Stackelberg Model and Public-Private Partnerships in the Natural Resources Sector of Russia Full article
Journal |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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Output data | Year: 2019, Volume: 11548, Pages: 158-171 Pages count : 14 DOI: 10.1007/978-3-030-22629-9_12 | ||||||
Tags | Stackelberg game · Bilevel mathematical programming problems · Mineral resources development program · Probabilistic local search algorithm | ||||||
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Abstract:
A comparative analysis is conducted of the efficiency of different
partnership models in the natural resources sector of Russia. The
first one is a classic public-private partnership (PPP) model used in
developed countries, whereby a private company builds an object of public
property and transfers it to the government either immediately after
the construction or after a certain period of operation of the object.
The second model represents for the government a costly alternative
of the former and is used in Russia in underdeveloped regions. This
model assumes that the government supports the investor in infrastructure
development and, in part, in the implementation of mandatory environmental
protection measures and can also provide tax incentives. In
practical terms, this work aims to look into possible ways of transforming
the current Russian PPP model towards the classic forms of partnership.
To conduct the comparative analysis of the PPP models, Stackelberg
models are formulated and original iterative algorithms are developed for
solving the corresponding bilevel Boolean programming problems based
on probabilistic local search. The properties of the equilibrium solutions
are studied using real data for the Transbaikal krai. Based on the modeling
results, the different partnership models are compared to find out
the conditions under which the private investor would choose to invest
in publicly owned industrial infrastructure facilities in Russia.
Cite:
Lavlinskii S.
, Panin A.
, Plyasunov A.V.
Stackelberg Model and Public-Private Partnerships in the Natural Resources Sector of Russia
Lecture Notes in Computer Science. 2019. V.11548. P.158-171. DOI: 10.1007/978-3-030-22629-9_12 Scopus OpenAlex
Stackelberg Model and Public-Private Partnerships in the Natural Resources Sector of Russia
Lecture Notes in Computer Science. 2019. V.11548. P.158-171. DOI: 10.1007/978-3-030-22629-9_12 Scopus OpenAlex
Identifiers:
Scopus: | 2-s2.0-85067662189 |
OpenAlex: | W2953074627 |