Inna MANAEVA
Associate Professor of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru
In.manaeva@yandex.ru
Anna TKACHEVA
Assistant of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru
atkacheva1993@gmail.com
Elena CHENTSOVA
Associate Professor of the Department of Economics and Management, National University of Science and Technology “MISiS”(Stary Oskol branch), Russia,http://sf.misis.ru
chencowa@mail.ru
Elena ILYICHEVA
Deputy Director for Educational and Methodological Work, National University of Science and Technology “MISiS”(Stary Oskol branch), Russia,http://sf.misis.ru
EV.ilicheva@yandex.ru
Abstract
Today, determining the priorities of spatial and economic development of Russian cities is a key strategic goal in the Russian Federation. Acting as points of growth and connecting elements of economic processes, cities form a common framework of settlement. Existing urban disparities distort the territorial space, demonstrate its insufficient integrity, which reduces the quality of life of the population and poses a threat to socio-political stability.
The purpose of the study is to determine the features of the interconnectedness of cities in the Russian Far East using the Moran index. The estimation method is based on the calculation of the global and local Moran indices to determine the effects of connectivity of territories by indicators: “population size”, “population density”, “volume of products shipped per capita”, “average monthly salary”. The information base was the data of the Federal State Statistics Service, the distance calculation was carried out according to the data of the automobile portal. The object of the study is the cities of the Far Eastern Federal District, with a population of more than 100 thousand people in 2017. The calculations made it possible to determine the type (direct and reverse) and the strength of interterritorial relations according to the considered parameters. According to the indicators “population size”, “population density”, there is a negative autocorrelation, according to the indicators “volume of products shipped per capita”,” average monthly salary”, there is a positive autocorrelation. The calculations revealed the presence of polarization in the territory of the Russian Far East. The strongest relationships are between Vladivostok (LISA -0,314), Khabarovsk (LISA -0,026) in terms of population; Artem (LISA -0,165) Vladivostok (LISA -0,084) – population density; Artem (LISA 0.116), Komsomolsk-on-Amur (LISA -0,036) – the volume of products shipped per capita; Ussuriysk (LISA 0.081), Artem (LISA 0.092) – average monthly wages.
The scientific significance of the conducted research consists in the development of theoretical and methodological provisions in relation to the assessment of spatial interterritorial relations. In the future, work will continue in terms of studying autocorrelation in dynamics, expanding the analyzed indicators and identifying spatial and temporal shifts, for a deeper understanding of the patterns of spatial development of cities.
Keywords: Moran index, spatial autocorrelation, inter-territorial connection, city
JEL classification: R12
pp. 123-133
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