title: Comparative Analysis of the Development of the Digital Economy in Russia and EU Measured with DEA and Using Dimensions of DESI
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.contributor.author
metadata.value: Nemeslaki, András
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-02-06T16:50:35Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-02-06T16:50:35Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2019-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Bánhidi Z., Dobos I., Nemeslaki A. (2019) Comparative Analysis of the Development of the Digital Economy in Russia and EU Measured with DEA and Using Dimensions of DESI. St Petersburg University Journal of Economic Studies, vol. 35, iss. 4, pp. 588–605.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu05.2019.405
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/17024
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The aim of this paper is to compare the development of the digital economy in Russia with
  that of the 28 countries of European Union (EU). Data were compiled from the European
  Commission’s International Digital Economy and Society Index (I-DESI 2018) database.
  After providing a brief overview of various alternative ways to measure the impact of information
  and communications technologies (ICT), we examine the most important features,
  advantages, and drawbacks of this database. We then describe the structure of our dataset
  and proceed with the analysis of the digital competitiveness of Russia and the EU-28. Our
  main research questions are concerned with the robustness of the EU data supply and the
  stability of its ranking. For this, we use the data envelopment analysis (DEA) method and
  the one-dimensional version of multidimensional scaling, which can also be employed for
  ranking issues. In addition to the conventional DEA method, we also investigate the viability
  of common-weights DEA models. We compare the results obtained to answer our
  questions. In evaluating the results, we also discern how data from Russia matches EU
  data on the digital economy. The comparison suggests that methods used in our study provide
  a similar solution, but the ranking of a few countries (including Russia) show wider
  variation.
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 35; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: DESI index
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: digital public administration
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: innovation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: data envelopment analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: multidimensional scaling
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: ranking
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Comparative Analysis of the Development of the Digital Economy in Russia and EU Measured with DEA and Using Dimensions of DESI
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 588_605.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/17024/3/588_605.pdf
resources.format: Adobe PDF
resources.size: 1,08 MB