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

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.

10.12737/7810 ◽  
2015 ◽  
Vol 3 (1) ◽  
pp. 31-35
Author(s):  
Комарова ◽  
Anna Komarova ◽  
Кальянов ◽  
Aleksandr Kalyanov

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.


10.12737/6728 ◽  
2014 ◽  
Vol 2 (6) ◽  
pp. 12-14
Author(s):  
Комарова ◽  
Anna Komarova

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.


2016 ◽  
Vol 4 (1) ◽  
pp. 57-60
Author(s):  
Комарова ◽  
Anna Komarova ◽  
Басовский ◽  
Leonid Basovskiy

With the use of regression analysis, we calculated the elasticity of labor efficiency by education level of the employed population. The analysis included regional data from the Federal State Statistics Service of Russia. The implemented methodology is based on econometric models of labour productivity in the regions of the Siberian Federal District of Russia. It is shown that the level of education of the working population is a significant factor in determining the productivity of labour in the regions of the Siberian Federal District of Russia.


Author(s):  
Marina N. Khramova ◽  
◽  
Dmitry P. Zorin ◽  
◽  

In the current geopolitical conditions and fierce competition in world markets from such dy-namically developing countries of the Asia-Pacific region as China, Vietnam, Thailand, Singapore and a number of others, the preservation and increase of human capital in the regions of the Far Eastern Federal District is of a strategic nature. To ensure the national security and integrity of the country, to strengthen Russia's position in the Asia-Pacific area, the role of the Far East regions comes to the fore. However, the pronounced processes of depopulation of the population of the Far East regions and the stable migration outflow of the working-age population to other regions of Russia and abroad call into question the implementation of many tasks for the sustainable socio-economic development of this macro-region. The regions of the Far Eastern Federal District are already experiencing a shortage of qualified personnel in several industries. This deficit, in the absence of a governmental long-term strategy in the field of human capital formation, will not allow Russia to compete with the fast-growing economies of Asia-Pacific countries in the future. In this article, we analyze the opportunities and potential risks of human capital development through the prism of demographic processes occurring in the regions of the Russian Far East. Based on modern data on fertility, mortality, age-sex structure of the population, trends in interregional and international migration we conclude that for the growth of human capital and sustainable economic growth, the necessary conditions are: the development of transport and social infrastructure of the macro-region, the development of programs of labor mobility of the popu-lation, attracting young people through the educational migration channel, attracting international migrants from the CIS countries as well as from Asia-Pacific countries with a level of education and qualifications corresponding to the economic specialization of the regions of the Far Eastern Federal District.


2020 ◽  
Vol 176 ◽  
pp. 06006
Author(s):  
Victoria Kalitskaya ◽  
Andrey Pustuev ◽  
Olga Rykalina ◽  
Irina Perminova ◽  
Olga Mustafina

The article presents the author’s calculations of the labor sphere state of rural areas of the Ural Federal District (Russia). It is substantiated that labor (human) capital is the most important element of ensuring the functioning of the entire agrarian sphere. The estimation of labor productivity in the agricultural sector, the rate of wage growth, as well as relative social and labor indicators of the agricultural direction to the general economic is conducted. The authors consider the ratio of agrolabor productivity growth and decrease in the number of workers in this sphere, which is associated with a number of factors, resulting in the construction of a system of sociolabor factors interaction contributing to the development of rural areas, based on analytical data


Author(s):  
Artem S. Lukyanets ◽  
◽  
Roman V. Manshin ◽  

The article examines the main factors in the formation of human capital in the regions of the Far Eastern Federal District. The article discusses in detail the main indicators that form the integral human development index, developed by the specialists of the United Nations Development Program. The key characteristics of socio-economic processes were identified, an analysis of the most important economic indicators of the studied subjects of the Russian Federation was given. It was found that one of the most important components of human capital is the social and economic stability of society. In the regions of the Far East, on the whole, an unfavorable socio-economic situation has developed, which directly affects human capital. It was found that, despite the higher level of income compared to the average for Russia, the real incomes of residents, adjusted for the cost of living in the considered regions, turned out to be lower than in Russia. An important factor in the development of human capital is the life expectancy of the population, which in the regions of the Far East is below the national average and does not reach the planned targets set by the Concept of the Demographic Policy of the Far East for the period up to 2025. It has been established that the main contribution is made by external causes of death in the male working-age population in the most sparsely populated regions, characterized by a low level of development of medical infrastructure and its availability. Another factor in the development of human capital is the level of education of the population. The development of this factor in the Far East repeats the all-Russian trajectory, maintaining the tendency to reduce the number of educational institutions at all levels, an increase in the number of students in programs of primary secondary and complete education is recorded. The persistence of such trends, together with changes in the age structure of the population, can negatively affect the development of human capital in the regions of the Far East.


2015 ◽  
Vol 3 (5) ◽  
pp. 17-19
Author(s):  
Басовская ◽  
Elena Basovskaya

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.


2020 ◽  
Vol 8 (5) ◽  
pp. 40-45
Author(s):  
Elena Basovskaya ◽  
Leonid Basovskiy

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.


2021 ◽  
Vol 17 (3) ◽  
pp. 888-901
Author(s):  
Sergey G. Shulgin ◽  
Yulia V. Zinkina

A quantitative assessment of human capital is necessary for both understanding society and implementing effective socio-economic policies. In the present paper, a new approach — the Human Life Indicator (HLI) — was implemented to measure inequality in life expectancy. The Human Development Index (HDI), proposed by the United Nations, does not take into account significant internal inequalities of countries with the same or similar life expectancy. On the contrary, HLI reflects the well-being in terms of years of life, additionally considering the inequality in life expectancy. Presented calculations were based on federal mortality statistics. This study estimated human development of Russian federal districts by comparing HDI and HLI. The analysis revealed that high HDI values, achieved, for example, due to a high gross regional product (GRP) per capita, do not translate into an improvement in the quality of life for the majority of the population. Such situation is observed in the Far Eastern Federal District. The regions that are relatively prosperous in terms of HLI are concentrated in the European part of Russia and the North Caucasus Federal District. Simultaneously, most Siberian and the Far Eastern regions, characterised by high inequality in life expectancy, require the attention of federal and regional authorities. The presented approach to assessing the success of regional development can be used to estimate how the ongoing socio-economic policy and health care reforms influence the quality of life in the regions. This method can also be applied to compare inter-regional indicators of human capital and monitor changes in well-being of the population.


2015 ◽  
Vol 3 (4) ◽  
pp. 37-41
Author(s):  
Басовская ◽  
Elena Basovskaya

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.


Sign in / Sign up

Export Citation Format

Share Document