数字化转型及其对俄罗斯地区社会经济发展的影响

IF 0.5 Q3 AREA STUDIES
T. V. Mirolubova, M. V. Radionova
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引用次数: 0

摘要

现代世界经济正在向数字经济转型。数字化转型可以成为各州和地区社会经济和技术发展的驱动力。发达国家的经验表明,数字化转型有助于创造新的商业机会,出现新的市场和利基,从而影响区域社会经济发展。然而,这一过程在各国之间是不平衡的,导致区域之间存在显著差异。此外,还应考虑数字化转型与区域可持续发展之间的联系。本文介绍了作者对数字化转型的看法,并从可持续发展优先级的角度分析了数字化转型对俄罗斯地区社会经济发展的影响。本研究旨在建立并验证一个多层次多元回归模型,该模型通过积分指标来说明区域数字化转型,并描述其对区域可持续发展的影响。该研究特别考察了数字化转型的整体指标和可持续发展的整体指标,揭示了俄罗斯地区数字化转型和可持续发展的整体指标之间的相关性。根据这些指标对区域进行聚类。不同集群的面板数据计量经济模型表明,数字劳动力和数字资本等因素极大地影响了俄罗斯各地区的社会经济指标。建立了制造业占地区生产总值比重与区域数字化转型之间的直接关系。通过对俄罗斯各地区积分指标的计算,发现俄罗斯各地区在可持续发展和数字化转型方面存在显著的空间异质性。同时,制造业在区域生产总值中所占份额的增加导致区域可持续发展的下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Transformation and its Impact on the Socio-Economic Development of Russian Regions
The modern world economy is transforming into the digital economy. Digital transformation can be a driver of socio-economic and technological development of various states and regions. As shown by the experience of developed countries, digital transformation contributes to the creation of new business opportunities, emergence of new markets and niches, and consequently affects regional socio-economic development. However, this process is uneven across countries, leading to significant differences between regions. Additionally, the connection between digital transformation and regional sustainable development should be considered. The paper presents the authors’ perspective on digital transformation and analyses the impact of digital transformation on the socio-economic development of Russian regions in terms of sustainable development priorities. The research aims to develop and verify a multilevel multiple regression model, which illustrates regional digital transformation through integral indicators and describes its impact on regional sustainable development. In particular, the study examined the integral indicator of digital transformation and integral indicator of sustainable development, revealing a correlation between them for Russian regions. The regions were clustered according these indicators. Panel data econometric models for different clusters showed that such factors as digital labour and digital capital greatly influence socio-economic indicators of Russian regions. The direct correlation between the share of manufacturing in gross regional product and regional digital transformation was established. The calculation of integral indicators for all Russian regions identified significant spatial heterogeneity of Russian regions in terms of their sustainable development and digital transformation. At the same time, an increase in the share of manufacturing share in gross regional product causes a decrease in regional sustainable development.
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来源期刊
CiteScore
1.80
自引率
20.00%
发文量
23
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