scholarly journals Present Innovation Policy: Russian Regions Data

2021 ◽  
Vol 39 (69) ◽  
pp. 146-163
Author(s):  
Iuliia S. Pinkovetskaia ◽  
Natalya R. Aleksandrova ◽  
Tatyana V. Treskova ◽  
Daniela S. Veas Iniesta
Keyword(s):  
Innovation Policy ◽  
Specific Weight ◽  
Statistical Information ◽  
Comprehensive System ◽  
Russian Regions ◽  
Short Term ◽  
The Russian Federation ◽  
National Economies ◽  
Innovation Policies ◽  
Regions Of Russia

Innovation policies are currently one of the main axes for improving the efficiency of national economies in developed and developing countries. The innovation policy includes a comprehensive system of activities. In Russia, increasing the specific weight of commercial entities engaged in innovative activities is among the most important objectives for the short term. The aim of our study was to evaluate the use of innovation based on taking into account the specific weight of organizations that perform innovations in the total number of organizations operating in the regions of Russia. Our study was based on official statistical information on the 82 regions of Russia for 2017-2019. Economic-mathematical models have been developed that describe the specific weight of the organizations that implement innovation. There are no significant changes in the indicators for the years indicated. It has been shown that, to date, almost one in five organizations in the Russian Federation has used innovation in their activities. In addition, they have identified the regions with maximum and minimum values of the specific weightings of innovative organizations for 2019.

Revealing of the specificity of mortgage housing lending based on the results of clustering of regions

2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA
Keyword(s):  
Systems Approach ◽  
Mortgage Lending ◽  
Effective Algorithm ◽  
Russian Regions ◽  
Local Conditions ◽  
Partitioning Around Medoids ◽  
Analysis And Synthesis ◽  
The Russian Federation ◽  
The Impact ◽  
Regions Of Russia

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.

scholarly journals Social Development Forecast for Russian Regions

2018 ◽  
Vol 22 (6) ◽  
pp. 132-152
Author(s):  
L. G. Cherednichenko ◽  
R. V. Gubarev ◽  
E. I. Dzyuba ◽  
F. S. Fayzullin
Keyword(s):  
Neural Network ◽  
Social Development ◽  
Russian Federation ◽  
Objective Assessment ◽  
Russian Regions ◽  
Republic Of Bashkortostan ◽  
The Social ◽  
The Russian Federation ◽  
The Republic ◽  
Regions Of Russia

The objective of the article is to offer a proprietary technology for assessment and forecasting of social development of Russian regions. The methodological basis of the study is neural network technology (a Bayesian ensemble of dynamic neural networks of different configurations is formed) that ensure high accuracy of the forecast. The authors developed a methodology for assessing the social potential of the Russian regions. They have also designed a system of private indicators characterising the level of social development of Russian regions. The indicators have been divided into five groups: 1) population (life expectancy); 2) standard of living of the population; 3) education; 4) health care (morbidity); 5) research and innovation. The private indicators have been made comparable by normalizing their values by means of “Pattern” method. This method allows the objective assessment of the interregional “gaps” in the country across the entire system of social indicators. The social development index of the subjects of the Russian Federation has been calculated. Based on neural network technologies (Kohonen self-organizing maps) clustering of regions of Russia regarding social development has been conducted. The forecast of the social development of the Russian regions has been made. Due to the forecast, it has been established that in the leading region of the Russian Federation (Moscow) in 2017-2019 the decrease is expected in the index of social development in comparison with 2014-2016. In another leading region of the Russian Federation (St. Petersburg) the decline in comparison with 2016 is expected in the medium term. At the same time, for the Republic of Bashkortostan in 2017-2019, just a slight decrease in the level of social development is forecasted. However, it is expected that the Republic will still lag significantly behind the leading regions of Russia by social development. The example of the Republic of Bashkortostan helped to discover that the lag in social development can be explained by the “gap” in research and innovations. The authors have concluded that it is necessary to improve the effectiveness of social policy at the regional level. Thus, it is necessary not only to increase financing of the social sphere of the subjects of the Russian Federation, but also to ensure proper control of budget spending. The developed methodology can be an effective tool for forecasting and managing social development of the Russian regions by the relevant ministries and departments.

scholarly journals Regional differentiation of higher education in Russian regions in 2020

2021 ◽  
Vol 12 (35) ◽  
pp. 428-445
Author(s):  
Iuliia Pinkovetskaia ◽  
Magomedsaid Yakhyaev ◽  
Elena Sverdlikova ◽  
Daniela S. Veas Iniesta
Keyword(s):  
Higher Education ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Significant Development ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Statistical Surveys ◽  
Higher Education Organizations ◽  
Regions Of Russia

