Information and Communication Technologies in the Regions of Russia: Comparative Analysis

E. Kochkina, E. Radkovskaya, Y. Melnikov
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Abstract

—The issue under study is pressing due to the high importance of information and communication technologies for the future of Russia that establishes new requirements for priorities in regional development strategy. The role and importance of information and communication technologies for the development of Russian economy are defined. The problem of imbalance in territorial economy structure which is typical for Russia as a multi-regional economic system leads to the need for a comparative analysis of regions in terms of development level and using information and communication technologies. The multivariance of studied process requires using special methods which include cluster analysis used by the authors; it is one of the methods of multivariate statistics and reflects the features of multivariance during the procedure of classifying objects. Clustering procedure was performed by the authors on the basis of hierarchical agglomerative methods using Euclidean distance between objects and farthest neighbor method in order to calculate the distance between clusters. In addition, the stability of obtained clustering results was checked using k-Means, Centroid, and Median methods. In order to get a dynamic clustering picture, we compared the results of dividing regions into clusters according to statistics from 2014 and 2017. Additionally, a comparative analysis of the regions was carried out according to the level of development of information and communication technologies based on the integrated comparison parameter developed by the authors.
俄罗斯地区的信息和通信技术:比较分析
-由于信息和通信技术对俄罗斯未来的高度重要性,正在研究的问题非常紧迫,这为区域发展战略的优先事项提出了新的要求。明确了信息通信技术对俄罗斯经济发展的作用和重要性。俄罗斯作为一个多区域经济体系,其典型的领土经济结构不平衡问题导致需要对各区域的发展水平和信息通信技术的使用进行比较分析。研究过程的多方差需要使用特殊的方法,包括作者使用的聚类分析;它是多元统计的一种方法,反映了对象分类过程中的多方差特征。在分层聚类方法的基础上,采用欧几里得距离法和最近邻法进行聚类,计算聚类之间的距离。此外,使用k-Means、Centroid和Median方法检查获得的聚类结果的稳定性。为了得到一个动态的聚类图,我们将2014年和2017年的统计数据进行区域聚类划分的结果进行了比较。此外,基于作者提出的综合比较参数,根据信息通信技术发展水平对区域进行了比较分析。
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