Preview

Voprosy Ekonomiki

Advanced search
Open Access Open Access  Restricted Access Subscription Access

Risk assessment of public-private partnership in Russia based on the fuzzy logic method

https://doi.org/10.32609/0042-8736-2020-10-132-143

Abstract

This paper is the first to assess the integral level of risks in public-private partnership (PPP) projects being implemented in Russia, taking into account the stages of project implementation. The results of empirical assessments have shown that the aggregate risk level is now estimated by experts as high. The key risks are incorrect assessment of project parameters, possible change of tariffs as well as risks related to the construction stage and demand for services. The majority of risk factors in PPP projects are of sectoral, project-level nature and are not related to economic, political or legal conditions. The study has shown differences in the structure of risks that partnership subjects are willing to take and transfer to another party, which has allowed to justify the distribution of risks among participants.

Keywords


JEL: С15, С65, H54, H72, L33, L92, L93, L94, L95, L96, L97, L98.

About the Authors

A. N. Savrukov
JSC Russian Railways; Financial University under the Government of the Russian Federation
Russian Federation
Moscow


N. Т. Savrukov
Nizhniy Novgorod State Engineering and Economic University
Russian Federation

Knyaginino, Nizhny Novgorod Region



E. A. Kozlovskaya
Peter the Great St. Petersburg Polytechnic University
Russian Federation
St. Petersburg


References

1. Varnavsky V. G., Klimenko A. V., Korolev V. A. (2010). Public-private partnership: Theory and рractice. Moscow: HSE. (In Russian).

2. Savrukov A. N., Savrukov N. T., Kozlovskaya E. A. (2018). Assessment of the state and level of development of public-private partnership projects in the constituent entities of the Russian Federation. Voprosy Economiki, No. 7, pp. 131—141. (In Russian). https://doi.org/10.32609/0042-8736-2018-7-131-141

3. Sokolov M. Y., Maslova S. V. (2013). Risk management in public-private partnership projects. Vestnik of St. Petersburg University. Series 8: Management, No. 4, pp. 100—124. (In Russian).

4. Abednego M. P., Ogunlana S. O. (2006). Good project governance for proper risk allocation in public—private partnerships in Indonesia. International Journal of Project Management, Vol. 24, No. 7, pp. 622—634. https://doi.org/10.1016/j.ijproman.2006.07.010

5. Ameyaw E. E., Chan A. P. C. (2013). Identifying public-private partnership (PPP) risks in managing water supply projects in Ghana. Journal of Facilities Management, Vol. 11, No. 2, pp. 152—182. https://doi.org/10.1108/14725961311314651

6. Ameyaw E. E., Chan A. P. C. (2015). Evaluation and ranking of risk factors in public— private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach. Expert Systems with Applications, Vol. 42, No. 12, pp. 5102—5116. https://doi.org/10.1016/j.eswa.2015.02.041

7. Burke R., Demirag I. (2017). Risk transfer and stakeholder relationships in public private partnerships. Accounting Forum, Vol. 41, No. 1, pp. 28—43. https://doi.org/10.1016/j.accfor.2016.06.004

8. Chan A. P. C., Tam C. M. (2000). Factors affecting the quality of building projects in Hong Kong. International Journal of Quality & Reliability Management, Vol. 17, No. 4/5, pp. 423—442. https://doi.org/10.1108/02656710010298445

9. Chan A. P. C., Lam P. T. I., Wen Y., Ameyaw E. E., Wang S., Ke Y. (2014). Crosssectional analysis of critical risk factors for PPP water projects in China. Journal of Infrastructure Systems, Vol. 21, No. 1, pp. 4001—4031. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000214

10. Cheung С. Е., Chan A. P. C. (2011). Risk factors of public-private partnership projects in China: Comparison between the water, power, and transportation sectors. Journal of Urban Planning and Development, Vol. 137, No. 4, pp. 409—415. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000086

11. Choi J.-H., Chung J., Lee D.-J. (2010). Risk perception analysis: Participation in China’s water PPP market. International Journal of Project Management, Vol. 28, No. 6, pp. 580—592. https://doi.org/10.1016/j.ijproman.2009.10.010

12. Cronbach L. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, Vol. 16, pp. 297—334. https://doi.org/10.1007/BF02310555

13. Flyvbjerg В., Skamris H. M. K., Buhl S. L. (2014). Underestimating costs in public works projects: Error or lie? Journal of the American Planning Association, Vol. 68, No. 3, pp. 182—198. https://doi.org/10.1080/01944360208976273

14. Haarmeyer D., Mody A. (1998). Tapping the private sector: Approaches to managing risk in water and sanitation. Washington, DC: World Bank.

