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Assessment of the Attractiveness of Large Russian Cities for Residents, Tourists, and Business

Assessment of the Attractiveness of Large Russian Cities for Residents, Tourists, and Business —The article proposes an approach to assessing the attractiveness of large cities of the Russian Federation for residents, businesses, and tourists. As part of the development of this approach, particular parameters of the attractiveness of cities for individual economic agents were determined and an integral indicator was calculated. The hypothesis of the study is based on the fact that high positions of a city in a particular rating do not always guarantee its leadership in other areas; however, in general, the differentiation of places in case of a particular city is more inherent to ratings outsiders than to leading cities. Systemic analysis; factorial, statistical, structural, and dynamic analysis; classification, correlation, and regression analysis; and economic and mathematical modeling were used as research tools. The approach was tested on data for large Russian cities. Both sets of particular indicators characterizing certain areas of research and the approach to forming an integral indicator of the level of attractiveness of cities necessary for a generalized assessment have been determined. The presented results generally confirm the proffered hypothesis. In modern conditions, public authorities should pay special attention not only to the development of individual cities, but to the integrated development of the spatial framework of a territory where cities play a decisive role. The proposed approach to assessing the level of attractiveness of Russian cities makes it possible to obtain logical meaningful results that can be applied to solve problems in these areas. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Regional Research of Russia Springer Journals

Assessment of the Attractiveness of Large Russian Cities for Residents, Tourists, and Business

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References (5)

Publisher
Springer Journals
Copyright
Copyright © Pleiades Publishing, Ltd. 2020. ISSN 2079-9705, Regional Research of Russia, 2020, Vol. 10, No. 4, pp. 538–548. © Pleiades Publishing, Ltd., 2020. Russian Text © The Author(s), 2019, published in Region: Ekonomika i Sotsiologiya, 2019, No. 4 (104), pp. 268–294.
ISSN
2079-9705
eISSN
2079-9713
DOI
10.1134/S2079970520040036
Publisher site
See Article on Publisher Site

Abstract

—The article proposes an approach to assessing the attractiveness of large cities of the Russian Federation for residents, businesses, and tourists. As part of the development of this approach, particular parameters of the attractiveness of cities for individual economic agents were determined and an integral indicator was calculated. The hypothesis of the study is based on the fact that high positions of a city in a particular rating do not always guarantee its leadership in other areas; however, in general, the differentiation of places in case of a particular city is more inherent to ratings outsiders than to leading cities. Systemic analysis; factorial, statistical, structural, and dynamic analysis; classification, correlation, and regression analysis; and economic and mathematical modeling were used as research tools. The approach was tested on data for large Russian cities. Both sets of particular indicators characterizing certain areas of research and the approach to forming an integral indicator of the level of attractiveness of cities necessary for a generalized assessment have been determined. The presented results generally confirm the proffered hypothesis. In modern conditions, public authorities should pay special attention not only to the development of individual cities, but to the integrated development of the spatial framework of a territory where cities play a decisive role. The proposed approach to assessing the level of attractiveness of Russian cities makes it possible to obtain logical meaningful results that can be applied to solve problems in these areas.

Journal

Regional Research of RussiaSpringer Journals

Published: Dec 16, 2020

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