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MULTIDIMENSIONAL ASSESSMENT OF THE DIGITAL INEQUALITY OF THE POPULATION OF THE RUSSIAN REGIONS: THE MAIN COMPONENTS AND THE RELATIONSHIP WITH ECONOMIC INDICATORS

Regional Economy , UDC: 332.13 DOI: 10.24412/2312-6647-2025-143-43-61

Authors

  • Kurilova Anastasia Alexandrovna Doctor of Economics, Associate Professor

Annotation

Digital inequality is important for combating the preservation of national development and achieving the goal of sustainable development of the country as a whole and its regions. Based on the principal component analysis (PCA) for the period from 2014 to 2021, the study assesses the indicators of digital inequality of the population of 79 Russian regions and forms a composite index of digital inequality of the population based on the selected 8 indicators. The main goal of the work is to assess the factors affecting the digital inequality of the population. The study covers 79 regions of Russia from 2014 to 2021, analyzing access to and use of the Internet. It was found that daily use of the Internet is a key factor in digital inequality. The PCA method revealed that several indicators are important factors determining the variability of the digital inequality of the population. Dependence on GRP and income was not found, but cluster analysis showed regional differences. The conducted multivariate analysis measured the level of digital inequality in Russian regions using the composite index of digital inequality of the population and revealed the absence of a correlation with the indicator of the average per capita income of the region and with the indicator of GRP per capita. This confirms the impression of insignificant internal digital diversity in Russia and indicates the process of convergence of Russian regions.

How to link insert

Kurilova, A. A. (2025). MULTIDIMENSIONAL ASSESSMENT OF THE DIGITAL INEQUALITY OF THE POPULATION OF THE RUSSIAN REGIONS: THE MAIN COMPONENTS AND THE RELATIONSHIP WITH ECONOMIC INDICATORS Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", № 1 (43), 43. https://doi.org/10.24412/2312-6647-2025-143-43-61
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