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Decomposition of Tax Revenue Growth in Russian Regions

Author

Listed:
  • M. Yu. Malkina

    (Institute of Economics and Entrepreneurship, Nizhny Novgorod State University)

  • R. V. Balakin

    (Institute of Economics and Entrepreneurship, Nizhny Novgorod State University)

Abstract

The subject of the study is tax revenues of the consolidated budgets of Russian federal subjects and their determinants. The objective is a quantitative assessment of the contribution of various sectors to the growth of tax revenues in the consolidated budgets of federal subjects and their factor decomposition. A four-factor additive–multiplicative model for the formation of tax revenues in the region is developed. Factors of tax revenues at the regional level in this model are the share of the sector in the regional economy (structural factor), its tax burden (fiscal factor), the level of internal absorption of tax revenues (interbudgetary factor), and the size of GRP (scale factor). To assess the contribution of these factors in regions and in the country at the aggregated and disaggregated levels, mixed factor analysis was used, including proportional, logarithmic, and integral methods. The study revealed that the largest contribution to the growth of tax revenues in the consolidated budgets of federal subjects came from the five largest regions, as well as a number of types of economic activity: manufacturing, combined financial and real estate operations, trade, and the mining sector. A change in the level of internal tax absorption on average contributed to a decrease in tax revenues to the budgets of federal subjects, while an increase in GRP, a change in the sectoral structure, and a change in tax profitability led to an increase in tax revenues to territorial budgets. The difference in the influence of these factors at the aggregated (country) and disaggregated (mid-regional) levels is explained by the degree of their interregional differences. The results of the study are applicable to assess potential tax revenues in regions, taking into account the possibilities of managing their determinants.

Suggested Citation

  • M. Yu. Malkina & R. V. Balakin, 2020. "Decomposition of Tax Revenue Growth in Russian Regions," Regional Research of Russia, Springer, vol. 10(2), pages 117-126, April.
    • Handle: RePEc:spr:rrorus:v:10:y:2020:i:2:d:10.1134_s2079970520020100
    DOI: 10.1134/S2079970520020100
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    References listed on IDEAS

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    1. Jun Zhang, 2016. "End of Hyper Growth in China?," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-53718-8, October.
    2. John J. Heim, 2017. "An Econometric Model of the US Economy," Springer Books, Springer, number 978-3-319-50681-4, December.
    3. Taro Ohno & Masaki Hotei & Eiichiro Sato & Chie Umezaki, 2015. "Decomposition of the Variation of Corporate Tax Revenues : Based on Consideration of Corporate Tax Paradox-," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 11(2), pages 333-360, March.
    4. Marina Yuryevna Malkina, 2016. "Evaluation of the Factors of Russian Regions’ Convergence / Divergence in the Level of Budget Provision Based on the Decomposition of the Theil - Bernoulli Index," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 16-37.
    5. Mahdavi, Saeid, 2008. "The level and composition of tax revenue in developing countries: Evidence from unbalanced panel data," International Review of Economics & Finance, Elsevier, vol. 17(4), pages 607-617, October.
    6. Poonam Sharma & Jaspal Singh, 2015. "Determinants of tax-revenue in India: a principal component analysis approach," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 10(1), pages 18-29.
    7. Arindam Das-Gupta & Ira Gang, 2000. "Decomposing Revenue Effects of Tax Evasion and Tax Structure Changes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 7(2), pages 177-194, March.
    8. Yushkov, Andrey, 2015. "Fiscal decentralization and regional economic growth: Theory, empirics, and the Russian experience," Russian Journal of Economics, Elsevier, vol. 1(4), pages 404-418.
    9. Mishustin, Michael V. (Мишустин, Михаил), 2016. "Factors of Growth of Tax Revenues: A Macroeconomic Approach [Факторы Роста Налоговых Доходов: Макроэкономический Подход]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 8-27, October.
    10. Kimberly Clausing, 2007. "Corporate tax revenues in OECD countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 14(2), pages 115-133, April.
    11. Bradley Braun & Yasuji Otsuka, 1998. "The effects of economic conditions and tax structures on state tax revenue flow," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 4(3), pages 259-269, August.
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