Optimal harvesting of a regime-switching stochastic growing renewable resource: A Utility Theory Approach - Université de Montpellier Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Optimal harvesting of a regime-switching stochastic growing renewable resource: A Utility Theory Approach

Résumé

In this paper, following Smith (1978) and Ludwig (1979), we examine the optimal rate of extraction from a stochastically regime-switching growing resource stock (typically to maximize the expected flow of utility from net revenue). Assuming a continuous-time stochastic regime switching for the biomass Gilpin-Ayala growth function, and CRRA utility function for firms preferences, we find the optimal extraction rate that maximizes the expected integral of the utility function of net revenue of firms.
Fichier non déposé

Dates et versions

hal-02938057 , version 1 (14-09-2020)

Identifiants

  • HAL Id : hal-02938057 , version 1

Citer

Jules Sadefo-Kamdem. Optimal harvesting of a regime-switching stochastic growing renewable resource: A Utility Theory Approach. 2019 World Conference on Natural Resource Modelling, HEC Montréal, May 2019, Montréal, Canada. ⟨hal-02938057⟩
31 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More