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Environmental Sustainability and Digital Transformation of Socio-Economic: Quality of Life Perspective

Author

Listed:
  • Sergey Evgenievich Barykin

    (Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia)

  • Sergey Mikhailovich Sergeev

    (��Graduate School of Industrial Management, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia)

  • Irina Vasilievna Kapustina

    (Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia)

  • Alexander Anatolyevich Fedotov

    (��School of Economics, Orel State University, 302026 Orel, Russia)

  • Vitaly Anatolievich Matchinov

    (�Kaluga Branch, Financial University under the Government of the Russian Federation 125993 Moscow, Russia)

  • Elena De La Poza Plaza

    (�Center for Economic Engineering (INECO), Universitat Politècnica de València, 46022 Valencia, Spain)

  • Angela Bahauovna Mottaeva

    (��Financial University under the Government of the Russian Federation, 125993 Moscow, Russia)

  • Antonina Vasilievna Sharkova

    (��Financial University under the Government of the Russian Federation, 125993 Moscow, Russia)

  • Anzhelika Yurievna Borisova

    (*Department of Construction Organization and Real Estate Management, Moscow State University of Civil Engineering, 129337 Moscow, Russia)

  • Anna Evgenievna Karmanova

    (Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia)

Abstract

Technological singularity has seriously affected all the social, environmental, and economic genesis factors in mankind’s history. The problem of assessing the quality of life in the digital economy is acquiring new nuances including social services. The objective of this study is to investigate unique impacts of digital transformation on economic, environment, and social progresses on the quality of life improvement in China. Environmental statistical data on the impact of investments in social, state, and other spheres of economic activity are analysed at the machine learning level. Application of high-performance computing (HPC) and big data technologies for obtaining data on socio-economic statistics in real-time, the presence of feedback in the Web 4.0 concept, transfer of a significant part of economic processes to internet platforms provide the information necessary for analysis. As a result, a basis is proposed for implementing software products in the form of institutional decision-making support systems for a long horizon of planning investments in the quality of life.

Suggested Citation

  • Sergey Evgenievich Barykin & Sergey Mikhailovich Sergeev & Irina Vasilievna Kapustina & Alexander Anatolyevich Fedotov & Vitaly Anatolievich Matchinov & Elena De La Poza Plaza & Angela Bahauovna Motta, 2023. "Environmental Sustainability and Digital Transformation of Socio-Economic: Quality of Life Perspective," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 25(01), pages 1-18, March.
    • Handle: RePEc:wsi:jeapmx:v:25:y:2023:i:01:n:s1464333223500011
    DOI: 10.1142/S1464333223500011
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