赵海平,赵亚欣,宋凌硕,渐令,王军,臧树伟,武秀杰.全球制造业数智化绿色化转型态势：经验与启示[J].中国科学院院刊,2026,41(8):1574-1584.

全球制造业数智化绿色化转型态势：经验与启示

Global trends in coordinated digital-intelligent and green transformation of manufacturing: Experience and implications

赵海平¹
中国石油大学(华东) 经济管理学院 青岛 266580
ZHAO Haiping¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
赵亚欣¹
中国石油大学(华东) 经济管理学院 青岛 266580
ZHAO Yaxin¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
宋凌硕¹
中国石油大学(华东) 经济管理学院 青岛 266580
SONG Lingshuo¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
渐令^1*
中国石油大学(华东) 经济管理学院 青岛 266580
JIAN Ling^1*
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
王军¹
中国石油大学(华东) 经济管理学院 青岛 266580
WANG Jun¹
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
臧树伟²
青岛大学 商学院 青岛 266071
ZANG Shuwei²
Business College, Qingdao University, Qingdao 266071, China
武秀杰³
山东省创新发展研究院战略中心 济南 250101
WU Xiujie³
Strategy Center, Shandong Academy of Innovation and Development, Jinan 250101, China

         数智化转型;绿色化转型;全球态势;国际经验

        digital-intelligent transformation;green transformation;global trends;international experience

        制造业数智化绿色化协同转型正成为推动全球制造业转型升级、重塑产业竞争优势的重要方向。文章系统分析了全球制造业数智化绿色化协同转型的演进态势、不同经济体转型路径及重点行业布局特征，选取德国、美国和日本作为典型案例介绍其实践模式，并结合我国发展基础与现实短板提出政策建议。研究发现，全球制造业数智化绿色化协同转型已由并行演进逐步进入深度融合阶段，不同经济体形成了梯度分化、多元并存的转型路径，新能源装备、高端装备、传统高耗能产业等重点制造行业的全球布局呈现集聚强化与区域重构特征。通过总结德美日的实践经验，文章指出，亟须通过强化战略统筹和关键技术攻关、完善工业数据与绿色标准体系、实施分类分层推进、深化国际合作与规则塑造等举措，推动我国制造业数智化绿色化深度融合，提升产业链韧性和国际竞争力。

        The coordinated digital-intelligent and green transformation of manufacturing is emerging as a major direction for advancing the transformation and upgrading of the global manufacturing sector and reshaping industrial competitive advantages. This study systematically analyzes the evolution of this transformation worldwide, the transformation pathways adopted by different economies, and the strategic priorities of key industries. It then examines Germany, the United States, and Japan as representative cases to illustrate their respective approaches and practices. Drawing on China's existing development foundations and current shortcomings, the study puts forward corresponding policy recommendations. The findings reveal that the global coordinated transformation has progressively moved from parallel evolution to a stage of deep integration, with different economies following diversified and multi-tiered transition paths. In key manufacturing sectors—including new energy equipment, high-end equipment, and traditional energy-intensive industries—the global landscape exhibits feature of intensified agglomeration and regional reconfiguration. By synthesizing the practical experiences of Germany, the U.S., and Japan, the study argues that China urgently needs to strengthen strategic coordination and pursue breakthroughs in key technologies, improve industrial data governance and green standards systems, adopt differentiated and tiered implementation strategies, and deepen international cooperation and participation in global rule-making. And these measures are designated to promote deeper integration between the digital-intelligent and green transformation of China's manufacturing sector, thereby enhancing industrial-chain resilience and international competitiveness.