Economic and statistical analysis of russian regions' environmental and economic activity localization

Yury I. Treshhevskij, Anna Y. Kosobuczkaya, L. Garin
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Abstract

Currently, many scientists and economists write about the seriousness of global environmental problems, paying great attention to the interdependence of ecology and economic development. The ecological situation in the regions of Russia directly depends on the impact of economic sectors on the environment. At the same time, the important features of a sustainable economy are the efficient use of natural resources, reduction of environmental pollution, low carbon emissions, etc. The study of the ecological situation requires constant updating of materials, the identification of new patterns of development. This study is a comprehensive analysis of the localization of the ecological and economic activity of Russian regions. In the process of processing the materials, official statistical data on the state of the social, economic and ecological subsystems of the regions were used. The results of the analysis made it possible to identify a number of patterns in the distribution of Russian regions, taking into account the localization of environmental and economic activity. To form virtual groups of regions, homogeneous in terms of the totality of indicators characterizing the ecological and economic activity of Russian regions, we used cluster analysis, which is a research method that allows for a multidimensional grouping of objects. As a result, observations are depicted by groups of points in geometric space, called clusters. By analyzing the dendrogram, the regions of the country are divided into a certain number of clusters. Since clustering by the K-means method does not automatically rank clusters, they are sorted by the sum of normalized indicators, and the higher the value of the sum of these indicators, the more unbalanced the cluster is. The use of this method has been widely reflected in the study of the problems of socioeconomic development of regions.
俄罗斯地区环境和经济活动本地化的经济和统计分析
目前,许多科学家和经济学家都在写全球环境问题的严重性,非常重视生态与经济发展的相互依存关系。俄罗斯各地区的生态状况直接取决于经济部门对环境的影响。同时,可持续经济的重要特征是有效利用自然资源、减少环境污染、低碳排放等。对生态状况的研究需要不断地更新资料,确定新的发展模式。本研究是对俄罗斯地区生态和经济活动本地化的综合分析。在材料的处理过程中,使用了各地区社会、经济和生态子系统状况的官方统计数据。分析的结果使人们能够在考虑到环境和经济活动本地化的情况下,确定俄罗斯各地区分布的若干模式。为了形成虚拟的区域群体,就表征俄罗斯地区生态和经济活动的指标总体而言,我们使用了聚类分析,这是一种允许多维对象分组的研究方法。因此,观测结果是由几何空间中的点群(称为簇)来描述的。通过对树形图的分析,这个国家的地区被划分为一定数量的集群。由于K-means聚类并不自动对聚类进行排序,而是通过归一化指标的和对聚类进行排序,这些指标的和的值越高,表示聚类越不平衡。这种方法的运用在区域社会经济发展问题的研究中得到了广泛的体现。
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