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.

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.

scholarly journals Reproduction Processes in Subsoil Use as the Basis for Sustainable Socio-Economic Development of Oil-Producing Regions

2021 ◽  
Vol 17 (4) ◽  
pp. 1286-1301
Author(s):  
I.V. Sharf ◽  
Keyword(s):  
Economic Development ◽  
Natural Capital ◽  
Petroleum Industry ◽  
Russian Regions ◽  
Geological Exploration ◽  
Oil Reserves ◽  
Socio Economic Development ◽  
The Russian Federation ◽  
Per Capita ◽  
The Impact

There are numerous studies on different aspects of the impact of hydrocarbon production on Russian economy. Nevertheless, direct and indirect effects of reserve reproduction on social and economic development of oil-producing regions have been insufficiently assessed, even though it differs due to various macroeconomic processes and existing state mechanisms of subsoil use. The present paper examines the upstream sector of the petroleum industry comprising hydrocarbon exploration and production. The research hypothesis states that an imbalance in subsoil use results in growing inequality of socio-economic development of Russian regions, while the expansion of geological exploration work will reduce this effect. The study analyses the influence of geological exploration, leading to an increase in oil reserves and oil production, on gross regional product (GRP) per capita and personal income. For that purpose, the analysis was performed based on statistical data on five regions of the Russian Federation using the Cobb-Douglas production functions. According to the results obtained for blocks of the proposed regression model, Russian regions were divided into clusters in terms of the input effect on expected results. Overall, the influence of oil production on GRP per capita and average income is more significant compared to an increase in oil reserves. Moreover, the impact of the upstream sector in Tomsk oblast is stronger than in other constituent entities of the Russian Federation. The existing regional imbalance in social-economic development depends on not only available natural capital and tax relief system in subsoil management, but also differences in economic development and the role of petroleum industry in the analysed regions. In the context of recession, the expansion of geological exploration is required to increase natural capital that would provide the income many times higher than investments at the upswing of the cycle. The study results can be used for petroleum industry management in the field of geological exploration to justify the use of financial and fiscal incentives.

scholarly journals Level of Repression in Altai Regions between 1935 and 1937: An Attempt at Using Statistical and GIS Methods

2021 ◽  
Vol 23 (3) ◽  
pp. 87-103
Author(s):  
Ekaterina M. Mishina ◽  
◽  
Keyword(s):  
Economic Development ◽  
Well Being ◽  
Development Indicators ◽  
Altai Region ◽  
Spatial Factor ◽  
Socio Economic Development ◽  
Per Capita ◽  
Gis Methods ◽  
The Impact ◽  
Individual Cluster

This article focuses on the analysis of the impact of socio-economic development indicators of Altai region and Oyrot autonomous region on the eve of the Great Purge (1935 — first half of 1937) on the regional intensity of repression. Employing statistical methods (regression analysis), the author verifies the hypothesis that in the areas with the highest level of well-being of the population, the level of repression was also higher. It is established that the turnover and expenditures per capita compared with other economic indicators had the greatest influence on repression levels in Altai and Oyrotia regions. Based on the results of the analysis of regional statistics, the author of the article puts forward a theory that the thesis proclaimed by the Bolsheviks to justify the failure of economic development by the actions of the “enemies” in practice seems untenable, since economically lagging regions were characterised by a relatively low level of repression. In the second part of the article, the author presents a typology of districts of Altai and Oyrotia regions based on the results of cluster analysis of various groups of socio-economic development indicators. Additionally, she substantiates the hypothesis about the influence of the spatial factor on the intensity of repression: the groups of regions of each individual cluster consist mainly of adjacent regions.

scholarly journals The Evolution of Economic Activity in the Rural Area of Region 2 South - East

2021 ◽  
Vol 95 ◽  
pp. 01007
Author(s):  
Daniela – Lavinia Balasan ◽  
Dragoş Horia Buhociu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Development ◽  
Economic Activity ◽  
Labour Force ◽  
Standard Of Living ◽  
Economic Growth Rate ◽  
Current State ◽  
Per Capita ◽  
The Impact

When we talk about economic development, we can refer to improve the standard of living and the prosperity of the population. This is due by increasing per capita income. In order to analyze economic activity, severe indicators must be studied, namely productivity, economic growth rate, labour force share, gross domestic product. In order to carry out as accurate an analysis as possible, it is required to discover the bottlenecks and problems that Region 2 South East makes and to develop a set of reservations and indications leading to the reduction and, why not, the removal of negative aspects. The main purpose of this work is to achieve a strategic plan by studying the current state and the impact of the economic system in recent times in all its forms, with a view to the development of the countryside of Region 2 South – East. I set out to create a website based on the advice of small rural entrepreneurs that evolves gathering information in realistically identifying all the strengths and concentrating them in the region’s potential innovation.

