Abstract
This article continues the author’s research into cooperation between public and private investors in the resource region. Unlike previous works, here an attempt was made to explicitly take into account the interests of the local population. This work aims to analyze the partnership mechanisms in terms of efficiency, using the game-theoretical Stackelberg model. Such mechanisms determine the economic policy of the state and play an important role in addressing a whole range of issues related to the strategic management of the natural resource sector in Russia. Models are formulated as bilevel mathematical programming problems with two optimization criteria at the upper level. Effective solution algorithms based on metaheuristics and allowing solving large-dimensional problems will be developed. This opens up the possibility of practical study on the real data of the properties of Stackelberg equilibrium, which determines the design of the mechanism for the formation of economic policy, clearly taking into account the interests of the local population. The simulation results will allow not only to assess the impact of various factors on the effectiveness of the generated subsoil development program but also to formulate the basic principles that should guide the state in the strategic management process.
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Acknowledgements
The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. 0314-2019-0014). This work was financially supported by the Russian Foundation for Basic Research (projects numbers 20-010-00151 and 19-410-240003).
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Lavlinskii, S., Panin, A., Plyasunov, A. (2021). Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector. In: Strekalovsky, A., Kochetov, Y., Gruzdeva, T., Orlov, A. (eds) Mathematical Optimization Theory and Operations Research: Recent Trends. MOTOR 2021. Communications in Computer and Information Science, vol 1476. Springer, Cham. https://doi.org/10.1007/978-3-030-86433-0_25
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