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Statistical study of the level of world digitalization

https://doi.org/10.34020/2073-6495-2022-4-061-075

Abstract

The modern study of digitalization is based on the differentiation of indicators and types of activities into separate subgroups, one way or another characterizing the level of the digital economy, within a limited (subjective) expert opinion. This study was based on the Network Readiness Index (NRI), as one of the indicators created to assess the level of development of information and communication technologies (ICT) and the network economy (based on Internet technologies) in different countries of the world. The article presents the results of a statistical study of the society’s network readiness index using factor analysis methods to qualitatively change the dimension of a large data array. The classification of the countries of the world according to significant integral indicators of the network readiness index by cluster analysis methods is carried out, conclusions are drawn on the formation of the components of the network readiness index in various typological groups. On the basis of the developed classification, mathematical models were built for each independent group of countries to establish the relationship of the effective attribute from the explanatory integral components – f1 – sufficiency of network space conditions and f2 – technological activity. The resulting factors were GDP, million US dollars (GDP) and the human development index, HDI (HDI) as indicators illustrating the dynamics of changes in the economy and the conditions for the development of society, which should be directly affected by digitalization processes.

About the Author

L. P. Bakumenko
Mari State University
Russian Federation

L.P. Bakumenko – Doctor of Economics, Professor, Head of the Department of Applied Statistics and Digital Technology

Mari State University



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Review

For citations:


Bakumenko L.P. Statistical study of the level of world digitalization. Vestnik NSUEM. 2022;(4):61-75. (In Russ.) https://doi.org/10.34020/2073-6495-2022-4-061-075



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ISSN 2073-6495 (Print)