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Optimal Capital Accumulation in a Fishery: A Nonlinear Irreversible Investment Model

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  • Boyce John R.

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  • Boyce John R., 1995. "Optimal Capital Accumulation in a Fishery: A Nonlinear Irreversible Investment Model," Journal of Environmental Economics and Management, Elsevier, vol. 28(3), pages 324-339, May.
    • Handle: RePEc:eee:jeeman:v:28:y:1995:i:3:p:324-339
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    Cited by:

    1. Ben White, 2000. "A Review of the Economics of Biological Natural Resources," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(3), pages 419-462, September.
    2. Bulte, Erwin H. & van Kooten, G. Cornelis, 2001. "Harvesting and conserving a species when numbers are low: population viability and gambler's ruin in bioeconomic models," Ecological Economics, Elsevier, vol. 37(1), pages 87-100, April.
    3. Damania, Richard & Bulte, Erwin H., 2006. "Renewable resource regulation and uncertain prices: The role of financial structure and bankruptcy," Resource and Energy Economics, Elsevier, vol. 28(1), pages 41-53, January.
    4. Bjorndal, Trond & Lane, Daniel E. & Weintraub, Andres, 2004. "Operational research models and the management of fisheries and aquaculture: A review," European Journal of Operational Research, Elsevier, vol. 156(3), pages 533-540, August.
    5. Eisenack, K. & Welsch, H. & Kropp, J.P., 2006. "A qualitative dynamical modelling approach to capital accumulation in unregulated fisheries," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2613-2636, December.
    6. Steven Rust & Sarah Jennings & Satoshi Yamazaki, 2016. "Excess Capacity and Capital Malleability in a Fishery with Myopic Expectations," Marine Resource Economics, University of Chicago Press, vol. 31(1), pages 63-81.
    7. Anders Skonhoft & Asle Gauteplass, 2012. "Optimal exploitation of a renewable resource with capital limitations," Working Paper Series 12912, Department of Economics, Norwegian University of Science and Technology.
    8. Jules Selles, 2018. "Fisheries management: what uncertainties matter?," Working Papers hal-01824238, HAL.
    9. Schaap, Robbert & Richter, Andries, 2019. "Overcapitalization and social norms of cooperation in a small-scale fishery," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    10. Valentina Bosetti & David Tomberlin, 2004. "Fondazione Eni Enrico Mattei," Working Papers 2004.102, Fondazione Eni Enrico Mattei.
    11. Singh, Rajesh & Weninger, Quinn & Doyle, Matthew, 2006. "Fisheries management with stock growth uncertainty and costly capital adjustment," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 582-599, September.
    12. Sandal, Leif Kristoffer & Steinshamn, Stein Ivar, 2006. "Irreversible Investments Revisited," Discussion Papers 2006/11, Norwegian School of Economics, Department of Business and Management Science.
    13. José María Da-Rocha & Raul Prellezo & Jaume Sempere & Luís Taboada Antelo, 2016. "Fleet dynamics and capital malleability," Serie documentos de trabajo del Centro de Estudios Económicos 2016-09, El Colegio de México, Centro de Estudios Económicos.
    14. Ingrid van Putten & Emmanuelle Quillérou & Olivier Guyader, 2012. "How constrained? Entry into the French Atlantic fishery through second-hand vessel purchase," Post-Print hal-00815455, HAL.
    15. van Dijk, Diana & Hendrix, Eligius M.T. & Haijema, Rene & Groeneveld, Rolf A. & van Ierland, Ekko C., 2014. "On solving a bi-level stochastic dynamic programming model for analyzing fisheries policies: Fishermen behavior and optimal fish quota," Ecological Modelling, Elsevier, vol. 272(C), pages 68-75.
    16. Da Rocha Alvarez, Jose Maria & Prellezo, Raul & Sempere, Jaume & Taboada-Antelo, Luis, 2016. "Fleet dynamics and overcapitalization under rational expectations," MPRA Paper 79578, University Library of Munich, Germany.
    17. Poudel, Diwakar & Sandal, Leif K. & Kvamsdal, Sturla F. & Steinshamn, Stein I., 2011. "Fisheries Management under Irreversible Investment: Does Stochasticity Matter?," Discussion Papers 2011/20, Norwegian School of Economics, Department of Business and Management Science.

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