张鸿雁,彭雨婷,孙亚静,周鹏,赵彦飞,杨湘君,张超.我国制造业数智化绿色化融合技术发展研判与对策建议[J].中国科学院院刊,2026,41(8):1613-1624.

我国制造业数智化绿色化融合技术发展研判与对策建议

Development assessment and strategic recommendations for integrated digital-intelligent and green technology in China's manufacturing industry

张鸿雁¹
中国石油大学(华东) 经济管理学院 青岛 266580
ZHANG Hongyan¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
彭雨婷¹
中国石油大学(华东) 经济管理学院 青岛 266580
PENG Yuting¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
孙亚静¹
中国石油大学(华东) 经济管理学院 青岛 266580
SUN Yajing¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
周鹏^1*
中国石油大学(华东) 经济管理学院 青岛 266580
ZHOU Peng^1*
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
赵彦飞²
河南工业大学 管理学院 郑州 450001
ZHAO Yanfei²
School of Management, Henan University of Technology, Zhengzhou 450001, China
杨湘君³
山东省海洋科学研究院(青岛国家海洋科学研究中心) 青岛 266104
YANG Xiangjun³
Marine Science Research Institute of Shandong Province (National Oceanographic Center, Qingdao), Qingdao 266104, China
张超⁴
南京航空航天大学 经济与管理学院 南京 211106
ZHANG Chao⁴
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

         制造业;融合技术;数智化技术;绿色化技术;技术发展

        manufacturing industry;integrated technology;digital-intelligent technology;green technology;technology development

        当前我国制造业正面临数智化与绿色化协同转型的双重挑战，推动二者深度融合发展已成为加速转型进程、提升产业竞争力的关键突破路径。厘清数智化与绿色化融合技术发展现状及方向，有助于优化制造业数智化绿色化协同转型路径，为经济高质量发展提供有力支撑。因此，文章聚焦于支撑转型的技术基础，基于专利视角刻画制造业数智化绿色化融合技术发展态势，从发展阶段、区域分布、行业差异等多维度剖析制造业数智化绿色化融合技术发展现状，结合国内外技术布局研判我国制造业数智化绿色化融合技术发展重点及未来挑战；进而，针对性提出明确前沿技术发展方向、激发企业创新动能、设计差异化政策等方面的对策建议，为优化制造业数智化绿色化融合技术发展路径、推动制造业高质量发展提供事实依据与理论参考。

        The manufacturing industry is currently under the dual pressure of coordinated digital–intelligent and green transformation, and promoting the deep integration of these two dimensions has become a strategic choice for enhancing industrial competitiveness. Clarifying the current status and future directions of convergence technologies that integrate digital intelligence and green development can help optimize the coordinated transformation pathways for manufacturing, thereby providing strong support for high-quality economic development. Therefore, this study focuses on the technological foundation underpinning the transformation, delineating the development landscape of integrated digital-intelligent and green technologies in manufacturing industry from a patent perspective. The study analyzes the current status of these integrated technologies across multiple dimensions, including development stages, regional distribution, and sectoral differences. By examining domestic and international technology layouts, the study identifies the development priorities and future challenges of China's integrated digital-intelligent and green technologies in manufacturing industry. The targeted countermeasures and recommendations are suggested in areas including clarifying frontier technology directions, stimulating enterprise innovation momentum, and designing differentiated policies. These efforts aim to provide empirical evidence and theoretical reference for optimizing the development pathways of integrated digital-intelligent and green technologies and for promoting high-quality development of China's manufacturing industry.