TY  - JOUR
T1  - Correlation Relationship Between Scientific-Innovation and
Macroeconomic Indicators in the Selected Russian Regions
AU - Moskovkin, Vladimir M. AU - Munenge, Sizyoongo AU - Verzunova, Larisa V. AU - Kamyshanchenko, Nikolay V. AU - Prizhihalinskiy, Andrey V. AU - Shutov, Vladimir I. 
JO  - International Business Management
VL  - 10
IS  - 26
SP  - 6019
EP  - 6025
PY  - 2016
DA  - 2001/08/19
SN  - 1993-5250
DO  - ibm.2016.6019.6025
UR  - https://makhillpublications.co/view-article.php?doi=ibm.2016.6019.6025
KW  - Correlation relationship
KW  -scientific-innovation indicators
KW  -macroeconomic indicators
KW  -Scopus publications
KW  -gross regional product
KW  -population
KW  -webometrics
KW  -Russian regions
KW  -Central Federal district
KW  -North-West Federal district
KW  -cross correlation matrix
KW  -regional innovation infrastructure
AB  - 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.
ER  -