An Empirical Study on the Influence Mechanism of High-Level Universities on Local Enterprise Innovation under the Background of Machine Learning. (5th September 2022)

• Record Type: Journal Article
• Authors: Zhu, Hui; Feng, Tianchu
• Other Names: Dhanasekaran Raghavan Academic Editor.
• Is Part Of: International transactions on electrical energy systems. Volume 2022(2022)
• Publication Date: 2022-09-05
• Subjects: Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1155/2022/8032864
• Languages: English
• ISSNs: 2050-7038

Abstract

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.