Optimal Exploitation of Renewable Resources: Lessons in Sustainability from an Optimal Growth Model of Natural Resource Consumption

  • Sergey Aseev
  • Talha Manzoor
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 687)


We study an optimal growth model for a single resource based economy. The resource is governed by the standard model of logistic growth, and is related to the output of the economy through a Cobb-Douglas type production function with exogenously driven knowledge stock. The model is formulated as an infinite-horizon optimal control problem with unbounded set of control constraints and non-concave Hamiltonian. We transform the original problem to an equivalent one with simplified dynamics and prove the existence of an optimal admissible control. Then we characterize the optimal paths for all possible parameter values and initial states by applying the appropriate version of the Pontryagin maximum principle. Our main finding is that only two qualitatively different types of behavior of sustainable optimal paths are possible depending on whether the resource growth rate is higher than the social discount rate or not. An analysis of these behaviors yields general criterions for sustainable and strongly sustainable optimal growth (w.r.t. the corresponding notions of sustainability defined herein).



This work was initiated when Talha Manzoor participated in the 2013 Young Scientists Summer Program (YSSP) at IIASA, Laxenburg, Austria. T. Manzoor is grateful to Pakistan National Member Organization for financial support during the YSSP. Sergey Aseev was supported by the Russian Science Foundation under grant 15-11-10018 in developing of methodology of application of the maximum principle to the problem.


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Authors and Affiliations

  1. 1.Steklov Mathematical Institute of Russian Academy of SciencesMoscowRussia
  2. 2.International Institute for Applied Systems AnalysisLaxenburgAustria
  3. 3.Krasovskii Institute of Mathematics and Mechanics, Ural Branch of Russian Academy of SciencesYekaterinburgRussia
  4. 4.Department of Electrical Engineering, Center for Water Informatics & TechnologyLahore University of Management SciencesLahorePakistan

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