Evolution of the Chinese Industry-University-Research Collaborative Innovation System

Jianyu Zhao,Guangdong Wu

doi:10.1155/2017/4215805

Abstract

The goal of this study was to reveal the mechanism of the Chinese industry-university-research collaborative innovation (IURCI) and interactions between the elements in the system and find issues that exist in the collaborative innovation process. Based on the theoretical perspective of innovation and complexity science, we summarized the elements of the IURCI as innovation capability, research and development (R&D) configuration, and knowledge transfer and established a theoretical model to describe the evolution of the IURCI system. We used simulation technology to determine the interactions among variables and the evolution trend of the system. The results showed that the R&D configuration can promote the evolution of innovation capability and knowledge transfer and that innovation capacity is the current dominant factor in the evolution of the Chinese IURCI system and is highly positively correlated with R&D configuration. The evolutionary trend of knowledge transfer was gentler, and its contribution to the evolution of the Chinese IURCI system was less than that of R&D configuration. When innovation, R&D configuration, and knowledge transfer are relatively balanced, the collaborative innovation system can achieve high speed and stable evolution.

Highlights

Innovation is an important stimulator of economic development and is a key element in the global competitiveness of the country
Based on the theoretical perspective of innovation and complexity science, we summarized the elements of the industry-university-research collaborative innovation (IURCI) as innovation capability, research and development (R&D) configuration, and knowledge transfer and established a theoretical model to describe the evolution of the IURCI system
The results showed that the R&D configuration can promote the evolution of innovation capability and knowledge transfer and that innovation capacity is the current dominant factor in the evolution of the Chinese IURCI system and is highly positively correlated with R&D configuration

Summary

Introduction

Innovation is an important stimulator of economic development and is a key element in the global competitiveness of the country. Complexity institutes rarely share innovation resources, most types of technology transfer are carried out under the guidance of government, and universities and research institutions do not take the initiative to understand the technology needs of industry These problems have seriously hampered knowledge spillover in the Chinese innovation system and have become an obstacle that China must overcome to build an innovation-driven country through independent innovation. In contrast to the past static perspective, we established an evolutionary logistics/dynamics equation to describe the research collaborative innovation system in China, using relevant methods from game theory to solve it On this basis, we collected indices and data that have influenced Chinese IURCI from 2005 to 2014, simulated the evolution morphology of related variables by MATLAB software, analyzed the interactions between elements and dynamic evolution, and demonstrated in detail the evolution mechanism of the research innovation system in China. In the conclusion, we discuss the innovation and contribution of research achievements and propose the main direction for future research

Theory

Model Establishment

Model Analysis

Simulation

Conclusion