Effects of Human Capital on Profits of Russia’s Enterprises and Organizations

2015 ◽  
Vol 3 (5) ◽  
pp. 17-19
Author(s):  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Human Capital ◽  
Labor Productivity ◽  
Educational Level ◽  
Econometric Models ◽  
Capital Assets ◽  
Labor Ratio ◽  
Capital Labor Ratio ◽  
Basic Capital

Through econometric models construction the author evaluates the effects of capital-labor ratio and human capital, where the latter is characterized by the employees’ educational level, on profits of enterprises and organizations, operating in Russia. In 2009 the capital-labor ratio and the human capital, as estimated by the employees’ educational level, could be considered responsible for no less, than 39% of profitability of enterprises and organizations. For the most part this effect is due to the capital-labor ratio, while the lesser, though essential part of the said effect is due to the employees human capital. It is shown, that the elasticity of profit in terms of employees human capital exceeds manifold the profit elasticity in terms of capital-labor ratio, meaning that the effect of changes in human capital level on the labor productivity exceeds manifold that of changes in capital-labor ratio. Therefore, to enhance the human capital through better education of employees is more beneficial, than to increase investments in basic capital assets.

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.

Influence of New Technologies and Human Capital on theContribution of New Ways to Economy of Regions of Central Federal District

2017 ◽  
Vol 5 (4) ◽  
pp. 16-20 ◽  
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Gdp Per Capita ◽  
Labor Ratio ◽  
Capital Labor Ratio ◽  
Fixed Assets ◽  
Per Capita ◽  
A Share

The updated econometric estimates of the influence of new technologies and human capital on the contribution of new technological structures to the per capita GDP in the regions of the Central and North-Western federal districts of Russia are obtained. The article estimates coefficients of elasticity of the contribution of new ways to GDP per capita by the use of the new technologies estimated by capital-labor ratio of work by new fixed assets and by the use of the human capital estimated by a share of busy workers with the higher education. In case of big sizes of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the new technologies estimated by capital-labor ratio of labor by new fixed assets it is reasonable to increase the investments into fixed assets of the region. In case of big sizes of coefficients of elasticity of the contribution of new ways to GDP per capita on the 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.

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.

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.

Growth Paths in the Solow Model with Alternative Trajectories of the Number of Workers

2017 ◽  
Vol 64 (1) ◽  
pp. 21-40
Author(s):  
Katarzyna Filipowicz ◽  
Robert Syrek ◽  
Tomasz Tokarski
Keyword(s):  
Comparative Analysis ◽  
Labor Productivity ◽  
Special Functions ◽  
Error Function ◽  
Solow Model ◽  
Macroeconomic Variables ◽  
Solow Growth Model ◽  
Nonstandard Growth ◽  
Labor Ratio ◽  
Capital Labor Ratio

The aim of the study is a comparative analysis of growth paths of basic macroeconomic variables (labor productivity and capital labor ratio) in the Solow growth model with three alternative assumptions about the trajectory of the number of workers. There are standard trajectory (the number of workers increasing exponentially), logistics trajectory (the number of workers is growing to the certain asymptote) and so-called Gaussian trajectory (the number of workers is similar to the density function of Gaussian distribution). In the result, nonstandard growth paths of macroeconomic variables are defined by certain functions compose with hypergeometric function and Gauss error function (so called Gaussian special functions). Moreover, labor productivity and capital labor ratio for logistic trajectory is growing to asymptote, which is located higher than in the original Solow model. The labor productivity and capital labor ratio for Gaussian trajectory of the number of workers increase to infinity.

The Elasticity of Labor Productivity by Factors of Production in Modern Russia

2020 ◽  
Vol 8 (4) ◽  
pp. 22-25
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Labor Productivity ◽  
Foreign Investment ◽  
Price Index ◽  
Gross Regional Product ◽  
Export Share ◽  
Producer Price ◽  
Labor Ratio ◽  
Capital Labor Ratio ◽  
Regional Product ◽  
Regions Of Russia

The correlation between labor productivity and indicators reflecting the influence of socio-economic and innovative factors in the regions of Russia for 2015-2018 were evaluated. For each year, according to statistics from 82 regions of Russia, econometric models are constructed that allow obtaining elasticity coefficients of labor productivity by capital-labor ratio, foreign investment, average monthly wage, income inequality, producer price index of industrial goods, export share in gross regional product. The prospects of economic policy aimed at increasing labor productivity were estimated.

Production Functions of Labor Productivity in Modern Russia

2020 ◽  
Vol 8 (3) ◽  
pp. 18-22 ◽  
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Income Inequality ◽  
Labor Productivity ◽  
Positive Impact ◽  
Developed Countries ◽  
Export Markets ◽  
Labor Ratio ◽  
Capital Labor Ratio ◽  
Wide Range ◽  
Goods Market ◽  
Regions Of Russia

To identify determinants of labor productivity, correlation relationships of productivity of various indicators was evaluated, reflecting the influence of a wide range of socio-economic and innovative factors in the regions of Russia for 2015-2017. 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 of 82 regions of Russia, econometric models in the form of a well-known standard internal linear function - an analog of the Cobb-Douglas production function are constructed. The obtained models indicate a positive impact on labor productivity, capital-labor ratio, foreign investment, wage levels, income inequality, inflation in industrial goods and export markets. The obtained simulation results showing a significant positive effect on labor productivity exerted by income inequality and the inflation rate on the industrial goods market, which indicates the action of economic mechanisms in the country in developed countries. When performing research, it was found that the positive impact of capital-labor ratio on productivity in 2015-2017 was reduced. This indicates a decrease in the efficiency of use of fixed capital in countries, about the crisis in the country's economy.

Elasticity of Labor Productivity by Production Factors in the Regions of Russia

2020 ◽  
Vol 8 (6) ◽  
pp. 18-21
Author(s):  
Elena Basovskaya ◽  
Leonid Basovskiy
Keyword(s):  
Labor Productivity ◽  
Price Index ◽  
Production Functions ◽  
Regression Equations ◽  
Cross Sectional ◽  
Production Factors ◽  
Labor Ratio ◽  
Capital Labor Ratio ◽  
Regional Product ◽  
Regions Of Russia

On the basis of models of production functions with an explanation level of 80-90%, built using cross-sectional data for the regions of the country, partial values of the coefficients of elasticity of labor productivity by production factors were obtained. Partial (regional) values of the coefficients of elasticity of labor productivity are calculated using the particular regression equations of models of production functions. The factors included the capital-labor ratio, wages, the price index of industrial goods, the coefficient of funds (an indicator of income inequality), the share of exports in the gross regional product. The regions are identified in which these factors have the maximum and minimum impact on labor productivity.

Impact of Human Capital, Science and Innovation on Labour Productivity in Russia

2015 ◽  
Vol 3 (4) ◽  
pp. 37-41
Author(s):  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Human Capital ◽  
Labor Productivity ◽  
Labour Productivity ◽  
Econometric Models ◽  
Cross Sectional ◽  
Russian Economy ◽  
Its Regions ◽  
The Impact

A program and methodology of the empirical study of the effect of human capital, science and innovation on productivity and economic growth are exemplified on modern Russian economy. To identify and quantify the impact of factors related to human capital, innovation, science, labor productivity in the country and its regions the author proposes to build econometric models using cross-sectional data of regional statistics. It makes possible to obtain data and forecast sizes of elasticity of labor productivity on the factors connected with the human capital, science and innovations, the country and its regions. This will generate a reasonable economic policy, policy of education and science aimed at economic growth.

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