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Symmetric Equilibria in Spatially Distributed Extraction Games with Nonlinear Growth

Filippo De Feo, Giorgio Fabbri, Silvia Faggian and Giuseppe Freni
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Filippo De Feo: Institut für Mathematik, Technische Universität Berlin

No 2025: 22, Working Papers from Department of Economics, University of Venice "Ca' Foscari"

Abstract: We study optimal and strategic extraction of a renewable resource that is distributed over a network, migrates mass-conservingly across nodes, and evolves under nonlinear (concave) growth. A subset of nodes hosts extractors while the remaining nodes serve as reserves. We analyze a centralized planner and a noncooperative game with stationary Markov strategies. The migration operator transports shadow values along the network so that Perron–Frobenius geometry governs long-run spatial allocations, while nonlinear growth couples aggregate biomass with its spatial distribution and bounds global dynamics. For three canonical growth families, logistic, power, and log-type saturating laws, under related unilities, we derive closed-form value functions and feedback rules for the planner and construct a symmetric Markov equilibrium on strongly connected networks. To our knowledge, this is the first paper to obtain explicit policies for spatial resource extraction with nonlinear growth and, a fortiori, closed-form Markov equilibria, on general networks.

Keywords: Harvesting; spatial models; differential games; nature reserves (search for similar items in EconPapers)
JEL-codes: C73 Q20 Q28 R11 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2025
New Economics Papers: this item is included in nep-geo, nep-gro, nep-gth, nep-net and nep-ure
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