Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
traditional manufacturing industry, coordinated digital-intelligent and green transformation, modern industrial system
Abstract
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.
First page
1585
Last Page
1597
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.
References
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Recommended Citation
XIAO, Dingding; HUI, Peng; LIU, Shaoni; DU, Xinxin; WANG, Laijun; ZHU, Guilong; and GUO, Wenbo
(2026)
"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,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 41
:
Iss.
8
, Article 4.
DOI: https://doi.org/10.3724/j.issn.1000-3045.20260725006
Available at:
https://bulletinofcas.researchcommons.org/journal/vol41/iss8/4
Included in
Economics Commons, Manufacturing Commons, Science and Technology Policy Commons, Work, Economy and Organizations Commons


