EconPapers    
Economics at your fingertips  
 

Experience of digitalisation of value added tax in the Sverdlovsk Region of Russia

Olga M. Karpova and Igor Mayburov ()

International Journal of Economic Policy in Emerging Economies, 2022, vol. 16, issue 2/3/4, 158-175

Abstract: The purpose of the study is to review the results of digitalisation of value added tax (VAT) in the Sverdlovsk region. The article reveals the general aspects of digitisation of VAT and introduces its chronology in the region. The experience of digitising the administration of VAT in the countries of the European Union is considered and the coefficient of VAT efficiency for a number of countries is calculated. A comparative analysis of the results of VAT digitalisation in Russia and the Sverdlovsk region is also presented. In order to compare the results of digitalisation, the indicators of VAT efficiency (C-efficiency) and its collection are estimated. Further, the article highlights the problems of VAT digitalisation. In conclusion, the authors consider the reasons for the success of VAT digitalisation in Russia and the Sverdlovsk region, and also present prospects for the digital VAT development, in particular, the transition to intellectual tax.

Keywords: value added tax; VAT; digital value added tax; the regional aspect of digitalisation; automated control system of value added tax; ACS VAT; C-efficiency; Russia. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=126605 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijepee:v:16:y:2022:i:2/3/4:p:158-175

Access Statistics for this article

More articles in International Journal of Economic Policy in Emerging Economies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-23
Handle: RePEc:ids:ijepee:v:16:y:2022:i:2/3/4:p:158-175