Rachid El Amrani
Optimal Management of Rare Earth Elements: A Stochastic Control Framework with Adaptive Investment Strategies for Sustainability.
Rel. Barbara Trivellato. Politecnico di Torino, Master of science program in Mathematical Engineering, 2025
Abstract
In this thesis, we will be investigating the problem of maximizing intergenerational equity in the consumption of a naturally exhaustible resource, taking into account both resource stock dynamics and environmental quality. Our model will be governed by two coupled stochastic differential equations (SDEs): one describing the evolution of the resource stock and the other the dynamics of environmental quality. Our objective will be based on optimizing consumption while balancing the trade-offs between resource depletion and environmental degradation, with an exclusive focus on fairness across generations. Specifically, our objective function will incorporate penalized consumption and social costs to reflect the need to curtail excessive consumption and mitigate environmental impacts.
Through a dynamic stochastic optimization approach, this thesis explores the optimal path for resource consumption, aiming to achieve sustainability and intergenerational equity
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