scholarly journals The influence of demographic factors on the economic development of the Azerbaijan: the interconnection problem

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Saleh Nagiyev
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Development ◽  
18Th Century ◽  
Demographic Factors ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
World Population ◽  
Per Capita ◽  
The Impact

Demographic factors have sometimes occupied center-stage in the discussion of the sources of economic growth. In the 18th century, Thomas Malthus made the pessimistic forecast that GDP growth per capita would fall due to a continued rapid increase in world population. There is a straightforward accounting relationship when identifying the sources of economic growth: Growth Rate of GDP = Growth Rate of Population + Growth Rate of GDP per capita, where GDP per capita is simply GDP divided by population. This article examines the interconnection between economic development and the demographic policy of Azerbaijan. The article analyzes various approaches of the impact of demographic factors on the economic development of a country. The following demographic factors have been identified and described as significant for the economic development: fertility dynamics, mortality dynamics, population size and gender and age structure.

scholarly journals Innovations in government management of the healthcare system: forecasting of covid-19 consequences in social, investment and business development

2020 ◽  
pp. 11-25
Author(s):  
Tetiana Vasylieva ◽  
Olha Kuzmenko ◽  
Naila Rashid Musayeva ◽  
Sergej Vojtovic ◽  
Maria Kascha ◽  
...  
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Fourier Series ◽  
Capital Investment ◽  
Innovation Policy ◽  
Additive Models ◽  
Negative Consequences ◽  
Time Series Decomposition ◽  
Socio Economic Development ◽  
The Impact

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of the need for an innovative policy in the area of health protection at the link with the transformation of the social and economic development of the country through the pandemic COVID-19. The main goal of this study is to predict two scenarios for the development of the main indicators of the country's socio-economic development: considering the pandemic COVID-19 and the possible course of events without the influence of epidemiological threats. The systematization of literary sources and approaches to innovation and the determination of the volume of negative consequences for the national economy, due to the introduction of quarantine restrictions, has shown that this issue is quite relevant around the world. The study of the transformation of the trajectory of economic development of Ukraine in the article was carried out in the following logical sequence: 1) collection of statistical information, including 118 indicators of social development, the state of capital investment and business expectations of Ukrainian enterprises and screening of multicollinear indicators among them; 2) performing a time series decomposition separately for the interval 5 years before quarantine and taking into account the impact of the pandemic; 3) forecasting the consequences of the pandemic according to the investigated indicators of economic development in 2020-2022 by turning the time series into the Fourier series. The methodological tools of the study were methods of checking for multicollinearity by Pearson coefficients, decomposition of additive models into a trend and cyclic components, selection of cyclic oscillations by fast Fourier transform, extrapolation of constructed models for subsequent years, and quality control of constructed models by F-test quarterly data for 2015-2020 are selected. The study empirically confirms and theoretically proves that among the socio-economic development factors studied, most experienced significant transformations due to the introduction of quarantine restrictions by the government. This leads to the need for innovation policy in the health sector in order to minimize such consequences in the future. Keywords: Fourier series, forecasting, COVID-19, innovation, time series decomposition, health care.

Business Activity and Economic Growth: An Economic and Statistical Study

2020 ◽  
Vol 27 (6) ◽  
pp. 66-78
Author(s):  
A. A. Frenkel ◽  
B. I. Tikhomirov ◽  
Y. V. Sergienko ◽  
A. A. Surkov
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Activity Index ◽  
Objective Assessment ◽  
Accurate Determination ◽  
Business Activity ◽  
Economic Activities ◽  
Goods And Services ◽  
Socio Economic Development ◽  
The Impact

