摘要翻译:
本文通过描述人口收入及其集中度的指标对俄罗斯各地区进行多元分类的结果。聚类是在作者选择特征的方法上进行的,这决定了用人口收入和相互联系的特征来评价地区差异的学术新颖性。所进行的分析旨在根据所考虑的特征评估国家领土空间发展不相称的实际规模。集群化的结果使一组高收入区域形成了相对“强势”地位的条件(在可预见的未来,构成这一地位的区域数组极不可能发生变化)。此外,据透露,俄罗斯一些地区的人口正在靠相当低的收入挣扎生活。这些所谓的“贫困”地区,在新冠肺炎造成的危机条件下,需要额外的公共支持,没有这些支持,他们的人口将会贫困。
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英文标题:
《The application of multivariate classification in evaluating the
regional differentiation by population income in Russia》
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作者:
Natalia A. Sadovnikova, Olga A. Zolotareva
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最新提交年份:
2020
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分类信息:
一级分类:Economics 经济学
二级分类:General Economics 一般经济学
分类描述:General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类:Quantitative Finance 数量金融学
二级分类:Economics 经济学
分类描述:q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学,包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要:
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.
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PDF链接:
https://arxiv.org/pdf/2010.07403


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