Forecast of the digitalization impact on public financial management

Author:

Belousov Yu. V.1ORCID,Timofeeva O. I.2ORCID

Affiliation:

1. Center for Budgetary Policy of the Financial Research, Institute of the Ministry of Finance of the Russian Federation

2. Center for Budgetary Policy of the Financial Research, Institute of the Ministry of Finance of the Russian Federation; Financial University

Abstract

Modern digital technologies based on artificial intelligence and big data have a significant impact on many areas of the socioeconomic life of society. At present, digitalization has not affected the public financial management system to a small extent. However, this particular area has a high potential for the use of big data and artificial intelligence, as it is based on significant amounts of information, including unstructured information. At the same time, the process, mechanism and forms of the digital technologies impact on public finance management have been little studied in the scientific literature. The paper forecasts changing in the public financial management system that may occur under the influence of digital technologies in the medium and long term. The authors used a methodical approach based on extrapolation for forecasting. Nowadays, digital technologies have significantly influenced some sectors of the socio-economic people’s activity. The forms and mechanisms of such influence had been extrapolated to the public financial management system and, primarily, to various stages of the budget process.

Publisher

Financial University under the Government of the Russian Federation

Subject

General Medicine

Reference28 articles.

1. Castells M. The rise of the network society. Malden, Oxford: Blackwell; 1996. 656 p. (Russ. ed.: Castells M. Informatsionnaya epokha: ekonomika, obshchestvo i kul’tura. Moscow: SU HSE; 2000. 608 p.).

2. Lee K.-F. AI superpowers: China, Silicon Valley, and the new world order. New York, Boston: Houghton Mifflin Harcourt; 2018. 272 p. (Russ. ed.: Lee K. F. Sverkhderzhavy iskusstvennogo intellekta. Kitai, Kremnievaya dolina i novyi mirovoi poryadok. Moscow: Mann, Ivanov and Ferber; 2019. 240 p.).

3. Frank M., Roehrig P., Pring B. What to do when machines do everything: How to get ahead in a world of AI, algorithms, bots, and big data. Hoboken, NJ: John Wiley & Sons, Inc.; 2017. 256 p. (Russ. ed.: Frank M., Roehrig P., Pring B. Chto delat’, kogda mashiny nachnut delat’ vse: kak roboty i iskusstvennyi intellekt izmenyat zhizn’ i rabotu. Moscow: Eksmo; 2019. 320 p.).

4. Fölscher A. Budget transparency: New frontiers in transparency and accountability. London: Open Society Foundation; 2010. 59 p. URL: https://www.transparency-initiative.org/wp-content/uploads/2017/03/budget_transparency_final1.pdf (accessed on 16.12.2021).

5. Khagram S., ed. Open budgets: The political economy of transparency, participation, and accountability. Washington, DC: Brookings Institution Press; 2013. 275 p.

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