Blar i Discussion papers (FOR) på forfatter "Poudel, Diwakar"

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    • Analyzing risk of stock collapse in a fishery under stochastic profit maximization 

      Poudel, Diwakar; Sandal, Leif Kristoffer; Kvamsdal, Sturla Furunes (Discussion paper;2012:4, Working paper, 2012-04)
      In commercial fisheries, stock collapse is an intrinsic problem caused by overexploitation or due to pure stochasticity. To analyze the risk of stock collapse, we apply a relatively simple Monte Carlo approach which can ...

    • Do species interactions and stochasticity matter to optimal management of multispecies fisheries? 

      Poudel, Diwakar; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar; Kvamsdal, Sturla Furunes (Discussion paper;2012:1, Working paper, 2012-01)
      The multispecies fisheries management looks at a bigger picture in addressing the long-term consequences of present decisions. This implies an ecosystem management that includes a number of species and their physical, ...

    • Fisheries management under irreversible investment : does stochasticity matter? 

      Poudel, Diwakar; Sandal, Leif Kristoffer; Kvamsdal, Sturla Furunes; Steinshamn, Stein Ivar (Discussion paper;2011:20, Working paper, 2011-11)
      We present a continuous, nonlinear, stochastic and dynamic model for capital investment in the exploitation of a renewable resource. Both the resource stock and capital stock are treated as state variables. The resource ...

    • Greed is good: from super-harvest to recovery in a stochastic predator-prey system 

      Ni, Yuanming; Sandal, Leif K.; Kvamsdal, Sturla F.; Poudel, Diwakar (Discussion paper;5/19, Working paper, 2019-09-04)
      This paper demonstrates a predator-prey system of cod and capelin that confronts a possible scenario of prey extinction under the first-best policy in a stochastic world. We discover a novel ‘super-harvest’ phenomenon that ...

    • Stochastic optimization for multispecies fisheries in the Barents Sea 

      Poudel, Diwakar; Sandal, Leif Kristoffer (Discussion paper;02/14, Working paper, 2014-02)
      This study presents a multispecies stochastic model. The model suggests optimal fishing policy for two species in a three species predator prey ecosystem in the Barents Sea. We have employed stochastic dynamic programing ...