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European Review of Agricultural Economics Advance Access originally published online on August 21, 2006
European Review of Agricultural Economics 2006 33(3):361-389; doi:10.1093/eurrag/jbl017
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© Oxford University Press and Foundation for the European Review of Agricultural Economics 2006; all rights reserved. For permissions, please email journals.permissions@oxfordjournals.org

A short-run Johansen industry model for common-pool resources: planning a fishery's industrial capacity to curb overfishing

Kristiaan Kerstens

CNRS-LEM (UMR 8179), IESEG School of Management, Lille, France

Niels Vestergaard

Department of Environmental and Business Economics and Centre for Fisheries and Aquaculture Management and Economics, University of Southern Denmark, Esbjerg, Denmark

Dale Squires

US National Marine Fisheries Service, Southwest Fisheries Science Center, La Jolla, California, USA

Corresponding author: Niels Vestergaard, Department of Environmental and Business Economics, University of Southern Denmark, Niels Bohrs Vej 9–10, DK-6700 Esbjerg, Denmark. Telephone: +45 65504181, Fax: +45 65501091, E-mail: nv{at}sam.sdu.dk

Received December 2005; final version received May 2006

Current methods for assessing capacity and its utilisation in fisheries operate at the firm-level, but neglect industry capacity. Here, we introduce the Johansen-Färe measure of plant capacity of the firm into a multi-output, frontier-based version of the short-run Johansen industry model. The model determines firm capacity utilisation such that current industry outputs are maintained, while minimising the use of fixed inputs at industry level and assuming abundant variable inputs. Policy extensions relevant to combating overfishing include tightening quotas, seasonal closures, linking economic and plant capacity, decommissioning schemes and area closures, implementation issues and equity considerations. The application to the Danish fisheries reveals substantial overcapacity in the Danish fleet.

Keywords: plant capacity, Danish vessels, industry, planning, efficiency


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