On the Influence of Production Factors on Labor Productivity in the Regions of the Central Federal District of Russia

2020 ◽  
Vol 8 (5) ◽  
pp. 40-45
Author(s):  
Elena Basovskaya ◽  
Leonid Basovskiy
Keyword(s):  
Distribution Function ◽  
Income Distribution ◽  
Labor Productivity ◽  
Federal District ◽  
Scientific Activity ◽  
Econometric Models ◽  
Export Activity ◽  
Central Federal District ◽  
Production Factors ◽  
Fixed Assets

On the basis of econometric models of labor productivity in the regions of the Central Federal District, estimates of private - regional coefficients of labor productivity elasticity by productivity factors were obtained. Fixed assets are used most effectively in the Belgorod and Moscow regions and in Moscow. The least efficient use of fixed assets is in the Ivanovo, Bryansk and Tver regions. Mechanisms for stimulating labor productivity associated with inequality in income distribution function most effectively in Belgorod, Moscow regions and in Moscow. Mechanisms for stimulating labor productivity associated with inequality of income distribution are the least effective in Ivanovo and Bryansk regions. The most effective scientific activity is in the Belgorod and Moscow regions and in Moscow. The least effective scientific activity is in the Ivanovo and Bryansk regions. The most effective export activity is in the Belgorod and Moscow regions and in Moscow. The least efficient export activities are in Ivanovo, Bryansk and Kostroma regions.

The Influence of Socio-Economic and Innovative Factors on Labor Productivity in the Central Federal District

2019 ◽  
Vol 7 (6) ◽  
pp. 20-22
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Labor Productivity ◽  
Foreign Investment ◽  
Federal District ◽  
Transport Infrastructure ◽  
The Internet ◽  
Cross Sectional ◽  
Central Federal District ◽  
Fixed Assets ◽  
Increase Productivity ◽  
Academic Degrees

In order to identify the influence of socio-economic and innovative factors on labor productivity, econometric models were built based on cross-sectional statistics from the regions of the Central Federal District. It has been established that in order to increase productivity, it is necessary to increase investment in new fixed assets, foreign investment, the number of workers with higher education, the level of wages, develop transport infrastructure, expand the use of computers and the Internet, the number of researchers with academic degrees. In addition, the number of employees of territorial executive bodies should reduce, the number of university students and scientists with academic degrees should increase, the innovative activity of organizations should increase, and exports should be stimulated.

Labor Productivity Elasticity by Production Factors in the Central Federal District of Russia

2020 ◽  
Vol 8 (4) ◽  
pp. 12-16 ◽  
Author(s):  
Elena Basovskaya ◽  
Leonid Basovskiy
Keyword(s):  
Labor Productivity ◽  
Positive Impact ◽  
Federal District ◽  
Developed Countries ◽  
Central Federal District ◽  
Production Factors ◽  
Labor Ratio ◽  
Capital Labor Ratio ◽  
Wide Range ◽  
Positive Effect

To identify the determinants of labor productivity, correlation between labor productivity and various indicators were evaluated, reflecting the influence of a wide range of socio-economic and innovative factors in the regions of Russia for 2015-2018. It has been established that many indicators characterizing socio-economic and innovative factors do not have a significant relationship with labor productivity and are multicollenarity (they have correlation relationships among themselves). For each year, according to statistics from the regions of the Central Federal District of Russia, econometric models constructed in the form of a well-known standard internal linear function - an analogue of the Cobb-Douglas production function. The obtained models testify to a positive impact on the labor productivity of the capital-labor ratio, the level of export, the level of income distribution inequality, the number of workers engaged in research and development, which indicates the contribution of science to the spread of new technological structures in the economy. A significant positive effect on labor productivity of income inequality testifies to the action in the country of economic mechanisms operating in developed countries.

The Main Factors of Labor Productivity in the Regions of the Central Federal District

2019 ◽  
Vol 7 (6) ◽  
pp. 4-8
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Labor Productivity ◽  
Federal District ◽  
Transport Infrastructure ◽  
Information Economy ◽  
Foreign Investments ◽  
Advanced Degrees ◽  
Central Federal District ◽  
Fixed Assets ◽  
Negative Effect ◽  
School Graduation

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.

Human Capital and Labor Productivity in North Caucasian Federal District of Russia

10.12737/7810 ◽  
2015 ◽  
Vol 3 (1) ◽  
pp. 31-35
Author(s):  
Комарова ◽  
Anna Komarova ◽  
Кальянов ◽  
Aleksandr Kalyanov
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Labor Productivity ◽  
Federal District ◽  
Education Level ◽  
Econometric Models ◽  
The North ◽  
Development Analysis

A technique based on Russia regions’ economic development analysis (on the example of human capital and labor productivity in the North Caucasian Federal District of Russia) by means of creation of econometric models related to labor productivity in regions of the North Caucasian Federal District of Russia has been realized. It has been shown that such a factor as an employed population’s education level is the important one in determining the labor productivity in the regions of the North Caucasian Federal District of Russia.