The aim of this study was to evaluate the specific values of the indices that describe the spread of higher education institutions in all regions of Russia and the number of their students in the total working-age population living in these regions. The initial empirical data were the results of official statistical surveys conducted on information on the development of higher education, as well as the number of working -age population in eighty-two regions of the Russian Federation for 2020. In the course of the research, four mathematical models were developed. The study showed that on average, there are almost 14.8 higher education organizations per million working-age residents in the regions. It is proved that every twenty-fourth person of working age in 2020 studied under higher education programs. The conducted analysis showed the presence of a significant differentiation of the values of the considered indicators by region. The regions with the maximum and minimum values of the considered indicators were identified. It is shown that higher education has received significant development in Russia.

Approaches to Assessing the Strategic Sustainability of Large, Medium, and Small Enterprises in the Depressed Regions of Russia

2019 ◽  
pp. 25-38
Author(s):  
Yu. V. Kuznetsov ◽  
E. M. Anokhina ◽  
E. V. Melyakova
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Regional Economic Development ◽  
Small Enterprises ◽  
Russian Regions ◽  
Regional Economic ◽  
The Russian Federation ◽  
Depressed Regions ◽  
Medium And Small Enterprises ◽  
Regions Of Russia

The presented study examines the results of the assessment of the strategic sustainability of the complex of large, medium, and small enterprises in Russian regions. The specific features and parameters of the complex of enterprises in the depressed regions of the Russian Federation are identified. The hypothesis about the dependence of the economic indicators of regional development on the strategic sustainability of enterprises operating in the region is confirmed. Directions for applying the results of this study to boost the economies of the depressed Russian regions by improving the management of the complex of enterprises are proposed. Aim. The study aims to analyze the methodological approaches to assessment proposed by the authors as well as the strategic sustainability of large, medium, and small enterprises in the depressed regions of Russia.Tasks. The authors develop a methodology for analyzing the strategic sustainability of the complex of large, medium, and small enterprises in Russian regions as a crucial factor of regional economic growth; identify specific features in the development of this complex in the depressed regions of Russia by calculating an integrated index for performance assessment – index of strategic sustainability of the complex of enterprises in the region; determine the sustainability parameters of the complex of enterprises in the constituent entities of the Russian Federation based on the developed system of indicators. According to the results of the study, the authors characterize directions for improving the management of the complex of large, medium, and small enterprises.Methods. The theoretical and methodological basis of the study comprises theories and concepts of the role of enterprises and entrepreneurship in regional economic development, allowing the authors to propose definitions for the concepts of ‘strategic sustainability of the complex of enterprises in the region’ and ‘regional profit center’. This study also uses general scientific methods: analysis and synthesis, comparative and statistical analysis, systematization, calculation of an integrated index, cluster analysis, and correlation analysis. The calculations are based on the data of the Russian Federal State Statistics Service, Russian Federal Tax Service, and SPARK database by Interfax.Results. The study shows that the complex of enterprises in depressive regions is not strategically stable. In comparison with regions where the socio-economic development rate is higher, the depressed regions of the Russian Federation have a significantly lower proportion of large business enterprises, lower labor productivity and innovative activity of enterprises, less favorable demography of enterprises, much lower share and growth rate of corporate income taxes in the total tax revenues of the region, and other indicators pertaining to the analysis of activity of enterprises. This confirms the hypothesis of the dependence of regional economic development on the business structure of the region and makes it possible to propose ways of improving the management of strategic sustainability of enterprises in depressed regions for federal and regional authorities.Conclusions. The complex of large, medium, and small enterprises in depressed regions is characterized by low and extremely low sustainability parameters, which affects the economic and social development of the regions. Many key indicators of the development of depressed regions over the past 30 years have values below 50 % of the average level in Russia. Improvement of the management of development of depressed regions should focus on enhancing government support tools that facilitate the development of the complex of enterprises in the regions. The management of sustainability of the complex of enterprises in a region should be integrated into the strategic management system at the federal and regional level.

