Assessment of the Impact of New Technologies and Human Capital on the Contribution of New Technological Modes to the Economy of the Regions of the Siberian Federal District of the Russian Federation

2018 ◽  
Vol 5 (6) ◽  
pp. 37-40
Author(s):  
Наталия Левкина ◽  
Nataliya Levkina
Keyword(s):  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Siberian Federal District ◽  
Irkutsk Region ◽  
Fixed Assets ◽  
Tomsk Region ◽  
The Russian Federation ◽  
Per Capita ◽  
The Impact

The article presents the results of the analysis of the impact of new technologies and human capital on the contribution of new technological modes in the economy of the Siberian Federal District. Econometric estimates of the impact of new technologies and human capital on the contribution of new technological modes in per capita GRP in the Siberian Federal District`s regions of the Russian Federation were obtained. Elasticity coefficients of the contribution of new modes in per capita GRP due to new technologies evaluated with the capital labor ratio with fixed assets and the use of human capital evaluated with the share of employees having higher education were estimated. The use of new technologies is the most effective in Irkutsk region, Tomsk region, Novosibirsk region, Omsk region and Krasnoyarsk territory. The use of new technologies is inefficient in Trans-Baikal territory, Republic of Buryatia and Republic of Altai. The use of human capital is the most effective in Tomsk region, Irkutsk region and Krasnoyarsk territory. The use of human capital is inefficient in Republic of Buryatia, Republic of Tuva, Republic of Altai, Altai Territory and Trans-Baikal territory. The value of elasticity coefficients determines the necessity of increasing investments in the region either in fixed assets or to increase the share of employees having higher education.

scholarly journals The Impact of New Technologies and Human Capital on the Contribution of New Ways to the Economy of the Regions of the Northwest Federal District

2017 ◽  
Vol 5 (2) ◽  
pp. 43-45 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Komi Republic ◽  
Per Capita Gdp ◽  
Fixed Assets ◽  
Pskov Region ◽  
Per Capita ◽  
The Impact

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways to per capita GDP in regions of Northwest Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament the work equity new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. The use of new technologies is the most effective in St. Petersburg, in the Murmansk, Leningrad regions and in the Komi Republic. Efficiency use of new technologies in the Pskov region is the lowest. The human capital is most effectively in the Komi Republic, the Murmansk and Leningrad regions. Efficiency use of a human capital in the Pskov region is the lowest.

Changes in the Impact of New Technologies and Human Capital on the Contribution of New Ways to the Russian Economy During the Crisis Period

2017 ◽  
Vol 5 (4) ◽  
pp. 27-30 ◽  
Author(s):  
Наталия Левкина ◽  
Nataliya Levkina ◽  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
...  
Keyword(s):  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Gdp Per Capita ◽  
Russian Regions ◽  
Russian Economy ◽  
Fixed Assets ◽  
New Business ◽  
Per Capita ◽  
The Impact

Estimates 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 ratioof work by new fixed assets and on the use of the human capital estimated by a share of busy workers with the higher education during an economic crisis are received. The received results allow estimating the change of efficiency of use of new technologies and the human capital in the country and in regions of Central Federal District during the crisis. In the majority of regions, it corresponds with all-Russian tendencies. However, in several regions elasticity of the contribution of the human capital has not decreased. These are Kaluga, Kostroma, Yaroslavl regions. Elasticity of the contribution of the human capital to GRP provided with new technological ways the Voronezh, Ryazan, Tula regions has significantly increased. In the same regions elasticity of the contribution of new business assets has decreased less considerably, than on average on the Russian regions. Identification of the reasons of this phenomenon demands an additional research.

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.

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.

The Impact of New Technologies and Human Capital on the Contribution of New Ways to the Economy of the Regions Of Russia

2018 ◽  
Vol 5 (6) ◽  
pp. 22-27
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya ◽  
О. Иванова ◽  
...  
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Per Capita Gdp ◽  
Labor Efficiency ◽  
Fixed Assets ◽  
Per Capita ◽  
The Impact ◽  
Regions Of Russia ◽  
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 Russia are obtained. Coefficients of elasticity of the contribution of new ways GDP on the 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. In case of big sizes of coefficients of elasticity of the contribution of new ways to per capita GDP on the 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 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. The effectiveness of increasing the labor-efficiency of labor by new fixed assets and increasing the use of labor of workers with higher education are estimated.

scholarly journals Human capital as the growth factor in regional competitiveness

2018 ◽  
Vol 22 (6) ◽  
pp. 57-69
Author(s):  
Justyna Kogut ◽  
Katarzyna Brożek
Keyword(s):  
Human Capital ◽  
New Technologies ◽  
Highly Qualified ◽  
Method Of Least Squares ◽  
Regional Competitiveness ◽  
Intangible Resources ◽  
Panel Model ◽  
Fixed Assets ◽  
New Directions ◽  
The Impact

