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Economic Analysis: Theory and Practice
 

Methods to analyze and assess the innovative capacity of socio-economic systems of regions

Vol. 16, Iss. 2, FEBRUARY 2017

PDF  Article PDF Version

Received: 3 November 2016

Received in revised form: 21 November 2016

Accepted: 16 December 2016

Available online: 27 February 2017

Subject Heading: Innovation

JEL Classification: C40, O31, R58

Pages: 260-273

https://doi.org/10.24891/ea.16.2.260

Romanova A.D. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russian Federation
alena_153@mail.ru

Donichev O.A. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russian Federation
donoa@vlsu.ru

Barinov M.A. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russian Federation
3lf84@mail.ru

Importance The article analyzes determinants of innovative capacity of the Central Federal District.
Objectives The purpose of the study is to develop methods to analyze and assess factors characterizing the innovative capacity of regions of the Central Federal District to ensure economic growth and improve well-being of the population.
Methods Using the economic and mathematical methods, we assess factors affecting the formation of innovative capacity of regions of the Central Federal District. We calculate indicators influencing the innovative capacity, and provide a graphical interpretation in the form of a scattering graph, which characterizes the distribution of regional systems.
Results We rank regions of the Central Federal District based on the degree of innovative capacity. The selected criteria for assessment enabled to divide the analyzed regional socio-economic systems into three groups.
Conclusions and Relevance The paper offers an updated classification of regions that allows to identify the focus of the processes under investigation. The developed set of tools for assessment may be used in analytical and practical activities of regional administrations.

Keywords: innovative capacity, region, cluster analysis, factor analysis, ranking

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