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- ISSN: 2010-0248 (Print)
- Abbreviated Title: Int. J. Innov. Manag. Technol.
- Frequency: Quarterly
- DOI: 10.18178/IJIMT
- Editor-in-Chief: Prof. Jin Wang
- Managing Editor: Ms. Nancy Y. Liu
- Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory, Crossref, Electronic Journals Library.
- E-mail: ijimt@ejournal.net
doi: 10.18178/ijimt.2023.14.1.934
The Fostering Policies of the World-Class Advanced Manufacturing Industrial Innovation Ecosystem Based on Knowledge Advantage Perspective
Abstract—"Made in China 2025" clearly put forward the
strategic goal of becoming a powerful manufacturing country,
including the prospect of advanced manufacturing industry.
Government policy support has played an increasingly
important role in the fostering of advanced manufacturing
clusters. Based on the two-dimensional analysis framework
construction combined with the X-axis of policy tools and the
Y-axis of knowledge advantage, we studied the fostering policies
of the world-class advanced manufacturing industrial
innovation ecosystem, especially focusing on the dynamic
development process of knowledge production, and knowledge
transformation, and knowledge application. Additionally, we
also analyzed the trends in risk and knowledge advantage
during the life cycle of the world-class advanced manufacturing
industrial innovation ecosystems. We provide a fostering policy
framework and believe that this study could provide references
for the cultivation of a world-class advanced manufacturing
industrial innovation ecosystem in China.
Index Terms—Fostering policies, innovative ecosystem,
world-class advanced manufacturing industry, knowledge
advantage.
Yifan Zhang and Changyi Zhao are with the Business School, Sichuan
University, Chengdu, China.
*Correspondence: zhaochangyi@scu.edu.cn
Cite: Yifan Zhang and Changyi Zhao*, "The Fostering Policies of the World-Class Advanced Manufacturing Industrial Innovation Ecosystem Based on Knowledge Advantage Perspective," International Journal of Innovation, Management and Technology vol. 14, no. 1, pp. 24-28, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).