Comparative Assessment of Innovative Development of the Far North Regions (original) (raw)
Related papers
2016
The present article analyzes the current approaches to the evaluation of innovation potential of the individual territories of the Russian Federation. The technique of evaluation of the innovation potential on the example of the Central Federal District regions by means of the functional model of evaluation is given consideration to. The algorithm of the innovation potential evaluation proposed by the authors includes six groups of indexes integrating twenty-eight individual indicators. The main advantages of this technique are studied. The authors’ approbation of the proposed technique on the example of the Central Federal District has been carried out.
On the Introduction of the Innovation System in the Eastern Regions of the Russian Federation
DEStech Transactions on Social Science, Education and Human Science, 2020
The aim of the research is to identify the role of the Siberian and Far East regions of the Russian Federation in the innovative potential and to rank these regions according to their innovative activity. Employing multivariate analysis methods, the authors conclude that with a small share of enterprises engaged in innovations, funds spent for these purposes, and the lowest volumes of innovative products in the country, the regions farthest from the central European part have significant total innovative potential, ranking second and third in innovative activity among other federal districts of Russia. Based on the results of the component analysis of the general economic infrastructure availability, a rating of the eastern regions that are part of the Siberian and Far Eastern Federal District is compiled.
COMPARING THE FEDERAL DISTRICTS OF THE RUSSIAN FEDERATION BY THEIR REGIONAL INNOVATION PERFORMANCE
Proccedings of SPBPU IDE-2021: 3rd International Scientific Conference on Innovations in Digital Economy Saint - Petersburg Russian Federation October 14 - 15, 2021, 2021
According to the Russian Federation's innovative development strategy, innovations, modernization of innovation processes, and navigating the national economy towards an innovation course are the central points that can make the national economy grow, increase competitiveness, form an appropriate innovation climate and mutual integration of the processes taking place in R&D, education and business. The mapping out of regional strategies for innovative development is directly related to analytical support and investigation of the specifics and dynamics of the regional capacity for innovation. Disproportionality is among the central problems of innovative development in Russia. The intensity and effectiveness of innovation activities can be clearly seen in the regions that are the drivers of economic growth. Among such regions are the Central, Northwestern and Volga Federal Districts. Another problem of innovative development is that the processes of translating information, knowledge and innovations from the leading regions to other ones are not very well formed. As a result, regional innovative development becomes isolated. Moreover, the problem is aggravated by insufficient involvement of business, lack of interaction and engagement of educational and R&D spheres, inefficient innovation infrastructure. To make strategic projects effective, it is necessary to study comprehensively not just the capacity for innovation, but also the indicators that form it. This paper provides the results of the calculation, study and comparison of the RF federal districts' capacity for innovation.
Models of Regional Development in Russia: Level of Industrialisation and Innovative Performance
2021
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...
Economies
Assessment of the innovation climate in Russian regions is a priority. Given the uneven socio-economic development of the federation subjects, it is essential to determine their readiness for the transition to an innovative course. However, due to the high degree of differentiation in the socio-economic development of Russian regions, when using methods based solely on tracking indicators, there is a decrease in the objectivity of the assessment. This is caused by a significant spread in the values of the indicators, which provokes the distortion of the final calculations. To avoid the subjectivization of calculations, it is appropriate to supplement them with the construction of functional dependencies. In this regard, the purpose of the study was to substantiate hypotheses about the possibility of using the production function to assess regions’ innovation climate. The process of evaluating the innovative climate of meso-territories is implemented using the methods of statistical ...
SHS Web of Conferences, 2021
The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. In this article, we used an approach that allows comparing an arbitrary set of indexes of innovative development of the Russian Federation regions in the space of differentiation characteristics used in solving project management problems. Eight indexes are compared: four author's indexes constructed using estimates of the technical efficiency of interaction between science and business in the region and four published indexes with a similar applied focus. Comparative analysis of indices is carried out in the space of expert-defined characteristics of regional differentiation. An approach has been tested to identify indexes that are not distinguishable when solving control problems parameterized using differentiation characteristics.
