Determining policy-efficient management strategies in fisheries using data envelopment analysis (DEA) | Academic Article individual record
abstract

In this paper, the authors analyze a wide range of recreational management strategies for their impacts on red snapper yield, economic surplus and the fish stock. Simulating a wide range of policies, the authors find Data Envelopment Analysis (DEA) inspired policy efficiency frontiers that lead to finding those management strategies that offer the greatest level of economic surplus for any biological target, looking at both the east and west Gulf of Mexico fisheries. Red snapper has been declared overfished since 1988 and the 2005 SEDAR 7 stock assessment declared red snapper were overfished and undergoing overfishing. In November 2009, the update of the assessment declared that overfishing was no longer occurring but that the red snapper stocks needed to be rebuilt. In this analysis, it was found that red snapper are neither overfished or undergoing overfishing. The main difference between the present model and the SEDAR 7 model is that the latest model uses a higher mortality rate for juveniles and a density dependent model. The authors also suggest that the east and west should be managed as separate units. © 2011 Elsevier Ltd.

author list (cited authors)
Griffin, W. L., & Woodward, R. T.
publication date
2011
publisher
Elsevier BV Publisher
published in
keywords
  • EconomicsFisheriesPolicyData Envelopment Analysis