Analysis reveals environmental quality influences socio-demographic potential in Siberian cities, indicating urban status and economic factors play key roles.
In the research the specialties of location of Siberian cities are indicated, their significant differentiation according to quantity in the regions and status according to population quantity. The author analyzed indexes of city environment quality for evaluation of influence of natural and social-economic factors on demographical potential formation. It was revealed that status of a city according to population quantity and its social-economical features have influence on the city environment quality index, so the cities with resource orientation of economics have higher indexes of city environment quality — in Tyumen oblast, Khanty-Mansi Autonomous Okrug-Yugra (KhMAO-Yugra) and Yamalo-Nenets Autonomous Okrug (YaNAO). In the work it is underlined that regional centers are mono-centers, where stable increase of population is observed, high indexes of city environment quality are revealed and 30–60 % of region population is concentrated there. Three types of age structure of population are revealed in regional centers: progressive, stationary and regressive, in the base of which specialties of natural and migration processes lay. In such cities as Kyzyl, Gorno-Altaysk, Ulan-Ude, Yakutsk “young” age structures are provided with high long-term indexes of birthrate; in Khanty-Mansiysk, Salekhard, Tyumen natural growth and migration increase of population is observed. It is revealed that the cities with stationary age structure — Irkutsk, Krasnoyarsk, Novosibirsk, Tomsk, Chita and Abakan are developed multifunctional centers, that attract population, but natural decrease of population is typical there. It is revealed that in the cities with regressive type of age structure — Barnaul, Kemerovo and Omsk — processes of natural and migration decrease of population happen. The author analyzed and graphically shown relationship between environmental quality in cities and indexes of social-demographical potential with use of score.
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Yu. N. Dmitrieva (2025) studied this question.
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