Progress, experience, and recommendations from pilot programs for coordinated digital-intelligent and green transformation in ten regions of China

Authors

• Yingtong CHEN, School of Economics and Management, China University of Petroleum, Qingdao 266580, ChinaFollow
• Yupeng SHI, School of Economics and Management, China University of Petroleum, Qingdao 266580, China
• Bin LI, Marine Science Research Institute of Shandong Province (National Oceanographic Center, Qingdao), Qingdao 266104, ChinaFollow
• Xue NIU, Shandong Academy of Innovation and Development (Management Center of Shandong Academy of Information and Communication Technology), Jinan 250101, China
• Qiang JI, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
• Lin XIANG, School of Economics and Management, China University of Petroleum, Qingdao 266580, China

Keywords

digital-intelligent transformation, green transformation, policy pilots, case analysis, text analysis

Abstract

Coordinated digital-intelligent and green transformation is an important pathway for advancing high-quality manufacturing development. Focusing on the first batch of comprehensive pilot programs for coordinated digital and green transformation launched in 2023, this study combines literature review, text analysis, and comparative case analysis to examine the practices and phased outcomes of ten pilot regions. It identifies three pathways—digital-enabled green transformation, green-driven digital transformation, and integrated digital-green development—and summarizes key experiences in institutional design, infrastructure restructuring, platform innovation, and tool empowerment. The findings show that the pilot regions have adopted differentiated approaches based on their industrial foundations, resource endowments, and development orientations, while common challenges remain in integrated applications, standards, market support, and talent supply. Pilot regions should strengthen coordination mechanisms, standards, funding support, talent development, and experience synthesis, while non-pilot regions should adapt relevant practices to local conditions. This study provides practical references for advancing coordinated digital-intelligent and green transformation beyond pilot exploration.

First page

1598

Last Page

1612

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

[1] 郑永年. 如何科学地理解"新质生产力"？. 中国科学院院刊, 2024, 39(5): 797-803. Zheng Y N. How to scientifically understand "new quality productivity"?. Bulletin of Chinese Academy of Sciences, 2024, 39(5): 797-803. (in Chinese)

[2] 王群伟, 杜倩, 李振冉, 等. 数字化和绿色化转型的碳排放双控效果: 基于制造业新质生产力的机制解析. 中国管理科学, 2025, 33(11): 321-335. Wang Q W, Du Q, Li Z R, et al. The dual control effects of carbon emissions of digital and green transitions: A mechanistic analysis based on new quality productive forces in manufacturing industries. Chinese Journal of Management Science, 2025, 33(11): 321-335. (in Chinese)

[3] 石垚, 李会泉, 陈少华, 等. 城市多源固废协同利用与区域绿色循环发展研究——以东莞海心沙国家资源循环利用示范基地为例. 中国科学院院刊, 2023, 38(12): 1804-1817. Shi Y, Li H Q, Chen S H, et al. Synergism utilization of urban multi-source solid waste and district green recycling development—Taking Dongguan Haixinsha National Resource Recycling Demonstration base as an example. Bulletin of Chinese Academy of Sciences, 2023, 38(12): 1804-1817. (in Chinese)

[4] Cui Y C. An environment-oriented collaborative optimization management system for smart cities under energy-carbon constraints// Proceedings of the 2nd International Conference on Smart City and Sustainable Development. Xi'an: ACM, 2026: 503-510.

[5] 陈晓红, 唐润成, 胡东滨, 等. 电力企业数字化减污降碳的路径与策略研究. 中国科学院院刊, 2024, 39(2): 298-310. Chen X H, Tang R C, Hu D B, et al. Path and strategy of pollution and carbon reduction by digitization in electric power enterprises. Bulletin of Chinese Academy of Sciences, 2024, 39(2): 298-310. (in Chinese)

[6] 刘芸, 谢国梁, 崔乐乐, 等. 数字化与绿色化融合水平的测度、区域差异与动态演进. 统计与决策, 2025, 41(19): 66-71. Liu Y, Xie G L, Cui L L, et al. Measurement, regional differences and dynamic evolution of digitalization and greenization integration level. Statistics & Decision, 2025, 41(19): 66-71. (in Chinese)

[7] 张志伟, 章宁, 肖土盛. 制造企业数字化与绿色化协同转型对企业绩效的影响机制研究. 管理评论, 2025, 37(11): 67-80. Zhang Z W, Zhang N, Xiao T S. Research on the mechanism of how digital-green synergistic transformation influences firm performance in manufacturing sector. Management Review, 2025, 37(11): 67-80. (in Chinese)

[8] 张伟, 刘雪梦. 新发展格局下促进我国绿色科技金融发展的若干建议. 中国科学院院刊, 2024, 39(7): 1245-1252. Zhang W, Liu X M. Suggestions for promoting green science and technology finance in China under new development pattern. Bulletin of Chinese Academy of Sciences, 2024, 39(7): 1245-1252. (in Chinese)

[9] 朱汉雄, 王一, 茹加, 等. "双碳"目标下推动能源技术区域综合示范的路径思考. 中国科学院院刊, 2022, 37(4): 559-566. Zhu H X, Wang Y, Ru J, et al. Thoughts on regional path of promoting comprehensive demonstration of low-carbon energy technology under "dual carbon" goals. Bulletin of Chinese Academy of Sciences, 2022, 37(4): 559-566. (in Chinese)

[10] 刘美玉, 段红莉, 黄速建. 双化协同对企业高质量发展的影响. 经济与管理研究, 2025, 46(12): 39-56. Liu M Y, Duan H L, Huang S J. Impact of dual-transformation synergy on high-quality development of enterprises. Research on Economics and Management, 2025, 46(12): 39-56. (in Chinese)

Recommended Citation

CHEN, Yingtong; SHI, Yupeng; LI, Bin; NIU, Xue; JI, Qiang; and XIANG, Lin (2026) "Progress, experience, and recommendations from pilot programs for coordinated digital-intelligent and green transformation in ten regions of China," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 41 : Iss. 8 , Article 5.
DOI: https://doi.org/10.3724/j.issn.1000-3045.20260725004
Available at: https://bulletinofcas.researchcommons.org/journal/vol41/iss8/5