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Economic Analysis: Theory and Practice
 

Using econometric methods to analyze and evaluate the relationship between digitalization indicators and the well-being of regions of the Russian Federation

Vol. 23, Iss. 9, SEPTEMBER 2024

Received: 13 June 2024

Received in revised form: 30 June 2024

Accepted: 19 July 2024

Available online: 30 September 2024

Subject Heading: MATHEMATICAL METHODS AND MODELS

JEL Classification: C01, C53, E21

Pages: 1783-1800

https://doi.org/10.24891/ea.23.9.1783

Elena V. RYTOVA Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russian Federation
rytova_ev@spbstu.ru

https://orcid.org/0000-0002-6774-7577

Ekaterina R. KHOLINA Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russian Federation
katia.kholina@mail.ru

https://orcid.org/0000-0002-9855-0427

Anastasiya A. MAIKOVA Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russian Federation
maykovanastya15@gmail.com

https://orcid.org/0000-0001-7083-7189

Subject. The article considers the relationship between digitalization and the level of well-being of regions of the Russian Federation.
Objectives. The aim is to identify factors of digitalization that have the greatest impact on the well-being of regions of Russia.
Methods. The study employs analysis and synthesis of scientific literature on the research topic, classification, and econometric modeling.
Results. We developed a regression model with a fixed effect. The endogenous variable is consumer spending, exogenous variables are the proportion of organizations that used the Internet; the number of subscribers of mobile broadband Internet access per 100 people; the proportion of the population who are active Internet users. We established a relationship between the indicators of digitalization and consumer spending per capita. However, there is no direct relationship between the volume of investments in fixed assets aimed at purchasing ICT equipment with consumer spending per capita.
Conclusions. The availability of Internet access is the most obvious indicator of the region's population welfare. On the contrary, the availability of services provided via the Internet did not show a strong connection with consumer spending in the region. Practical application of the constructed model will make it possible to predict the level of well-being while improving digital technologies.

Keywords: digitalization, digital technologies, welfare, population

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