| In the section | Articles |
| Title of the article | The Scale of the Shadow Economy in the Sphere of Urban and Suburban Passenger Transportation in Regions of Russia |
| Pages | 124-141 |
| Author | Evgeny Alexandrovich Uvarov Postgraduate Student National Research University Higher School of Economics 20 Myasnitskaya St., Moscow, 101000, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ; This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-9324-3807 |
| Abstract | The author considers a non-cash fare payment system as an effective tool to reduce the shadow income of transport organizations. The object is shadow economy in regions of Russia. The subject is the public passenger transport sphere. The author studies buses on municipal regular transport routes (city and suburbs). The category of buses also includes buses of small capacity, i. e. ‘Minibuses’. The scientific novelty of the work is to obtain quantitative and qualitative estimates of the extent and consequences of the shadow sector of the provision in the public passenger transport sphere in regions of Russia. The work takes into account a non-cash fare system using debit, credit, transport and social (preferential) cards. It was revealed that in 2018, a non-cash system was installed in 56 regions and in 29 regions was not installed. Based on the panel data analysis, considering endogeneity, AR (1), heteroskedasticity, the work revealed, where the statistical significance at p-value <= 10%, a positive effect of a non-cash fare system on the number of passengers carried on municipal buses and commercial buses. The average annual increase in the number of passengers, as a result of the installation of a non-cash system, amounted to 5840 thousand people. The data obtained showed that from 2014 to 2017, the amount of the shadow revenue of transport organizations was 7,2 billion rubles and the amount of unpaid taxes to the budget ranged from 0,4 to 2,6 billion rubles. The author concludes that the installation of a non-cash fare system leads to a decrease in the shadow economy in the public passenger transport services |
| Code | 332+338 |
| JEL | O17, R11, R40 |
| DOI | https://dx.doi.org/10.14530/se.2020.2.124-141 |
| Keywords | shadow economy ♦ bus and minibus transportations ♦ shadow revenue ♦ shadow income ♦ payment by card ♦ non-cash system ♦ fare ♦ regions ♦ Russia |
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| For citation | Uvarov E.A. The Scale of the Shadow Economy in the Sphere of Urban and Suburban Passenger Transportation in Regions of Russia. Prostranstvennaya Ekonomika = Spatial Economics, 2020, vol. 16, no. 2, pp. 124–141. https://dx.doi.org/10.14530/se.2020.2.124-141 (In Russian) |
| References | 1. Albalate D., Bel G. What Shapes Local Public Transportation in Europe? Economics, Mobility, Institutions and Geography. Transportation Research Part E: Logistics and Transportation Review, 2010, vol. 46, issue 5, pp. 775–790. 2. Arosanyin G.T., Olowosulu A.T., Oyeyemi G.M. Employment Generation and Earnings in the Informal Transport Sector in Nigeria. International Business and Management, 2011, vol. 2, no. 2, pp. 139–148. 3. Barabino B., Salis S. Moving Towards a More Accurate Level of Inspection Against Fare Evasion in Proof-of-Payment Transit Systems. Networks and Spatial Economics, 2019, vol. 19, pp. 1319–1346. 4. Cihat P. The Demand Determinants for Urban Public Transport Services: A Review of the Literature. Journal of Applied Sciences, 2012, vol. 12, issue 12, pp. 1211–1231. 5. Financial Intelligence Estimated the Volume of the Shadow Economy in Russia at 20 Trillion Rubles. RBK [RBC], 2019, 22 February. Available at: (accessed February 2020). (In Russian). 6. Guarda P., Galilea P., Paget-Seekins L., Ortuzar J.D. What is Behind Fare Evasion in Urban Bus Systems? An Econometric Approach. Transportation Research Part A: Policy and Practice, 2016, vol. 84, pp. 55–71. 7. Kassa F. Informal Transport and Its Effects in the Developing World: A Case Study of Addis Ababa, Ethiopia. Journal of Transport Literature, 2014, vol. 8, no. 2, pp. 113–133. https://dx.doi.org/10.1590/S2238-10312014000200006 8. Kumar M., Singh S., Ghate A.T., Pal S. Wilson S.A. Informal Public Transport Modes in India: A Case Study of Five City Regions. IATSS Research, 2016, vol. 39, issue 2, pp. 102–109. 9. Maina A. W. Improving Tax Compliance in the Informal Sector: A Case for Public Transport ‘Matatus’ in Kenya. ATRN Working Paper 03, 2016, 31 p. Available at: (accessed February 2020). 10. Medina L., Schneider F. Shadow Economies Around the World: What Did We Learn Over the Last 20 Years? IMF Working Paper No. 18/17, 2018, 77 p. Available at: (accessed February 2020). 11. Moreno-Monroy A. Access to Public Transport and Labor Informality. IZA World of Labor, 2016. Available at: (accessed February 2020). 12. Mwaura R.N. Determinants of Financial Performance of Public Transport Businesses in Kenya: Case of Kiambu County. 2014. Available at: (accessed February 2020). 13. Nwachukwu A.A. Assessment of Passenger Satisfaction with Intra-City Public Bus Transport Services in Abuja, Nigeria. Journal of Public Transportation, 2014, vol. 17, no. 1, pp. 99–119. 14. Ogunrinola I.O. Informal Self-Employment and Poverty Alleviation: Empirical Evidence from Motorcycle Taxi Riders in Nigeria. International Journal of Economics and Finance, 2011, vol. 3, no. 2, pp. 176–185. 15. Ojo T.K., Abane R.A. Bus Passenger Movement in Ghana: A Case of Intercity State Transport Corporation (ISTC) Coaches Ltd., 2014. Available at: (accessed February 2020). 16. Park H.M. Practical Guides To Panel Data Modeling: A Step-by-step Analysis Using Stata. International University of Japan, 2011, 53 р. Available at: (accessed February 2020). 17. Putnins T., Sauka A. Shadow Economy Index for Russia 2017–2018: Comparison with the Size of the Shadow Economies in Ukraine, Kyrgyzstan, Kosovo, Moldova, Romania, Latvia, Lithuania, Estonia and Poland, 2020. Available at: (accessed February 2020). 18. Rosstat Measured the «Invisible» Economy of Russia. RBK [RBC], 2019, 29 August. Available at: (accessed February 2020). (In Russian). 19. Schaffer M.E. XTIVREG28: Stata Module to Perform Extended IV/2SLS, GMM and AC/HAC, LIML and K-Class Regression for Panel Data Models, 2012. Available at: (accessed February 2020). 20. Sebele-Mpofu F.Y., Mususa A. How Successful is Presumptive Tax in Bringing Informal Operators into the Tax Net in Zimbabwe? A Study of Transport Operators in Bulawayo. International Journal of Innovative Science and Research Technology, 2019, vol. 4, issue 3, pp. 79–88. 21. Shmarin A.A. About Features of Forming of the Income and Expenses of Transport Companies Engaged in Passenger Transportation. Ekonomika i Biznes: Teoriya i Praktika = Economy and Business: Theory and Practice, 2018, no. 9, pp. 221–224. (In Russian). 22. Velmozhin A.V., Gudkov V.A., Kulikov A.V., Serikov A.A. The Efficiency of Urban Passenger Public Transport. Volgograd, 2002, 256 p. (In Russian). 23. Wojuaden C.A., Badiora W. Users’ Satisfaction with Public Transport Operations in Ibadan, Nigeria. The Journal of Social Sciences Research, 2017, vol. 3, pp. 88–96. |
| Submitted | 15.03.2020 |
| Revised | 07.05.2020 |
| Published online | 30.06.2020 |