This publication reflects the results of the author’s research on improving the domestic statistical and methodological tools used in the analysis and forecasting of the Russian economy. In this regard, the main features of the formation and application of the Business Activity Index for basic spheres of the economy of the Institute of Economics of the Russian Academy of Sciences (hereinafter, the index of business activity) are shown and substantiations of its individual advantages are given in comparison with the index of output of goods and services for the basic types of economic activities of Rosstat (hereinafter, the release of goods and services). The authors provide evidence that despite a number of positive qualities of the applied methodology for constructing the index of output of goods and services, the business activity index, according to the authors of the article, provides a more objective assessment of macroeconomic dynamics, since it includes additional indicators reflecting financial and social aspects of economic development. It is proved that the main advantages of the business activity index are manifested in a more accurate determination of the depth of crisis phenomena in socio-economic development, as well as in determining the timing of the onset and overcoming of these negative processes. The characteristics of the macroeconomic indicators that make up the business activity index are given. Methods for calculating the weights of indicators characterizing the level of business activity in various spheres of the national economy, as well as methods for determining changes in this level are considered. Changes in the dynamics of these weights are analyzed. Ways of more efficient use of business activity indices in the practice of accounting, forecasting and management of socio-economic development are proposed. The conclusion is substantiated that it is advisable to use the business activity index for macroeconomic analysis, forecasting and strategic planning, which will make it possible to more accurately assess the impact of the implementation of national projects and the social package of the message of the President of the Russian Federation on economic growth and increase the efficiency of using business activity tools in the practice of public administration of social economic development of the country.

Assessing the impact of infrastructure on the social and economic development of Russian regions

2021 ◽  
Vol 20 (5) ◽  
pp. 792-809
Author(s):  
Al'bert G. MNATSAKANYAN ◽  
Sedrak SARGSYAN
Keyword(s):  
Economic Development ◽  
Infrastructure Development ◽  
Russian Regions ◽  
Social Infrastructure ◽  
Social And Economic Development ◽  
Socio Economic Development ◽  
Regional Product ◽  
Development Objectives ◽  
The Impact ◽  
Determinants Of Economic Growth

Subject. We present the analysis of theoretical and practical aspects of the impact of infrastructure on socio-economic development. Objectives. The aim of the study is to review theoretical and empirical aspects of relationship between the condition of infrastructure and the socio-economic development of the Russian Federation. Methods. The study draws on comparative and logical analysis of theoretical foundations and conclusions published in scientific sources, as well as methods of mathematical and statistical analysis. Results. The statistical measurement of relationship between the condition of infrastructure and the determinants of economic growth yielded results that run counter to the findings in academic literature. While we reveal a significant positive correlation between the level of transport and energy infrastructure development with the gross regional product per capita, the variables that characterize the state of telecommunications and social infrastructure have little or no connection with this indicator of the Russian regions’ development. Conclusions. Several variables are not enough to assess the impact of infrastructure on socio-economic development. For this reason, the model of infrastructure impact assessment requires further improvement.

scholarly journals Economic Growth Patterns: Spatial Econometric Analysis for Russian Regions

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 289
Author(s):  
Vladimir Balash ◽  
Olga Balash ◽  
Alexey Faizliev ◽  
Elena Chistopolskaya
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Spatial Autocorrelation ◽  
Growth Rates ◽  
Growth Patterns ◽  
Weight Matrix ◽  
Russian Regions ◽  
Spatial Econometric ◽  
Per Capita ◽  
Economic Growth Rates

In this article, we analyze the σ - and β -convergence, using the data of the socio-economic development of Russian areas, and discover the role of spatial autocorrelation in regional economic development. We are considering 80 areas of the Russian Federation for the period of 2010–2017. Moran coefficients were used to estimate spatial autocorrelation. We compare the Moran scatterplots for GDP per capita and GDP growth rates per capita in 2017 and in 2014. We study the impact on raising investment in leading capital and the costs of technological innovation. We evaluate a wide range of specifications of spatial econometric models for all kinds of weight matrices. We combine standard geographical proximity with specialization proximity to assess whether they are substitutes or additions to converging economic growth rates. The weight matrix of the neighborhood and specialization similarities are used. The weight matrix of specialization similarities of the regional economies is based on data on the structure of tax payments in 82 industries. The specialization structure of the region’s economy is related to its location. Clusters obtained by matrices of specialization proximity are well separable from each other in space. The connectivity within clusters and the boundaries between them become more apparent over time. It is shown that according to the results of estimation of conditional β -convergence models, the models of 2010–2014 and 2014–2017 differ significantly. There is a statistically significant β -convergence for the period 2010–2014. There is also the presence of spatial autocorrelation. Based on the results of valuation models constructed from data after 2014, it can be concluded that the coefficient estimates for the explanatory variables are not significantly different from zero, and accordingly there is no tendency towards regional convergence in terms of economic development. The results obtained in the work are stable for the proposed models and spatial weight matrices. Territorial proximity is a more important factor than the similarity of specialization for explanation the economic growth rates of Russian regions.

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