scholarly journals Coupling Coordination between Technology Transfer in Universities and High-Tech Industries Development in China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Haining Fang ◽  
Qing Yang ◽  
Jinmei Wang ◽  
Xingxing Liu
Keyword(s):  
Technology Transfer ◽  
Generalized Method Of Moments ◽  
Innovation System ◽  
Absorption Capacity ◽  
Government Support ◽  
Productivity Index ◽  
High Tech ◽  
Coupling Mechanism ◽  
High Tech Industry ◽  
Evaluation Index Systems

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.

scholarly journals Factors affecting innovation capacity in Vietnamese Southern high technology industries

2017 ◽  
Vol 24 (03) ◽  
pp. 66-93
Author(s):  
Vân Đoàn Thị Hồng ◽  
Uyen Bui Nhat Le
Keyword(s):  
Government Support ◽  
High Tech ◽  
Total Quality ◽  
Precision Engineering ◽  
High Tech Industry ◽  
Factors Affecting ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Innovation Capacity ◽  
Technology Industries

Numerous studies have demonstrated that the success of businesses in the era of knowledge-based economy depends on their innovation capacity (Azevedo et al., 2007). Therefore, the main goal of this study is to explore the factors that impact the innovation capacity of enterprises in the Vietnam Southern high tech industry. Besides the qualitative method, the study carries out a survey of 380 enterprises in the fields of electronics, microelectronics, information technology, telecommunications, precision engineering, automation, biotechnology, and nanotechnology. The results reveal that total quality management, internal human resources, absorptive capacity, government support, and collaboration networks impact positively on the innovation capacity. In addition, the research proposes solutions for high tech enterprises to boost their innovation capacity in the future.

Foreign experience in the organization of innovative development of the economy

2021 ◽  
pp. 28-39
Author(s):  
V.A. Shumaev ◽  
N.A. Divueva ◽  
N.A. Lukasheva
Keyword(s):  
United States ◽  
Technology Transfer ◽  
The United States ◽  
High Tech ◽  
Innovative Development ◽  
Asian Countries ◽  
High Tech Industry ◽  
Foreign Experience

The article summarizes the experience of the United States, Germany and Asian countries in creating and organizing the development and functioning of innovative systems, technology transfer, building a high-tech industry, which is advisable to use in Russia.

Research on Regional Innovation Capability Based on BP Neural Network

2014 ◽  
Vol 926-930 ◽  
pp. 3191-3194
Author(s):  
Ya Qun Gao
Keyword(s):  
Life Cycle ◽  
Innovation System ◽  
High Tech ◽  
Innovation Capability ◽  
Regional Innovation ◽  
High Tech Industry ◽  
Life Cycle Theory ◽  
Economy Condition ◽  
Network Platform ◽  
System Life

The region innovation system has provided the network platform for the knowledge dissemination and the flowing, simultaneously in the region the high-tech industry colony's knowledge overflow promoted the knowledge in region sharing, becomes the region innovation the driving force. This article has constructed the region innovation system life cycle model based on the baud life cycle theory, has studied under the knowledge economy condition the high-tech industry colony knowledge overflow to the region innovation system different life cycle influence mechanism.

Threshold Effect of Knowledge Accumulation between Innovation Path and Innovation Performance: New Evidence from China’s High-tech Industry

2018 ◽  
Vol 23 (1) ◽  
pp. 163-184 ◽  
Author(s):  
Heng Chen ◽  
Jian Hou ◽  
Wei Chen
Keyword(s):  
Innovation Management ◽  
Threshold Model ◽  
Innovation System ◽  
Threshold Effect ◽  
Innovation Performance ◽  
High Tech ◽  
Dynamic Threshold ◽  
High Tech Industry ◽  
Knowledge Accumulation ◽  
The Relationship

In the process of transitioning from closed to open innovation, regions in developing countries need to understand how to choose the most effective path within the complex innovation system while considering their own innovation factors. Based on provincial panel data from China’s high-tech industry and the improved dynamic threshold model, we introduce the threshold of knowledge accumulation (KLA) into the non-linear mechanism between innovation paths and innovation performance to compare the dynamic threshold effect and its heterogeneity. This research provides interesting insights into innovation paths, showing that the relationship between the innovation path and innovation performance is significantly influenced by the threshold effect of KLA. As the level of KLA strengthens, its effects on each innovation path change. Overall, this article shows how KLA affects the relationship between the innovation path and innovation performance. The article concludes with a discussion of the implications of these insights for innovation management and policy.

SECTORAL DIFFERENCES IN TECHNOLOGY TRANSFER

2016 ◽  
Vol 20 (02) ◽  
pp. 1650020 ◽  
Author(s):  
THOMAS WOLFGANG THURNER ◽  
STANISLAV ZAICHENKO
Keyword(s):  
Technology Transfer ◽  
New Technologies ◽  
Influence Factors ◽  
Innovation System ◽  
High Tech ◽  
Russian Regions ◽  
Economic Activities ◽  
Clear Vision ◽  
Sectoral Differences ◽  
Russian Research

This paper studies sectoral differences in technology transfer of 170 Russian Research and Technology Organisations engaged into technology transfer to agriculture, mining and quarrying, high-tech, medium-high-tech, medium-low-tech and low-tech industries. RTOs in these five groups do not overlap by customers’ economic activities and are representative for all Russian regions. Certain factors have in fact opposite effects in different sectors. A customer without a clear vision is perceived as a curse by one sector, but by another one perceived as a blessing. Another such factor is the high economic risk of the application of new technologies. Furthermore, we proved the presence of influence factors which show the same effects with different degrees of intensity depending on the sectors. Thereby, we also provide insights into Russia’s innovation system.

World experience in using the program-targeted planning methods for high-tech industry development

2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin
Keyword(s):  
Russian Federation ◽  
Technological Development ◽  
High Tech ◽  
Economic Activities ◽  
High Tech Industry ◽  
Industry Development ◽  
Foreign Countries ◽  
Planning Methods ◽  
The Russian Federation ◽  
Development Objectives

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.

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