| Issue |
ITM Web Conf.
Volume 72, 2025
III International Workshop on “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024)
|
|
|---|---|---|
| Article Number | 03009 | |
| Number of page(s) | 8 | |
| Section | Interdisciplinary Mathematical Modeling and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257203009 | |
| Published online | 13 February 2025 | |
Predictive model of the potential for the use of public-private partnership mechanisms
1 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
2 Siberian Federal University, Krasnoyarsk, Russia
* Corresponding author: ris2005@mail.ru
The study the economic stimulation approaches under the conditions of sanctions restrictions. We propose to increase the growth of investment activity through more effective public investment and widespread involvement of domestic private investment resources in business economic circulation, including various mechanisms of public-private partnership (PPP) and municipal-private partnership (MPP). The problem of using public-private partnerships or municipal-private partnerships is considered, which is associated with the lack of understanding among the participants of such partnerships of the prospects for its development, therefore there is a need to assess the existing development potential of the selected PPP mechanism. The developed methodological foundations of predictive analytics for carrying out in stages using established procedures for quantitative and qualitative assessment of the potential of MPP make it possible to assess the potential of any public-private partnership.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.