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

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.

2019 ◽  
Vol 7 (6) ◽  
pp. 4-8
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya

The transition to a postindustrial — information economy is capable of ensuring multiple growth in labor productivity. Until now, there is unequivocal opinion on the system of factors of economic growth and increase in labor productivity; research results are often contradictory. To identify factors that determine labor productivity, a correlation analysis of the relationships between labor productivity and indicators characterizing socio-economic and innovative factors in the regions of the Central Federal District is performed. It was revealed that in 2015, 2016 and 2017 labor capital, non-obsolete fixed assets, investments in fixed assets, foreign investments, employed workers with higher education, the level of wages and income inequality, the number of students, the development of transport infrastructure, the use of computers and the Internet, the number of employees engaged in scientific research developments, including those with advanced degrees, graduate school graduation, innovative activity of organizations, and exports had a significant effect. The number of employees in government bodies has a negative effect. The multicollenarity of the indicators characterizing the tested factors will allow us to consider that half of the identified factors are independent.


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.


2020 ◽  
Vol 8 (4) ◽  
pp. 12-16 ◽  
Author(s):  
Elena Basovskaya ◽  
Leonid Basovskiy

To identify the determinants of labor productivity, correlation between labor productivity and various indicators were evaluated, reflecting the influence of a wide range of socio-economic and innovative factors in the regions of Russia for 2015-2018. It has been established that many indicators characterizing socio-economic and innovative factors do not have a significant relationship with labor productivity and are multicollenarity (they have correlation relationships among themselves). For each year, according to statistics from the regions of the Central Federal District of Russia, econometric models constructed in the form of a well-known standard internal linear function - an analogue of the Cobb-Douglas production function. The obtained models testify to a positive impact on the labor productivity of the capital-labor ratio, the level of export, the level of income distribution inequality, the number of workers engaged in research and development, which indicates the contribution of science to the spread of new technological structures in the economy. A significant positive effect on labor productivity of income inequality testifies to the action in the country of economic mechanisms operating in developed countries.


2017 ◽  
Vol 5 (2) ◽  
pp. 39-42 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya

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.


2021 ◽  
Vol 27 (11) ◽  
pp. 2465-2478
Author(s):  
Aleksei N. SAVRUKOV ◽  
Nikolai T. SAVRUKOV

Subject. We consider economic relations and problems within the framework of spatial development of settlements and constituent entities of the Russian Federation. Objectives. We focus on the development of a methodology for assessing the spacial spillover effects of investments in transport infrastructure and their monetization, considering the network and spillover effects, socio-economic characteristics, geographical location, and the level of connectivity of territories. Methods. The study employs methods of economic, statistical analysis and synthesis, and comparison. The works of economists on the problems of transport accessibility, spatial development and the impact of transport infrastructure on the dynamics of economic growth serve as the theoretical basis of the study. Results. We tested the proposed methodological toolkit, presented the results of assessing the spillover effects of investments in transport infrastructure based on the materials of the Central Federal District according to data for 2020. We determined the secondary effects of infrastructure investments, assessed the size of ‘exports’, ‘imports’ and the real size of investments in transport infrastructure, considering the secondary effects for the subjects of the Central Federal District. Conclusions. The numerical estimates of the spillover effects of investments in transport infrastructure for the subjects of the Central Federal District obtained in the work can be used in practice, when planning the development of territories and assessing the socio-economic effects of regional and interregional transport projects.


2019 ◽  
Vol 110 ◽  
pp. 02146
Author(s):  
Maria Rakhova ◽  
Maria Zakirova

The purpose of the paper is to assess the sufficiency of the financial and investment resources of the territory to increase its potential, and the possibility of the overflow of this resource to neighboring socio-economic systems. The study substantiates the need to identify the resource potential of the regions in order to determine opportunities for their development and reduce dependence on external economic and political influence. In the paper, in particular, the sufficiency of financial and investment resources of the central federal district is determined, which include the production factor “capital”, including investments in fixed assets, costs for research and development and technological innovations. The research method is based on the normalization, correlation and factor analysis of the initial data, and consists in calculating the accumulation norms and coefficients of significance of the selected resources. The results of identifying concentration points can be applied in the future to assess the prospects for economic development of the regions of the central federal district. The results of research can be useful to federal and regional executive authorities for the formulation and adjustment of the planned development strategy.


2016 ◽  
Vol 5 (2) ◽  
pp. 42-49
Author(s):  
Мешкова ◽  
D. Meshkova

The author considers the complex existing law regulating the activities of foreign investors in the Russian Federation. The analysis of the dynamics and structure of foreign investments in the Russian economy on the example of the subjects of the Central Federal District of the Russian Federation is given. The attention is focused on solving fundamental problems to improve the efficiency of management of foreign investment.


10.12737/7941 ◽  
2015 ◽  
Vol 9 (1) ◽  
pp. 34-41
Author(s):  
Михаил Саранча ◽  
Mikhail Sarancha

The article reflects the results of a study of sectoral and integrated strategies, concepts and programs for regional development in order to identify the situation in the field of regulation of development of automobile tourism in the Central Federal District. At the first stage considered are the place, functions, activities and prospects of automobile tourism in socio-economic development as the Central Federal District, as well as individual regions of the Russian Federation; at the second phase highlighted are strategies, concepts and programs of development of tourism from federal to regional level, at the third stage in the focus placed highway and transportation development programs in the Federal District and its regions. Materials for each document are systematized in the summary table by region and district. According to comprehensive industry and tourism documents, at all levels and in most parts of the county there is understanding of the role, functions and problems of development of automobile tourism, and transport infrastructure and services which are closely associated with it. Respective program activities are laid down. However, in the highway and transportation development programs Tourism issues have yet not received attention. Thus, there is a major problem in the development of one of the most promising and popular public areas of tourism associated with the inconsistency of industry regulation in the country and regions which harms tourism as a cross-industry complex phenomenon. A separate place is reserved for field monitoring of the state of roads and roadside services in major highways of the county, which revealed the existence of serious problems with: infrastructure, service, compliance with the rules and organization of road safety. Regulations on requirements to infrastructure along the highways is more formal than essential, which is expressed by appropriate equipment requirements for highways, but having actual problems. Based on the detected situation, conclusions and suggestions are made on the ways of solving problems.


Author(s):  
Anastasia A. Mirolyubova ◽  
Dmitry N. Karpukhin

The article tries to identify determinants of the regional innovation system and their influence on the volume of innovative goods and services on the basis of econometric analysis for 2005–2015 taking the regional economies of the Central Federal District of Russia as an example. The econometric analysis of cross‑sectional data has shown that the influence of the region’s innovation potential on the volume of innovative goods and services has become noticeable since 2011. Moreover the regions with an innovation‑oriented economy include Lipetsk, Kaluga and Yaroslavl.


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