The impact of science, innovation and concentration of production enterprises on the economic growth in the Russian regions

2019 ◽  
Vol 15 (12) ◽  
pp. 2327-2343
Author(s):  
G.A. Untura ◽  
◽  
M.A. Kaneva ◽  
A.A. Zabolotskii ◽  
◽  
...  
Keyword(s):  
Economic Growth ◽  
Russian Regions ◽  
Science Innovation ◽  
The Impact

scholarly journals ASSESSMENT OF THE IMPACT OF INCOME INEQUALITY ON ECONOMIC GROWTH IN RUSSIAN REGIONS

2021 ◽  
Vol 2 ◽  
pp. 106-110
Author(s):  
Rogneda Vasilyeva ◽  
Oleg Mariev ◽  
Elena Ignatieva ◽  
Alla Serkova
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Income Inequality ◽  
Capital Investment ◽  
Cultural Development ◽  
Russian Regions ◽  
Socio Economic Development ◽  
Per Capita ◽  
Fixed Capital Investment ◽  
The Impact

Inequality in the distribution of income of the population has a certain impact on different aspects of the economic and socio-cultural development of countries and regions. This inequality arises due to a number of factors as the current nature of the production specialization, the availability of production and economic infrastructure, the achieved level of development of the social sphere, socio-cultural, demographic, and other factors. The main objective of this study is to assess the nature and extent of the impact of income inequality in the Russian regions for the subsequent justification of the directions of socio-economic development. We conducted an econometric analysis of the impact of intraregional income inequality (the Gini coefficient), fixed capital investment per capita, and average per capita consumer spending on one of the main indicators of regional economic growth (GRP) per capita was carried out. The model is based on panel data for the period 2012-2018 for 85 regions of the Russian Federation. The results of the study confirm two of three hypotheses. As prospects for further research, it is proposed to consider the impact of inequality in the distribution of household income on economic growth for different groups of regions, including resource-type regions and regions with a predominance of manufacturing industries, as well as for leading regions and regions with a relatively low level of socio-economic development.

Social Capital as a Factor of Economic Growth in the Regions of Russia

2019 ◽  
Vol 14 (5) ◽  
pp. 124-149 ◽  
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Economic Development ◽  
Growth Rates ◽  
Generalized Method Of Moments ◽  
Sociocultural Factors ◽  
Russian Regions ◽  
Least Squares Regression ◽  
Economic Growth Rates ◽  
The Impact

This paper examines the influence of sociocultural factors of economic growth on economic development of the Russian regions. The article analyses the influence of various forms of social capital according to James Coleman (norms of trust between individuals, horizontal ties, social norms and values) on economic growth rates of the Russian regions. The paper uses an augmented neoclassical model of economic growth to test the hypotheses about the impact of the initial social capital distribution on the subsequent GRP growth rates in 2007–2016. Particular attention is paid to the selection of relevant tools for measuring the level of social capital of the Russian regions. The empirical specifications of the proposed theoretical model of regional economic growth were evaluated using the two-stage least squares regression (2SLS); the robustness check was carried out using the system generalized method of moments (system GMM). The results of econometric analysis show that the initial spatial distribution of generalized trust does not have a statistically signifi cant effect on economic development. At the same time, the activity of lobbying groups (Olson groups) reduces the rate of economic growth in the regions of the Russian Federation. Increasing the level of civic cooperation (the willingness of citizens to unite to solve their own or social problems in the region) is associated with higher rates of economic development. For the selected study period, the economic signifi cance of sociocultural factors is marginal relative to the significance of the fundamental neoclassical growth factors. Unlocking the potential of sociocultural factors of economic growth may suggest activating the processes of structural transformation of the Russian economy by increasing the economic importance of the private sector and SME segment.

scholarly journals Phenomenon of Structural-Technological Proximity and Knowledge Spillovers between Russian Regions

2020 ◽  
Vol 16 ◽  
pp. 1254-1271
Author(s):  
Galina A. Untura ◽  
Maria A. Kaneva ◽  
Olga N. Moroshkina
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Knowledge Spillovers ◽  
Knowledge Spillover ◽  
Spatial Proximity ◽  
Russian Regions ◽  
Economic Activities ◽  
Novosibirsk Region ◽  
The Russian Federation ◽  
The Impact

International theoretical and empirical studies have shown that regional development and economic growth largely depend on spatial and non-spatial proximity of regions, which generates knowledge spillovers. We developed a methodological approach to measuring and visualising spatial and structural-technological proximity affecting regional knowledge spillovers. Moreover, we tested the techniques of the cartographic visualisation of the proximity of Russian regions. Further, we analysed foreign and domestic approaches to studying spatial and non-spatial proximity and obtained new results. We described the stages constituting a methodology for the quantitative assessment of different types of regional proximity. Additionally, we proposed a method for constructing a typology of regions based on the coefficients of the non-spatial proximity matrix, calculated according to the indicator “gross value added” for 15 sectors of the Russian National Classifier of Economic Activities (OKVED) for Russian regions. Using the data for the Novosibirsk region in 2005 and 2016, we applied methodological techniques for measuring and visualising geographical and structural-technological proximity (STB) of a region in relation to other constituent entities of the Russian Federation. The Novosibirsk region is located in the middle of the country and has a diversified structure of economic activities and science. For this particular region, there has been an increase in the likelihood of the emergence of knowledge spillover channels with various European regions of Russia and some regions of the Urals and the Far East. Proximity matrices can be used in econometric studies to test hypotheses about the impact of different forms of proximity on regional economic growth. Recommendations to enhance knowledge spillover coincide with the proposals to support the areas of innovative development stated in The Strategy of Spatial Development of the Russian Federation for the period until 2025.

scholarly journals Does income inequality matter for CO2 emissions in Russian regions?

