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Regulation of renewable resource exploitation

Authors :
Thibaut Mastrolia
Idris Kharroubi
Thomas Lim
Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001))
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
Laboratoire Analyse et Probabilités (LAE)
Université d'Évry-Val-d'Essonne (UEVE)
Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP)
École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)
ANR-16-CE05-0027,PACMAN,Problèmes principal-agent, théorie des contrats et jeux à champ moyen pour l'énergie(2016)
Laboratoire de Probabilités, Statistiques et Modélisations (LPSM (UMR_8001))
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)
Laboratoire de Mathématiques et Modélisation d'Evry (LaMME)
ENSIIE-Université d'Évry-Val-d'Essonne (UEVE)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)
Source :
SIAM Journal on Control and Optimization, SIAM Journal on Control and Optimization, 2019, 58 (1), pp.551-579. ⟨10.1137/19M1265740⟩, SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2019, 58 (1), pp.551-579. ⟨10.1137/19M1265740⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

We investigate the impact of a regulation policy imposed on an agent exploiting a possibly renewable natural resource. We adopt a principal-agent model in which the Principal looks for a contract, i.e. taxes/compensations, leading the Agent to a certain level of exploitation. For a given contract, we first describe the Agent's optimal harvest using the BSDE theory. Under regularity and boundedness assumptions on the coefficients, we express almost optimal contracts as solutions to HJB equations. We then extend the result to coefficients with less regularity and logistic dynamics for the natural resource. We end by numerical examples to illustrate the impact of the regulation in our model.<br />Comment: 7 figures

Details

Language :
English
ISSN :
03630129 and 10957138
Database :
OpenAIRE
Journal :
SIAM Journal on Control and Optimization, SIAM Journal on Control and Optimization, 2019, 58 (1), pp.551-579. ⟨10.1137/19M1265740⟩, SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2019, 58 (1), pp.551-579. ⟨10.1137/19M1265740⟩
Accession number :
edsair.doi.dedup.....b189d927006c0e291cb92b103409103d
Full Text :
https://doi.org/10.1137/19M1265740⟩