scholarly journals DIFFERENTIATED APPROACH PROBLEMS TO INNOVATIVE DEVELOPMENT MANAGEMENT IN RUSSIAN REGIONS

2019 ◽  
Vol 7 (4) ◽  
pp. 1262-1268 ◽  
Author(s):  
Marina V. Rajskaya ◽  
Anzhella A. Sagdeeva ◽  
Irina A. Gusarova ◽  
Yuliya V. Panteleeva ◽  
Tatyana V. Malysheva ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Industrial Sector ◽  
Innovation Activity ◽  
Innovative Development ◽  
Russian Regions ◽  
Main Research ◽  
Development Management ◽  
Teachers And Students ◽  
Federal Districts ◽  
Degree Of Innovation

The purpose of the article The purpose of the study is to determine the features of factors’ development and systematization affecting the degree of innovation activity and efficiency of projects in the Russian regions. Materials and methods: The main research methods used in the article are the method of description, which allowed determining of the level and trends of Russian regions’ innovative development; the method of cluster analysis for regions’ classification by innovative activity’s parameters in order to identify the characteristics and determine the directions of the target differentiated approach to the development of innovation. Results of the research: The article presents the analysis of innovative development dynamics of the Russian regions’ industrial sector; the tendencies of scientific and innovative activity’s financing in the Federal districts; the regions’ classification by the parameters of innovative activity in order to identify the characteristics of innovations’ development and commercialization. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of differentiated approach problems to innovative development management in Russian regions is presented in a comprehensive and complete manner.

scholarly journals Differentiation of Innovative Development Strategies of Regions for Improving the Effectiveness of Socio-Economic Policy in the Russian Federation

2020 ◽  
Vol 16 ◽  
pp. 1302-1317
Author(s):  
Alla F. Sukhovey ◽  
Irina M. Golova
Keyword(s):  
Comparative Analysis ◽  
Innovation Policy ◽  
Development Strategies ◽  
Innovation Activity ◽  
Innovative Development ◽  
Russian Regions ◽  
Innovative Strategy ◽  
Innovative Strategies ◽  
Relationship Of ◽  
Educational Potential

The study aims to develop a differentiate d approac h t o th e elaboratio n o f innovativ e developmen t strategie s o f Russian regions, which allows an effective implementation of innovative paradigms, considering the specificity of scientific and technical, innovative, and production and technological potential of regions. The analysis of international experience of innovative development illustrates the need to consider regional features when creating innovative strategies. We examined the dynamics of the innovative potential of Russian regions over the past decade. We hypothesise that an effective targeted innovative strategy of a region should be closely related to its socio-economic strategy, relying on the most relevant scientific, technological, and educational potential. We identified 4 main criteria for differentiating innovative strategies. These criteria application increases the effectiveness of innovation policies. These factors include the relationship of regional innovative strategies with relevant socio- economic strategies, the innovation and technological specialisation of the regions, regional needs for innovative transformations for the future, and forms of innovation activity. A comparative analysis of innovation and production capabilities and needs of Russian regions showed significant differences in the number of people employed in research and development, technological innovation costs, manufacturing output and other indicators. Based on the analysis, we identified top 15 regions, which are the most innovation-ready. The study used comparative analysis methods, economic and statistical methods, and forecasting methods. We proposed an algorithm for using a differentiated approach for strategizing regional innovative development. Finally, we concluded that a differentiated approach to the development and implementation of innovative development strategies allows improving the efficiency and targeting of state innovation policy through more efficient use of available resources and opportunities to strengthen the sustainability of regional communities. The article is intended for experts in the field of theory and practise of managing the innovative development of regions.

Trends of innovative development of Russia from the standpoint of interaction of economic levels

2020 ◽  
Vol 19 (3) ◽  
pp. 27-48 ◽  
Author(s):  
Elena F. Nikitskaya ◽  
M. A. Valishvili ◽  
Irina A. Gorbacheva ◽  
T. P. Oslopova
Keyword(s):  
Innovation Policy ◽  
Innovation Process ◽  
Regional Level ◽  
Innovation Activity ◽  
Innovative Development ◽  
Russian Regions ◽  
Slowing Down ◽  
Russian Economy ◽  
Municipal Level ◽  
Statistical Indicators