In the recent years, the world economy has undergone an enormous transformation. It can be noted that it is not only based on industry, but also on knowledge. Achieving a competitive advantage by regions is further focused on investing in fixed assets, but, what is also important, in human capital. At present, a factor that is increasingly important in achieving competitiveness is the ability to use intangible resources. Expenditures on education and research, investing in people, their knowledge and skills are an essential precondition of raising competitiveness. In the case of a highly qualified staff, it allows the efficient introduction of new technologies and the creation of new directions for its development. The competitiveness of the regions is influenced, inter alia, by human talents, knowledge, entrepreneurship, initiative and own resources to improve living conditions. Human capital is thus a key determinant of the competitiveness of regions in Poland. Therefore, the priority of this article is to analyze the impact of selected components of human capital on the competitiveness of regions in Poland in the years 2007-2014. The article is both theoretical and empirical. The first part reviews the literature closely related to the topic of the work. The second part includes a statistical analysis and a construction of a panel model estimated by the method of least squares. GRETL program was used for calculations. Imię autora*:

Analysis of Labour Efficiency and Human Capital Assessment in the Russian Federation on the Example of Siberian Federal District

2016 ◽  
Vol 4 (1) ◽  
pp. 57-60
Author(s):  
Комарова ◽  
Anna Komarova ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Federal District ◽  
Education Level ◽  
Econometric Models ◽  
Federal State ◽  
Siberian Federal District ◽  
Working Population ◽  
Level Of Education ◽  
The Russian Federation

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.

scholarly journals MIGRATION AND INVESTMENT ACTIVITY IN THE REGIONS OF THE SIBERIAN FEDERAL DISTRICT OF THE RUSSIAN FEDERATION

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Kseniya PARFENOVA ◽  
Olga GUROVA
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Federal District ◽  
Activity Level ◽  
Siberian Federal District ◽  
Investment Activity ◽  
Irkutsk Region ◽  
Social And Economic Development ◽  
Visual Reference ◽  
The Russian Federation

This article analyses the migration and investment activity processes in constituent entities of the Russian Federation located in the Siberian Federal District (SFD). The research was performed on the basis of official statistical data with geographical visual reference. The study was performed in the mono-specialized cities of SFD regions on the basis of official statistics within the context of the creation of Priority Social and Economic Development Areas (PSEDA). A negative migration balance is registered in SFD regions and mono-specialized settlements. Investment activity in SFD territories, their regional potentials and risks were analyzed. Krasnoyarsk Territory, Tomsk Region, Irkutsk Region, Novosibirsk Region, and Kemerovo Region stand out among the SFD regions by their investment activity level and social and economic development. At the current stage of social and economic development, Priority Social and Economic Development Areas can be successfully created in the regions which are the most developed both industrially and innovatively and in the mono-specialized settlements with the most favorable start conditions.

scholarly journals Social risks and their impact on the quality of the human capital of the region

2020 ◽  
Vol 82 (1) ◽  
pp. 389-397
Author(s):  
A. G. Leontieva
Keyword(s):  
Quality Of Life ◽  
Human Capital ◽  
Federal District ◽  
Economic Policies ◽  
The Urals ◽  
Public Authorities ◽  
Social Risks ◽  
The Russian Federation ◽  
The Impact

This article reveals the problem of the quality of human capital in the Russian regions. The relevance of the study is determined by the need for Russia to transition to a new model of economic growth, which is possible only on the basis of full use of human capital. An increased number of social risks that reduce the quality of life of citizens guides public authorities to determine the most important areas in the development of socio-economic policies. Based on official statistics for years 2014–2018, the human development index (HDI) was calculated for the Tyumen region (no autonomous districts included). The value of this indicator was compared with the Federal subjects, included in the Urals Federal District, as well as with the all-Russian indicator. Based on the values of the HDI index, conclusions revealing problems and giving guidelines of the regional socio-economic policy aimed at improving the quality of life of citizens in the Russian Federation and reducing the impact of social risks on it.

scholarly journals Development and Implementation of the Grant Support System for Socially Significant Youth Projects in the Irkutsk Region

2020 ◽  
Vol 30 (3) ◽  
pp. 359-370
Author(s):  
Natalya Khokhlova ◽  
Ilia Mersheev
Keyword(s):  
Federal District ◽  
Information Support ◽  
Educational Organizations ◽  
Siberian Federal District ◽  
Initial Stage ◽  
Comprehensive Information ◽  
Irkutsk Region ◽  
Grant Support ◽  
Efficiency And Effectiveness ◽  
The Russian Federation

This article examines modern trends in state grant support for youth in the Russian Federation. Examples of relevant practices in regions and municipalities are given. The results of the All-Russian competition of youth projects for the last four years are analyzed, including the activity of participation of youth and educational organizations in the regions of the Siberian Federal District. Particular attention is paid to the problem of conducting an expertise of youth projects. Ways of creating and implementing a system of grant support for socially significant youth projects in the Irkutsk region are considered. It means a set of necessary measures to increase the efficiency and effectiveness of the projects implemented in different areas. The importance of combining the goals of grant support with the socio-economic goals of the region is emphasized. The procedure for introducing a system of grant support for youth in the Irkutsk region is proposed. Emphasis is placed on the need for comprehensive information support of the competition not only at its initial stage, but also after its completion.

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