The impact of individual elements of the transport tax on income inequality in the regions of the Northwestern Federal District: Testing hypotheses of the redistributive effect

Authors

DOI:

https://doi.org/10.31279/REFP-2026-4-329

Keywords:

transport tax, tax incentives, tax rates, poverty level, income ineuqality

Abstract

This article examines the potential of the personal transport tax as an instrument for reducing poverty and income inequality in the regions of the Northwestern Federal District of Russian Federation. The aim of the study is to assess the impact of tax benefits and the progressivity of transport tax rates on the poverty level and the Gini index across the regions of the Northwestern Federal District. The methodological basis of the study comprises the concept of tax fairness and econometric methods for panel data analysis. The study draws on data from Form 5-TN of the statistical reporting of the Federal Tax Service of Russia, regional legislative acts on the transport tax, and Rosstat data for the period 2014–2024. By extending research on the social role of taxation, this study contributes both to the theory of tax policy, by broadening the understanding of redistributive channels associated with the transport tax, and to the empirical literature on inequality and poverty in the northwestern regions of Russia. Using panel data for 11 regions, random-effects and fixed-effects regression models were constructed, and four hypotheses concerning the relationship between tax benefits and rate progressivity, on the one hand, and poverty levels and the Gini index, on the other, were tested. The authors find that a broader coverage of tax benefits and a higher average benefit amount do not produce the expected poverty- and inequality-reducing effect, whereas an increase in the progressivity of the rate schedule is significantly associated with a reduction in income differentiation. It is concluded that, in its current form, the transport tax benefit mechanism performs primarily a compensatory rather than a targeted redistributive function, whereas rate progressivity exhibits a more pronounced potential for smoothing income inequality.

References

Panskov V.G. The principle of justice and its reflection in the taxation of individuals in the Russian tax system. ETAP: Economic Theory, Analysis, Practice. 2016;(3):58-72. (In Russ.)

Pinskaya M.R. Approaches to understanding the tax equity. Journal of Tax Reform. 2015;1(1):90-99. (In Russ.) https://doi.org/10.15826/jtr.2015.1.1.006 DOI: https://doi.org/10.15826/jtr.2015.1.1.006

Shemelev Yu.D. On criteria for assessing the effectiveness and fairness of the state tax policy. Economics, Taxes & Law. 2017;(2):113-120. (In Russ.)

Pugachev A.A. The potential of tax impact on the economic inequality of citizens in Russia. Economic and Social Changes: Facts, Trends, Forecast. 2024;17(1):142-158. (In Russ.) https://doi.org/10.15838/esc.2024.1.91.8 DOI: https://doi.org/10.15838/esc.2024.1.91.8

Wilkinson B.R., Hageman A.M. The role of political elites in income tax system design and tax fairness. The British Accounting Review. 2023;55(3):101172. https://doi.org/10.1016/j.bar.2022.101172 DOI: https://doi.org/10.1016/j.bar.2022.101172

Tjan, J.S. The role of tax systems in reducing income inequality: A literature review. Advances in Taxation Research. 2024;2(1):50-64. https://doi.org/10.60079/atr.v2i1.290 DOI: https://doi.org/10.60079/atr.v2i1.290

Kapelyushnikov R.I. Is economic inequality a universal evil? Voprosy Ekonomiki. 2019;(4):91-106. (In Russ.) https://doi.org/10.32609/0042–8736–2019–4–91–106 DOI: https://doi.org/10.32609/0042-8736-2019-4-91-106

Rimashevskaya N.M., Migranova L.A. Socio-economic differentiation in Russia. Population. 2016;3(73):17-33. (In Russ.)

Atkinson A.B. On the measurement of inequality. Journal of economic theory. 1970;2(3):244-263. https://doi.org/10.1016/0022-0531(70)90039-6 DOI: https://doi.org/10.1016/0022-0531(70)90039-6

Belekhova G.V. The scale of inequality and the specifics of its perception in modern Russia. Economic and Social Changes: Facts, Trends, Forecast. 2023;16(1):164-185. (In Russ.) https://doi.org/10.15838/esc.2023.1.85.9 DOI: https://doi.org/10.15838/esc.2023.1.85.9

Eydam U., Qualo H. Income inequality and taxes–an empirical assessment. Applied Economics Letters. 2024;31(18):1828-1835. https://doi.org/10.1080/13504851.2023.2208328 DOI: https://doi.org/10.1080/13504851.2023.2208328

Vylkova E.S. Personal income tax: reforms in Russia and their impact on the income inequality. Journal of New Economy. 2021;(2):5-22. (In Russ.) https://doi.org/10.29141/2658–5081–2021–22–2–1 DOI: https://doi.org/10.29141/2658-5081-2021-22-2-1

Goncharuk D.S., Pechenskaya-Polishchuk M.A. Smoothing income inequality of Russians based on regulation of taxation of individuals. Social Area. 2025;11(4):6. (In Russ.) https://doi.org/10.15838/sa.2025.4.48.6 DOI: https://doi.org/10.15838/sa.2025.4.48.6

https://doi.org/10.31279/2782–6414–2025–4–7

Goncharuk D.S. Assessment of the relationship between expenditures on tax benefits and revenues from surcharge coefficients under the transport tax. Research in Economic and Financial Problems. 2025;(4):7. (In Russ.) https://doi.org/10.31279/2782–6414–2025–4–7 DOI: https://doi.org/10.31279/2782-6414-2025-4-7

Goncharenko L.I., Savina O.N. Tax tools to provide social support of the population in the Russian Federation: the regional aspect. Economics, Taxes & Law. 2015;(6):118-127. (In Russ.)

