@article{MAKHILLIBM2016102627001,
    title = {Correlation Relationship Between Scientific-Innovation and
Macroeconomic Indicators in the Selected Russian Regions},
    journal = {International Business Management},
    volume = {10},
    number = {26},
    pages = {6019-6025},
    year = {2016},
    issn = {1993-5250},
    doi = {ibm.2016.6019.6025},
    url = {https://makhillpublications.co/view-article.php?issn=1993-5250&doi=ibm.2016.6019.6025},
    author = {Vladimir M.,Sizyoongo,Larisa V.,Nikolay V.,Andrey V. and},
    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},
    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.}
    }