Regional Economics: Theory and Practice
 

A tax method to calculate the value of the shadow economy of Russian regions

Vol. 15, Iss. 11, NOVEMBER 2017

Received: 3 February 2016

Received in revised form: 16 February 2016

Accepted: 10 March 2016

Available online: 15 November 2017

Subject Heading: REGION IN NATIONAL ECONOMY

JEL Classification: C15, H22, O17, R13

Pages: 2015–2032

https://doi.org/10.24891/re.15.11.2015

Fedotov D.Yu. Baikal State University, Irkutsk, Russian Federation fdy@inbox.ru

Nevzorova E.N. Baikal State University, Irkutsk, Russian Federation nevzorova_kat@mail.ru

Orlova E.N. Baikal State University, Irkutsk, Russian Federation OrlovaEN@bgu.ru

Importance So far, a variety of methods to measure the shadow economy have been developed. However, most of researchers investigate shadow economy at the national level, and far fewer works address the issue at the regional level.
Objectives The objective of the study is to develop a methodology for calculating the value of the shadow economy of Russian regions.
Methods Econometric methods helped develop a methodology to measure the shadow economy in Russian regions based on the comparison of statistical data and tax reporting. Methodological tools involve mathematical methods for statistical data processing.
Results The study solves the problem of calculating the value of the shadow economy in Russian regions. To verify the reliability of obtained results, we performed a correlation analysis of association between the size of the shadow economy in Russian regions and the indicators of socio-economic development of the regions, which relate to the level of the regional shadow economy.
Conclusions and Relevance The study made it possible to calculate the value of the shadow economy in Russian regions over 2010–2013. The findings may be useful for the State socio-economic policy implementation at the regional level.

Keywords: regional economy, shadow economy, gross regional product, tax, statistics

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