Leonidova G.V., Basova E.A., Rassadina M.N. Cluster analysis of income inequality of the Russian population. Problems of Territory's Development. 2022;26(6):94-114. (In Russ.) https://doi.org/10.15838/ptd.2022.6.122.6 DOI: https://doi.org/10.15838/ptd.2022.6.122.6

McKay S. Tax, benefits and household income. Taxation and Social Policy. Policy Press. 2023:108-127. https://doi.org/10.51952/9781447364207.ch007 DOI: https://doi.org/10.51952/9781447364207.ch007

Baker M., Messacar D., Stabile M. Effects of child tax benefits on poverty and labor supply: Evidence from the Canada Child Benefit and Universal Child Care Benefit. Journal of Labor Economics. 2023;41(4):1129-1182. https://doi.org/10.1086/721379 DOI: https://doi.org/10.1086/721379

Goncharuk D.S. Approaches to regional taxation: Russian and foreign experience. Territorial Development Issues. 2026;14(1):1. (In Russ.) https://doi.org/10.15838/tdi.2026.1.69.1 DOI: https://doi.org/10.15838/tdi.2026.1.69.1

Knittel C.R. Automobiles on steroids: Product attribute trade–offs and technological progress in the automobile sector. American Economic Review. 2009;101(7):3368-3399. https://doi.org/10.1257/aer.101.7.3368 DOI: https://doi.org/10.1257/aer.101.7.3368

Ehigiamusoe K. U., Majeed M. T., Dogan E. The nexus between poverty, inequality and environmental pollution: evidence across different income groups of countries. Journal of Cleaner Production. 2022;341(10):130863. https://doi.org/10.1016/j.jclepro.2022.130863 DOI: https://doi.org/10.1016/j.jclepro.2022.130863

Borodina A.S. Regional features of collecting transport tax from individuals. Taxes and Taxation. 2017;(8):1-14. (In Russ.) https://doi.org/10.7256/2454-065X.2017.8.23703 DOI: https://doi.org/10.7256/2454-065X.2017.8.23703

Bragin V., Osakovsky V. Estimation of the natural rate of unemployment in Russia in 1994–2003: empirical analysis. Voprosy Ekonomiki. 2004;(3):95-104. (In Russ.) https://doi.org/10.32609/0042-8736-2004-3-95-104 DOI: https://doi.org/10.32609/0042-8736-2004-3-95-104

Patrakova S.S. The impact of road transport connectivity on economic growth of regions: Econometric modeling. Economic and Social Changes: Facts, Trends, Forecast. 2025;18(1):89-105. (In Russ.) https://doi.org/10.15838/esc.2025.1.97.5 DOI: https://doi.org/10.15838/esc.2025.1.97.5

Beck N., Katz, J.N. What to do (and not to do) with time–series cross–section data. American political science Association. 1995;89(3):634-647. https://doi.org/10.2307/2082979 DOI: https://doi.org/10.2307/2082979

Spanos A. On Panel Data Modeling and Inference: Fixed vs. Random Effects and the Dispute between Mundlak and Nerlove. Available at SSRN. 2025;5267480. https://doi.org/10.2139/ssrn.5267480 DOI: https://doi.org/10.2139/ssrn.5267480

Chiang E.P., Assane D. Determinants of music copyright violations on the university campus. Journal of Cultural Economics. 2007;31(3):187-204. https://doi.org/10.1007/s10824-007-9042-y DOI: https://doi.org/10.1007/s10824-007-9042-y

Andreeva E.I., Bychkov D.G., Feoktistova O.A. COVID-19 and anti-crisis social support. Financial Journal. 2021;13(1):28-38. (In Russ.) https://doi.org/10.31107/2075-1990-2021-1-28-38 DOI: https://doi.org/10.31107/2075-1990-2021-1-28-38

Smirnov E.N. The evolution of international sanctions against Russia. Russian Foreign Economic Journal. 2022;(4):7-35. (In Russ.) https://doi.org/10.24412/2072-8042-2022-4-7-35

Kormishkin E.D., Ivanova I.A., Moiseeva I.V. On the issue of poverty in Russia: facts, paradoxes, specifics, and alleviation prospects. Economic and Social Changes: Facts, Trends, Forecast. 2023;16(4):218-235. (In Russ.) https://doi.org/10.15838/esc.2023.4.88.12 DOI: https://doi.org/10.15838/esc.2023.4.88.12

Škare M., Družeta, R.P. Poverty and economic growth: a review. Technological and Economic development of Economy. 2016;22(1):156-175. https://doi.org/10.3846/20294913.2015.1125965 DOI: https://doi.org/10.3846/20294913.2015.1125965

Martínez R., Ayala L., Ruiz‐Huerta, J. The impact of unemployment on inequality and poverty in OECD countries. Economics of Transition. 2003;9(2):417-447. https://doi.org/10.1111/1468-0351.00082 DOI: https://doi.org/10.1111/1468-0351.00082

Glazyrina I.P., Klevakina E.A. Economic growth and income inequality in Russian regions. ECOl. 2013;11(473):113-128. (In Russ.)

Sánchez–Serrano M., Arce G., Zafrilla J., et al. Unveiling households’ vulnerabilities across regions and generations in Spain: a carbon tax and compensation approach. Journal of Industrial Ecology. 2026;30(1):269-281. https://doi.org/10.1007/s44498-026-00019-x DOI: https://doi.org/10.1007/s44498-026-00019-x

Malkina M.Yu. Evaluation of the factors of intra-regional income differentiation of the Russian population. Spatial Economics. 2015;(3):97-119. (In Russ.) https://doi.org/10.14530/se.2015.3.097-119 DOI: https://doi.org/10.14530/se.2015.3.097-119

Downloads

Most read articles by the same author(s)