Human Capital and Labor Productivity in the North-West Federal District of Russia

10.12737/6728 ◽  
2014 ◽  
Vol 2 (6) ◽  
pp. 12-14
Author(s):  
Комарова ◽  
Anna Komarova
Keyword(s):  
Human Capital ◽  
Labor Productivity ◽  
Federal District ◽  
Education Level ◽  
Econometric Models ◽  
North West ◽  
The North

A technique based on implementing of labor productivity’s econometric models in regions of the North-West Federal District of Russia has been realized. It has been shown that such a factor as employed population’s education level is significant in labor productivity determining in the regions of the North-West Federal District of Russia.

Human Capital Influence on Labor Productivity in Far Eastern Federal District

10.12737/7812 ◽  
2015 ◽  
Vol 3 (1) ◽  
pp. 48-50
Author(s):  
Комарова ◽  
Anna Komarova
Keyword(s):  
Human Capital ◽  
Labor Productivity ◽  
Federal District ◽  
Education Level ◽  
Econometric Models ◽  
Far Eastern

A technique based on development of econometric models related to labor productivity in regions of the Far Eastern Federal District of Russia has been realized. It has been shown that such a factor as an employed population’s education level is the important one in determining the labor productivity in the regions of the Far Eastern Federal District of Russia.

scholarly journals Influence of New Technologies and Human Capital on a Contribution of New Ways to Economy of Regions of Central Federal District

2017 ◽  
Vol 5 (2) ◽  
pp. 39-42 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Per Capita Gdp ◽  
Central Federal District ◽  
Fixed Assets ◽  
Per Capita ◽  
A Share

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways GDP in regions of Central Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways GDP on use of the new technologies estimated by armament of work by new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. Use of new technologies is more effective in the Belgorod, Kursk, Vladimir and Lipetsk regions. Efficiency use of new technologies in the Kostroma, Ivanovo, Tver, Tambov regions is the lowest. The human capital is effectively in the Belgorod and Lipetsk regions, in Moscow. Efficiency use of a human capital in the Oryol, Ivanovo, Tambov, Bryansk and Kostroma regions is the lowest. In case of big sizes of coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament of work by new fixed assets it is reasonable to increase, first, investments into fixed assets of the region. In case of big sizes of coefficients of elasticity of a contribution of new ways to per capita GDP on use of the human capital estimated by a share of busy workers with the higher education it is reasonable to increase, first of all, a share of workers with the highest education.

scholarly journals Identification of concentration points of finance and investment resources in the regions

2019 ◽  
Vol 110 ◽  
pp. 02146
Author(s):  
Maria Rakhova ◽  
Maria Zakirova
Keyword(s):  
Development Strategy ◽  
Research Method ◽  
Political Influence ◽  
Federal District ◽  
Production Factor ◽  
Technological Innovations ◽  
Economic Systems ◽  
Resource Potential ◽  
Central Federal District ◽  
Fixed Assets

The purpose of the paper is to assess the sufficiency of the financial and investment resources of the territory to increase its potential, and the possibility of the overflow of this resource to neighboring socio-economic systems. The study substantiates the need to identify the resource potential of the regions in order to determine opportunities for their development and reduce dependence on external economic and political influence. In the paper, in particular, the sufficiency of financial and investment resources of the central federal district is determined, which include the production factor “capital”, including investments in fixed assets, costs for research and development and technological innovations. The research method is based on the normalization, correlation and factor analysis of the initial data, and consists in calculating the accumulation norms and coefficients of significance of the selected resources. The results of identifying concentration points can be applied in the future to assess the prospects for economic development of the regions of the central federal district. The results of research can be useful to federal and regional executive authorities for the formulation and adjustment of the planned development strategy.

scholarly journals Czynniki wytwórcze w branży przetwórstwa rybnego w Polsce w okresie poakcesyjnym

2019 ◽  
Vol 106 (1) ◽  
pp. 51-61
Author(s):  
Sebastian Kubala
Keyword(s):  
Labor Productivity ◽  
Total Expenditure ◽  
Fish Processing ◽  
Processing Industry ◽  
Capital Productivity ◽  
Production Factors ◽  
General Growth ◽  
Fixed Assets ◽  
Production Growth

The study of the level and dynamics of changes of productivity of individual sectors allows to evaluate possible effectiveness of the resources used as well as identification of sources of production growth. It shows the extent to which changes in the level of the industry is dependent on factors of work and capital. The aim of the work was to study the efficiency of production factors in the fish processing industry in Poland in the years 2005-2016. To determine the rate of changes of the efficiency of the production factors there were indicators used that were based on production, employment and gross value of fixed assets. The study showed that in the fish processing industry there was a general growth tendency of labor productivity. There were also observed adverse changes in capital productivity. The greater impact on the level of production has a capital factor than the level of employment. In addition, the value of production increased at a rate faster than the total expenditure of factors shaping it.

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