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Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers' Gear Choices

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  • Håkan Eggert
  • Ragnar Tveteras

Abstract

We present a model of fishers' gear choice, which allows for heterogeneity both in production technology and risk preferences and apply it on a panel of Swedish trawlers. Stochastic revenue functions are estimated and used to predict the mean and standard deviation of revenue for each trip. In a random-parameters logit model, we test if these predicted values explain gear choice. A majority of fishers respond positively to increased mean and negatively to increased variability of expected landing values, indicating risk aversion, but also show a strong tendency to choose the same gear used on the previous trip. Copyright 2004, Oxford University Press.

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  • Håkan Eggert & Ragnar Tveteras, 2004. "Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers' Gear Choices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 199-212.
  • Handle: RePEc:oup:ajagec:v:86:y:2004:i:1:p:199-212
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    Cited by:

    1. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    2. Giné, Xavier & Martinez-Bravo, Monica & Vidal-Fernández, Marian, 2017. "Are labor supply decisions consistent with neoclassical preferences? Evidence from Indian boat owners," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 331-347.
    3. Zhang, Ruojin, 2016. "The Effects of Residue Tolerance on Pesticide Use, Hop Marketing and Social Welfare," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235155, Agricultural and Applied Economics Association.
    4. Wu, Feng & Guan, Zhengfei, 2014. "Efficient Estimation of Risk Attitude with Seminonparametric Risk Modeling," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170625, Agricultural and Applied Economics Association.
    5. Haynie, Alan C. & Hicks, Robert L. & Schnier, Kurt E., 2009. "Common property, information, and cooperation: Commercial fishing in the Bering Sea," Ecological Economics, Elsevier, vol. 69(2), pages 406-413, December.
    6. Johnson, Ayana Elizabeth & Saunders, Daniel Kaiser, 2014. "Time preferences and the management of coral reef fisheries," Ecological Economics, Elsevier, vol. 100(C), pages 130-139.
    7. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    8. César Salazar Espinoza, 2015. "Share Contract Choices and Economic Performance: Empirical Evidence from the Artisanal Fisheries Sector in Chile," Marine Resource Economics, University of Chicago Press, vol. 30(1), pages 71-95.
    9. Junjie Zhang & Martin Smith, 2011. "Heterogeneous Response to Marine Reserve Formation: A Sorting Model approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 311-325, July.
    10. Frank Asche, 2009. "Adjustment Cost and Supply Response in a Fishery: A Dynamic Revenue Function," Land Economics, University of Wisconsin Press, vol. 85(1), pages 201-215.
    11. Martin Smith & James Wilen, 2005. "Heterogeneous and Correlated Risk Preferences in Commercial Fishermen: The Perfect Storm Dilemma," Journal of Risk and Uncertainty, Springer, vol. 31(1), pages 53-71, July.
    12. Håkan Eggert & Peter Martinsson, 2004. "Are Commercial Fishers Risk-Lovers?," Land Economics, University of Wisconsin Press, vol. 80(4).
    13. Nguyen, Quang, 2009. "Do fishermen have different preferences?: Insights from an experimental study and household data," MPRA Paper 16012, University Library of Munich, Germany.
    14. Laurent Gobillon & Wolff Francois Charles, 2017. "The local effects of an innovation: Evidence from the French fish market," PSE Working Papers halshs-01431160, HAL.
    15. Eggert, Håkan & Tveterås, Ragnar, 2004. "Potential Rent and Overcapacity in the Swedish Baltic Sea Trawl Fishery," Working Papers in Economics 152, University of Gothenburg, Department of Economics.
    16. Nakashima, Takahiro, 2006. "Linear Structural Models of Production under Price Uncertainty: A Mean-Standard Deviation Approach," Japanese Journal of Rural Economics, Agricultural Economics Society of Japan (AESJ), vol. 0, pages 1-11.
    17. Smith, Martin D. & Zhang, Junjie & Coleman, Felicia C., 2008. "Econometric modeling of fisheries with complex life histories: Avoiding biological management failures," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 265-280, May.
    18. McConnell, Kenneth E. & Price, Michael, 2006. "The lay system in commercial fisheries: Origin and implications," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 295-307, May.
    19. Sundar, B. & Virmani, Vineet, 2013. "Attitudes towards Risk of Forest Dependent Communities - Evidence from Andhra Pradesh," IIMA Working Papers WP2013-12-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    20. Gelcich, Stefan & Edwards-Jones, Gareth & Kaiser, Michel J., 2007. "Heterogeneity in fishers' harvesting decisions under a marine territorial user rights policy," Ecological Economics, Elsevier, vol. 61(2-3), pages 246-254, March.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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