Vladimir M.  Moskovkin, Sizyoongo  Munenge, Larisa V.  Verzunova, Nikolay V.  Kamyshanchenko, Andrey V.  Prizhihalinskiy, Vladimir I.  Shutov, 
    Correlation Relationship Between Scientific-Innovation and
Macroeconomic Indicators in the Selected Russian Regions,
    International Business Management,
    Volume 10,Issue 26,
    2016,
    Pages 6019-6025,
    ISSN 1993-5250,
    ibm.2016.6019.6025,
    (https://makhillpublications.co/view-article.php?doi=ibm.2016.6019.6025)
    Abstract: The study presents a matrix of pairwise correlations for 26 regions of the Central and North-West
Federal Districts of Russia between ten scientific-innovation and macroeconomic indicators comprising a
number of objects of the innovation infrastructure according to two databases, a number of universities,
university potential which had been calculated based on webometric rankings of universities, a number of
scopus-publications in universities of the regions during the year 2015 and in general, the gross regional
product, a number of population, the gross regional product per capita, population density. In all cases there
were obtained high values of pearson’s correlation coefficient. It has been concluded that a high level of
scientific-innovation development of regions is based on a high degree of social-economic development of their
urbanized territories that is the gross regional product and a number of population, rather than the reverse.
    Keywords: Correlation relationship;scientific-innovation indicators;macroeconomic indicators;Scopus publications;gross regional product;population;webometrics;Russian regions;Central Federal district;North-West Federal district;cross correlation matrix;regional innovation infrastructure