Equilibrium ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 533-551
Author(s):  
Natalia Davidson ◽  
Oleg Mariev ◽  
Sophia Turkanova
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Value Added ◽  
International Perspective ◽  
Kuznets Curve ◽  
Russian Regions ◽  
Fixed And Random Effects ◽  
The Impact

Research background: Intensive economic growth in Russian regions during recent decades has been associated with numerous environmental issues, particularly increasing CO2 emissions, as well as income inequality. To achieve sustainable development, it is necessary to resolve these issues. Purpose of the article: To shed light on the impact of income inequality on CO2 emissions based on Russian regional data covering the years 2004?2018. Methods: Gini index and decile dispersion ratio are used to measure income inequality. To study the impact of income inequality on CO2 emissions in the Russian regions, we estimate econometric models with fixed and random effects and apply GMM method. We test the hypothesis of the environmental Kuznets curve to determine the impact of economic growth on CO2 emissions. Findings & value added: The results show that CO2 emissions increase in tandem with growth in income inequality between 10% of people with the lowest income and 10% of people with the highest income. Simultaneously, CO2 emissions decrease with growth of Gini coefficient. The hypothesis of the Environmental Kuznets Curve was confirmed based on GMM method. Our findings underscore that the activities of the extraction and manufacturing sectors, as well as energy consumption, increase CO2 emissions. The chief significance of this paper is the finding that large income gap between extremely rich and extremely poor population cohorts increases CO2 emissions. This implies that economic policy aimed at reducing income inequality in Russian regions will also reduce CO2 emissions, especially if accompanied by increased use of environmentally friendly technologies. From the international perspective, our research can be extended to study other countries and regions.

The Problem of the Impact of Human Capital Formed in the Education System on the Socio-Economic Development of Russian Regions

2021 ◽  
Vol 9 (2) ◽  
pp. 34-37
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Education System ◽  
Russian Regions ◽  
Industrial Economy ◽  
Socio Economic Development ◽  
Post Industrial ◽  
The Impact ◽  
Positive Effect

The paper put forward hypotheses that the possibility of economic growth during the transition to a post-industrial economy is determined by human capital formed in the higher education system, the possibility of economic well-being in the transition to a post-industrial economy is determined by human capital formed in the tertiary system. Education, institutional transformations in the education system due to their incon-sistency and approaches based on the administrative and control style of management inherited from the industrial economic system, worsen the conditions for the formation of human capital in the education system of modern Russia. To assess the impact of the socio-economic development of human capital formed in the education system, it is proposed to perform by means of a correlation analysis of links between indicators characterizing the composition of the employed population by education level and indi-cators characterizing the socio-economic development of Russian regions by years of a twenty-year period starting from 2000 to 2019. Preliminary research has made it possible to establish that the employed population of the regions with higher education has a positive effect on economic growth in the regions, but this influence is decreasing; the employed population of the regions with lower levels of education negatively affect the economic growth in the regions. The employed population of regions with higher and professional education has a positive effect on the welfare of the regions.

The Impact of related Variety in Exporton Economic Development of russian regions

2013 ◽  
pp. 128-149
Author(s):  
S. Kadochnikov ◽  
A. Fedyunina
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Comparative Advantage ◽  
Product Space ◽  
Small Distance ◽  
Russian Regions ◽  
Export Structure ◽  
Export Variety ◽  
Per Se ◽  
The Impact

In this paper we study the linkage between export structure and economic development in Russian regions. We conjecture that not only export variety per se , but export variety of related products, located at a small distance in the product space, significantly contributes to economic growth. Empirical analysis highlights the importance of the product space density around products with comparative advantage for economic growth in Russian regions during 2003—2008. We conclude that the presence of industry variety in a region facilitates economic development.

The impact of public and private investments on the economic dynamics of Russian regions

2021 ◽  
Vol 20 (8) ◽  
pp. 1438-1461
Author(s):  
Roman M. MEL'NIKOV
Keyword(s):  
Economic Growth ◽  
Growth Rates ◽  
Financial Management ◽  
Generalized Method Of Moments ◽  
Federal Budget ◽  
Russian Regions ◽  
Foreign Investments ◽  
Public And Private ◽  
Private Investments ◽  
The Impact

Subject. The article deals with the comparative analysis of the impact of various sources of financing on the economic growth of Russian regions. Objectives. It focuses on evaluating the impact of public and private investments on the growth rates of real GRP in Russian regions. Methods. The study employs a regression analysis of panel data of Russian regions, using models with fixed and random effects, and a generalized method of moments, a modification of the Mankiw–Romer–Weil's model, which distinguishes investments from the Federal budget, consolidated budgets of Federal subjects of Russia, foreign, and private investments. Results. The study reveals that the attraction of foreign investments has the greatest positive impact on the economic growth of Russian regions. Federal budget investments do not stimulate private investments or contribute to the economic growth of regions, which is related to the priority of Federal investments aimed at achieving socio-political rather than economic goals. Conclusions. Increasing the growth rates of the economies of Russian regions requires consistent work to attract foreign investments, which is complicated by the current geopolitical situation. Measures are necessary to improve the efficiency of budget investments, including the implementation of modern approaches to quantifying the costs, benefits and risks of socially significant investment projects in the practice of public financial management, and sharing the risks of public investments with private capital through the development of public-private partnership mechanisms.

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