Abstract
The article examines the state of the relationship parameters of trade and production activities in the regions of Russia for the period 2005–2015. Virtual clustering was used as a research method. The study revealed the presence of four types of virtual clusters, differing in the parameters of trade and production activities: the trade and mining cluster, which includes regions with developed mining industry and the city of Moscow and the highest level of trade development; commercial and industrial cluster, including a significant number of regions with traditionally developed manufacturing industry and a fairly high level of development of trade. The spatial localization of the cluster is highly resistant; shopping cluster including regions with a relatively constant state of trade and major changes in the industrial and agricultural sectors of the economy; the cluster peculiar contradiction between the spatial instability and functional constancy. For the cluster characterized by the predominance of trade over all other activities and changing the composition of its constituent regions; - trade and agricultural cluster, characterized by a relatively high level of development of agriculture and trade.
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Korolyova, O.V. (2020). Virtual Clustering of Russian Regions in the Field of Trade and Production Activities. In: Popkova, E. (eds) Growth Poles of the Global Economy: Emergence, Changes and Future Perspectives. Lecture Notes in Networks and Systems, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-15160-7_136
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DOI: https://doi.org/10.1007/978-3-030-15160-7_136
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