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Increase in Excise Tax Rates on Gasoline and Diesel Fuels—a Negative Effect on the Budget and the Economy

https://doi.org/10.18288/1994-5124-2022-1-126-153

Abstract

The oil refining industry is one of the most important structures of the Russian economy. Consumption of oil products provides revenues to the regional and federal budgets through different types of taxes. Increases in excise tax rates carried out in Russia in recent years do not appropriately take into account the impact of this measure on the demand for oil products, thus enabling a decrease in the effectiveness of fiscal policy. Nevertheless, neither are the determinants of oil products consumption properly investigated, nor have science-based estimates of the corresponding elasticities of consumption been submitted in publicly available sources. This article provides a specification of the model of demand for oil products by motor vehicles. Estimation of the model is performed using a detailed monthly panel data set for the subjects of the Russian Federation over the period 2010–2016. The short-term price elasticity constitutes –1.1, while the long-term price elasticity is –2.3. Estimates of the short- and long-term elasticities with respect to income and the number of cars per capita are also found. The obtained results allow one to conclude that in Russia there is elastic demand for oil products and, under existing economic conditions, the current increase in the excise tax rates (by about 0.4 rubles per liter) may lead to a decrease in gasoline consumption in the short and long terms by 0.93% and 2% per car respectively, being neutral for the budget in the short run and negative in the long run.

About the Authors

D. S. Gordeev
Russian Presidential Academy of National Economy and Public Administration (RANEPA); Russian Foreign Trade Academy
Russian Federation

Dmitry S. Gordeev, Cand. Sci. (Econ.), Senior Researcher, Center for Industrial Market Research, Institute of Applied Economic Research; Research

82, Vernadskogo pr., Moscow, 119571; 6A, Vorobyevskoe shosse, Moscow, 119285



E. A. Galeeva
Russian Presidential Academy of National Economy and Public Administration (RANEPA); Gaidar Institute for Economic Policy
Russian Federation

Ekaterina A. Galeeva, Junior Researcher, Center for Industrial Market Research, Institute of Applied Economic Research; Postgraduate Student

 82, Vernadskogo pr., Moscow, 119571; 3–5, Gazetnyy per., Moscow, 125993



References

1. Gordeev D. S., Kosukhina E. A. Otsenka kontsentratsii firm v sfere roznichnoy torgovli nefteproduktami v RF [Evaluation of the Concentration on Gasoline Retail Market in Russia]. Ekonomicheskoe razvitie Rossii [Russian Economic Developments], 2020, vol. 27, no. 11, pp. 52-68. (In Russ.)

2. Kaukin A. S., Miller E. M. Nalogovyy manevr v neftyanoy otrasli: blagopriyatnyy moment dlya zaversheniya [Best Moment to Complete Tax Manoeuvre in Russia’s Oil Industry]. Ekonomicheskoe razvitie Rossii [Russian Economic Developments], 2018, vol. 25, no. 7, pp. 50-54. (In Russ.)

3. Anderson T. W., Hsiao C. Estimation of Dynamic Models with Error Components. Journal of the American Statistical Association, 1981, vol. 76, pp. 598-606. DOI:10.2307/2287517.

4. Arellano M., Bond S. Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 1991, vol. 58, no. 2, pp. 277-297. DOI:10.2307/2297968.

5. Baltagi B. H. Econometric Analysis of Panel Data. N. Y., NY, John Wiley & Sons, 2005.

6. Baltagi B. H., Bresson G., Griffin J. M., Pirotte A. Homogeneous, Heterogeneous or Shrinkage Estimators? Some Empirical Evidence from French Regional Gasoline Consumption. Empirical Economics, 2003, vol. 28, no. 4, pp. 795-811. DOI: 0.1007/s00181-003-0161-9.

7. Baltagi B. H., Griffin J. M. Gasoline Demand in the OECD: An Application of Pooling and Testing Procedures. European Economic Review, 1983, vol. 22, no. 2, pp. 117-137. DOI:10.1016/0014-2921(83)90077-6.

