Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
manufacturing industry, coordinated digital-intelligent and green transformation, theoretical analysis, promotion path
Abstract
The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the establishment of a technology integration system, improving industrial chain collaboration mechanisms, and optimizing the allocation of production factors. These findings offer theoretical references and policy implications for advancing the coordinated digital-intelligent and green transformation of China’s manufacturing industry and accelerating its pursuit of manufacturing power.
First page
1560
Last Page
1573
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
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Recommended Citation
XUE, Chaokai; QU, Xiaohui; WANG, Laijun; and YANG, Yifan
(2026)
"Theoretical analysis and promotion path of coordinated digital-intelligent and green transformation in manufacturing industry,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 41
:
Iss.
8
, Article 2.
DOI: https://doi.org/10.3724/j.issn.1000-3045.20260725007
Available at:
https://bulletinofcas.researchcommons.org/journal/vol41/iss8/2
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