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Educational Programme
Final Grade
Year of Graduation
Anastasiia Sycheva
Risk Management of Public-Private Partnership Infrastructure Project in the Transport Sector
(Bachelor’s programme)
In recent years, around the world, States have been using mechanisms to attract private sector investment for the implementation of various infrastructure projects through the conclusion of public-private partnership agreements. Despite the increased attractiveness for the creation of partnerships between the state and the private sector, there are a number of problems that are caused primarily by illiterate risk management and their distribution among the project participants, so for the successful implementation of such projects it is necessary to introduce a risk management system into the practice of organization.

The main purpose of the study is to develop recommendations for risk management of PPP infrastructure projects in the transport sector and their distribution among the participants.

To achieve this goal, the following tasks were performed:

1. The processes and tools of risk management are analyzed;

2. The typical risks inherent in infrastructure projects of public-private partnership in the transport sector are identified;

3. A comparative analysis of the level of PPP development in Russia in the context of the first fifteen countries in terms of GDP;

4. The analysis of the level of domestic PPP development in the transport industry in comparison with other countries;

5. The analysis of the external and internal environment of the project, through which the risks inherent in the project for the construction of high-speed highway "M-11 Moscow-St. Petersburg" on the section of km 58 – km 149 are identified.

6. The qualitative analysis of the identified risks by means of questioning is carried out;

7. The financial model of the project is developed;

8. The quantitative risk assessment based on the developed financial model with the use of sensitivity analysis and scenario analysis.

9. Recommendations on risk management and their distribution among the project participants have been developed.

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