论文标题
多元分类在评估俄罗斯人口收入的区域分化中的应用
The application of multivariate classification in evaluating the regional differentiation by population income in Russia
论文作者
论文摘要
本文通过表征人口收入及其集中度的指标对俄罗斯地区进行多元分类的结果。簇化是根据作者方法进行选择的，以选择确定通过人口收入和相互联系特征评估区域分化的学术新颖性的特征。进行的分析旨在评估通过所考虑的特征对国家领土空间发展的实际规模。群集化结果允许制定一组高收入区域的相对“强”位置的状况（在可预见的将来，构成构成的区域的变化极不可能）。此外，还揭示了一群俄罗斯地区，人口正在努力生活在很低的收入上。这些所谓的“贫困”地区，在COVID-19造成的危机条件下，需要额外的公共支持，没有这些支持，他们的人口就会贫穷。
The article presents the results of multivariate classification of Russian regions by the indicators characterizing the population income and their concentration. The clusterization was performed upon an author approach to selecting the characteristics which determines the academic novelty in the evaluation of regional differentiation by population income and the interconnected characteristics. The performed analysis was aimed at the evaluation of the real scale of disproportions in spatial development of the country territories by the considered characteristics. The clusterization results allowed to formulate the condition of a relatively "strong" position of a group of high-income regions (the changes in the array of regions constituting it is highly unlikely in the foreseeable future). Additionally there has been revealed a group of Russian regions that the population is struggling to live on quite low income. These so-called "poor" regions, within the crisis conditions caused by Covid-19 are in need of additional public support, without which their population will impoverish.
