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Shape Up or Ship Out: Can We Enhance Productivity in Coastal Aquaculture to Compete with Other Uses?

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  • Peggy Schrobback
  • Sean Pascoe
  • Louisa Coglan

Abstract

Coastal resources are coming under increasing pressure from competition between recreational, commercial and conservation uses. This is particularly so in coastal areas adjacent to major population centres. Given high recreational and conservation values in such areas, economic activities need to be highly efficient in order to persist. Management of these industries must therefore also encourage efficient production and full utilisation of the areas available. In order to achieve this, managers must first understand the level and drivers of productivity, and how these can be influenced. In this study, by way of illustration, the focus was on the Sydney rock oyster industry within Queensland's Moreton Bay, a multiple use marine park with high recreational and conservation value adjacent to Australia’s third largest city. Productivity of the oyster industry in Moreton Bay is currently low compared to historic levels, and management has an objective of reversing this trend. It is unclear whether this difference is due to oyster farmers’ business choices and personal characteristics or whether varying environmental conditions in the Moreton Bay limit the capacity of the oyster industry. These require different management responses in order to enhance productivity. The study examined different productivity measures of the oyster industry using data envelopment analysis (DEA) to determine where productivity gains can be made and by how much. The findings suggest that the industry is operating at a high level of capacity utilisation, but a low level of efficiency. The results also suggest that both demographic and environmental conditions affect technical efficiency in the Bay, with water characteristics improvements and appropriate training potentially providing the greatest benefits to the industry. Methods used in this study are transferable to other industries and provide a means by which coastal aquaculture may be managed to ensure it remains competitive with other uses of coastal resources.

Suggested Citation

  • Peggy Schrobback & Sean Pascoe & Louisa Coglan, 2014. "Shape Up or Ship Out: Can We Enhance Productivity in Coastal Aquaculture to Compete with Other Uses?," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-25, December.
    • Handle: RePEc:plo:pone00:0115912
    DOI: 10.1371/journal.pone.0115912
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    as
    1. Ahmed, Nesar & Zander, Kerstin K. & Garnett, Stephen T., 2011. "Socioeconomic aspects of rice-fish farming in Bangladesh: opportunities, challenges and production efficiency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-21.
    2. Robert G. Chambers & Atakelty Hailu & John Quiggin, 2011. "Event‐specific data envelopment models and efficiency analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), pages 90-106, January.
    3. Byron, Carrie & Bengtson, David & Costa-Pierce, Barry & Calanni, John, 2011. "Integrating science into management: Ecological carrying capacity of bivalve shellfish aquaculture," Marine Policy, Elsevier, vol. 35(3), pages 363-370, May.
    4. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    5. Mugera, Amin W., 2013. "Measuring Technical Efficiency of Dairy Farms with Imprecise Data: A Fuzzy Data Envelopment Analysis Approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-19.
    6. Pascoe, Sean & Doshi, Amar & Dell, Quentin & Tonks, Mark & Kenyon, Rob, 2014. "Economic value of recreational fishing in Moreton Bay and the potential impact of the marine park rezoning," Tourism Management, Elsevier, vol. 41(C), pages 53-63.
    7. Nesar Ahmed & Kerstin K. Zander & Stephen T. Garnett, 2011. "Socioeconomic aspects of rice‐fish farming in Bangladesh: opportunities, challenges and production efficiency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 199-219, April.
    8. Pascoe, Sean & Coglan, Louisa, 2000. "Implications of differences in technical efficiency of fishing boats for capacity measurement and reduction," Marine Policy, Elsevier, vol. 24(4), pages 301-307, July.
    9. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    10. Tessa Mazor & Hugh P Possingham & Dori Edelist & Eran Brokovich & Salit Kark, 2014. "The Crowded Sea: Incorporating Multiple Marine Activities in Conservation Plans Can Significantly Alter Spatial Priorities," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-16, August.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Singh, Kehar & Dey, Madan Mohan & Rabbani, Abed G. & Sudhakaran, Pratheesh O. & Thapa, Ganesh, 2009. "Technical Efficiency of Freshwater Aquaculture and its Determinants in Tripura, India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2), July.
    13. Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-666, August.
    14. Holland, D. S. & Lee, S. T., 2002. "Impacts of random noise and specification on estimates of capacity derived from data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 137(1), pages 10-21, February.
    15. Grosskopf, S. & Margaritis, D. & Valdmanis, V., 1995. "Estimating output substitutability of hospital services: A distance function approach," European Journal of Operational Research, Elsevier, vol. 80(3), pages 575-587, February.
    16. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    17. Diana Tingley & Sean Pascoe, 2005. "Factors Affecting Capacity Utilisation in English Channel Fisheries," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(2), pages 287-305, July.
    18. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    19. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    20. Reid, Christopher & Squires, Dale & Jeon, Yongil & Rodwell, Len & Clarke, Raymond, 2003. "An analysis of fishing capacity in the western and central Pacific Ocean tuna fishery and management implications," Marine Policy, Elsevier, vol. 27(6), pages 449-469, November.
    21. Sean Pascoe & André E. Punt & Catherine M. Dichmont, 2010. "Targeting ability and output controls in Australia's multi-species Northern Prawn Fishery," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(3), pages 313-334, September.
    22. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    23. Dupont, Diane P. & Grafton, R. Quentin & Kirkley, James & Squires, Dale, 2002. "Capacity utilization measures and excess capacity in multi-product privatized fisheries," Resource and Energy Economics, Elsevier, vol. 24(3), pages 193-210, June.
    24. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    25. Fare, Rolf & Grosskopf, Shawna & Kirkley, Jim, 2000. "Multi-output Capacity Measures and Their Relevance for Productivity," Bulletin of Economic Research, Wiley Blackwell, vol. 52(2), pages 101-112, April.
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