Preview

Eurasian Journal of Economic and Business Studies

Advanced search

The Economic Burden of Road Traffic Crashes in Kazakhstan’s Major Cities

https://doi.org/10.47703/2789-8253-2026-3-71-88

Abstract

Road traffic accidents create significant losses of public welfare associated with premature deaths and injuries, which necessitates their monetary assessment when justifying transport and social policy measures. The purpose of the study is to assess and compare the economic burden of registered road crash outcomes in Almaty and Astana and to evaluate the robustness of the resulting estimates to changes in key calculation parameters. The initial data are organized as a “city–year” panel of 18 observations, based on official statistics from the Bureau of National Statistics of the Republic of Kazakhstan, the Committee on Legal Statistics and Special Accounting, and the World Bank’s World Development Indicators. The methodology is based on the Value of a Statistical Life (VSL) and Willingness-to-Pay (WTP) approaches. The results showed that the total monetized burden for 2015-2023 amounted to 809.75 billion tenge in Almaty and 303.88 billion tenge in Astana, or 1.114 trillion tenge in the two cities. The estimated burden in Almaty was 2.66 times that in Astana. Depending on the scenario, the cumulative burden ranged from 776.58 billion to 1,590.08 billion tenge, while the higher losses in Almaty persisted across all robustness checks. The results confirm the importance of accounting for deaths and injuries in the economic assessment of road safety measures and in conducting a cost–benefit analysis. Thus, the city ranking remains stable across the checks, whereas the magnitudes of the decomposition depend on the initial administrative observation.

About the Author

K. Zh. Daubayev
Institute of Logistics and Business, ALT University named after Mukhamedzhan Tynyshpayev
Kazakhstan

Kanat Zh. Daubayev – Doc. Sc. (Econ.)

Almaty



References

1. ADB. (2025). Kazakhstan road crash data review and reporting: Status and recommendations. Central Asia Regional Economic Cooperation Program. Retrieved May 30, 2026, from https://www.carecprogram.org/uploads/KAZ-Road-Crash-Data-Review_MAR2025_web.pdf

2. Bougna, T., Hundal, G., & Taniform, P. (2022). Quantitative analysis of the social costs of road traffic crashes literature. Accident Analysis & Prevention, 165, 106282. https://doi.org/10.1016/j.aap.2021.106282

3. Bureau of National Statistics. (2025). Official statistical data. Retrieved March 15, 2026 from https://stat.gov.kz/en/

4. Chantith, C., Permpoonwiwat, C. K., & Hamaide, B. (2021). Measure of productivity loss due to road traffic accidents in Thailand. IATSS Research, 45(1), 131–136. https://doi.org/10.1016/j.iatssr.2020.07.001

5. Connelly, L. B., & Supangan, R. (2006). The economic costs of road traffic crashes: Australia, states and territories. Accident Analysis & Prevention, 38(6), 1087–1093. https://doi.org/10.1016/j.aap.2006.04.015

6. Elvik, R. (2000). How much do road accidents cost the national economy? Accident Analysis & Prevention, 32(6), 849–851. https://doi.org/10.1016/S0001-4575(00)00015-4

7. Hammitt, J. K., & Robinson, L. A. (2011). The income elasticity of the value per statistical life: Transferring estimates between high and low income populations. Journal of Benefit-Cost Analysis, 2(1), 1–29. https://doi.org/10.2202/2152-2812.1009

8. Milligan, C., Kopp, A., Dahdah, S., & Montufar, J. (2014). Value of a statistical life in road safety: A benefit-transfer function with risk-analysis guidance based on developing country data. Accident Analysis & Prevention, 71, 236–247. https://doi.org/10.1016/j.aap.2014.05.026

9. OECD. (2012). Mortality risk valuation in environment, health and transport policies. OECD Publishing. https://doi.org/10.1787/9789264130807-en

10. OECD. (2025). Mortality risk valuation in policy assessment: A global meta-analysis of value of statistical life studies. OECD Publishing. https://doi.org/10.1787/76ca89a2-en

11. Prosecutor General of the Republic of Kazakhstan. (2024). On amendments to Order No. 131 concerning the reporting of road traffic crashes resulting in death or injury (Order No. 75, June 12, 2024). Adilet. https://adilet.zan.kz/rus/docs/V2400034491 (In Russ.)

