Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 04003 | |
Number of page(s) | 12 | |
Section | Project Management | |
DOI | https://doi.org/10.1051/e3sconf/202340904003 | |
Published online | 01 August 2023 |
The Impact of Knowledge Spillover from Universities in Sichuan-Chongqing Region on Regional Innovation Capacity
1 Faculty of Business, University of Prince Edward Island, Canada
2 School of Public Administration, Sichuan University, Chengdu 610065, People’s Republic of China
* e-mail: wuminhelen@163.com
As an important subject of the regional innovation system, the scientific research activities of universities are not only the power source of talent cultivation and knowledge innovation but also an important force to promote regional innovation development. This paper examines the influence relationship between knowledge spillover from universities in Sichuan province and Chongqing city and regional innovation capacity from the aspects of teaching and research personnel input, research and development personnel input in research input, monographs, academic papers, technology transfer contracts and transfer income in research output. The results show that the improvement of the innovation capacity in Sichuan province and Chongqing city depends on the increase of teaching and research personnel input and the number of scientific and technological topics in universities, while other indirect scientific research results do not contribute significantly to the regional innovation capacity; further mechanism analysis reveals that the knowledge spillover from universities mainly promotes the improvement of regional innovation capacity through human capital, physical capital, and scientific and technological innovation.
Key words: Sichuan-Chongqing region / Knowledge spillover / Regional innovation capacity
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.