Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
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Article Number | 03004 | |
Number of page(s) | 12 | |
Section | Data Science | |
DOI | https://doi.org/10.1051/e3sconf/202340903004 | |
Published online | 01 August 2023 |
Research on the Enterprise Collaborative Innovation Performance in the Economic Circle of Chengdu-Chongqing from the Perspective of Proximity
1 Business School, Sichuan University, Chengdu 610065, People’s Republic of China
2 Zigong Waterless Port Investment Development Co., Ltd., Zigong 643000, People’s Republic of China
3 Brest Business School, Brest 29200, France
4 Business school, University of Mannheim, Mannheim 68159, Germany
* e-mail: cathyworkshop@126.com
Based on the perspective of proximity, in the context of the Economic Circle of Chengdu-Chongqing of China, we use invention patent data provided by the China National Intellectual Property Administration and conduct negative binomial models to empirically test the impact of multidimensional proximity on enterprise collaborative innovation performance. We further examine the moderating effect of enterprise innovation capacity on the relationship between multidimensional proximity and enterprise collaborative innovation performance. The results show that technological proximity, geographical proximity, and institutional proximity all positively affect enterprise collaborative innovation performance. Enterprise innovation capability has a negative moderating effect on the relationship between institutional proximity and enterprise collaborative innovation performance, but it cannot negatively moderate the positive effects of technological proximity and geographical proximity on enterprise collaborative innovation performance.
Key words: Patents and inventions / Regression analysis / Management / Data analytics / Economic and Social effects
© 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.
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