•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

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

Abstract

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.

First page

1613

Last Page

1624

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

[1] 戚聿东, 蔡青青, 罗天舒. 数字化与绿色化协同发展的模式与路径. 数量经济技术经济研究, 2026, 43(3): 5-28. Qi Y D, Cai Q Q, Luo T S. Models and pathways for the synergistic development of digitalization and green transformation. Journal of Quantitative & Technological Economics, 2026, 43(3): 5-28. (in Chinese)

[2] 杨茜月, 程时雄, 张明. 相得益彰：数绿技术融合的减排效应研究——来自企业周边PM2.5的经验证据. (2026-07-16)[2026-08-06]. https://link.cnki.net/urlid/11.2267.N.20260715.2015.025. Yang Q Y, Cheng S X, Zhang M. Mutually reinforcing: Research on emission reduction effect of digital-green technology fusion—Empirical evidence from PM2.5 surrounding enterprises. (2026-07-16)[2026-08-06]. https://link.cnki.net/urlid/11.2267.N.20260715.2015.025. (in Chinese)

[3] 李根, 刁天乐, 刘家国, 等. 我国制造业数字化绿色化协同发展时空分异及影响因素研究. (2026-02-04)[2026-08-06]. https://doi.org/10.16381/j.cnki.issn1003-207x.2025.0079. Li G, Diao T L, Liu J G, et al. The spatiotemporal differentiation and influencing factors of synergistic development between digitalization and greenization in China's manufacturing industry. (2026-02-04)[2026-08-06]. https://doi.org/10.16381/j.cnki.issn1003-207x.2025.0079. (in Chinese)

[4] Zhang H Y, Gao S Z, Zhou P. Role of digitalization in energy storage technological innovation: Evidence from China. Renewable and Sustainable Energy Reviews, 2023, 171: 113014.

[5] 陈晓红, 史琦, 周志方, 等. 算力基础设施对企业低碳转型的影响研究. (2026-05-13)[2026-08-06]. https://link.cnki.net/urlid/11.1567.G3.20260512.1606.021. Chen X H, Shi Q, Zhou Z F, et al. Research on the impact of computing power infrastructure on corporate low-carbon transformation. (2026-05-13)[2026-08-06]. https://link.cnki.net/urlid/11.1567.G3.20260512.1606.021. (in Chinese)

[6] 周济, 朱高峰, 王礼恒, 等. 高端化、智能化、绿色化、融合化——我国制造业创新发展的战略方向与技术路线. 中国工程科学, 2026, 28(1): 1-11. Zhou J, Zhu G F, Wang L H, et al. High-end, intelligent, green, and integrated: Strategic directions and technological pathways for the innovative development of China's manufacturing industry. Strategic Study of CAE, 2026, 28(1): 1-11. (in Chinese)

[7] 曹裕, 李想, 胡韩莉, 等. 数字化如何推动制造企业绿色转型？——资源编排理论视角下的探索性案例研究. 管理世界, 2023, 39(3): 96-112. Cao Y, Li X, Hu H L, et al. How does digitalization drive the green transformation in manufacturing companies? An exploratory case study from the perspective of resource orchestration theory. Management World, 2023, 39(3): 96-112. (in Chinese)

[8] 尹西明, 张贝贝, 陈泰伦, 等. 我国集成电路现代化产业体系构建的战略与路径思考. 中国科学院院刊, 2024, 39(7): 1191-1204. Yin X M, Zhang B B, Chen T L, et al. Insights on strategy and approach for China to construct a modern integrated circuits industrial system. Bulletin of Chinese Academy of Sciences, 2024, 39(7): 1191-1204. (in Chinese)

[9] 马文甲, 张弘正, 张琳琳. "全面赋能"还是"局部赋能"?数字化转型对绿色创新的非对称影响研究. 系统工程理论与实践, 2025, 45(6): 1788-1811. Ma W J, Zhang H Z, Zhang L L. "Fully Empowered" or "Partially Empowered"? Research on the asymmetric impact of digital transformation on green innovation. Systems Engineering—Theory & Practice, 2025, 45(6): 1788-1811. (in Chinese)

[10] 高俊莲, 张博, 张国生, 等. 数字经济时代我国能源模型的创新发展研究. 中国科学院院刊, 2024, 39(8): 1336-1347. Gao J L, Zhang B, Zhang G S, et al. Innovative development of China's energy models in digital economy era. Bulletin of Chinese Academy of Sciences, 2024, 39(8): 1336-1347. (in Chinese)

Download
Request a Copy

Share

COinS