Town Regulation of Negative Consequences in Areas of Flooding and Partial Flooding

2021 ◽  
pp. 185-196
Author(s):  
В. И. Сухачева
Keyword(s):  
Legal Regulation ◽  
Comprehensive System ◽  
Russian Regions ◽  
Negative Consequences ◽  
Legal Regime ◽  
Existing Problems ◽  
Modern Methods ◽  
Individual Protection ◽  
The Russian Federation ◽  
Urban Regulation

Постановка задачи. Градорегулирование в зонах затопления, подтопления является одной из самых актуальных проблем для российских регионов. Цель данной работы - дать понятие градостроительного регулирования в зонах затопления, подтопления, рассмотреть правовой режим этих зон, раскрыть существующие проблемы градорегулирования в зонах затопления, подтопления и дать предложения по их устранению, а также совершенствованию действующего законодательства. Результаты. Установлено, что градорегулирование является эффективным методом по предотвращению и устранению негативных последствий в зонах затопления, подтопления. Выявлен ряд проблем в градорегулировании, устранение которых позволит повысить эффективность предотвращения и устранения негативных последствий в зонах затопления, подтопления. Предложены пути решения обозначенных проблем градорегулирования. Выводы. Современные методы снижения ущерба от опасных гидрологических явлений, включая наводнения, требуют перехода от стратегии индивидуальной защиты объектов к комплексной системе мер, которая включает в себя прежде всего нормативно-правовое регулирование данного вопроса и ответственность за несоблюдение установленных норм и правил. Именно такой подход является необходимым элементом обеспечения стабильного экономического развития Российской Федерации, безопасности жизнедеятельности граждан и создания комфортных условий проживания. Statement of the problem. Urban regulation in areas of flooding is one of the most pressing problems for Russian regions. The purpose of this work is to give the concept of urban planning regulation in areas of flooding, flooding, to consider the legal regime of zones of flooding, flooding, to reveal the existing problems of urban regulation in areas of flooding and partial flooding, and to give guidelines for their elimination and improvement of the current legislation. Results. It is established that city regulation in areas of flooding and partial flooding is an effective method for preventing and eliminating negative consequences in areas of flooding and partial flooding. A number of problems has been identified in urban regulation in areas of flooding and partial flooding, the elimination of which will increase the effectiveness of prevention and elimination of negative consequences in areas of flooding and partial flooding. The ways of solving the indicated problems of urban regulation are set forth. Conclusions. Modern methods of reducing damage from hazardous hydrological phenomena, including floods, require a transition from a strategy of individual protection of facilities to a comprehensive system of measures, which includes, most importantly, a legal regulation of this issue and responsibility for non-compliance with established norms and rules. It is this approach that is a necessary element of ensuring the stable economic development of the Russian Federation, the safety of citizens' and the creation of comfortable living conditions.

Management priorities of social and economic development of the russian regions

2016 ◽  
Vol 5 (2) ◽  
pp. 51-54 ◽  
Author(s):  
Пчела ◽  
A. Pchela
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Russian Regions ◽  
Effective Management ◽  
Social And Economic Development ◽  
Its Regions ◽  
Socio Economic Development ◽  
The Russian Federation ◽  
Management Priorities ◽  
Regions Of Russia

The article discusses management priorities of socio-economic development of the regions of Russia in accordance with the Concept «Strategy of socio-economic development of the regions of the Russian Federation». The conclusion is made about the importance of the choice of effective management priorities of socio-economic development of the country regions in implementing the strategy of socio-economic development of its regions.

POTENTIAL AND PROSPECTS FOR THE DEVELOPMENT OF THE DIGITAL ECONOMY OF RUSSIAN REGIONS

2021 ◽  
Vol 2 (6) ◽  
pp. 73-78
Author(s):  
A. A. ABDULLAYEVA ◽  
◽  
T. G. MAKHMUDOV ◽  
M. A. IVANENKO ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Social Development ◽  
Russian Federation ◽  
Digital Economy ◽  
Russian Regions ◽  
The Russian Federation ◽  
Life Education ◽  
Moscow School ◽  
Regions Of Russia

The article examines the potential and prospects for the development of the digital economy of the re-gions of the Russian Federation. The process of digitalization is one of the most important drivers of both economic and social development of the regions, which is the relevance of this topic. Modern digital technol-ogies affect and actively improve most of the spheres of life: education, trade, production, and much more. As a result of the research, the main ways of development of the digital economy of the Russian Federation were studied, the level of digitalization of its subjects was determined through the prism of open sources on the basis of the new author's methodology of the Moscow School of Management «Skolkovo». The authors made a comparative analysis of the level of digitalization of various regions of Russia, as well as recommen-dations for the development of the digital economy of the country and its subjects.

scholarly journals Managing innovation activity factors in Russian regions through econometric modeling

Upravlenets ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 57-69
Author(s):  
Oleg Mariev ◽  
Karina Nagieva ◽  
Viktoria Simonova
Keyword(s):  
Russian Federation ◽  
Innovation Policy ◽  
Innovation Management ◽  
Market Competition ◽  
Innovation Activity ◽  
Russian Regions ◽  
Patent Activity ◽  
Regional Innovation ◽  
Macroeconomic Indicators ◽  
The Russian Federation

