Coupling Coordination between Technology Transfer in Universities and High‐Tech Industries Development in China

Abstract

Only through successful transformation and application in industries, technology achievements in universities can promote economic and social development. Meanwhile, technological progress in high-tech industries depends in part on universities’ technology achievements. Coupling coordination between technology transfer in universities (TTU) and high-tech industries development (HTID) is of great significance to the sustainable development of the regional sci-tech innovation system. In this paper, the coupling mechanism of TTU and HTID is analyzed and comprehensive evaluation index systems are established by using the evaluation indicator to screen and assign weights based on information contribution rate. The coupling coordination index (CCI) and productivity index (PI) are introduced to derive the spatiotemporal characteristics of the coupling and coordination of TTU and HTID from 2010 to 2019 in China and analyze its influence factors by System-Generalized Method of Moments (SYS-GMM). The results show the following: (1) the overall national TTU-HTID CCI shows a gradual upward trend and large regional differences; (2) CCI of most provinces is increasing, but the differences are widening; (3) the national TTU PI is in a state of volatility and decline, but the ability of TTU is still much higher than the level of HTID; (4) technological innovation in high-tech industries, high-tech industry technology absorption capacity, high-tech industry development level, industry-university cooperation, and technological finance development have significant roles in promoting the coupling coordination of TTU-HTID. Meanwhile, the sci-tech innovation level in universities, technology transferability in universities, government support, development of sci-tech intermediary, and development of other research institutions have no significant impact.

Spatiotemporal characteristics and influencing factor analysis of universities’ technology transfer level in China: The perspective of innovation ecosystems

“…The steps for screening indicators and determining weights include (1) calculating the eigenvalues of the index correlation coefficient matrix, (2) determining the key factors to be retained, (3) calculating the factor loading matrix, (4) calculating the information contribution rate of the indices, (5) calculating the cumulative information contribution rate, (6) screening indicators with a high information contribution rate, (7) checking the necessity of eliminating information overlap indicators, (8) eliminating indicators with a high degree of information overlap, and (9) determining the weight of the evaluation indices. The detailed calculation process can be found in the related reference [ 56 ], and the results are shown in Table 1 . To reflect the comparability of data between provinces, all indices are used per capita data.…”

Identifying directions for improving means of technology transfer safety regulation

“…Within the framework of research reported in [3], it was concluded that the technology, as a result of its transfer, has a significant impact not only on economic relations but also on the environment. Under such conditions, the prevailing means of determining the safety of technology through intellectual property mechanisms are not effective.…”

“…All the studies analyzed above [1][2][3][4][5][6][7][8] testify to the focus of scientific research on solving the issue of limiting the freedom to use technology, taking into account the interests of public safety. No works were found within which generalized constructions of regulatory techniques were formed.…”

Towards Carbon Neutrality: Carbon Emission Performance of Science and Technology Finance Policy

“…In China, there is significant regional heterogeneity in sci-tech collaborative efficiency, and human capital and financing are important channels for promoting the integration of technology and finance [ 43 ]. Additionally, the development of science and technology finance has a positive impact on the coupling coordination between the technology transfer of universities and high-tech industries [ 44 ].…”