Approach to Assessing the Digital Economy Development Based on Clustering of Russian Regions

Authors

DOI:

https://doi.org/10.17059/ekon.reg.2022-4-8

Keywords:

digital economy, region, indicator, clustering methods, cluster centre, fuzzy sets, multidimensional assessment, linguistic assessment, frequency analysis

Abstract

The present article proposes and tests a new approach 

Author Biographies

Tatiana V. Afanasieva , Plekhanov Russian University of Economics

Dr. Sci. (Eng.), Professor; Researcher ID G-4151-2017; Scopus Author ID: 36631583800; https://orcid.org/0000-0003-3779-7992 (36, Stremyanny Lane, Moscow, 117997, Russian Federation; e-mail: afanaseva.tv@rea.ru).

Aida Kh. Kazanbieva , Financial University under the Government of the Russian Federation

Cand. Sci. (Econ.), Associate Professor; Scopus Author ID: 57210552812; https://orcid.org/0000-0002-2537-1727 (49, Leningradskiy Ave., Moscow, 125993, Russian Federation; e-mail: aida_k74@mail.ru).

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Published

28.12.2022

How to Cite

Afanasieva Т. В. ., & Kazanbieva А. Х. . (2022). Approach to Assessing the Digital Economy Development Based on Clustering of Russian Regions. Economy of Regions, 18(4), 1075–1088. https://doi.org/10.17059/ekon.reg.2022-4-8

Issue

Vol. 18 No. 4 (2022)

Section

Regional Economy

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.