Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-22T08:40:19.189Z Has data issue: false hasContentIssue false
  • English
  • Français

Bioeconomic model of spatial fishery management in developing countries

Published online by Cambridge University Press:  01 February 2012

Wisdom Akpalu  and
Godwin K. Vondolia
Wisdom Akpalu
Affiliation:
Farmingdale State College, State University of New York, USA. Email: [email protected]
Godwin K. Vondolia
Affiliation:
Department of Economics, University of Gothenburg, Box 640, SE 405 30 Gothenburg, Sweden. Tel: +46 31 786 4170. Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Fishers in developing countries do not have the resources to acquire advanced technologies to exploit offshore fish stocks. As a result, the United Nations Convention on the Law of the Sea requires countries to sign partnership agreements with distant water fishing nations to exploit offshore stocks. However, for migratory stocks, the offshore may serve as a natural marine reserve (i.e., a source) to the inshore (i.e., sink); hence these partnership agreements generate a spatial externality. In this paper, we present a bioeconomic model in which a social planner uses a landing tax (ad valorem tax) to internalize this spatial externality. We found that the tax must reflect the biological connectivity between the two patches, intrinsic growth rate, the price of fish and cost per unit effort. The results are empirically illustrated using data on Ghana.

Type
Research Article
Information
Environment and Development Economics , Volume 17 , Issue 2 , April 2012 , pp. 145 - 161
Copyright
Copyright © Cambridge University Press 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Akpalu, W. (2009), ‘Economics of biodiversity and sustainable fisheries management’, Ecological Economics 68: 2729–2733.CrossRefGoogle Scholar
Akpalu, W. and Parks, P. (2007), ‘Natural resource use conflict: gold mining in tropical rainforest in Ghana’, Environment and Development Economics 12: 55–72.CrossRefGoogle Scholar
Alder, J. and Sumaila, U.R. (2004), ‘Western Africa: a fish basket of Europe past and present’, Journal of Environment and Development 13(2): 156–178.CrossRefGoogle Scholar
Armstrong, C.W. (2007), ‘A note on the ecological–economic modelling of marine reserves in fisheries’, Ecological Economics 62(2): 242–250.CrossRefGoogle Scholar
Armstrong, C.W. and Skonhoft, A. (2006), ‘Marine reserves: a bio-economic model with asymmetric density dependent migration’, Ecological Economics 57(3): 466–476.CrossRefGoogle Scholar
Atta-Mills, J., Alder, J., and Sumaila, U.R. (2004), ‘The decline of a regional fishing nation: the case of Ghana and West Africa’, Natural Resources Forum 28: 13–21.Google Scholar
Bischi, G.I. and Lamantia, F. (2007), ‘Harvesting dynamics in protected and unprotected areas’, Journal of Economic Behavior and Organization 62: 348–370.CrossRefGoogle Scholar
Brainerd, T.R. (1991), ‘The Sardinella fishery off the coast of West Africa: the case of a common property resource’, paper presented at the 2nd Annual Conference of the International Association for the Study of Common Property, 26–29 September 1991, University of Manitoba, Winnipeg.Google Scholar
Brinson, A.A., Die, D.J., Bannerman, P.O., and Diatta, Y. (2009), ‘Socioeconomic performance of West African fleets that target Atlantic billfish’, Fisheries Research 99: 55–62.CrossRefGoogle Scholar
Caputo, R.M. (1998), ‘Economic characterization of reciprocal isoperimetric control problems’, Journal of Optimization Theory and Applications 98: 325–350.CrossRefGoogle Scholar
Caputo, R.M. (1999), ‘Economic characterization of reciprocal isoperimetric control problems revisited’, Journal of Optimization Theory and Applications 101: 723–730.Google Scholar
Clark, F.H. and Munro, G.R. (1987), ‘Coastal states, distant water fishing nations and extended jurisdiction: a principal–agent analysis’, Natural Resource Modeling 2: 19–26.Google Scholar
Clark, F.H. and Munro, G.R. (1991), ‘Coastal states and distant water fishing nations: conflicting views of the future’, Natural Resource Modeling 5: 345–370.CrossRefGoogle Scholar
Cochrane, K.L. and Tandstad, M. (eds) (2000), Report of the Workshop on the Small Pelagic Resources of Angola, Congo and Gabon, FAO Fisheries Report No. 618, Rome: FAO.Google Scholar
Doherty, N.A. and Posey, L.L. (1997), ‘Availability crises in insurance markets: optimal contracts with asymmetric information and capacity constraints’, Journal of Risk and Uncertainty 15: 55–80.CrossRefGoogle Scholar
