The Spatial Change of the Indicators of Consumer Market

Improvement of the quality of life throughout the country is a current issue when performing the primary targets of the market. The research on the spatial organization of the consumer market are known worldwide. In Russia, the concept of the spatial organization of the regional consumer market as a...

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Main Authors: Venera Maratovna Timiryanova, Alexander Fedorovich Zimin, Ekaterina Valerievna Zhilina
Format: Article
Language:English
Published: Russian Academy of Sciences, Institute of Economics of the Ural Branch 2018-03-01
Series:Экономика региона
Subjects:
Online Access:http://economyofregion.com/archive/2018/68/3017/pdf/
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author Venera Maratovna Timiryanova
Alexander Fedorovich Zimin
Ekaterina Valerievna Zhilina
author_facet Venera Maratovna Timiryanova
Alexander Fedorovich Zimin
Ekaterina Valerievna Zhilina
author_sort Venera Maratovna Timiryanova
collection DOAJ
description Improvement of the quality of life throughout the country is a current issue when performing the primary targets of the market. The research on the spatial organization of the consumer market are known worldwide. In Russia, the concept of the spatial organization of the regional consumer market as an economic system included in the region space has not become widespread yet. This paper presents an assessment of spatial differentiation and spatial autocorrelation in the development of the consumer market. We have analyzed retail turnover, price index for goods, per capita income in 82 regions of the Russian Federation for 2000–2016. To study of spatial differentiation and connectedness, we used statistical and econometrics methods (the oscillation rate, standard deviation, coefficient of variation, Moran index, LISA statistics, regression models, including a spatial lag model and spatial error model). The analysis has shown that the space of consumer market in the Russian Federation becomes more homogeneous. At the same time, there are regions with common and different trends in the development of regional markets. We identified the general trends in the indicators variations: retail turnover per capita, per capita income, price index. Under uncertainty, we could identify two groups of regions. The first group of regions is in the European part of Russia and have a higher growth of the price index. The second group of regions is the Asian part of the country and has more moderate growth. The construction of models with a spatial lag and spatial error has allowed confirming that the spatial aspect is important in the dynamics of retail turnover of the Russian Federation. Further research should investigate the dependencies of regions on interregional deliveries as well as find the ways to improve the spatial organization of the consumer market.
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spelling doaj.art-d4344e29cc8549bb92dfa5eff166f67a2023-08-02T01:02:54ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062018-03-0114116417510.17059/2018–1–13The Spatial Change of the Indicators of Consumer MarketVenera Maratovna Timiryanova0Alexander Fedorovich Zimin1Ekaterina Valerievna Zhilina2Bashkir State UniversityUfa Institute (branch), Plekhanov Russian University of EconomicsBashkir Cooperative Institute (branch), Russian University of CooperationImprovement of the quality of life throughout the country is a current issue when performing the primary targets of the market. The research on the spatial organization of the consumer market are known worldwide. In Russia, the concept of the spatial organization of the regional consumer market as an economic system included in the region space has not become widespread yet. This paper presents an assessment of spatial differentiation and spatial autocorrelation in the development of the consumer market. We have analyzed retail turnover, price index for goods, per capita income in 82 regions of the Russian Federation for 2000–2016. To study of spatial differentiation and connectedness, we used statistical and econometrics methods (the oscillation rate, standard deviation, coefficient of variation, Moran index, LISA statistics, regression models, including a spatial lag model and spatial error model). The analysis has shown that the space of consumer market in the Russian Federation becomes more homogeneous. At the same time, there are regions with common and different trends in the development of regional markets. We identified the general trends in the indicators variations: retail turnover per capita, per capita income, price index. Under uncertainty, we could identify two groups of regions. The first group of regions is in the European part of Russia and have a higher growth of the price index. The second group of regions is the Asian part of the country and has more moderate growth. The construction of models with a spatial lag and spatial error has allowed confirming that the spatial aspect is important in the dynamics of retail turnover of the Russian Federation. Further research should investigate the dependencies of regions on interregional deliveries as well as find the ways to improve the spatial organization of the consumer market.http://economyofregion.com/archive/2018/68/3017/pdf/spatial differentiationspatial autocorrelationretail turnoverprice indexper capita income
spellingShingle Venera Maratovna Timiryanova
Alexander Fedorovich Zimin
Ekaterina Valerievna Zhilina
The Spatial Change of the Indicators of Consumer Market
Экономика региона
spatial differentiation
spatial autocorrelation
retail turnover
price index
per capita income
title The Spatial Change of the Indicators of Consumer Market
title_full The Spatial Change of the Indicators of Consumer Market
title_fullStr The Spatial Change of the Indicators of Consumer Market
title_full_unstemmed The Spatial Change of the Indicators of Consumer Market
title_short The Spatial Change of the Indicators of Consumer Market
title_sort spatial change of the indicators of consumer market
topic spatial differentiation
spatial autocorrelation
retail turnover
price index
per capita income
url http://economyofregion.com/archive/2018/68/3017/pdf/
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