8. Baltagi B. H., Griffin J. M. Pooled Estimators vs. Their Heterogeneous Counterparts in the Context of Dynamic Demand for Gasoline. Journal of Econometrics, 1997, vol. 77, no. 2, pp. 303-327. DOI:10.1016/S0304-4076(96)01802-7.

9. Baranzini A., Weber S. Elasticities of Gasoline Demand in Switzerland. Energy Policy, 2013, vol. 63, pp. 674-680. DOI:10.1016/j.enpol.2013.08.084.

10. Blundell R., Bond S. Initial Conditions and Moment Restrictions in Dynamic Panel Data Models. Journal of Econometrics, 1998, vol. 87, pp. 115-143. DOI:10.1016/S0304-4076-(98)00009-8.

11. Bruno G. Approximating the Bias of the LSDV Estimator for Dynamic Unbalanced Panel Data Models. Economics Letters, 2005, vol. 87, no. 3, pp. 361-366. DOI:10.1016/j.econlet.2005.01.005.

12. Bun M. J. G., Kiviet J. F. On the Diminishing Returns of Higher-Order Terms in Asymptotic Expansions of Bias. Economics Letters, 2003, vol. 79, no. 2, pp. 145-152. DOI:10.1016/ S0165-1765(02)00299-9.

13. Bun M. J. G., Kiviet J. F. The Effects of Dynamic Feedbacks on LS and MM Estimator Accuracy in Panel Data Models. Journal of Econometrics, 2006, vol. 132, no. 2, pp. 409-444. DOI:10.1016/j.jeconom.2005.02.006.

14. Dahl C. Measuring Global Gasoline and Diesel Price and Income Elasticities. Energy Policy, 2012, vol. 41, pp. 2-13. DOI:10.1016/j.enpol.2010.11.055.

15. Davis L. W., Kilian L. Estimating the Effect of a Gasoline Tax on Carbon Emissions. Journal of Applied Econometrics, 2011, vol. 26, no. 7, pp. 1187-1214. DOI:10.1002/jae.1156.

16. Espey M. Gasoline Demand Revisited: An International Meta-Analysis of Elasticities. Energy Economics, 1998, vol. 20, no. 3, pp. 273-295. DOI:10.1016/S0140-9883(97)00013-3.

17. Graham D. J., Glaister S. The Demand for Automobile Fuel: A Survey of Elasticities. Journal of Transport Economics and Policy, 2002, vol. 36, no. 1, pp. 1-26.

18. Kiviet J. F. On Bias, Inconsistency, and Efficiency of Some Estimators in Dynamic Panel Data Models. Journal of Econometrics, 1995, vol. 68, no. 1, pp. 53-78. DOI:10.1016/0304-4076(94)01643-E.

19. Nickell S. Biases in Dynamic Models with Fixed Effects. Econometrica, 1981, vol. 49, no. 6, pp. 1417-1426. DOI:10.2307/1911408.

20. Pock M. Gasoline Demand in Europe: New Insights. Energy Economics, 2010, vol. 32, no. 1, pp. 54-62. DOI:10.1016/j.eneco.2009.04.002.

21. Schmalensee R., Stoker T. M. Household Gasoline Demand in the United States. Econometrica, 1999, vol. 67, no. 3, pp. 412-418. DOI:10.1111/1468-0262.00041.

22. Scott K. R. Rational Habits in Gasoline Demand. Energy Economics, 2012, vol. 34, no. 5, pp. 1713-1723. DOI:10.1016/j.eneco.2012.02.007.

23. Wooldridge J. M. Introductory Econometrics: A Modern Approach. Toronto, Nelson Education, 2016.


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For citations:


Gordeev D.S., Galeeva E.A. Increase in Excise Tax Rates on Gasoline and Diesel Fuels—a Negative Effect on the Budget and the Economy. Economic Policy. 2022;17(1):126-153. (In Russ.) https://doi.org/10.18288/1994-5124-2022-1-126-153

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ISSN 1994-5124 (Print)
ISSN 2411-2658 (Online)