Optimal Extraction Under Endogenous Degradation Risk

We study the optimal extraction of a non-renewable resource under an endogenous risk of irreversible degradation. The extractor faces a stochastic switching time at which extraction costs permanently increase, with the hazard rate of this transition depending on the current extraction intensity. As a result, faster extraction not only accelerates depletion but also raises the probability of entering a high-cost regime. We formulate the problem as an optimal control model with a control-dependent hazard process and derive a deterministic equivalent representation. Although extraction before and after degradation is individually trivial, their coupling through the endogenous hazard generates a nonlinear control problem. We provide an explicit characterization of the optimal extraction policy and show that degradation risk fundamentally alters the optimal depletion path. In contrast to the deterministic benchmark, optimal extraction becomes smoother over time, as the decision maker trades off immediate profits against the expected increase in future costs. The analysis highlights how endogenous operational risk can discipline extraction incentives and offers new insights into the sustainable management of exhaustible resources under technological fragility.

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Publication Details

Journal
Mathematics
Published
2026-02-21
DOI
https://doi.org/10.3390/math14040731
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
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article

Optimal Extraction Under Endogenous Degradation Risk

Maddalena Muttoni, Luca Grosset, Elena Sartori
Mathematics
Extraction and Separation Processes
article

Optimal Extraction Under Endogenous Degradation Risk

Maddalena Muttoni, Luca Grosset, Elena Sartori
article en

Abstract

We study the optimal extraction of a non-renewable resource under an endogenous risk of irreversible degradation. The extractor faces a stochastic switching time at which extraction costs permanently increase, with the hazard rate of this transition depending on the current extraction intensity. As a result, faster extraction not only accelerates depletion but also raises the probability of entering a high-cost regime. We formulate the problem as an optimal control model with a control-dependent hazard process and derive a deterministic equivalent representation. Although extraction before and after degradation is individually trivial, their coupling through the endogenous hazard generates a nonlinear control problem. We provide an explicit characterization of the optimal extraction policy and show that degradation risk fundamentally alters the optimal depletion path. In contrast to the deterministic benchmark, optimal extraction becomes smoother over time, as the decision maker trades off immediate profits against the expected increase in future costs. The analysis highlights how endogenous operational risk can discipline extraction incentives and offers new insights into the sustainable management of exhaustible resources under technological fragility.

MathematicsVol. 14(4)
University of Padua (IT)
Responsible consumption and production
Openalex Percentile: Top 49%
Extraction and Separation Processes
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Optimal Extraction Under Endogenous Degradation Risk — Maddalena Muttoni, Luca Grosset, et al. · Mathematics (2026) | TGRS Research Map | TGRS