title: Analysis of I-DESI dimensions of the digital economy development of the Russian Federation and EU-28 using multivariate statistics
metadata.name: dc.contributor.author
metadata.value: Tokmergenova, Madina
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bánhidi, Zoltán
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Dobos, Imre
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-11-17T12:20:16Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-11-17T12:20:16Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Tokmergenova M., Bánhidi Z., Dobos I. (2021) Analysis of I-DESI dimensions of the digital economy development of the Russian Federation and EU-28 using multivariate statistics. St Petersburg University Journal of Economic Studies, vol. 37, iss. 2, pp. 189–204.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu05.2021.201
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/33612
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: This paper continues the authors’ earlier analysis, in which we used five principle dimensions
  of the International Digital Economy and Social Index (I-DESI) for the 28 countries of the EU
  and the Russian Federation to examine how Russia’s development relates to that of other EU
  countries. The aim of this paper is not to establish a ranking, but to determine the relationship
  between each dimension and the groups into which these 29 countries can be divided by multivariate
  statistical analysis tools and to analyze the group to which the Russian Federation belongs.
  We use Principal Component Analysis (PCA) to map our data to a lower-dimensional
  space (revealing two latent dimensions), and to analyze causal relations between the principal
  dimensions using partial correlation coefficients, concluding that two of the five main dimensions
  can be explained by three independent dimensions. Thereafter, we use cluster analysis to
  group our objects (i. e. the 29 countries) into clusters, and multidimensional scaling (MDS) to
  visualize the location of these groups and countries on the plane of the two components (from
  the PCA), focusing on the Russian Federation. According to our results, the Russian Federation
  can be classified as a moderately developed country in terms of its I-DESI score, but its
  location on the plane of principle components differs from the group of moderately developed
  EU-countries, forming a separate “group” on its own, largely owing to the unique characteristics
  of the country’s digital development.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: St Petersburg University Journal of Economic Studies;Volume 37; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: digital transformation measurement
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: DESI index
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: connectivity
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: human capital correlation analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: principal component analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: partial correlation analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cluster analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: multidimensional scaling
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Russia
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Analysis of I-DESI dimensions of the digital economy development of the Russian Federation and EU-28 using multivariate statistics
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 189-204.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/33612/1/189-204.pdf
resources.format: Adobe PDF
resources.size: 794,87 kB