innovation and coinnovation, it explores the connotative characteristics and key elements of context-driven industrial intelligence. It discusses the core logic through which context-driven industrial intelligence accelerates the development of new productive forces from a structural and process perspective, supported by illustrative case studies. The study provides theoretical insights and scientific guidance for seizing the opportunities presented by the context paradigm, advancing the “AI Plus” initiative, promoting new industrialization, improving the construction of a modern industrial system, cultivating new pillar industries, and accelerating the development of new productive forces during the 15th Five-Year Plan period.