Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

September 25, 2023


Pages


DOI

Article

The impact of industrial-university-research collaborations on innovation output in China’s petroleum and petrochemical industry

Check for updates


Authors

Zhihong Zhu Affiliation:
School of Economics and Management, Chuzhou University, Chuzhou 239000, Anhui, China
and Shuang Zhang Affiliation:
Institute of Petroleum Economics and Management, Northeast Petroleum University, Daqing 163318, Heilongjiang, China.


Abstract

To increase the capacity and production of the petroleum and petrochemical industries, it is helpful to investigate the features of industry-university-research collaborative innovation networks. Using the DEA model as a research object, listed companies in China’s petroleum and petrochemical industries are assessed for their innovation output, Moreover, we examined the structural holes in a Co-innovation network between industry and university. We have also assessed the network’s density, the strength of its connections, and the quality of its links. The strength of network relationships was negatively correlated with innovation output, but network density was positively correlated with structural holes. As a result of the research, relevant policy recommendations are made, including actively building industry-university-research collaborative innovation platforms, improving the depth and breadth of collaboration between innovation entities within the industry-university-research network, by connecting industry and universities to collaborate on innovative projects, petroleum and petrochemical companies can better compete.


Keywords

Industry-University-Research Collaborative Innovation, Network Characteristics, Innovation Output, Petroleum and Petrochemical Industry, 00A06


Citation

Zhu, Z. & Zhang, S. (2023). The impact of industrial-university-research collaborations on innovation output in china’s petroleum and petrochemical industry. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01137

Published by: Engineering Journals

Engineering Journals Logo