Open AccessModeling and forecasting the influence of social infrastructure development of interregional migration in Russia
Author(s) -
М. М. Низамутдинов,
В. В. Орешников
Publication year - 2021
Publication title -
èkonomika v promyšlennosti
Language(s) - English
Resource type - Journals
eISSN - 2413-662X
pISSN - 2072-1633
DOI - 10.17073/2072-1633-2021-4-471-480
Subject(s) - attractiveness , russian federation , population , government (linguistics) , economic geography , regional science , geography , economic growth , economics , sociology , demography , psychology , linguistics , philosophy , psychoanalysis
At present demographic development of Russia and its regions is one of the most important factors of the country’s economic growth and also is key priority of the state government system. In spite of that, the issues of interregional migration are poorly represented in the strategic planning documents both at the federal and regional level. The major migration-induced population growth can be observed in the federal cities, capital areas and central part of Russia. At the same time in 2019 there was migration loss in 47 subjects of the Russian Federation. In many regions it is combined with the natural population loss aggravating the situation. The emerging closed loop (decreasing attractiveness of the area – migration loss – deteriorating social and economic situation – decreasing attractiveness of the area) results in increasing contradictions. Variety of factors determining the direction and the dynamics of migration flows requires a comprehensive study of these processes. The analysis conducted revealed that the level of development of the territory’s infrastructure is of great significance in this matter. Therefore, this direction is considered to be the main one. For quantification the authors established a complex of individual indicators which were preprocessed and consistently merged into directional integral and later into a single integral indicator of the level of social infrastructure development. Moreover, it is advisable to define five groups of regions according to the degree of their potential’s realization and to consider the affiliation of the subject of the federation to a particular group as an additional factor. Thus, the authors obtained the regression equation which describes the interrelation between the parameters under study. ANOVA revealed the opportunity of its practical application. Based on this model, a scenario forecast for the development of social infrastructure in Russia and its regions has been formed.