Catch Uncertainty and Reward Schemes in a Commons Dilemma: An Experimental Study

We design and conduct a laboratory experiment with students and a field experiment with fishermen to test how catch uncertainty and reward schemes affect extraction in an open access fishery. We find that uncertainty in the relationship between effort and catch increases extraction effort and accele...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23948
Acceso en línea:
https://doi.org/10.1007/s10640-018-0241-0
https://repository.urosario.edu.co/handle/10336/23948
Palabra clave:
Conservation
Costs
Economics
Fisheries
Stochastic systems
Artisanal fisheries
Dynamic resources
Field experiment
Laboratory experiments
Marine protected area
Open access fisheries
Price responsive demand
Stochastic production
Extraction
Artisanal fishery
Catch statistics
Experimental study
Fishery production
Fishing community
Fishing effort
Laboratory method
Resource depletion
Stochasticity
Uncertainty analysis
Artisanal fishery
Dynamic resource
Framed field experiment
Stochastic production function
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License
Abierto (Texto Completo)
Description
Summary:We design and conduct a laboratory experiment with students and a field experiment with fishermen to test how catch uncertainty and reward schemes affect extraction in an open access fishery. We find that uncertainty in the relationship between effort and catch increases extraction effort and accelerates resource depletion. Importantly, participants increase their extraction after a disadvantageous shock, but do not react to advantageous shocks. One possible explanation of this phenomenon is a self-serving bias. Price-responsive demand, relative to a fixed price setting, decreases extraction effort and increases efficiency. Price-responsive demand has a greater effect on students than on fishermen living inside a marine protected area, but fishermen outside this restricted area are very responsive to conditional pricing. © 2018, Springer Science+Business Media B.V., part of Springer Nature.