The article analyzes trends in innovative development at the national, regional and municipal levels of the Russian economy. The situation of innovation stagnation in the country is revealed, which occurred despite the active innovation policy pursued by the Federal government. As a result of the study of statistical indicators, it was found that low innovation activity in the Russian economy is due to the fact that innovation growth is significantly slowing down at the regional level. The authors concluded that the sharp differentiation of innovative production volumes in the Russian regions is a consequence of the gap in the interaction of economic levels, as well as the weak involvement of municipalities in the innovation process. Within the framework of the study, a scheme of interaction between government authorities for the development of innovative activities at the municipal level has been developed.

scholarly journals THE FEATURES OF INNOVATIVE ACTIVITY IN THE RUSSIAN REGIONS

Globus ◽  
2021 ◽  
Vol 7 (1(58)) ◽  
pp. 27-29
Author(s):  
А.A. Kokorina ◽  
I.A. Koroleva
Keyword(s):  
The State ◽  
Innovative Activity ◽  
Innovation Activity ◽  
Russian Regions ◽  
Classification Of Regions ◽  
Degree Of Innovation

The article discusses the problem of enhancing innovation in the regions. The classification of regions according to the degree of innovation activity is given. The role of small innovative companies is defined. The article provides an overview of the possibilities for the development of innovative activity in the regions, measures taken by the state to develop innovations and identifies possible ways to improve support.

scholarly journals Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 294 ◽  
Author(s):  
Anna Firsova ◽  
Galina Chernyshova
Keyword(s):  
Innovation Policy ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Innovation Activity ◽  
High Tech ◽  
Innovative Development ◽  
Russian Regions ◽  
Regional Innovation ◽  
Innovation Development ◽  
Average Growth

The aim of the work was to evaluate the dynamics of regional innovation development and compare the Russian regions according to their innovation efficiency, used resources, and achieved results. To estimate direct and indirect innovation effects, this study used the data on Russian regions according to variables of the innovative product volume, the share of high-tech products in the gross regional product (GRP) structure, the number of used patents, and investment in innovation activity for 2006–2017. To obtain a representative sample, a cluster analysis was applied as a preliminary step, which made it possible to select a group of regions that were most advanced in terms of their innovative development. Output-oriented data envelopment analysis models were applied for Malmquist Productivity Index calculation. The obtained results indicate the average growth of total factor productivity of regional innovation development over time. The main source of innovative development is largely derived from the economy of scale, while the effectiveness of regional innovation systems is basically increasing through broader resource bases, rather than through its effective utilization. The research findings can be applied to diagnose regional innovation effectiveness, justify public investment in research and development (R & D), and identify the priorities of regional innovation policy for specific regions.

scholarly journals Innovative Development of chinese Regions: Experience and Recommendations for Russia

2021 ◽  
Vol 12 (2) ◽  
pp. 145-159
Author(s):  
Yushan Wang
Keyword(s):  
Economic Development ◽  
Innovation Policy ◽  
Linear Regression Analysis ◽  
Well Being ◽  
Innovation Activity ◽  
Innovative Development ◽  
Russian Regions ◽  
Russian State ◽  
Scientific Technical ◽  
Management Experience

Purpose: of the article is a parametric comparison of the features of the development of the regions of China and Russia for the possibility of using the Chinese experience in managing innovative development.Methods: comparison of the innovative potential of Russia and the PRC, as well as the possibilities of using the Chinese experience in the management of scientific, technical and innovative development in Russia was carried out using linear regression analysis and comparison of its indicators. Analysis and comparison were carried out using statistical data on innovative and economic development in statistical collections of Russia and China.Results: the article discusses the possibilities of using Chinese management experience in the development of the spheres of science, technology and higher education for the innovative and economic development of Russian regions. To a large extent, the experience of the PRC is already actively used in Russian state practice, while, in the context of Russia's economic difficulties in recent decades, it does not always work successfully. The work shows that the regions of the PRC are rapidly increasing their innovative activity in recent years, which contributes to the rapid growth of the well-being of their population. The number of regions-innovative and economic leaders is growing. Among all regions of Russia, only Moscow in level of innovational activity and GRP corresponds to the leading regions of China. The paper also shows that changes in the indicators of innovation activity of Russian regions have a relatively weak effect on their economic development.Conclusions and Relevance: it is recommended to carefully study the experience of the Chinese regions-innovation leaders and the Chinese innovation policy in general for application in Russia, as well as the development of Russian-Chinese innovation and scientific and technological cooperation.

