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Intersectoral Shadow Economic Linkages and their Impact on Tax Evasion

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  • Dmitry Yu. Fedotov
  • Ekaterina N. Nevzorova

Abstract

The article discusses shadow economic linkages between companies from different sectors. The research hypothesis is that the multiplier effect can cause a spillover of the shadow economy from one sector to another through business connections between companies. The research methodology comprises, first, a correlation analysis of the indicators reflecting the level of informal activities in the key industries of Russia in 2011–2017; second, analysis of input-output tables to reveal the patterns inherent to intersectoral financial flows that involve sectors with a large share of shadow activities; and, third, analysis of the tax ratio in the key sectors in the given period. The correlation analysis of Rosstat’s adjustment of gross value added for informal economic activities and the share of undocumented workers employed in the total number of workers in the sector has revealed a strong correlation between these indicators. It was found that such sectors as real estate, agriculture and forestry, construction, trade and hotel industry have shadow economies exceeding the average level in the country. We used the input-output balance data to reveal the close connections between the sectors with a large share of shadow activities and other sectors. Our calculations have brought to light an increase in the share of illicit transactions in some industries due to interactions with shadow sectors. This trend was particularly characteristic of such industries as transport and communications, education, health care and social services. It was also found that the tax ratio for transactions involving companies from sectors with a large share of shadow activities tended to decline due to tax evasion. These research results can be used by tax authorities to detect and monitor economic operations associated with high tax evasion risks.

Suggested Citation

  • Dmitry Yu. Fedotov & Ekaterina N. Nevzorova, 2020. "Intersectoral Shadow Economic Linkages and their Impact on Tax Evasion," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 6(1), pages 36-53.
    • Handle: RePEc:aiy:jnljtr:v:6:y:2020:i:1:p:36-53
    DOI: http://dx.doi.org/10.15826/jtr.2020.6.1.074
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    References listed on IDEAS

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    1. Kyurdzhiev Sergey (Кюрджиев С.П.) & Peshkova Elena (Пешкова Е.П.) & Mambetova Alexandra (Мамбетова А.А.) & Kituykova Dariya (Китюкова Д.С.), 2018. "Determining Of The Scales Of Shadow Economy On The Basis Of Comparative Analysis Of Gdp And Volume Of Monetary Cash [Определение Масштабов Теневой Экономики На Основе Сравнительного Анализа Динамик," State and Municipal Management Scholar Notes, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 96-101.
    2. Leandro Medina & Mr. Friedrich Schneider, 2018. "Shadow Economies Around the World: What Did We Learn Over the Last 20 Years?," IMF Working Papers 2018/017, International Monetary Fund.
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    Cited by:

    1. Yu.E. Labunets & I.A. Mayburov, 2020. "Relationship of Tax Burden and Firm Size in the Timber Industry in Russia," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(4), pages 458-487.
    2. Christou Anna & Eriotis Nikolaos & Lomis Ioannis & Papadakis Spyros & Thalassinos Eleftherios, 2021. "The Greek VAT Gap: The Influence of Individual Economic Sectors," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 851-882.

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