Tula, Tula, Russian Federation
Tula, Tula, Russian Federation
The transition to a postindustrial — information economy is capable of ensuring multiple growth in labor productivity. Until now, there is unequivocal opinion on the system of factors of economic growth and increase in labor productivity; research results are often contradictory. To identify factors that determine labor productivity, a correlation analysis of the relationships between labor productivity and indicators characterizing socio-economic and innovative factors in the regions of the Central Federal District is performed. It was revealed that in 2015, 2016 and 2017 labor capital, non-obsolete fixed assets, investments in fixed assets, foreign investments, employed workers with higher education, the level of wages and income inequality, the number of students, the development of transport infrastructure, the use of computers and the Internet, the number of employees engaged in scientific research developments, including those with advanced degrees, graduate school graduation, innovative activity of organizations, and exports had a significant effect. The number of employees in government bodies has a negative effect. The multicollenarity of the indicators characterizing the tested factors will allow us to consider that half of the identified factors are independent.
information economy, labor productivity, productivity factors, regional statistical data, correlation analysis, multicollenarity of factors
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