scholarly journals Preparation of Innovative Development Rating of Russian Regions by the Level of University Involvement

2021 ◽  
Vol 18 (4) ◽  
pp. 35-47
Author(s):  
Irina Yu. Vygodchikova
Keyword(s):  
Performance Indicators ◽  
Processing System ◽  
Theoretical Research ◽  
Innovation Activity ◽  
High Tech ◽  
Innovative Development ◽  
Russian Regions ◽  
Regional Universities ◽  
University Performance ◽  
Russian Universities

The paper presents method of clustering and grouping the university performance indicators to prepare an integral rating of Russian regions by the level of university involvement in innovative development of Russian regions. The following problems that require the management influence of state structures are considered: the role of the research base of regional universities in strengthening the innovative potential of regions, the degree of involvement of universities in the innovative regional space.The aim of the study is to develop a rating system for Russian regions according to the degree of university involvement in innovative development using mathematical tools and an intelligent data processing system. The main hypothesis of the article is the existence of a link between regional innovative development and the effectiveness of university contributions. The mathematical approach involves the consideration and multidimensional ranking of the main groups of university performance indicators in order to obtain cluster classifications within each of the problems posed. The solution to the problems is to build a barometer of innovation activity in the form of a multi-purpose problem-oriented rating.Materials and methods. An approach is applied that includes the assessment and multidimensional ranking of the contribution of universities using groups of integral indices created on the basis of aggregation of several important indicators of the university’s activity. Computational experiments were conducted according to the data of the Ministry of Education and Science for the regions of Russia and regional universities. 16 indicators of Russian regions for 2016 are considered.Results and discussion. The ranking and comparison of universities according to the degree of involvement in the innovative development of the region was performed using an indicator model and aggregation depending on the target problem. Quantitative indicators of the quality of university’s activities by regions are obtained, which allow us to obtain an integral rating of Russian regions by the level of university involvement. Unlike other approaches, the author’s method includes three components, which are independent integral indexes and indicate the level of involvement of universities in regional innovative development. Statistical data on the leading indicators of Russian universities for 2016 were processed. The methodology Science-model with three factors - the model with regrouping, named by the author A-B-C, showed the high potential of Russian universities to balance their regional demand as management research centers.Conclusion. The results of the study are compared with the ratings of the well-known agencies. The author hopes that soon Russia will have a reliable scientometric system at the level of rating universities on their involvement in the innovative development of Russia, such a rating will be an indisputable argument in favor of financing regional universities. The author laid down a high requirement: compliance with the three models, only in this case, regional universities can receive funding from the municipality, after redistribution from the center. At the same time, it is necessary to carefully choose universities in which projects will receive development and perspective. Regional authorities must meet the requirements to receive the necessary investments in promising projects. The scientific potential and demand for theoretical research for their full application at all enterprises, the combination of theoretical science and practical implementation will reduce the cost of stabilizing outdated technologies in all areas of knowledge and use the experience of older generations and the strength of young people for high-tech production growth in Russia. Therefore, the results of the study will be useful to federal authorities and financial and credit organizations that provide financing.

scholarly journals Demographic factor of intensification of innovation activity of Russian regions

2020 ◽  
Vol 210 ◽  
pp. 19001
Author(s):  
Ekaterina Kovanova ◽  
Nogan Badmaeva ◽  
Sayan Alekseev
Keyword(s):  
Comparative Method ◽  
Innovation Activity ◽  
Russian Regions ◽  
Main Research ◽  
Russian Economy ◽  
Demographic Indicators ◽  
Working Age ◽  
Demographic Processes ◽  
Working Age Population ◽  
Rapid Activation

The article presents an analysis of the influence of demographic factors on the development of innovations in the regions of Russia. The relevance of the study is associated with the fact that the Russian economy is distinguished by the presence of a large number of various problems that impede the rapid activation of innovative mechanisms. Not every region has opportunities for an innovative breakthrough. The purpose of the article is to compare the Russian regions (Kalmykia, Buryatia) in terms of the characteristics of the main demographic processes and their influence on the innovative development of regions. The article analyzes the following demographic indicators: population size, birth and death rates, age structure, working-age population, etc. The main research methods are the comparative method, analysis of statistical information. Analysis of the data presented showed that complex demographic processes are taking place in the republics. High migration outflow of the population, high mortality rate, a decrease in the share of the working-age population, migration of the rural population — all this affects the demographic potential of the region and, accordingly, the indicators of innovation development.

