2018 Issue №1

The factors and features of localization of large business interests in 14 European coastal regions of Russia are analyzed. It is shown that the interest of large business in the coastal zones is commonly associated with the concentration of large oil and gas fields (on the shelf and in the coastal zone), with the logistics tasks (export-import operations), and (to a lesser extent, mainly Black Sea coast) with the implementation of certain recreational projects. Localization of large business (its head offices, branches, individual enterprises) is also conditioned by the general trend for economic activities, infrastructure and population to get advanced to the sea (some parts of the coast), which serves as one of the significant factors (and indicators) of economic activity, and cross-border clustering. Focusing on the most important seaports (Novorossiysk, Ust-Luga, St. Petersburg, Murmansk, etc.) cross-border activity of large business acquires trans-aquatorial properties and characteristics; clustering, thus, receives additional impulses, while the clusters demonstrate networking, dispersed forms in their development.

The level and dynamics of development of retail trade in the context of the subjects of the Russian Federation are highly differentiated. Differentiation is influenced both by the income level of the population and by other factors, since there is no functional dependence between per capita income and the volume of per capita retail trade. Even weaker is the connection between the dynamics of these indicators. The article reveals regional features of the level and dynamics of retail turnover in the context of subjects of the Russian Federation in 2000—2016 through the methods of economic statistical and cartographic analysis. The results of the study are presented in graphs and tables. They can be used to justify the regional policy of the Federation in promoting retail trade development. The authorities of the subjects of the Russian Federation can study the experience of more advanced regions, while network retailers can determine geographical vectors of their expansion.