Bilevel Models for Investment Policy in Resource-Rich Regions

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

This article continues the research of the authors into cooperation between public and private investors in the natural resource sector. This work aims to analyze the partnership mechanisms in terms of efficiency, using the game-theoretical Stackelberg model. Such mechanisms determine the investment 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. For bilevel mathematical programming problems, the computational complexity will be evaluated and effective solution algorithms based on metaheuristics and allowing solving large-dimensional problems will be developed. This opens up the possibility of a practical study on the real data of the properties of Stackelberg equilibrium, which determines the design of the mechanism for forming investment policies. 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 management process.

Язык оригиналаанглийский
Название основной публикацииMathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers
РедакторыYury Kochetov, Igor Bykadorov, Tatiana Gruzdeva
ИздательSpringer Science and Business Media Deutschland GmbH
Страницы36-50
Число страниц15
ISBN (печатное издание)9783030586560
DOI
СостояниеОпубликовано - июл 2020
Событие19th International Conference on Mathematical Optimization Theory and Operations Research,MOTOR 2020 - Novosibirsk, Российская Федерация
Продолжительность: 6 июл 202010 июл 2020

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том1275 CCIS
ISSN (печатное издание)1865-0929
ISSN (электронное издание)1865-0937

Конференция

Конференция19th International Conference on Mathematical Optimization Theory and Operations Research,MOTOR 2020
СтранаРоссийская Федерация
ГородNovosibirsk
Период06.07.202010.07.2020

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