12. Robinson, L. A., Hammitt, J. K., & O’Keeffe, L. (2019). Valuing mortality risk reductions in global benefit-cost analysis. Journal of Benefit-Cost Analysis, 10(S1), 15–50. https://doi.org/10.1017/bca.2018.26

13. Schoeters, A., Large, M., Koning, M., Carnis, L., Daniels, S., Mignot, D., Urmeew, R., Wijnen, W., Bijleveld, F., & van der Horst, M. (2022). Economic valuation of preventing fatal and serious road injuries: Results of a willingness-to-pay study in four European countries. Accident Analysis & Prevention, 173, 106705. https://doi.org/10.1016/j.aap.2022.106705

14. Shorrocks, A. F. (2013). Decomposition procedures for distributional analysis: A unified framework based on the Shapley value. The Journal of Economic Inequality, 11, 99–126. https://doi.org/10.1007/s10888-011-9214-z

15. Taniform, P., Persia, L., Usami, D. S., Kunsoan, N. B., Karumba, M. M., & Wijnen, W. (2023). An assessment of the social costs of road traffic crashes in Cameroon. Sustainability, 15(2), 1316. https://doi.org/10.3390/su15021316

16. Trawén, A., Maraste, P., & Persson, U. (2002). International comparison of costs of a fatal casualty of road accidents in 1990 and 1999. Accident Analysis & Prevention, 34(3), 323–332. https://doi.org/10.1016/S0001-4575(01)00029-X

17. Viscusi, W. K., & Aldy, J. E. (2003). The value of a statistical life: A critical review of market estimates throughout the world. Journal of Risk and Uncertainty, 27 (1), 5–76. https://doi.org/10.1023/A:1025598106257

18. Viscusi, W. K., & Masterman, C. J. (2017). Income elasticities and global values of a statistical life. Journal of Benefit-Cost Analysis, 8(2), 226–250. https://doi.org/10.1017/bca.2017.12

19. Wijnen, W. (2021). Socio-economic costs of road crashes in middle-income countries: Applying a hybrid approach to Kazakhstan. IATSS Research, 45(3), 293–302. https://doi.org/10.1016/j.iatssr.2020.12.006

20. Wijnen, W., Dahdah, S., & Pkhikidze, N. (2026). The value of a statistical life in the context of road safety: A new value transfer approach. Traffic Injury Prevention, 27 (1), 42–49. https://doi.org/10.1080/15389588.2025.2476607

21. Wijnen, W., & Stipdonk, H. (2016). Social costs of road crashes: An international analysis. Accident Analysis & Prevention, 94, 97–106. https://doi.org/10.1016/j.aap.2016.05.005

22. Wijnen, W., Weijermars, W., Schoeters, A., van den Berghe, W., Bauer, R., Carnis, L., Elvik, R., & Martensen, H. (2019). An analysis of official road crash cost estimates in European countries. Safety Science, 113, 318–327. https://doi.org/10.1016/j.ssci.2018.12.004

23. Wisutwattanasak, P., Jomnonkwao, S., Khampirat, B., Raungratanaamporn, I.-S., & Ratanavaraha, V. (2024). Multilevel structural equation modeling of willingness-to-pay for fatality risk reduction: Perspectives of driver and district levels. International Journal of Injury Control and Safety Promotion, 31(1), 96–110. https://doi.org/10.1080/17457300.2023.2266841

24. World Bank. (2022). Socioeconomic impacts of road traffic injuries in Central Asia. Retrieved May 30, 2026, from https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099655004252264808

25. World Bank. (2025). World Development Indicators. Retrieved May 30, 2026, from https://databank.worldbank.org/source/world-development-indicators

26. WHO. (2023). Global status report on road safety 2023. Retrieved May 30, 2026, from https://www.who.int/publications/i/item/9789240086517


Review

For citations:


Daubayev K.Zh. The Economic Burden of Road Traffic Crashes in Kazakhstan’s Major Cities. Eurasian Journal of Economic and Business Studies. 2026;70(3):71-88. https://doi.org/10.47703/2789-8253-2026-3-71-88

Views: 13

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2789-8253 (Print)
ISSN 2789-8261 (Online)