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Digital Methods Of Analysis Of Subjective Quality Of Life: Case Of Russian Regions

Author

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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)

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.

Suggested Citation

  • Evgeniy SHCHEKOTIN & Mikhail MYAGKOV & Viacheslav GOIKO & Vitaliy KASHPUR, 2021. "Digital Methods Of Analysis Of Subjective Quality Of Life: Case Of Russian Regions," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2021(36), pages 25-48, June.
    • Handle: RePEc:rom:rampas:v:2021:y:2021:i:36:p:25-48
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    References listed on IDEAS

    as
    1. Yann Algan & Fabrice Murtin & Elizabeth Beasley & Kazuhito Higa & Claudia Senik, 2019. "Well-being through the lens of the internet," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-23, January.
    2. Fabio Sabatini & Francesco Sarracino, 2017. "Online Networks and Subjective Well-Being," Kyklos, Wiley Blackwell, vol. 70(3), pages 456-480, August.
    3. repec:hal:spmain:info:hdl:2441/63csdfkqvu9nfanvuffe3qk8r6 is not listed on IDEAS
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    More about this item

    Keywords

    subjective quality of life; digital sociology; digital methods; social network; Russia;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • R59 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Other

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