Ecological Benchmarking to Explore Alternative Fishing Schemes to Protect Endangered Species by Substitution: The Danish Demersal Fishery in the North Sea

The cod stock in the North Sea is threatened by overexploitation. To recover this fishing stock, pressure needs to be reduced. This implies that catch compositions with small amounts of cod are preferred by public policy makers. The present analysis assesses the technological efficiency of fishing trips in terms of the substitution possibilities away from cod by considering landings of cod as an undesirable output. A conservative non-parametric frontier technology approach imposing minimal assumptions and based on directional distance functions is applied to explore alternative fishing activities for Danish gill netters operating in the North Sea with the goal of reducing cod catches. Since performance on different fishing trips may be influenced by the operating environment, a four-stage approach is applied to correct for exogenous factors (Fried et al., J Product Anal 12(3):249–267, 1999). The corrected directional distance function efficiency scores reveal the behavioural inefficiencies, i.e., prospects for decreasing the catch of cod while catch of other species are increased.

[1]  H. O. Fried,et al.  Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis , 2002 .

[2]  Rajiv D. Banker,et al.  The Use of Categorical Variables in Data Envelopment Analysis , 1986 .

[3]  Harold O. Fried,et al.  Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency , 1999 .

[4]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[5]  Other Report of the ICES Advisory Committee on Fishery Management, Advisory Committee on the Marine Environment and Advisory Committee on Ecosystems, 2007 , 2005 .

[6]  Rolf Färe,et al.  Hyperbolic efficiency and return to the dollar , 2002, Eur. J. Oper. Res..

[7]  Lawrence M. Seiford,et al.  Modeling undesirable factors in efficiency evaluation , 2002, Eur. J. Oper. Res..

[8]  F. Hernández-Sancho,et al.  Directional distance functions and environmental regulation , 2005 .

[9]  Rolf Färe,et al.  New directions : efficiency and productivity , 2004 .

[10]  P. Bogetoft,et al.  Gains from quota trade: theoretical models and an application to the Danish fishery , 2007 .

[11]  Jeong-Dong Lee,et al.  Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach. , 2002, Journal of environmental management.

[12]  Rolf Färe,et al.  Productivity and Undesirable Outputs: A Directional Distance Function Approach , 1995 .

[13]  John Ruggiero,et al.  Evaluating alternative DEA models used to control for non-discretionary inputs , 2006, Comput. Oper. Res..

[14]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[15]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[16]  Rolf Färe,et al.  Modeling undesirable factors in efficiency evaluation: Comment , 2004, Eur. J. Oper. Res..

[17]  B. W. Ang,et al.  Measuring environmental performance under different environmental DEA technologies , 2008 .

[18]  R. Färe,et al.  Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach , 1989 .

[19]  R. Färe,et al.  Adjusting technical efficiency to reflect discarding : The case of the U.S. Georges Bank multi-species otter trawl fishery , 2006 .

[20]  C.A.K. Lovell,et al.  Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach , 1989 .

[21]  Erik Lindebo Multi-national Industry Capacity in the North Sea Flatfish Fishery , 2005, Marine Resource Economics.

[22]  William L. Weber,et al.  Does Environmental Protection Lead to Slower Productivity Growth in the Chemical Industry? , 2004 .

[23]  Robin C. Sickles,et al.  The role of environmental factors in growth accounting , 2004 .