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Modeling entry, stay, and exit decisions of the longline fishers in Hawaii

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  • Pradhan, Naresh C.
  • Leung, PingSun

Abstract

A behavioral study on the entry, stay and exit decisions of the fishers in Hawaii's longline fishery was undertaken in a random utility framework by applying the multinomial logit (unordered) model. Pooled annual cross-sectional and time-series (1991-1998) data were used. The empirical results confirm that the entry, stay, and exit decisions are significantly associated with the earning potential of fishers, crowding externality, resource abundance and some managerial factors. The probability of a vessel to stay (or exit) in the fishery increased (or decreased) for an increase in the earning potential of a fisher. A larger fleet size shows vessels were more inclined to exit from the fishery than stay in the fishery. The probability of vessel entry (or exit) was also positively (or negatively) associated with an increase in stock levels of major target species. Further, a vessel was more likely to stay in the fishery when the vessel owner was a Hawaii resident or a vessel captain. Simulation of the probability for a vessel to enter, stay, or exit for a change in fleet size or stock level was also carried out.

Suggested Citation

  • Pradhan, Naresh C. & Leung, PingSun, 2004. "Modeling entry, stay, and exit decisions of the longline fishers in Hawaii," Marine Policy, Elsevier, vol. 28(4), pages 311-324, July.
    • Handle: RePEc:eee:marpol:v:28:y:2004:i:4:p:311-324
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    Citations

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    Cited by:

    1. Coglan, Louisa & Pascoe, Sean, 2015. "Corporate-cooperative management of fisheries: A potential alternative governance structure for low value small fisheries?," Marine Policy, Elsevier, vol. 57(C), pages 27-35.
    2. Yamazaki, Satoshi & Resosudarmo, Budy P. & Girsang, Wardis & Hoshino, Eriko, 2018. "Productivity, Social Capital and Perceived Environmental Threats in Small-Island Fisheries: Insights from Indonesia," Ecological Economics, Elsevier, vol. 152(C), pages 62-75.
    3. Jonathan R. Sweeney & Richard E. Howitt & Hing Ling Chan & Minling Pan & PingSun Leung, 2017. "How do fishery policies affect Hawaii's longline fishing industry? Calibrating a positive mathematical programming model," Papers 1707.03960, arXiv.org.
    4. Evans, K. & Young, J.W. & Nicol, S. & Kolody, D. & Allain, V. & Bell, J. & Brown, J.N. & Ganachaud, A. & Hobday, A.J. & Hunt, B. & Innes, J. & Gupta, A. Sen & van Sebille, E. & Kloser, R. & Patterson,, 2015. "Optimising fisheries management in relation to tuna catches in the western central Pacific Ocean: A review of research priorities and opportunities," Marine Policy, Elsevier, vol. 59(C), pages 94-104.
    5. Barr, Rhona F. & Mourato, Susana, 2014. "Investigating fishers' preferences for the design of marine Payments for Environmental Services schemes," Ecological Economics, Elsevier, vol. 108(C), pages 91-103.
    6. Chang, Hung-Hao & Boisvert, Richard N. & Hung, Ling-Yi, 2010. "Land subsidence, production efficiency, and the decision of aquacultural firms in Taiwan to discontinue production," Ecological Economics, Elsevier, vol. 69(12), pages 2448-2456, October.
    7. Emmanuelle Quillérou & Olivier Guyader, 2012. "What is behind fleet evolution: a framework for flow analysis and application to the French Atlantic fleet," Post-Print hal-00815466, HAL.
    8. 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.
    9. Stewart, James & Callagher, Peter, 2013. "Industry response to the 2003 set net restrictions for protection of Maui′s dolphin," Marine Policy, Elsevier, vol. 42(C), pages 210-222.
    10. Gohar A. Petrossian & Frank S. Pezzella, 2018. "IUU Fishing and Seafood Fraud: Using Crime Script Analysis to Inform Intervention," The ANNALS of the American Academy of Political and Social Science, , vol. 679(1), pages 121-139, September.
    11. Rhona Barr & Susana Mourato, 2012. "Investigating fishers� preferences for the design of marine Payments for Environmental Services schemes," GRI Working Papers 101, Grantham Research Institute on Climate Change and the Environment.
    12. Pradhan, Naresh C. & Leung, PingSun, 2006. "Incorporating sea turtle interactions in a multi-objective programming model for Hawaii's longline fishery," Ecological Economics, Elsevier, vol. 60(1), pages 216-227, November.
    13. Pan, Minling & Walden, John, 2015. "Measuring Productivity in a Shared Stock Fishery: A Case Study of the Hawaii Longline Fishery," Marine Policy, Elsevier, vol. 62(C), pages 302-308.

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