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Factors Affecting Capacity Utilisation in English Channel Fisheries

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  • Diana Tingley
  • Sean Pascoe

Abstract

The harvesting capacity of the European fishing fleet far exceeds the reproductive potential of the resource base. As a result, most European Union fisheries are both biologically and economically over‐exploited. A series of fleet‐reduction policies have been introduced in order to bring the harvesting capacity in line with target output levels. However, the existence of unutilised capacity may reduce the effectiveness of these schemes as the remaining vessels may increase their individual capacity utilisation (CU), thus offsetting the effects of fleet reduction. In this paper, the effects of stock abundance, output prices, fuel prices and fleet size on the rate of capacity utilisation are examined for a range of UK fleet segments operating in the English Channel. Estimates of CU are derived using data envelopment analysis. Results indicate that the average beam trawl vessel, using existing physical inputs, could potentially increase its revenue by a further 50%, assuming current fish stock levels and unrestricted access to resources. The average gill net vessel could similarly increase its output by 43%, scallop dredge by 28% and otter trawl by 14%. The results suggest that changes in stock abundance are the main factor affecting CU, with no significant trends being observed for the economic variables.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jageco:v:56:y:2005:i:2:p:287-305
    DOI: 10.1111/j.1477-9552.2005.00005.x
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    Cited by:

    1. Pascoe, Sean & Hutton, Trevor & van Putten, Ingrid & Dennis, Darren & Skewes, Tim & Plagányi, Éva & Deng, Roy, 2013. "DEA-based predictors for estimating fleet size changes when modelling the introduction of rights-based management," European Journal of Operational Research, Elsevier, vol. 230(3), pages 681-687.
    2. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2019. "Plant Capacity and Attainability: Exploration and Remedies," Operations Research, INFORMS, vol. 67(4), pages 1135-1149, July.
    3. 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.
    4. Kristiaan Kerstens & Jafar Sadeghi, 2024. "Plant capacity notions: review, new definitions, and existence results at firm and industry levels," International Journal of Production Research, Taylor & Francis Journals, vol. 62(3), pages 1017-1040, February.
    5. Roxani Karagiannis, 2015. "A system-of-equations two-stage DEA approach for explaining capacity utilization and technical efficiency," Annals of Operations Research, Springer, vol. 227(1), pages 25-43, April.
    6. Kerstens, Kristiaan & Shen, Zhiyang, 2021. "Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    7. 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.
    8. Mohammed Al-Siyabi & Gholam R. Amin & Shekar Bose & Hussein Al-Masroori, 2019. "Peer-judgment risk minimization using DEA cross-evaluation with an application in fishery," Annals of Operations Research, Springer, vol. 274(1), pages 39-55, March.
    9. Michiyuki Yagi & Shunsuke Managi, 2011. "Catch limits, capacity utilization and cost reduction in Japanese fishery management," Agricultural Economics, International Association of Agricultural Economists, vol. 42(5), pages 577-592, September.
    10. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.

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