GEOGRAPHICAL EXPERTISE OF POPULATION DENSITY OF THE RUSSIAN FEDERATION

Yu. V. Faronova, A. Akhunov, T. P. Telnova, S. Litvinova, A. Khalilova
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Abstract

Population distribution and population density are relevant economic and geographical indicators of spatial planning and management. The Russian Federation as a unique territorial entity needs economic and geographical analysis and expertise in order to determine the types of subjects of the country by population density in conjunction with the socio-economic interpretation of this geographical indicator. Research objectives: 1) implementation of the socio-economic assessment of population density; 2) determination of the types of subjects of the Russian Federation by density levels and the level of socio-economic assessment of population density; 3) geographical examination of population density – a conclusion on the geographical patterns and paradoxes of population density and the socio-economic situation of the constituent entities of the Russian Federation by comparing the constituent entities of the country with models of territories based on the World Bank review. To solve the problem of performing a socio-economic assessment of population density, the authors calculated an integral indicator of the socio-economic assessment of population density. To determine the types of subjects of the Russian Federation by levels of density and the level of socio-economic assessment of population density, the subjects were grouped according to these indicators and a corresponding geographic matrix was compiled. The regions of the country with low population density, located in the Ural, Siberian, and Far Eastern Federal Districts of the country, far from the European center, became the nuclei of the high estimate of the population density.
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俄罗斯联邦人口密度的地理专门知识
人口分布和人口密度是空间规划和管理的相关经济和地理指标。俄罗斯联邦作为一个独特的领土实体需要经济和地理分析和专门知识,以便根据人口密度确定该国的主体类型,并结合对这一地理指标的社会经济解释。研究目标:1)实施人口密度社会经济评价;2)根据人口密度水平和人口密度的社会经济评估水平确定俄罗斯联邦主体的类型;3)人口密度的地理检查-通过将俄罗斯联邦各组成实体与世界银行审查的领土模式进行比较,得出关于人口密度的地理格局和矛盾以及俄罗斯联邦各组成实体的社会经济状况的结论。为了解决对人口密度进行社会经济评价的问题,作者计算了人口密度社会经济评价的一个积分指标。为了按人口密度水平和人口密度的社会经济评价水平确定俄罗斯联邦受调查对象的类型,根据这些指标对受调查对象进行了分组,并编制了相应的地理矩阵。人口密度低的地区,位于乌拉尔、西伯利亚和远东联邦区,远离欧洲中心,成为人口密度高估计的核心。
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