scholarly journals Knowledge creation and knowledge diffusion in space and regional innovation performance: introductory remarks

2013 ◽  
Vol 51 (1) ◽  
pp. 113-118 ◽  
Author(s):  
Roberta Capello ◽  
Attila Varga
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dongyun Zhu ◽  
Bingfen Xu

Purpose This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a five-year period. Design/methodology/approach The authors used multilevel regression analysis to analyze the relationship. Findings Results show that increasing government investment in research and development (R&D) can improve innovation performance during this period, organizational proximity and geographic proximity have a positive moderate effect on the relationship between R&D investment and Innovation performance. Originality/value This study enriches the existing theories on government innovation input and output from the perspective of regional differences and provides meaningful guidance for current Chinese regional innovation policies.


Author(s):  
Maria Teresa De Noronha Vaz ◽  
Purificacion Vicente Galindo ◽  
Peter Nijkamp ◽  
Eric de Noronha Vaz

2021 ◽  
Vol 7 (6) ◽  
pp. 5304-5317
Author(s):  
Zhang Hongyan ◽  
Luo Xiaoguang

Knowledge creation is an important basis of national innovation strategy, and industry university research cooperation is an important way of knowledge creation. Exploring the knowledge diffusion mechanism of different industry university research cooperation modes is conducive to knowledge creation. A good knowledge creation mechanism can improve the level of knowledge creation. Taking the tobacco industry as an example, this paper improves the knowledge creation level of the tobacco industry by establishing the knowledge creation mechanism of the tobacco industry, so as to solve the technical bottleneck of the tobacco industry and increase the number of innovative products in the tobacco industry. Through combing the research of scholars, it is found that the research on the promotion of knowledge creation by industry university research cooperation mode is relatively rich, but the research from the perspective of the relationship between knowledge diffusion mechanism and knowledge creation mechanism is slightly insufficient. In order to improve the knowledge creation level of industry university research cooperation, this paper obtains the knowledge creation mechanism of different industry university research cooperation modes by using SECI knowledge creation model. Innovatively put forward the "double helix" relationship between knowledge creation and knowledge diffusion in industry university research cooperation, that is, the knowledge diffusion mechanism in different industry university research cooperation modes will affect the level of knowledge creation, which provides a theoretical basis for the main subject of industry university research cooperation to find a way to improve the level of industry university research cooperation.


Author(s):  
Marzenna Anna Weresa ◽  
Arkadiusz Michał Kowalski ◽  
Jakub Paweł Rybacki

2010 ◽  
Vol 108-111 ◽  
pp. 1308-1313
Author(s):  
Wu Wei Li

Based on the provincial panel data put forward by National Bureau of Statistics of China, over the period 2000-2006, this paper empirically investigates the impacts of different channels for international technological spillovers on regional innovation performance, using regional innovation performance as dependent variable, and the channels for international technological spillovers as independent variables. The empirical results in this paper indicate that learning-by-exporting and learning-by-importing have positive effects on regional innovation performance in China, and that foreign R&D activities by multinational enterprises in China have positive and statistically significant effects on regional innovation performance. In addition, absorptive capability is an important driving factor for increasing the regional innovation performance in China. Research results indicate that both international technological spillover sources and indigenous efforts, including domestic R&D intensity and absorptive capacity jointly determine the regional innovation performance in China.


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