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 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.

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.

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.

The Main Factors of Production of the Fifth and Sixth Techno-Economic Paradigms in Modern Russia

2016 ◽  
Vol 4 (5) ◽  
pp. 36-39 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Per Capita Gdp ◽  
Russian Economy ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Main Factors ◽  
Per Capita ◽  
Factors Of Production

The purpose of this study was to obtain estimates of the spread of the new techno-economic paradigm in the Russian economy and the identification of factors of production of new paradigms. We used econometric estimates of the productivity of technical and economic paradigms. It is possible to determine the contribution of the new — the fifth and sixth paradigms in per capita GDP of Russia. In today’s economy a significant part of Russian per capita income — Not less than 220–240 thousand rubles, provided by the fifth and sixth paradigms. The main factors determining the contribution to 84% of new paradigms in per capita GDP, are new technologies and human capital. New technologies are implemented through the use of new fixed assets. The corresponding five and six paradigms of human capital measured by the share of employed workers with higher education.

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.

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.

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*:

Prospects and Opportunities for New Techno-Economic Paradigms — New Technological Modes

2018 ◽  
Vol 6 (1) ◽  
pp. 4-11
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Development ◽  
Harmonic Component ◽  
Developed Countries ◽  
Econometric Models ◽  
Per Capita Gdp ◽  
The Real ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Per Capita ◽  
Regions Of Russia

The model of long-term technical and economic development of industrial and post-industrial economic systems is constructed. The system consists of several subsystems existing simultaneously. Each new subsystem, embodying a new technical and economic mode, provides a higher level of per capita income. The transition to each new stage of technical and economic development — the transition to the predominance, the dominance of the technical and economic paradigm, and the beginning of the spread of a new technical and economic paradigm occurs at the moment when the upward half-wave of the Kondratiev cycle begins to form. To establish the moments of the onset of the upward halfwaves of Kondratiev cycles and the timing of the start of the spread of new techno-economic modes, econometric models of real per capita GDP in developed countries, including a smooth and cyclic (harmonic) component, were constructed. The average duration of the third cycle in these countries was 51.9 years, the fourth cycle — 49.8 years. Because of the construction of econometric models, it was possible to evaluate the productivity of relic, fourth, fifth and sixth technical and economic paradigms in developed countries. The average value of the maximum productivity of the fourth techno-economic mode was 2594 Geri-Hemis $ 1990, the fifth — 12,245 Geri-Hemis $ 1990, the sixth — 25 374 Geri-Hemis $ 1990. The average contribution to the real per capita GDP of relict modes and the fourth mode in the period of its domination was 5004 Geri-Hemis $ 1990, which corresponds to the value of 161,379 rubles. 2008. The excess of this value in Russia provided isdue to the spread of the fifth technical and economic mode. Its significant contribution to the real per capita GDP of the country began to observe since 2001 and by 2015 reached 47%. Modeling the period of the contribution of the fifth paradigm to Russia’s per capita GDP made it possible to predict the transition to its dominance in 2040. The forecast of the transition to the domination of the fifth mode in the regions of Russia is to include this time from 2010 to 2200. Construction of production functions based on data on per capita GRP over the years made it possible to establish that investment in fixed assets and an increase in the share of employed persons with a higher education can accelerate the spread of the fifth techno-economic mode and have received estimates of their effectiveness in the regions of Russia. A feature of the regions in which new modes did not receive proliferation was the low capitalization of new fixed assets and the increased number of employees of territorial bodies of federal executive bodies.

scholarly journals Human Capital Development and Macroeconomic Performance in Nigeria: An Autoregressive Distributed Lag (ARDL) Approach

ETIKONOMI ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 185-196
Author(s):  
Olukayode Emmanuel Maku ◽  
Emmanuel Ogbonna Ajike ◽  
Solomon Chimereze Chinedu
Keyword(s):  
Human Capital ◽  
Negative Relationship ◽  
Macroeconomic Performance ◽  
Human Capital Development ◽  
Per Capita Gdp ◽  
Distributed Lag ◽  
Short Run ◽  
Per Capita ◽  
Capital Development ◽  
The Impact

Developed nations continue to invest heavily in the development and training of their human resources. Huge budgetary allocations show it to education and health, yet Nigeria’s human capital development policy has only been effective on paper. This study examined the impact of human capital development on the macroeconomic performance of Nigeria. Using the autoregressive distributed lagged (ARDL) model, this study shows an insignificant negative relationship between human capital development and per capita GDP in the short run. The results also showed that only the tertiary enrolment rate significantly and positively improved per capita GDP within the period under review. The study concluded that the government’s efforts aimed at boosting human capital have been insufficient.JEL Classification: O47, J11, J24

scholarly journals Educación superior y crecimiento económico en Colombia (1971-2016): una relación de cointegración.

2018 ◽  
Author(s):  
Brayan Alexander Baron Ortegon
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Growth Rate ◽  
Human Capital ◽  
Tertiary Education ◽  
Gdp Per Capita ◽  
Vec Model ◽  
Long Run ◽  
Per Capita ◽  
The Impact

This article analyzes the relation between GDP per capita (CPIBpc) and access to tertiary education, seen from the perspective of growth rate of the number of enrollments (TCMes) in higher education in Colombia for the period (1971-2016). By using a VEC model and assuming everything else constant, it is concluded that TCMes Granger caused the Colombian GDP per capita and vice-versa, therefore, the existence of a long run relation between both variables is verified. This result helps to explain the dynamics of Colombian economic growth per capita of the last forty-five years and the impact of the accumulation of human capital on it.

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