15. Hair J. F. Jr., Black W. C., Babin B. J., Anderson R. E. (2014). Multivariate data analysis. Pearson Education Limited.

16. Hsiao S.-W. (1998). Fuzzy logic based decision model for product design. International Journal of Industrial Ergonomics, Vol. 21, No. 2, pp. 103—116. https://doi.org/10.1016/S0169-8141(96)00072-8

17. Hwang B.-G., Zhao X., Gay M. J. S. (2013). Public private partnership projects in Singapore: Factors, critical risks and preferred risk allocation from the perspective of contractors. International Journal of Project Management, Vol. 31, No. 3, pp. 424—433. https://doi.org/10.1016/j.ijproman.2012.08.003

18. Jin X.-H., Zhang G. (2011). Modelling optimal risk allocation in PPP projects using artificial neural networks. International Journal of Project Management, Vol. 29, No. 5, pp. 591—603. https://doi.org/10.1016/j.ijproman.2010.07.011

19. Ke Y., Wang S., Chan A. P. C., Cheung E. (2011). Understanding the risks in China’s PPP projects: Ranking of their probability and consequence. Engineering, Сonstruction and Architectural Management, Vol. 18, No. 5, pp. 481—496. https://doi.org/10.1108/09699981111165176

20. Likert R. (1932). A technique for the measurement of attitudes. Archives of Psychology, Vol. 22, No. 140, pp. 1—55.

21. Liu J., Wei Q. (2018). Risk evaluation of electric vehicle charging infrastructure public-private partnership projects in China using fuzzy TOPSIS. Journal of Cleaner Production, Vol. 189, pp. 211—222. http://dx.doi.org/10.1016/j.jclepro.2018.04.103

22. Schaufelberger J. E., Wipadapisut I. (2003). Alternate financing strategies for build-operatetransfer projects. Journal of Construction Engineering and Management, Vol. 129, No. 2, pp. 205—213. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:2(205)

23. Vining A. R., Boardman A. E. (2008). Public-рrivate рartnerships in Canada. Theory and evidence. Canadian Public Administration, Vol. 51, No. 1, pp. 9—44. https://doi.org/10.1111/j.1754-7121.2008.00003.x

24. Vining A. R., Boardman A. E., Poschmann F. (2005). Public-private partnerships in the US and Canada: There are no free lunches. Journal of Comparative Policy Analysis: Research and Practice, Vol. 7, No. 3, pp. 199—220. https://doi.org/10.1080/13876980500209363

25. Wibowo A., Mohamed S. (2010). Risk criticality and allocation in privatised water supply projects in Indonesia. International Journal of Project Management, Vol. 28, No. 5, pp. 504—513. https://doi.org/10.1016/j.ijproman.2009.08.003

26. Wu Y., Li L., Xu R., Chen K., Hu Y., Lin X. (2017). Risk assessment in straw-based power generation public-private partnership projects in China: A fuzzy synthetic evaluation analysis. Journal of Cleaner Production, Vol. 161, pp. 977—990. https://doi.org/10.1016/j.jclepro.2017.06.008

27. Xenidis Y., Angelides D. C. (2005). The financial risks in build-operate-transfer projects. Construction Management and Economics, Vol. 23, No. 4, pp. 431—441. https://doi.org/10.1080/01446190500041552

28. Xu Y., Yang Y., Chan A. P. C., Yeung J., Cheng H. (2011). Identification and allocation of risks associated with PPP water projects in China. International Journal of Strategic Property Management, Vol. 15, No. 3, pp. 275—294. https://doi.org/10.3846/1648715X.2011.617867

29. Xu Y., Yeung J., Chan A. P. C., Chan D., Wang S., Ke Y. (2010). Developing a risk assessment model for PPP projects in China. A fuzzy synthetic evaluation approach. Automation in Construction, Vol. 19, No. 7, pp. 929—943. https:/ doi.org/10.1016/j.autcon.2010.06.006

30. Zadeh L. (1965). Fuzzy sets. Information and Control, Vol. 8, No. 3, pp. 338—353. https://doi.org/10.1016/S0019-9958(65)90241-X


Review

For citations:


Savrukov A.N., Savrukov N.Т., Kozlovskaya E.A. Risk assessment of public-private partnership in Russia based on the fuzzy logic method. Voprosy Ekonomiki. 2020;(10):132-143. (In Russ.) https://doi.org/10.32609/0042-8736-2020-10-132-143

Views: 1750


ISSN 0042-8736 (Print)