Innovation as a factor of regional economic growth: evidence from Russia
Innovation management and corporate sustainability. IMACS 2015. Proceedings of the 3rd International conference. 21-22 May, 2015. Vysoká škola ekonomická v Praze, Praha, Czech Republic. pp. 251-262 The aim of the research is to determine which factors of innovation are relevant to generate economic growth at the regional level and which to reap the benefits. The new growth theories suggest that the source to increase returns may be agglomerations as geographic concentrations of knowledge. The paper analyses the concentrations of knowledge as agglomerations of expenditure on Research and Development, and on science and technology. It entails the number of scientists and engineers, scientific and technological personnel of innovation enterprises in the various Russian regions. The Exploratory Factor Analysis method is used to examine the structure of the innovation inputs and outputs. The paper empirically evaluates the impact of innovation factors on the economic growth in the regions and proposes the strategy to improve efficiency of the regional innovation system.
Innovation potential of regions in Northern Eurasia
Northern territories (including the Arctic) occupy over 80% of Russian area. Development of these regions is based on ‘resource’ model, while other approaches have been ignored because of severe environmental conditions. The aim of this study was to assess an ability of northern regions to generate and diffuse innovations. Russian innovation space can be described by core-periphery model: the largest cities, located in the main strip of settlement, are the centres for generation and diffusion of innovation on the northern periphery. Emerging innovation clusters in the sphere of environmental management coincide with territorial structure of existing innovation space, but with significant northern bias. The study shows high innovation capacity of northern organizations in applying of new technologies.
Assessment of the impact of innovative factors on economci growth of the Russian regions
Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018), 2018
The goal of the research is the verification of the hypothesis that an innovative economic growth has a considerable importance for the regions with a high development level and is less significant in the explanation of the growth in other regions. The government and public expenditures for R&D are concentrated in a small number of the leading regions and also in those which are located closer to the industrial border. The regions beyond the borders of these technology intensive centers depend as a rule on less technological forms of innovation and on the technology transfer. We determined the following factors which are important for the regional growth: human capital, infrastructure, labour market, innovation, agglomerations interactions and productivity. As the factors characterizing the innovations we use the number of the issued patents, internal expenditures for the R&D, expenditures for technological innovations, number of employees involved in the R&D, volume of innovative goods, works and services and innovative activity of organizations. The innovations can have a positive impact on the long term growth. The data were collected in 83 regions of Russia in 2005-2015. The model of a regression with a constant elasticity was used. In the case when the impact of the competitive environment factors on the regional economic growth is significant it is difficult to assess the importance of the innovations. The division of the regions into groups according to the GDP per capita allows us showing the significant factors of their innovative growth. From the point of view of a practical application it is obvious that the regions with the development of the regions lower than average GDP per capita are expected to develop due to the innovations. Such institutional factors like management, leadership, efficient use of the potential available in the region are expected to take into account the active role of the innovations for the working force. Using as an example the Russian regions we showed that the provision of an innovative economic growth has a considerable impact for the regions with the level of the development lower than average and is less important for the explanation of the growth in other regions.
The article presents a matrix of pairwise correlations for 26 regions of the Central and NorthWest Federal Districts of Russia between ten scientific-innovation and macroeconomic indicators comprising a number of objects of the innovation infrastructure according to two databases, a number of universities, university potential which had been calculated based on Webometric rankings of universities, a number of Scopus-publications in universities of the regions during the year 2015, and, in general, the Gross Regional Product, a number of population, the Gross Regional Product per capita, population density. In all cases there were obtained high values of Pearson's Correlation Coefficient. It has been concluded that a high level of scientific-innovation development of regions is based on a high degree of social-economic development of their urbanized territories that is the Gross Regional Product and a number of population, rather than the reverse.