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Resource allocation in the North Sea demersal fisheries: A goal programming approach

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Abstract

The management of a fishery is a complex task generally involving multiple, often conflicting, objectives. These objectives typically include economic, biological and social goals such as improving the income of fishers, reducing the catch of depleted species and maintaining employment.

Multi‐criteria decision making (MCDM) techniques appear well‐suited to such a management problem, allowing compromises between conflicting objectives to be analysed in a structured framework. In comparison to other fields, such as water resource planning, forestry and agriculture, there have been few applications of MCDM to fisheries.

In this paper, a goal programming model of the North Sea demersal fishery is presented. The model is used to demonstrate the potential applicability of this type of approach to the analysis and development of fisheries management plans with multiple objectives. Alternative scenarios are considered for the problem, and trade‐offs between given objectives are also highlighted and discussed.

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References

  1. Advisory Committee on Fishery Management (ACFM), Report of the ICES Advisory Committee on Fisheries Management 1996, Report No. 221, Copenhagen: International Council for the Exploitation of the Sea (ICES) (1997).

    Google Scholar 

  2. A. Amble, Multi-objective optimization of a local fishing fleet-a goal programming approach, in: Applied Operations Research in Fishing, ed. K.B. Haley (Plenum Press, New York, 1981) pp. 309-319. (Proceedings of the NATO Symposium on Applied OR in Fishing, Trondheim, Norway, 1979.)

    Google Scholar 

  3. M.B. Bain, Structured decision making in fisheries management: trout fishing regulations on the Au Sable River, Michigan, North American Journal of Fisheries Management 7(4) (1987)475-481.

    Google Scholar 

  4. T. Bjørndal, The optimal management of North Sea herring, Journal of Environmental Economics and Management 15(1) (1988) 9-29.

    Google Scholar 

  5. T. Bjørndal and J.M. Conrad, The dynamics of an open access fishery, Canadian Journal of Economics 20(1) (1987) 74-85.

    Google Scholar 

  6. T. Bjørndal, A bioeconomic analysis of North Sea herring, in: Operations Research and Management in Fishing, ed. A.G. Rodrigues (Kluwer Academic, 1990) pp. 175-189.

  7. T. Bjørndal and D.V. Gordon, Price response and optimal vessel size in a multi-output fishery, in: Rights Based Fishing, eds. P.A. Neher, R. Arnason and N. Mallett (Kluwer Academic, 1989) pp. 389-411.

  8. T. Bjørndal and D.V. Gordon, The opportunity cost of capital and optimal vessel size in the Norwegian fishing fleet, Land Economics 69(1) (1993) 98-107.

    Google Scholar 

  9. T. Bjørndal and A. Toft, The optimal management of north sea herring revisited, SNFWorking Paper 89/92, Norwegian School of Economics and Business Administration, Bergen, Norway (1992).

    Google Scholar 

  10. T.M. Cavalier and J.P. Ignizio, Linear Programming (Prentice-Hall, USA, 1994).

    Google Scholar 

  11. A.T. Charles, Bio-socio-economic fishery models: labour dynamics and multi-objective management, Canadian Journal of Fisheries and Aquatic Science 46(8) (1989) 1313-1322.

    Google Scholar 

  12. A. Charnes and W.W. Cooper, Management Models and Industrial Applications of Linear Programming (Wiley, 1961).

  13. A. Charnes, W.W. Cooper and R. Ferguson, Optimal estimation of executive compensation by linear programming, Management Science 1 (1955) 138-151.

    Google Scholar 

  14. C.W. Clark, Mathematical Bioeconomics: The Optimal Management of Renewable Resources, 2nd edn (Wiley, USA, 1990).

    Google Scholar 

  15. J.L. Cohon and D.H. Marks, A review and evaluation of multiobjective programming techniques, Water Resources Research 11(2) (1975) 208-220.

    Google Scholar 

  16. Concerted action, coordination of research in fishery economics: economic performance of selected fleet segments in the EU, 1996/2 Report, AIR CT94 1489, Working Document Nr. 10 (January 1997).

  17. J.A. Crutchfield, Economic and political objectives in fishery management, Transactions of the American Fisheries Society 102(2) (1973) 481-491.

    Google Scholar 

  18. W. Dol, Flatfish 2.0a: a spatial bioeconomic simulation model for plaice and sole, in: Proceedings of the 7th Annual Conference of the European Association of Fisheries Economics (1995), ed. CEMARE, University of Portsmouth, UK (1996) pp. 33-44.

  19. R.G. Drynan and F. Sandiford, Incorporating economic objectives in goal programs for fishery management, Marine Resource Economics 2(2) (1985) 175-195.

    Google Scholar 

  20. R.R. Everitt, N.C. Sonntag, M.L. Puterman and P. Whalen, A mathematical programming model for the management of a renewable resource system: the Kemano II development project, Journal of the Fisheries Research Board of Canada 35(2) (1978) 235-246.

    Google Scholar 

  21. H. Frost, P. Rodgers, G. Valatin, M.O. Allard, F. Lantz and N. Vestergaard, A Bioeconomic Model of the North Sea Multispecies Multiple Gears Fishery, Vols. 1-3 (South Jutland University Press, Esbjerg, 1993).

