Index Evaluation of Informational Sphere Development in the Republic of Crimea

E. Polishchuk, I. Pavlenko, A. Ostovskaya, Oksana Trilitskaya
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Abstract

The article focuses on the approach to index evaluation methodology measuring informational sphere development of a federal entity of the Russian Federation using as the example the Republic of Crimea. The key stages of the suggested technique include the calculation of the scale of the differences as per the regional index of the informational sphere development in the selected microregions as well as the specificity of their development (central, southern, northern, western and eastern) microregions; classification of the microregions of the republic with regard to average regional development index of informational sphere. Thus, the microregions were classified into three basic types: areas with highly developed (central and eastern) information sphere; moderately developed (western and southern) areas; areas with poorly developed (northern) informational sphere. During the research it was revealed that the methodology of index evaluation of the information sphere development allows designing scenarios of digital economy and information sphere development while taking into consideration the changes in social and economic environment in the region. The advantages of methodology are as follows: 1) few statistical data and information accessibility; 2) simple calculations of average values of the indices and of the development index of regional informational sphere; 3) simplicity of result interpretation. The suggested classification can be recommended for the development of programs of digital economy and informational sphere development not only for the Republic of Crimea, but also other federal entities of the Russian Federation for an efficient use of a set of key measures.
克里米亚共和国信息领域发展指标评价
本文以克里米亚共和国为例,探讨了衡量俄罗斯联邦实体信息领域发展的指标评价方法。所建议的技术的关键阶段包括根据所选微区域信息领域发展的区域指数及其发展(中部、南部、北部、西部和东部)微区域的特殊性计算差异的尺度;基于信息领域平均区域发展指数的共和国微区域分类。据此,将微区域划分为三种基本类型:信息圈高度发达的区域(中部和东部);中等发达地区(西部和南部);信息领域不发达地区(北部)。在研究过程中发现,信息领域发展的指标评价方法允许在考虑区域社会经济环境变化的同时设计数字经济和信息领域发展的情景。该方法的优点是:1)统计数据少,信息可及性强;2)简单计算各指数的平均值和区域信息圈发展指数的平均值;3)结果解释的简单性。建议的分类可以推荐为克里米亚共和国以及俄罗斯联邦其他联邦实体制定数字经济和信息领域发展计划,以有效利用一系列关键措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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