Quantitative and qualitative aspects of measuring the digital economy

Author:

Blatova T. A.1,Makarov V. V.1,Shuval-Sergeeva N. S.2

Affiliation:

1. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications

2. Research and Production Enterprise Radar mms JSC

Abstract

The main research subject is an assessment of a current state of the economy and the population well-being using conventional economic indicators. The article presents main trends that are available when people apply information and communication technology to business models and products that transform the economy and social and economic interaction. The analysis completed has showen that as an indicator in terms of digital economy the gross domestic product has no longer adequately presented an increase in a number and variety of services and complexity of the solutions developed. Authors propose new approaches to valuating a digital product based on measurements of the consumer surplus. Authors have shown that to solve problems of measuring the digital economy, we need reliable statistics for activity in the digital economy, so that the ongoing national economic policy does not have negative consequences for the country. There is the conclusion that in the near future, due to the lack of alternatives, the gross domestic product as an indicator will still be in use for measurements of the population well-being. Therefore, statistics quality, techniques for such data analysis, and efficient managerial decision-making based on them have been getting the most relevant.

Publisher

CRI Electronics

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference14 articles.

1. Makarov V. V., Kolotov Yu. O. The development of Internet commerce. Ekonomicheskii analiz: teoriya i praktika, 2009, no. 26 (155), pp. 60–64. (In Russian).

2. Sagynbekova A. S. Digital economy: concept, prospects, development trends in Russia. Teoriya. Praktika. Innovatsii, 2018, no. 4 (28), pp. 255–267. (In Russian).

3. Stelmach S. Edge computing: why should you learn about this technology immediately. Edition itWeek. (In Russian). Available at: https://www.itweek.ru/iot/article/detail.php?ID=198653 (accessed 02.10.2019).

4. Volkovitskaya E. N., Yarovoy M. V. The problem of measuring GDP in the digital economy. Obshchestvennye i ekonomicheskie nauki. Studencheskii nauchnyi forum: sbornik statei po materialam XII mezhdunarodnoi studencheskoi nauchno-prakticheskoi konferentsii, 2019, no. 1 (12). (In Russian). Available at: https://nauchforum.ru/archive/SNF_social/1(12).pdf (accessed 02.10.2019).

5. Brynjolfsson E., Collis A., Eggers F. Using massive online choice experiments to measure changes in well-being. PNAS, 2019, vol. 116, no. 15, pp. 7250–7255.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3