Geomodeling of innovation space as a technology for identifying consistent regional innovation systems: The case of Russia

2021 ◽  
Author(s):  
Yu V. Preobrazhenskiy
Author(s):  
M. Yu. Afanasiev ◽  
M. A. Lysenkova

Currently, there is a tendency to evaluate the innovation system at the national level. Qualitative inter-country comparison requires quantitative and qualitative assessment of the factors influencing the innovation activity of the region. The purpose of this work was to justify quantitatively the impact of science and business on the innovation activity of the region. International patent applications are selected as an indicator reflecting the result of innovation activity in the region. Statistical hypothesis testing is carried out in this paper. The dependence between the results of innovation activity and innovation space of the region is confirmed by the methods of econometric modeling. The innovation space of the region is described in the work as a set of potential links between business and organizations that create new knowledge. The study used the official statistics of the regions of such countries as Russia, Switzerland, USA, China and Japan. Estimates of parameters of national and regional innovation systems of the Russian Federation, Switzerland, the USA, China and Japan are received by methods of econometric modeling. It is shown that the assessment of elasticity and technical efficiency of the innovation space of the region indicate the development of the innovation system. In the considered time range it is established that the Pareto-optimality property is possessed by the parameters of innovation systems of Japan, China and Switzerland. Estimates of the technical efficiency of the innovation space for a total of 190 regions according to 2012, a comparative analysis of the countries on the basis of the estimates. The paper provides a rationale for the use of parametric descriptions of national and regional innovation systems. This description can be used for cross-country comparison of the impact of science and business on the results of innovation activity, clustering of national innovation systems.


2011 ◽  
Vol 12 (5) ◽  
pp. 231-254
Author(s):  
Mie Jung Kim ◽  
Chae,Dae-Seok

2011 ◽  
Vol 90 (2) ◽  
pp. 243-249 ◽  
Author(s):  
Thomas Brenner ◽  
Uwe Cantner ◽  
Dirk Fornahl ◽  
Martina Fromhold-Eisebith ◽  
Claudia Werker

Sign in / Sign up

Export Citation Format

Share Document