俄罗斯联邦数字经济发展的区域差异

E. Rodionova, Zhanna Kuzminykh, E. Gamova
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引用次数: 1

摘要

当前世界经济发展的特点是建立和维持数字经济。在信息通信技术有效利用的推动下,数字经济正在取得前所未有的发展,并最终超越传统经济。利用数字经济技术对俄罗斯来说尤为重要,因为该国需要在面临严重经济制裁的同时,从目前以资源为导向的国民经济模式转向创新经济模式。俄罗斯联邦的特点是其组成实体(地区)的社会经济发展不平衡。本文试图对数字经济发展指标存在区域差异的假设进行检验。鉴于信息通信技术的应用是后者的主要驱动因素,本文分析了与俄罗斯各地区各组织和人口使用信息通信技术有关的统计指标。评估技术包括计算极差和相对极差、方差、标准差和变异系数。研究发现,俄罗斯各地区的数字经济发展相当均匀:除了一个估计指标外,所有估计指标的变异系数都小于0.33。在区域一级,人口对数字经济技术的使用存在较大差异,而组织则表现出较高的同质性。在数字经济发展方面,俄罗斯领先或落后的地区清晰可见。所提出的方法为快速准确地识别数字经济发展中的问题领域提供了一种有效的工具,对各级政策制定者和从业者具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional differentiation of digital economy development in the Russian Federation
The present stage of the world economy development is marked by building and sustaining the digital economy, which, driven by the effective use of information and communication technology (ICT), is making unprecedented advances and eventually overtakes the traditional economy. Harnessing the digital economy technologies is particularly relevant for Russia, since the country needs to move from its current resource-oriented national economy model towards the innovative one while facing severe economic sanctions. The Russian Federation is characterized by uneven socio-economic development of its constituent entities (regions). The authors attempt to test their hypothesis suggesting regional differentiation of indicators of the digital economy development. In view of ICT application as the primary driver of the latter, the article analyzes statistical indicators related to ICT usage by organizations and the population across the Russian regions. The assessment technique employed includes the calculation of range and relative range, variance, standard deviation, and coefficient of variation. It has been found that the digital economy development across the Russian regions is rather even: for all estimated indicators except one, the coefficient of variation has a value of less than 0.33. At the regional level, greater disparity is observed in the use of digital economy technologies by the population, while organizations demonstrate higher homogeneity. The Russian regions which are leading or lagging behind in terms of the digital economy development are clearly visible. The proposed methodology provides an efficient tool for prompt and accurate identification of problematic areas in the digital economy development, which offers important implications for policy-makers and practitioners at all levels.
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