Julia Dubrovskaya, Elena Kozonogova, Julia Karpovich
Perm National Research Polytechnic University, 614990, Perm, Russia
2nd International Scientific Conference – EMAN 2018 – Economics and Management: How to Cope With Disrupted Times, Ljubljana – Slovenia, March 22, 2018, CONFERENCE PROCEEDINGS published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; Faculty of Management Koper, Slovenia; Doba Business School – Maribor, Slovenia; Integrated Business Faculty – Skopje, Macedonia; Faculty of Management – Zajecar, Serbia, ISBN 978-86-80194-11-0
High interregional differentiation in the levels of the well-being of the population and divergence of territories are urgent problems for many countries including Russia, which has experienced serious problems of economic growth in recent years. Thus, according to official statistics, only 5 of the largest Russian regions form about 40% of the country’s GRP. As it was noted by many researchers, these difficulties are largely determined by the uneven spatial organization of the territories. It negatively affects the level of innovative development of the country, which determines the pace and quality of economic growth in the modern world.
According to the INSEAD calculations, Russia ranks only 45th out of 127 countries present in The Global Innovation Index in 2017. In the experts’ view, the most negative factor in this regard is integral index includes the following subindicators: university/industry research collaboration; state of cluster development; etc.
It is obvious, that the low level of interaction between economic entities has a negative impact on the index of innovation development of our country. Therefore, regulatory influences of the authorities should ensure the development of mutually beneficial ties between the territories.
The purpose of this study is to assess the influence of the intensity of interregional interaction on the uniformity of the spatial development of the economy. Methods of mathematical statistics and cluster analysis, system and hierarchical approaches, methods of visualization of the analyzed data were used to obtain the research results. To assess the strength of interregional interaction, the authors used also a gravitational model.
As the results of the work it is worth to note the following ones: the determination of the factors of the country’s spatial development; substantiation of the possibilities to reduce the uneven spatial development of the economy on the basis of intensifying interregional interaction; development of methods for analyzing the effectiveness of interregional interaction; assessment of the impact of interregional interaction on indicators of spatial development of the economy.
Interregional interaction, spatial development, the gravity model, interregional differentiation, economic mathematical methods.
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