Elmqvist, T., Folke, C., Nyström, M., Peterson, G., Bengtsson, J., Walker, B., and Norberg, J. (2003), ‘Response diversity, ecosystem change and resilience’, Frontiers in Ecology and the Environment 1(9): 488–494.CrossRefGoogle Scholar
FAO Fisheries and Aquaculture Department (2001), Report of the FAO Working Group on the Assessment of Small Pelagic Fish off Northwest Africa, Rome: United Nations Food and Agriculture Organization.Google Scholar
FAO Fisheries Department (2004), State of the World Fisheries and Aquaculture 2004, Rome: United Nations Food and Agriculture Organization.Google Scholar
FAO Fisheries Department (2009), The State of World Fisheries and Aquaculture 2008, Rome: United Nations Food and Agriculture Organisation.Google Scholar
Freon, P. and Misund, O.A. (1999), Dynamics of Pelagic Fishing Distribution and Behaviour: Effects on Fisheries and Stock Assessment, Oxford: Fishing News Books.Google Scholar
Hannesson, R. (2008), ‘The exclusive economic zones and economic development in Pacific island countries’, Marine Policy 32(6): 886–897.CrossRefGoogle Scholar
Hannesson, R. and Kennedy, J. (2005), ‘Landing fees and fish quotas’, Land Economics 81(4): 518–529.CrossRefGoogle Scholar
Hilborn, R. and Walters, C.J. (1992), Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty, New York: Chapman and Hall.Google Scholar
Hutchful, G. (2008), ‘Financing fisheries management: the Ghanaian situation’, In R. Metzner (ed.), Report of the Expert Consultation on Low-cost Fisheries Management Strategies and Cost Recovery, FAO Fisheries and Aquaculture Report No. 853, Rome: FAO, pp. 207–235.Google Scholar
Iheduru, O.C. (1995), ‘The political economy of Euro-African Fishing agreements’, Journal of Developing Areas 30(1): 63–90.Google Scholar
Jensen, F. and Vestergaard, N. (2003), ‘Prices versus quantities in fisheries models’, Land Economics 79: 415–425.CrossRefGoogle Scholar
King, M. (2007), Fisheries Biology, Assessment and Management, Oxford: Blackwell Publishing.CrossRefGoogle Scholar
Koranteng, K.A. (1998), ‘The impacts of environmental forcing on the dynamics of demersal fishery resources of Ghana’, Ph.D. thesis, University of Warwick, Coventry, UK.Google Scholar
Kvamsdal, S.F. (2011), ‘Exogenous shocks and marine reserves’, Natural Resource Modeling 24(3): 316–334.CrossRefGoogle Scholar
Mills, E.S. (1972), ‘Markets and efficient resource allocation in urban areas’, Swedish Journal of Economics 74: 100–113.CrossRefGoogle Scholar
Mullon, C., Fréon, P., and Curry, P. (2005), ‘The dynamics of collapse in world fisheries’, Fish and Fisheries 6(2): 111–120.CrossRefGoogle Scholar
Munro, G.R. (1994), ‘Coastal states and distant water fleets under extended jurisdiction: the search for optimal incentive schemes’, in Basar, T. and Haurie, A. (eds), Advances in Dynamic Games and Applications, Boston: Annals of the International Society of Dynamic Games, pp. 301–317.CrossRefGoogle Scholar
Pauly, D., Christensen, V., Dalsgaard, J., Froese, R., and Torres, E.C. Jr. (1998), ‘Fishing down marine food webs’, Science 279: 860–863.Google Scholar
Pauly, D., Christensen, V., Guenette, S., Pitcher, T.J., Sumaila, U.R., Walters, C.J., Watson, R., and Zeller, D. (2002), ‘Towards sustainability of world fisheries’, Nature 418: 689–695.Google Scholar
Perry, R.I. and Sumaila, U.R. (2007), ‘Marine ecosystem variability and human community responses: the case of Ghana, West Africa’, Marine Policy 31: 125–134.CrossRefGoogle Scholar
Sanchirico, J.N. and Wilen, J.E. (1999), ‘Bioeconomics of spatial exploitation in a patchy environment’, Journal of Environmental Economics and Management 37: 129–150.Google Scholar
Sterner, T. (2007), ‘Unobserved diversity, depletion and irreversibility – the importance of subpopulations for management of cod stocks’, Ecological Economics 61: 566–574.Google Scholar
Sydsaeter, K., Strøm, A., and Berck, P. (2005), Economists' Mathematical Manual, Berlin: Springer-Verlag.CrossRefGoogle Scholar
Tsikliras, A.C., Antonopoulou, E., and Stergiou, K.I. (2007), ‘A phenotypic trade-off between previous growth and present fecundity in round sardinella sardinella aurita’, Population Ecology 49: 221–227.CrossRefGoogle Scholar
Tuck, G.N. and Possingham, H.P. (1994), ‘Optimal harvesting strategies for metapopulation’, Bulletin of Mathematical Biology 56(1): 107–127.CrossRefGoogle Scholar
Weitzman, M.L. (2002), ‘Landing fees vs. harvest quotas with uncertain fish stock’, Journal of Environmental Economics and Management 43(2): 325–338.CrossRefGoogle Scholar