Access the full text.
Sign up today, get DeepDyve free for 14 days.
K. Sharma, P. Leung (1998)
Technical Efficiency of the Longline Fishery in Hawaii: An Application of a Stochastic Production FrontierMarine Resource Economics, 13
Kirkley (2003)
Capacity and capacity utilization in fishing industries
A. Charnes, W. Cooper, E. Rhodes (1981)
Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow ThroughManagement Science, 27
M. Oliveira, M. Gaspar, J. Paixão, A. Camanho (2009)
Productivity change of the artisanal fishing fleet in Portugal: A Malmquist index analysisFisheries Research, 95
D. Tingley, S. Pascoe, S. Mardle (2003)
Estimating capacity utilisation in multi-purpose, multi-métier fisheriesFisheries Research, 63
A. Boussofiane, R. Dyson, E. Thanassoulis (1991)
Applied data envelopment analysisEuropean Journal of Operational Research, 52
O. Brownlee, T. Koopmans (1952)
ACTIVITY ANALYSIS OF PRODUCTION AND ALLOCATIONEconometrica, 20
I. Herrero, S. Pascoe (2003)
Value versus Volume in the Catch of the Spanish South‐Atlantic Trawl FisheryJournal of Agricultural Economics, 54
A. Charnes, W. Cooper, E. Rhodes (1978)
Measuring the efficiency of decision making unitsEuropean Journal of Operational Research, 2
D. Tingley, S. Pascoe, L. Coglan (2005)
Factors affecting technical efficiency in fisheries: stochastic production frontier versus data envelopment analysis approachesFisheries Research, 73
R. Banker (1993)
Maximum likelihood, consistency and data envelopment analysis: a statistical foundationManagement Science, 39
D. Tingley, S. Pascoe (2005)
Eliminating Excess Capacity: Implications for the Scottish Fishing IndustryMarine Resource Economics, 20
K. Sharma, P. Leung, Hailiang Chen, A. Peterson (1999)
Economic efficiency and optimum stocking densities in fish polyculture : an application of data envelopment analysis (DEA) to Chinese fish farmsAquaculture, 180
D. Tingley, S. Pascoe (2005)
Factors Affecting Capacity Utilisation in English Channel FisheriesJournal of Agricultural Economics, 56
L. Idda, F. Madau, P. Pulina (2009)
Capacity and economic efficiency in small-scale fisheries: Evidence from the Mediterranean SeaMarine Policy, 33
R. Banker, A. Charnes, W. Cooper (1984)
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment AnalysisManagement Science, 30
S. Pascoe, D. Tingley (2006)
Economic capacity estimation in fisheries: A non-parametric ray approachResource and Energy Economics, 28
M. Rufino, M. Gaspar, Alexandre Pereira, F. Maynou, C. Monteiro (2010)
Ecology of megabenthic bivalve communities from sandy beaches on the south coast of PortugalScientia Marina, 74
Pascoe (2002)
Contribution of unmeasurable factors to the efficiency of fishing vesselsAmerican Journal of Agricultural Economics, 84
J. Kirkley, D. Squires, Mohammad Alam, Haji Ishak (2003)
Excess Capacity and Asymmetric Information in Developing Country Fisheries: The Malaysian Purse Seine FisheryERN: Other Development Economics: Agriculture
N. Vestergaard, D. Squires, J. Kirkley (2003)
Measuring capacity and capacity utilization in fisheries: the case of the Danish Gill-net fleetFisheries Research, 60
D. Dupont, R. Grafton, J. Kirkley, D. Squires (2002)
Capacity utilization measures and excess capacity in multi-product privatized fisheriesResource and Energy Economics, 24
J. Kirkley, D. Squires, I. Strand (1995)
Assessing Technical Efficiency in Commercial Fisheries: The Mid-Atlantic Sea Scallop FisheryAmerican Journal of Agricultural Economics, 77
R. Dyson, R. Allen, A. Camanho, V. Podinovski, C. Sarrico, E. Shale (2001)
Pitfalls and protocols in DEAEur. J. Oper. Res., 132
Erik Lindebo, Ayoe Hoff, N. Vestergaard (2007)
Revenue-based capacity utilisation measures and decomposition: The case of Danish North Sea trawlersEur. J. Oper. Res., 180
W. Cooper, L. Seiford, K. Tone (1999)
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
M. Farrell (1957)
The Measurement of Productive Efficiency, 120
S. Pascoe, L. Coglan (2002)
The Contribution of Unmeasurable Inputs to Fisheries Production: An Analysis of Technical Efficiency of Fishing Vessels in the English ChannelTransportation Modes eJournal
R. Färe, S. Grosskopf, C. Lovell (1985)
The measurement of efficiency of production
Gaspar (2003)
A comparison of direct macrofaunal mortality using three types of Portuguese clam dredgeICES Journal of Marine Science, 60
C. Maravelias, E. Tsitsika (2008)
Economic efficiency analysis and fleet capacity assessment in Mediterranean fisheriesFisheries Research, 93
Banker (1989)
An introduction to data envelopment analysis with some of its models and their usesResearch in Government and Nonprofit Accounting, 5
M. Gaspar, F. Leitão, M. Santos, L. Chícharo, M. Dias, A. Chícharo, C. Monteiro (2003)
A comparison of direct macrofaunal mortality using three types of clam dredgesIces Journal of Marine Science, 60
Ayoe Hoff (2006)
Bootstrapping Malmquist Indices for Danish Seiners in the North Sea and Skagerrak1Journal of Applied Statistics, 33
Fare (1994)
Production Frontiers
S. Pascoe, I. Herrero (2004)
Estimation of a composite fish stock index using data envelopment analysisFisheries Research, 69
J. Kirkley, D. Squires, I. Strand (1998)
Characterizing Managerial Skill and Technical Efficiency in a FisheryJournal of Productivity Analysis, 9
Kirkley (2003)
Excess capacity and asymmetric information in developing country fisheries: the Malaysian purse seine fisheryAmerican Journal of Agricultural Economics, 85
Coglan (1998)
DEA versus econometric analysis of efficiency in fisheries
Oliveira, M. M., Camanho, A. S., and Gaspar, M. B. 2010. Technical and economic efficiency analysis of the Portuguese artisanal dredge fleet. ICES Journal of Marine Science, 67: 18111821.An efficiency analysis of the commercial dredge fleet operating along the south coast of Portugal between 2005 and 2007 sought to determine the efficiency of the vessels using data envelopment analysis models, considering fixed inputs (vessel power, length, tonnage, and an indicator of stock biomass) and a variable input (number of days at sea). The annual quota per vessel was also included in the model as a contextual factor. In the technical-efficiency (TE) analysis, outputs were defined by the catch weight for each of the three target species (bivalves). Using price data for each species in the wholesale market, revenue efficiency was also estimated to complement the TE analysis. The advantage of the approach lies in the ability to separate technical aspects from allocative aspects in the efficiency assessment, allowing two-dimensional graphic representation of vessel performance. The procedure allows the identification of benchmark vessels, which maximized the catch weight of the species landed, given their inputs, as well as the vessels that selected the appropriate target species to maximize the revenue of the fishing activity, given output prices. The approach also allowed the specification of targets for inefficient vessels that correspond to the catch by species, permitting revenue maximization from fishing.
ICES Journal of Marine Science – Oxford University Press
Published: Nov 30, 2010
Keywords: artisanal fishing clam fishery data envelopment analysis dredge fleet revenue efficiency technical efficiency
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.