scholarly journals Socio-economic development of agriculture in southern Russian regions: trends, challenges and prospects

2018 ◽  
pp. 94-100
Author(s):  
Lyudmila Namrueva ◽  
Keyword(s):  
Economic Development ◽  
Russian Regions ◽  
Socio Economic Development

Integrated Assessment of Socio-Economic Development of Rural Areas, Taking into Account Differences in Population Density

2020 ◽  
pp. 76-83
Author(s):  
N.N. Balashova ◽  
◽  
D.A. Korobeynikov ◽  
S.A. Popova ◽  
◽  
...  
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Integrated Assessment ◽  
Russian Regions ◽  
Socio Economic Development

Typologization of rural areas, taking into account differences in population density and level of socio-economic development, is necessary to identify “growth points” and strategic sustainability benchmarks. The method of integrated assessment of the level of socio-economic development of rural territories is proposed, according to which the grouping of Russian regions is carried out. Applying data on rural population density to the results of calculations allowed us to identify 12 typological groups, in the context of which unified recommendations on sustainable development of territories should be formed.

Determining and evaluating the level of socio-economic risks for Russia to respond to ‘Grand Challenges’

2021 ◽  
Vol 17 (3) ◽  
pp. 443-469
Author(s):  
Nataliya V. KUZNETSOVA ◽  
Ekaterina V. KOCHEVA ◽  
Nikolai A. MATEV
Keyword(s):  
Economic Development ◽  
Risk Mitigation ◽  
Market Potential ◽  
Russian Regions ◽  
Economic Agents ◽  
Grand Challenges ◽  
Technological Gap ◽  
Socio Economic Development ◽  
Mitigation Methods ◽  
Economic Risks

Subject. The modern economic development strongly depend on a powerful regulator, such as grand challenges, which have become a critical barrier, requirement, level that should be attained. Considering the grand challenges, the country set up goals and tasks for the coming period and adjusts operations of economic agents. Therefore, it is necessary to assess the gap between the absolute and current market potential with reference to qualitative and quantitative indicators. The study is called to assess whether Russia is prepared for the existing and arising grand challenges. We also determine risk mitigation methods and the probability of negative scenarios. Objectives. We determine and evaluate the level of socio-economic risks for Russia to respond to the grand challenges. We also pinpoint key directions for the Russian regions to continue their socio-economic development in order to promote their further economic growth. Methods. The study presents the economic-mathematical modeling of the nexus among factors that determine socio-economic risks of the GRP dynamics to find their mitigation methods. In the study, the logit-model with dummy variables that attribute the regions to certain clusters. Results. We analyzed and classified risks of the Russian regions by 10 integral indicators. The article shows homogeneous regional zones exposed to similar socio-economic development risks. We also carry out the multivariate classification of the Russian regions by the risks assessed. As the findings show, the Russian regions strongly differ by socio-economic risks. The article spotlights priorities of the socio-economic development of the constituent entities of the Russian Federation. Conclusions and Relevance. As their key development vector, the Russian regions need to overcome the technological gap, mitigate the S&T potential risk and a drop in the innovative activity of the economy.

scholarly journals PRIORITIES OF SOCIO-ECONOMIC DEVELOPMENT OF RUSSIAN REGIONS IN THE CONDITIONS OF INTERNATIONAL ECONOMIC SANCTIONS

2021 ◽  
pp. 1922-1926
Author(s):  
В.С. КУКСЕВИЧ
Keyword(s):  
International Economic ◽  
Economic Development ◽  
Economic Sanctions ◽  
Russian Regions ◽  
Socio Economic Development

В статье проводится изучение сущности социально-экономического развития. На основе анализа проблем и ограничений экономики России и ее регионов, связанных с международными и экономическими санкциями, сформулированы приоритеты социально-экономического развития российских регионов.

scholarly journals Classification of Russian regions taking into account the structure of informal employment and the level of socio-economic development

2020 ◽  
Vol 17 (6) ◽  
pp. 31-43
Author(s):  
E. I. Dubravskaya
Keyword(s):  
Economic Development ◽  
Labor Market ◽  
Informal Employment ◽  
Federal State ◽  
Russian Regions ◽  
Homogeneous Groups ◽  
Managerial Decisions ◽  
Socio Economic Development ◽  
The Relationship

Purpose of the study. The possibilities for the implementation of national and regional strategic objectives depend on the compliance of the measures taken with the chosen development path. The set of measures includes managerial decisions in the field of labor market regulation and concerning the legalization of informal employment. To make managerial decisions on the regulation of the labor market at the regional level, an objective statistical assessment of the relationship between informal employment and indicators of socio-economic development is required.The information basis for the regulation of informal employment should be quantitatively assessed stable regularities of the relationship between the parameters of informal employment and the structural and dynamic characteristics of economic growth and development. To identify and evaluate these statistical patterns, based on data from the Federal State Statistics Service in a regional context, a system of statistical indicators has been developed and significant factors of informal employment and socio-economic development have been identified. Given the heterogeneity of the constituent entities of the Russian Federation in terms of the scale and structure of informal employment, the distribution of regions into homogeneous groups is required. The article describes the approaches to the classification of Russian regions, taking into account the level of socio-economic development and the structure of informal employment.Materials and methods. The article examines an approach to the distribution of regions into homogeneous groups using the methods of cluster analysis based on a group of indicators characterizing those employed in the informal sector, which is based on the assumption that the indicators of informal employment are causally related to indicators of socio-economic development.Results. Five groups of regions are obtained, homogeneous in terms of the structural characteristics of informal employment and generalized factors of socio-economic development. For the purposes of further interpretation, the selected groups are assessed and ranked relative to the average Russian level of socio-economic development: low level (8 regions), below average (26 regions), average (41 regions), above average (8 regions), high level (2 regions) ...Conclusion. The resulting classification of Russian regions is a transitional stage to the construction of an econometric model of the relationship between informal employment and indicators of socio-economic development. Further analysis will allow us to assess which indicators have the greatest multiplier effect on the regional economy and to obtain a quantitative assessment of this impact on its growth.

scholarly journals Creative industries in russian regions: challenges of establishment and conditions for development

2021 ◽  
Vol 7 (3D) ◽  
pp. 342-350
Author(s):  
Irina Stanislavovna Glebova ◽  
Svetlana Sergeevna Berman ◽  
Natalia Aleksandrovna Semenоva ◽  
Ruslan R. Galiakhmetov
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Creative Industries ◽  
Creative Economy ◽  
Russian Regions ◽  
Management Research ◽  
Socio Economic Development ◽  
The Russian Federation ◽  
Single Approach

not considered as an object of management research; there is no system for regulating the creative sector of the economy at both federal and regional levels. The choice of methodology remains an open-ended question since there is no single approach to defining the concept and estimating creative industries. The need to fill the methodological, organizational, and managerial gaps in the sphere of the Russian creative economy proves the relevance of the chosen topic and requires its in-depth research. In the article, the researchers present the calculation of the Сomposite Сreativity Index for the regions of the Russian Federation in dynamics for a nine-year period based on the methodology developed by the authors. The purpose of the study is to test the proposed methodology and search for effective organizational and managerial tools for the creative industries development in the Russian regions to establish the programs of territories socio-economic development.

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.

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