Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Public-private partnership models with tax incentives : Numerical analysis of solutions. / Lavlinskii, Sergey; Panin, Artem A.; Plyasunov, Aleksandr V.
Optimization Problems and Their Applications - 7th International Conference, OPTA 2018, Revised Selected Papers. Springer-Verlag GmbH and Co. KG, 2018. стр. 220-234 (Communications in Computer and Information Science; Том 871).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Public-private partnership models with tax incentives
T2 - 7th International Conference on Optimization Problems and Their Applications, OPTA 2018
AU - Lavlinskii, Sergey
AU - Panin, Artem A.
AU - Plyasunov, Aleksandr V.
N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - An analysis is presented of a public-private partnership model in the natural resources sector of Russia, whereby the government provides tax incentives and supports the investor in infrastructure development and, to some extent, in the implementation of mandatory environmental measures. The analysis builds on the Stackelberg model and an original iterative solution algorithm based on probabilistic local search. A full-size model test site is constructed to demonstrate the capabilities of the approach. The actual data and dimensions of the model test site capture the specificity of the modeled object and make possible a practical study of the properties of the Stackelberg equilibrium. Based on the modeling results, an assessment is made of the impact of various factors on the effectiveness of the subsoil development program and the basic principles are formulated for government decision-making in this area.
AB - An analysis is presented of a public-private partnership model in the natural resources sector of Russia, whereby the government provides tax incentives and supports the investor in infrastructure development and, to some extent, in the implementation of mandatory environmental measures. The analysis builds on the Stackelberg model and an original iterative solution algorithm based on probabilistic local search. A full-size model test site is constructed to demonstrate the capabilities of the approach. The actual data and dimensions of the model test site capture the specificity of the modeled object and make possible a practical study of the properties of the Stackelberg equilibrium. Based on the modeling results, an assessment is made of the impact of various factors on the effectiveness of the subsoil development program and the basic principles are formulated for government decision-making in this area.
KW - Bilevel mathematical programming problems
KW - Mineral resources development program
KW - Probabilistic local search algorithm
KW - Stackelberg game
UR - http://www.scopus.com/inward/record.url?scp=85049673292&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93800-4_18
DO - 10.1007/978-3-319-93800-4_18
M3 - Conference contribution
AN - SCOPUS:85049673292
SN - 9783319937991
T3 - Communications in Computer and Information Science
SP - 220
EP - 234
BT - Optimization Problems and Their Applications - 7th International Conference, OPTA 2018, Revised Selected Papers
PB - Springer-Verlag GmbH and Co. KG
Y2 - 8 June 2018 through 14 June 2018
ER -
ID: 14464446