scholarly journals Models of Regional Development in Russia: Level of Industrialisation and Innovative Performance

2021 ◽  
Vol 32 (3) ◽  
pp. 247-257
Author(s):  
Yuriy A. Doroshenko ◽  
Maria S. Starikova ◽  
Viktoriia N. Riapukhina
Keyword(s):  
Industrial Development ◽  
Transport Infrastructure ◽  
Development Model ◽  
Innovation Activity ◽  
Innovative Development ◽  
Russian Regions ◽  
Industrial Growth ◽  
Innovative Performance ◽  
Low Efficiency ◽  
Post Industrial

The growth in the share of industry in the structure of Gross Domestic Product due to an increase in its competitiveness, causes a multiplier effect of accelerating economic growth, reducing unemployment and developing social and transport infrastructure. All these imperatives actualise the task of deepening the analysis of the level of industrialisation and innovative performance of the national economy and its regions. To achieve this goal, a theoretical analysis of the relationship between industrial growth and innovation activity was carried out, and the problems of industrial growth of the Russian economy were identified. The proposed toolkit is based on assessing the level of industrialization and innovative performance of the region. Based on their comparison, four models of industrial and innovative development are distinguished: model of non-industrial development, model of post-industrial development, model of neo-industrial development, and model of industrial development. According to the results of the study, the structure of Russian regions by the type of industrial-innovative development model is relatively stable and insufficiently progressive. Only a third of the regions have high innovative performance. The lack of the required balance between the development of industrial potential and the innovative productivity of Russian regions is associated with the low efficiency of the applied industrial policy measures. The research results can be useful for assessing the quality of industrial growth of regions in countries with transitional economies.

Studying the innovative development of regional economy as an imperative of sustainable socio-economic growth in Russia, using neural network modeling

2021 ◽  
Vol 20 (8) ◽  
pp. 1394-1414
Author(s):  
Nikolai P. LYUBUSHIN ◽  
Elena N. LETYAGINA ◽  
Valentina I. PEROVA
Keyword(s):  
Neural Network ◽  
Economic Growth ◽  
Neural Networks ◽  
Russian Federation ◽  
Network Modeling ◽  
Innovation Activity ◽  
Neural Network Modeling ◽  
Innovative Development ◽  
Russian Regions ◽  
The Russian Federation

Subject. The article deals with the innovative potential of Russian regions in light of the national goal of the Russian Federation development, reflecting decent and productive work. Objectives. The purpose is to study the innovation activity in Russian regions, using neural networks, to ensure breakthrough innovative development of the Russian economy. Methods. We employ a cluster analysis on the basis of neural network modeling, using information technologies. For the research, we selected neural networks (Kohonen self-organizing maps), which are focused on unsupervised learning and are a promising tool for clustering and visualization of multidimensional statistical data. Results. The result of neural network modeling was the ranking of 85 regions of the Russian Federation into 5 compact groups (clusters) regardless of their affiliation to federal districts of the Russian Federation. The study shows that there is a strong differentiation of the number of regions in these clusters. We obtained average values of indicators in the clusters and compared them with all-Russian indicators. Conclusions. Breakthrough in the socio-economic growth of the Russian Federation is associated with a set of measures that involve stimulating innovation activities in regions, which are characterized by different level of innovation development. Such measures will increase the interest of the real sector of the economy in using scientific development, advanced production technologies, higher-productivity employment opportunities, and, as a result, will encourage socio-economic growth and people's quality of life.

Regional banking system in Russia: Trends and factors of spatial distribution

2017 ◽  
pp. 123-141 ◽  
Author(s):  
S. Ageeva ◽  
A. Mishura
Keyword(s):  
Spatial Distribution ◽  
Commercial Banks ◽  
Banking System ◽  
Federal District ◽  
Russian Regions ◽  
Siberian Federal District ◽  
Federal Districts ◽  
Banking Business ◽  
Banking Institutions

We examine the spatial distribution of banks in Russian regions to identify the factors that affect changing territorial architecture of the banking system. The object of the study is dynamics of the number of commercial banks and their branches in 1991-2016. Besides the well-known tendency of concentration of the banking business in Moscow and reducing the number of banks in other regions we analyzed situation in the federal districts taking as an example the Siberian Federal District. This approach allowed us to formulate hypotheses about the causes of differences in the availability of banking institutions in Russian regions.

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