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An Empirical Study on the Influence Mechanism of High-Level Universities on Local Enterprise Innovation under the Background of Machine Learning.
- Source :
- International Transactions on Electrical Energy Systems; 9/5/2022, p1-13, 13p
- Publication Year :
- 2022
-
Abstract
- As the cradle of scientific research institutions and the cultivation of innovative talents, high-level universities are of certain theoretical and practical significance to investigate the impact of high-level universities on the innovation of local enterprises under the realistic background of the revival of machine learning. This paper takes A-share listed enterprises in Shanghai and Shenzhen stock markets from 2013 to 2019 as samples, and empirically examines the relationship between high-level universities and local enterprise innovation from the perspective of "double first-class" universities. The study found that high-level universities have a significant role in promoting the innovation of local enterprises, and a series of robustness tests have also confirmed the conclusions of this paper. Mechanism analysis shows that high-level universities promote local enterprise innovation mainly by promoting human capital output and school-enterprise cooperation. Heterogeneity analysis shows that executive gender, government intervention, and differences in regional development levels have significant heterogeneity effects. This paper has obvious policy implications: China should guide high-level universities to cultivate high-quality talents, cultivate positive school-enterprise cooperation, promote the sharing of innovative resources, and promote the high-quality development of the real economy. [ABSTRACT FROM AUTHOR]
- Subjects :
- MACHINE learning
REGIONAL development
REAL economy
RENAISSANCE
EMPIRICAL research
Subjects
Details
- Language :
- English
- ISSN :
- 20507038
- Database :
- Complementary Index
- Journal :
- International Transactions on Electrical Energy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 158916561
- Full Text :
- https://doi.org/10.1155/2022/8032864