    Google Scholar 

  22. A. Hatcher, Producers organisations and devolved fisheries management in the United Kingdom: collective and individual quota systems, Marine Policy 21(6) (1997) 519-533.

    Google Scholar 

  23. M. Holden, The Common Fisheries Policy: Origin, Evolution and Future (Fishing News Books, Great Britain, 1994).

    Google Scholar 

  24. J.P. Ignizio, Goal Programming and Extensions (Lexington Books, 1976).

  25. International Council for the Exploration of the Sea (ICES) Report of the Multispecies Assessment Working Group, ICES CM 1996/Assess: 3 (1996).

  26. International Council for the Exploration of the Sea (ICES) Report of the Working Group on the Assessment of Demersal Stocks in the North Sea and Skagerrak, ICES CM 1996/Assess: 8 (1996).

  27. Y. Ijiri, Management Goals and Accounting for Control (North-Holland, 1965).

  28. S. Jaffry, S. Pascoe and C. Robinson, Long run price flexibilities for high value UK fish species: a cointegration systems approach, Applied Economics 31 (1998) 473-481.

    Google Scholar 

  29. C. Kim, Optimal management of multi-species North Sea fishery resources, Weltwirtschaftliches Archiv-Review of World Economics 119 (1983) 138-151.

    Google Scholar 

  30. S.M. Lee, Goal Programming for Decision Analysis (Auerbach, Philadelphia, 1972).

  31. S. Mardle and S. Pascoe, A review of applications of multiple-criteria decision-making techniques to fisheries, Marine Resource Economics 14(2) (1999) 41-63.

    Google Scholar 

  32. G.R. Munro, The optimal management of transboundary renewable resources, Canadian Journal of Economics 12(3) (1979) 355-376.

    Google Scholar 

  33. G.R. Munro, The management of transboundary fishery resources: a theoretical overview, in: Essays on the Economics of Migratory Fish Stock, eds. R. Arnason and T. Bjørndal (Springer, 1991) pp. 7-20.

  34. P. Muthukude, J.L. Novak and C. Jolly, A goal programming evaluation of fisheries development plans for Sri Lanka's coastal fishing fleet, 1988-1991, Fisheries Research 12 (1991) 325-339.

    Google Scholar 

  35. S. Pascoe, Bycatch management and the economics of discarding, FAO Fisheries Technical Paper 370, FAO, Rome (1997).

    Google Scholar 

  36. S. Pascoe, M. Tamiz and D.F. Jones, Multi-objective modelling of the UK fisheries of the English Channel, CEMARE Research Paper P113, CEMARE, University of Portsmouth, UK (1997).

  37. C. Romero, Handbook of Critical Issues in Goal Programming (Pergamon Press, 1991).

  38. F. Sandiford, An analysis of multi-objective decision making for the Scottish inshore fishery, Journal of Agricultural Economics 37(2) (1986) 207-219.

    Google Scholar 

  39. T.J. Stewart, Experience with prototype multicriteria decision support systems for pelagic fish quota determination, Naval Research Logistics 35 (1988) 719-731.

    Google Scholar 

  40. G. Sylvia, Concepts in fisheries management: interdisciplinary gestalts and socioeconomic policy models, Society and Natural Resources 5 (1992) 115-133.

    Google Scholar 

  41. D. Symes, UK demersal fisheries and the North Sea: problems in renewable resource management, Geography 76 (1991) 131-142.

    Google Scholar 

  42. M. Tamiz and D.F. Jones, GPSYS User's Guide, Internal Report, School of Computer Science and Mathematical Studies, University of Portsmouth, UK (1995).

  43. M. Tamiz, D.F. Jones and E. El-Darzi, A review of goal programming and its applications, Annals of Operations Research 58 (1995) 39-53.

    Google Scholar 

  44. United Nations, The Law of the Sea: The United Nations Convention on the Law of the Sea, United Nations Publications, New York (1983).

    Google Scholar 

  45. K.T. Weerasooriya, W. Hills and P. Sen, The selection of fishing vessel fleet operations using a mulitple criteria optimization method, Maritime Policy Management 19(1) (1992) 41-54.

    Google Scholar 

  46. A.S.Weithman and R.J. Ebert, Goal programming to assist in decision making, Fisheries 6(1) (1981) 5-8.

    Google Scholar 

  47. M. Wise, The Common Fisheries Policy of the European Community (Methuen and Co., Cambridge, UK, 1984).

    Google Scholar 

  48. Worldfish Report, Parliament's CFP review calls for freer markets in fish quota, Worldfish Report 51 (October 9): BB/1 (1997).

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Authors and Affiliations

  1. CEMARE, University of Portsmouth, Locksway Road, Portsmouth, Hants, PO4 8JF, UK E-mail:

    Simon Mardle & Sean Pascoe

  2. School of Computing and Mathematical Studies, University of Portsmouth, Mercantile House, Hampshire Terrace, Portsmouth, Hants, PO1 2EG, UK E-mail:

    Mehrdad Tamiz & Dylan Jones

Authors
  1. Simon Mardle
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  2. Sean Pascoe
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  3. Mehrdad Tamiz
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  4. Dylan Jones
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Mardle, S., Pascoe, S., Tamiz, M. et al. Resource allocation in the North Sea demersal fisheries: A goal programming approach. Annals of Operations Research 94, 321–342 (2000). https://doi.org/10.1023/A:1018977318860

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