The Factor Productivity in the Pre-crisis Russian Economy

2015 ◽  
Vol 3 (3) ◽  
pp. 19-23 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Human Capital ◽  
Labor Productivity ◽  
New Technologies ◽  
Institutional Environment ◽  
General Level ◽  
Factor Productivity ◽  
Russian Economy ◽  
Production Factors ◽  
Main Production ◽  
The Impact

To evaluate the factor productivity in the pre-crisis economy the econometric models were built. From the general level determination of the labor productivity models of 77.8%, the share of capital is 67%, the share of human capital — 8.4%, the share of new technologies — 1.4%. Effect of changes in the level of human capital on productivity surpasses the effect of changes in capital and the degree of diffusion of new technologies. In the pre-crisis period, the influence of the main production factors on the labor productivity was significantly decreased. The new tecnology have ceased to influence on productivity in general. The recession factor productivity in the country in the period 2010- 2013 may due to the formation under the impact of the adopted laws for the economic growth adverse institutional environment.

The Influence of the Factors of Production on Labor Income in the Pre-crisis Economy of Russia

2015 ◽  
Vol 3 (3) ◽  
pp. 9-13 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
New Technologies ◽  
Institutional Environment ◽  
Econometric Models ◽  
Labor Income ◽  
Production Factors ◽  
Main Production ◽  
Basic Production ◽  
The Impact

The econometric models constructed in work have established the basic production factors determining the level of the labor income in the country. Capital-labor, human capital and new technologies in 2010-2013 explained 71.6% of the labor income in the country. The effect of changes in the level of human capital on labor income surpasses the impact of changes and the degree of capital-diffusion of new technologies. In the pre-crisis period, the influence of the main production factors on the income of the employed population of Russia has declined under the influence of pass laws that formed unfavorable for economic development institutional environment.

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.

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 The Change of Sources of Growth and Sustainable Development in China: Based on the Extended EKC Explanation

2021 ◽  
Vol 13 (5) ◽  
pp. 2803
Author(s):  
Huaide Wen ◽  
Jun Dai
Keyword(s):  
Sustainable Development ◽  
Human Capital ◽  
Environmental Pollution ◽  
Knowledge Economy ◽  
Technological Progress ◽  
Inflection Point ◽  
Physical Capital ◽  
Production Factors ◽  
Main Production ◽  
Traditional Economy

This paper extends the “sources of growth” explanation for the Environmental Kuznets Curve (EKC) proposed by Copeland and Taylor in a concise theoretical framework, that is, when the sources of growth are transformed from physical capital and labor to human capital and knowledge, the environmental pollution could at first rise and then fall with a sustainable growth in per capita income. Using the provincial panel data from 1995 to 2017 in the mainland of China, an empirical analysis is carried out by the System Generalized Method of Moment (sys-GMM). The results show that: first, the EKC hypothesis exists in China. The inflection point for SO2 emissions has been passed in all of the provincial regions, and for CO2 and comprehensive environmental pollution losses have not been passed in some regions, but the inflection point from the national average level in China has been passed; second, the main production factors of the traditional economy, physical capital and labor, are positively correlated with environmental pollution, while human capital and green technological progress, the main production factors of the knowledge economy, are negatively related to environmental pollution; third, human capital and green technological progress have become important factors to promote economic growth, and human capital, in particular, has become the primary factor, which indicates that China is in the process of transforming traditional economy into a knowledge economy. The stage of China’s economic development and the trend of environmental pollution is consistent with the extended “sources of growth” explanation for the EKC, which proved the theoretical hypothesis. This has an important practical significance for China’s current economic reform and important theoretical value for the economic transformation and sustainable development of developing countries. The paper finally puts forward corresponding policy recommendations.

scholarly journals Econometric models for estimating current and forecast values of the level of human capital development in the Russian economy

2020 ◽  
Vol 26 (1) ◽  
pp. 52-67
Author(s):  
Nina Baranova ◽  
Sergey Larin ◽  
Evgeny Khrustalyov
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Negative Impact ◽  
Import Substitution ◽  
Econometric Models ◽  
Practical Significance ◽  
Human Capital Development ◽  
Russian Economy ◽  
Capital Development ◽  
The Impact

Studies of factors of sustainable economic development in modern conditions are highly relevant for Russia due to the constant increase and tightening of sanctions restrictions. They have a negative impact on the introduction of innovative developments and economic growth, and reduce the competitiveness of Russian enterprises and their products on world markets. Human capital can become one of the key factors for countering sanctions restrictions, improving the efficiency of economic development and gaining additional competitive advantages for domestic enterprises and the economy as a whole. Assessing the impact of human capital on the sustainable development of the economy is difficult, since it is one of the specific forms of capital. When making appropriate measurements, economic scientists rely on a number of developed theoretical methods and practical tools that support them, which allow us to obtain fairly accurate values of the human capital development index (HDI) based on statistical data. First of all, this is the current UN methodology for calculating the HDI indicator, as well as modern software systems OriginPro-8.6 and Eviews-10.0, which have sufficiently advanced functionality for performing calculations. Russia today has all the necessary prerequisites and opportunities for progressive social and economic development. However, the formation of econometric models will help to timely determine the current and forecast values of the level of human capital development for individual enterprises, industries, and the country’s economy as a whole. This paper shows the practical application of the econometric tools of all the above approaches to obtain the calculated values of the HDI indicator for different time periods and different scenarios for the development of the Russian economy. The results obtained confirmed the high practical significance of the tools used and the acceptable accuracy of the calculations. However, the current and forecast values of the level of human capital development alone will not be able to ensure the effective development of the Russian economy. On the contrary, the effective use of human capital in the implementation of import substitution strategies and national projects will allow our country to become one of the world’s leading economic development countries.

