Open AccessFactor analysis of innovation activity of companies in the Russian Federation
Author(s) -
Леденёва Марина Викторовна,
Мишура Наталья Амировна
Publication year - 2020
Publication title -
teoretičeskaâ i prikladnaâ èkonomika
Language(s) - English
Resource type - Journals
ISSN - 2409-8647
DOI - 10.25136/2409-8647.2020.4.34785
Subject(s) - commercialization , principal (computer security) , business , novelty , russian federation , principal component analysis , performance indicator , economic indicator , marketing , industrial organization , computer science , economics , statistics , mathematics , psychology , social psychology , macroeconomics , economic policy , operating system
This research is aimed at determination and interpretation of the factors that influence the indicator values of innovation activity of enterprises in the Russian Federation. The author sets the following goals: carry out factor analysis of innovation activity of companies in the Russian Federation using the method of principal components and maximum likelihood; determine and interpret the factors; compare the acquired results; develop recommendations on improvement the composition of statistical indicators used for efficiency assessment of innovation activity of companies on meso- and macro levels. The empirical basis contains the data provided by Rosstat on 10 indicators for the period from 2009 to 2016 (657 observations). The scientific novelty consists in identification of latent generalizing characteristics and correlations between the indicators used for assessing the innovation activity of companies in the Russian Federation. Both methods, of principal components and principal factors, allowed similarly distinguishing the two factors: via the method of principal components: development of science in the region and specialization of the region in high-tech industries; via the method of principal factors: research organizations in the region, their number and indicators; specialization of the region in high-tech industries. The second factor reflects commercialization of research and development. A relatively small number of indicators is used for assessing commercialization of research and development. The author notes the lack of statistical data for assessing the efficiency of innovation activity of companies. The statistical indicators of innovation activity of enterprises should include the economic effect indicators. This would allow using the performance indicators of research and development not only on micro-, but also meso - and macro-levels in elaboration and assessment of measures stimulating innovation activity of businesses at the country level.