肖丁丁,惠朋,刘绍妮,杜欣欣,王来军,朱桂龙,郭文波.我国传统制造业数智化绿色化协同转型的实践调研与政策建议——以山东省重点传统制造业为例[J].中国科学院院刊,2026,41(8):1585-1597.

我国传统制造业数智化绿色化协同转型的实践调研与政策建议——以山东省重点传统制造业为例

Field research and policy recommendations on coordinated digital-intelligent and green transformation of China's traditional manufacturing industry—Evidence from key traditional manufacturing industries in Shandong Province

肖丁丁¹
山东师范大学 商学院 济南 250358
XIAO Dingding¹
Business School, Shandong Normal University, Jinan 250358, China
惠朋^1*
山东师范大学 商学院 济南 250358
HUI Peng^1*
Business School, Shandong Normal University, Jinan 250358, China
刘绍妮²
中共莱阳市委党校 烟台 265200
LIU Shaoni²
Party School of Laiyang Municipal Party Committee, Yantai 265200, China
杜欣欣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
DU Xinxin³
Marine Science Research Institute of Shandong Province (National Oceanographic Center, Qingdao), Qingdao 266104, China
王来军⁴
中国(山东)自由贸易试验区济南片区管委会 济南 250024
WANG Laijun⁴
Management Committee of Jinan Area of China (Shandong) Pilot Free Trade Zone, Jinan 250024, China
朱桂龙⁵
华南理工大学 工商管理学院 广州 510641
ZHU Guilong⁵
School of Business Administration, South China University of Technology, Guangzhou 510641, China
郭文波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
GUO Wenbo³
Marine Science Research Institute of Shandong Province (National Oceanographic Center, Qingdao), Qingdao 266104, China

         传统制造业;数智化绿色化协同转型;现代化产业体系

        traditional manufacturing industry;coordinated digital-intelligent and green transformation;modern industrial system

        传统制造业数智化绿色化协同转型是推动传统产业优化升级、加快建设现代化产业体系的重要路径。文章基于对山东省汽车制造、煤炭加工、纺织和石油化工等行业20余家代表性企业的实地调研，系统分析传统制造业数智化绿色化协同转型的实践进展、典型模式、现实制约及政策需求。调研与分析表明，我国传统制造业数智化绿色化协同转型正由单点改造向系统集成、由生产环节向全生命周期、由单体企业向产业链协同拓展，但仍面临技术与工艺融合不深、数据价值释放不足、资金和人才支撑薄弱、产业生态和制度供给不完善、场景验证与推广机制不健全等问题。为此，应强化融合技术与绿色工艺攻关，健全数据治理、长期投入、人才保障和产业协同机制，完善中试验证、场景开放、分类评价及规模化推广体系，为我国传统制造业转型升级和现代化产业体系建设提供决策参考。

        The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China's traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient integration of technologies and production processes, inadequate realization of data value, weak financial and talent support, underdeveloped industrial ecosystems and institutional provisions, and incomplete mechanisms for scenario validation, replication, and large-scale diffusion. Accordingly, efforts should be made to strengthen breakthroughs in integrated technologies and green processes; improve mechanisms for data governance, long-term investment, talent support, and industrial collaboration; and establish sound systems for pilot-scale validation, access to real-world application scenarios, differentiated evaluation, and large-scale diffusion. These measures can provide decision-making support for the upgrading of China's traditional manufacturing sector and the development of a modern industrial system.