Information Provision and Spatial Externalities in Common-Pool Resource Management

L'information et externalités spatiales dans la gestion des ressources communes

Maria Arvaniti and Can Askan Mavi ()
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Maria Arvaniti: Department of Economics, University of Bologna, Bologna, Italy.
Can Askan Mavi: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: This paper develops a dynamic model of common-pool resource management under uncertainty about spatial migration patterns. A renewable resource is distributed across two patches, and non-cooperative harvesters are uncertain about self-retention and dispersal rates. They update beliefs from observed stocks and their escapement choices, so information acquisition is endogenous. This creates two forces: a learning-probability effect, through which escapement changes the probability that the migration regime is revealed, and a flexibility effect, through which current escapement changes the value of entering the post-learning stage. The sign of the learning-probability effect depends on the signal-contingent learning payoff, while the flexibility effect can also have either sign. Their interaction determines whether learning increases or decreases conservation and whether strategies remain complements or become substitutes. In a cooperative benchmark, internalizing both spatial and informational externalities can even raise total extraction relative to the non-cooperative equilibrium by avoiding redundant information provision. The analysis highlights the institutional value of coordinating both spatial management and information production for mobile resources.

Keywords: Uncertainty; Bayesian learning; Dynamic games; Common pool resources (search for similar items in EconPapers)
Date: 2026-10-28
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