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 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*:

Breakthrough Technologies: New Directions in Economic and Social Development

2021 ◽  
Vol 26 (11) ◽  
pp. 1227-1235
Author(s):  
V. D. Ardzinov ◽  
N. V. Chepachenko ◽  
A. A. Leont’ev
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Growth And Development ◽  
Industrial Revolution ◽  
New Technologies ◽  
Technological Development ◽  
Managerial Decision ◽  
Russian Economy ◽  
The Impact

The presented study examines the comparative characteristics of industrial revolution targets, national goals, and strategic objectives for the development of the Russian economy; proposes methods for measuring and evaluating technological development; describes its impact on economic growth and shows the performance of enterprises.Aim. The study aims to determine the specific features of formation of economic and social development targets and the potential of new technologies, including breakthrough technologies, for shaping the technological development of the Russian economy; to propose methods for measuring and evaluating technological development and its impact on the growth and development of the national economy that would improve the quality of economic and managerial decision-making.Tasks. The authors clarify the interpretation of the concept of breakthrough technologies; identify distinctive features in the formation of industrial revolution targets and priority targets for the development of the Russian economy; substantiate methodological approaches to identifying parameters and indicators, methods for measuring and evaluating the level of technological development, its impact on the results of changes in economic growth and development of the national economy and its economic entities.Methods. The authors use the methods of scientific research, theoretical and comparative analysis, synthesis, generalization, general theory of economic growth, and elements of the economic efficiency theory.Results. The interpretation of breakthrough technologies as dominant new technologies that can ensure accelerated progressive development of the economy and minimize damage to the natural environment is clarified. The distinctive features of formation of industrial revolution targets and their relationship with the targets for the development of the Russian economy are identified. Evaluative features are substantiated; indicators for measuring and evaluating the transformation of the technological development of enterprises engaged in different activities and indicators for measuring and evaluating the impact of new technologies, including breakthrough technologies, on economic growth and development are proposed. The influence of the recommended measurement and evaluation methods on improving the quality of management decisions is shown.Conclusions. The study substantiates the need to improve methods for assessing the actual achieved (projected, planned) level of technological development as a necessary prerequisite for its qualitative analysis, evaluation, control, and monitoring required to make sound economic and managerial decisions. The proposed methods for measuring and evaluating technological development, measuring and evaluating the impact of new technologies, including breakthrough technologies, on the quality of economic growth, efficiency and competitiveness of the national economy (region, industry, activity, enterprises) improve the quality of managerial decision-making in achieving national goals for the development of the national economy.

The impact of human capital on regional labor productivity in Europe

2009 ◽  
Vol 2 (2-3) ◽  
pp. 97-108 ◽  
Author(s):  
Manfred M. Fischer ◽  
Monika Bartkowska ◽  
Aleksandra Riedl ◽  
Sascha Sardadvar ◽  
Andrea Kunnert
Keyword(s):  
Human Capital ◽  
Labor Productivity ◽  
Regional Labor ◽  
The Impact

The Dynamic Correlation Between Capital Deepening and Total Factor Productivity in China

2020 ◽  
Vol 24 (4) ◽  
pp. 524-531
Author(s):  
Wuliu Zhang ◽  
Keyword(s):  
Human Capital ◽  
Total Factor Productivity ◽  
Negative Impact ◽  
Positive Impact ◽  
Linear Structure ◽  
Physical Capital ◽  
Influence Coefficient ◽  
Factor Productivity ◽  
Capital Deepening ◽  
The Impact

The impact of capital deepening on total factor productivity (TFP) is a significant and controversial issue. Based on the calculation of relevant indicators, this study adopts a Bayesian time-varying parameter model, Bayesian quantile regression, and adaptive Bayesian quantile models for in-depth statistical analysis. TFP was found to have a complex non-linear structure, and physical and human capital deepening indicators show a significant upward trend. The deepening of physical capital has a negative impact on TFP, while the deepening of human capital has a positive impact. In the capital deepening structure, the level of TFP has been improved and its structure optimized. Primary human and non-production physical capital deepening has no significant effect on TFP, while secondary human capital deepening has some significant effects on TFP. Tertiary and productive human capital deepening of TFP present two different forms of significant effect: the influence coefficient of the former declines in the increasing quantile and the change is larger, while the latter has a stable negative impact. The results of this study provide insights in terms of the improvement of China’s productivity.

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