DIGITAL METHODS OF ANALYSIS OF SUBJECTIVE QUALITY OF LIFE: CASE OF RUSSIAN REGIONS

Evgeniy Shchekotin (), Mikhail Myagkov (), Viacheslav Goiko () and Vitaliy Kashpur ()
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Evgeniy Shchekotin: Center of Applied Big Data Analysis, Tomsk State University, Tomsk, Russia; Department of Sociology, Novosibirsk State University of Economics and Management, Novosibirsk, Russia
Mikhail Myagkov: Center of Applied Big Data Analysis, Tomsk State University, Tomsk, Russia; Institute of Education, National Research University Higher School of Economics, Moscow, Russia; Institute for Cognitive and Decision Sciences and Department of Political Science, Eugene, USA
Viacheslav Goiko: Center of Applied Big Data Analysis, Tomsk State University, Tomsk, Russia
Vitaliy Kashpur: Center of Applied Big Data Analysis, Tomsk State University, Tomsk, Russia

REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, 2021, vol. 2021, issue 36, 25-48

Abstract: The paper presents a method for measuring subjective quality of life in the regions of the Russian Federation on the basis of digital data. Information about online activity of users in the largest social media in Russia - VKontakte was taken as the data source. Quality of Life Index was calculated based on the obtained data. The results show that overall users tend to negatively assess the quality of life in their regions, with the highest estimates of the quality of life observed in the ethnic areas of the Russian Federation – republics, autonomous territories, districts and regions, first of all, in North Caucuses, Siberia and the Russian Far East. The lowest quality-of-life assessments of are noted in some regions in West Siberia. The paper analyses how the results of measuring quality of life with digital methods correlate with objective social-and-economic and demographic indicators of regional development. Several regularities for the ethnic areas are revealed while in other areas (regions, territories, cities of federal status) no significant correlations were established. The paper also gives a comparative analysis of quality of life assessments obtained through traditional questionnaire methods and digital methods.

Keywords: subjective quality of life; digital sociology; digital methods; social network; Russia (search for similar items in EconPapers)
JEL-codes: C83 I31 R59 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:rom:rampas:v:2021:y:2021:i:36:p:25-48

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