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

Q1 Social Sciences

Journal of Environmental Assessment Policy and Management Pub Date : 2023-03-17 DOI:10.1142/s1464333223500011

S. Barykin, S. Sergeev, I. Kapustina, Alexander Anatolyevich Fedotov, V. A. Matchinov, E. Plaza, A. Mottaeva, A. Sharkova, Anzhelika Yurievna Borisova, A. Karmanova

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引用次数: 2

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.

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环境可持续性和社会经济数字化转型:生活质量视角

技术奇点严重影响了人类历史上所有的社会、环境和经济成因。在数字经济中评估生活质量的问题正在获得包括社会服务在内的新的细微差别。本研究的目的是探讨数字转型对中国经济、环境和社会进步对生活质量改善的独特影响。在机器学习层面上分析投资对社会、国家和其他经济活动领域的影响的环境统计数据。应用高性能计算(HPC)和大数据技术实时获取社会经济统计数据，在Web 4.0概念中存在反馈，将经济过程的重要部分转移到互联网平台，为分析提供了必要的信息。因此，提出了以机构决策支持系统的形式实施软件产品的基础，以实现对生活质量的长期规划投资。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Environmental Assessment Policy and Management Social Sciences-Geography, Planning and Development

CiteScore

7.00

自引率

0.00%

发文量

期刊介绍： The Journal of Environmental Assessment Policy and Management is an interdisciplinary, peer reviewed, international journal covering policy and decision-making relating to environmental assessment (EA) in the broadest sense. Uniquely, its specific aim is to explore the horizontal interactions between assessment and aspects of environmental management (not just the vertical interactions within the broad field of impact assessment) and thereby to identify comprehensive approaches to environmental improvement involving both qualitative and quantitative information. As the concepts associated with sustainable development mature, links between environmental assessment and management systems become all the more essential.