Towards convergence in national and regional innovation performance

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

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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