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 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.

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 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.

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.

Contribution of the New Post-Industrial Orders in the Per Capita GDP of the European Regions of Russia

2016 ◽  
Vol 4 (6) ◽  
pp. 4-6 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Federal District ◽  
European Regions ◽  
Wide Spread ◽  
North Caucasus ◽  
Per Capita Gdp ◽  
Central Federal District ◽  
The North ◽  
Per Capita ◽  
Post Industrial ◽  
Regions Of Russia

Based on econometric models with the use of Rosstat A. Madison’s data it was found. The spread of new — post-industrial technological structures of the European economy of Russia is uneven. The contribution of new orders in the per capita GRP in the Central Federal District reached 457,581.7 rubles in 2014 and amounted to 62.7% of per capita GRP. The economy of the Central Federal District in the systems of new technological structures used 5-12% of the resources. The contribution of the new orders in the per capita GRP in the Northwestern Federal District in 2014 reached 200 709.6 rubles and amounted to 34.4% of per capita GRP. In the Northwestern Federal District in the systems of new technological ways 4-7% of resources are used. The contribution of the new orders in the per capita GRP in the Southern Federal District has reached 110 661.7 rubles in 2014 and amounted to 28.8% of per capita GRP. In the Southern Federal District in the systems of new technological ways 2-6% of resources are used. In the North Caucasus Federal District the postindustrial technological way are not wide-spread.

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*:

Brazil’s Northeast

2018 ◽  
Author(s):  
Alexandre Rands Barros
Keyword(s):  
Human Capital ◽  
Educational Policy ◽  
Productivity Growth ◽  
Social Groups ◽  
National Average ◽  
Agricultural Export ◽  
Per Capita Gdp ◽  
Poor Region ◽  
Per Capita ◽  
Brazilian Northeast

The Brazilian Northeast is a large poor region, which was the first to be colonized in Brazil. The region experienced some dynamism as a result of its early role as a centre of the agricultural export economy. However, historical and political circumstances resulted in a society in which there was a successive failure to build up the level of human capital level in the region. In particular, low access to political power of disadvantaged social groups prevented the implementation of an inclusive educational policy. This generated low per capita GDP and productivity growth, when compared to the national average. The prospects that some convergence with the national average will occur are only partial and restricted.

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.

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