The paper aims to identify the main innovation activity factors in the Russian regions using econometric analysis. Assessment of the current state of the innovation environment in the Russian Federation reveals that there is a number of problems impeding innovation growth, which affects the country’s position in international rankings. The methodological basis of the research includes the theoretical principles of innovation economics, innovation management and regional development. There is a plethora of approaches to modeling the factors of innovative development of countries and regions, as well as to measuring innovation. In the article, we analyze patent activity in Russia’s regions and stimulating factors. The information base includes Rosstat panel data for 1999–2015 in 77 subjects of the Russian Federation. To optimize the set of variables of the econometric model, the authors apply a genetic algorithm. We find that factors reflecting human capital, financial performance of enterprises, market competition, ownership and general macroeconomic indicators of regions affect the indicators of patent activity. The research results can be used to formulate recommendations for improving regional innovation policy. In particular, it is reasonable to encourage the management and research staff of organizations to design and introduce innovations, develop venture business, promote active interaction of business with universities and research institutes, as well as strengthen international cooperation.

scholarly journals Neural network modeling of tourism development as a factor of sustainable economic growth in Russian regions

2021 ◽  
Vol 291 ◽  
pp. 02023
Author(s):  
Elena Letiagina ◽  
Valentina Perova ◽  
Aleksander Gutko ◽  
Aleksander Kutasin
Keyword(s):  
Neural Network ◽  
Russian Federation ◽  
Economic Activity ◽  
Dimensional Space ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Russian Regions ◽  
Tourism Sector ◽  
The Russian Federation ◽  
Regions Of Russia

The features of the development of the tourism sector in the regions of the Russian Federation, which have an impact on the socio-economic development of the country, have been investigated. Analysis of the current state of the tourism sector, classified as the main types of economic activity, is relevant and important for increasing the competitiveness of the regions of the Russian Federation and ensuring the economic security of the state. The study is aimed to model and analyze tourist cluster formations in Russia. The study of tourist activity in the regions of Russia based on the indicators of the database of the Federal State Statistics Service was carried out using a new promising approach - cluster analysis using the scientific and methodological apparatus of artificial neural networks. The distribution of Russian regions into five tourist clusters has been obtained as a result of clustering multidimensional data using neural networks - self-organizing Kohonen maps, which are focused on self-study, and modern information technologies. In neural network modeling, the six-dimensional space of tourism development indicators was mapped, taking into account the topology, into a two-dimensional space, which made it possible to visualize the results of grouping regions by tourist clusters. The features of the development of the tourism sector in the regions of the Russian Federation have been revealed by the totality of the considered indicators The obtained results state that there is a strong variation in the number of regions by tourist clusters and the ametric nature of the development of tourist activity in the regions of Russia. The results of the study are of practical significance for the strategic planning of the tourism sector development, which ensures the development of domestic and inbound tourism. Analysis of the functioning of the tourism sector in the regions of the Russian Federation allows concluding the necessity to take a set of measures to stimulate effective investment activity in a number of tourism clusters, harmonizing the strategies of the state and business, which will contribute to the renewal and competitiveness of this type of economic activity.

scholarly journals Prospects and limitations of smart specialization development for Russian regions

2021 ◽  
Vol 295 ◽  
pp. 01009
Author(s):  
Anatoly Gretchenko ◽  
Alexander Gretchenko
Keyword(s):  
Strategic Planning ◽  
Goal Setting ◽  
Russian Federation ◽  
Innovation Policy ◽  
Russian Regions ◽  
Target Value ◽  
The Subject ◽  
The Russian Federation ◽  
Smart Specialization

The article examines the possibilities of the smart specialization strategy for the regions of the Russian Federation as a tool for the complementary development of territories based on knowledge and innovation. The analysis of the application of the smart specialization strategy is carried out on the basis of the author’s indicators that have the following functional and target value: the goal setting of the subjects of the Russian Federation, the methodological tools for managing the development of the subject of the Russian Federation, the potential for the implementation of the smart specialization strategy. As an object of research, the documents of strategic planning of the subjects of the Russian Federation until 2020-2030 are considered. It is concluded that the current nature of the socio-economic and innovation policy reflected in the documents of the strategic planning of the regions of the Russian Federation does not fully correspond to the principles of the smart specialization strategy, but there is a certain methodological continuity of approaches, which gives grounds to draw conclusions about the possibility of using this methodology.

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