This article develops and implements a stochastic optimal control approach to value renewable natural resources in the case of Marine Fisheries. The model includes two sources of uncertainty: the resource biomass and the price of fish, and it can be used by fisheries and regulators to optimally adapt their harvesting strategy to changing conditions in these stochastic variables. The model also features realistic operational cash flows. Using publicly available data on the British Columbia halibut fishery, the required parameters are estimated and the model is solved. The results indicate that price uncertainty is especially important in valuing fisheries and determining the optimal harvesting policy.

本文开发并实现了随机最优控制方法，以评估海洋渔业中可再生自然资源的价值。该模型包括两个不确定性来源：资源生物量和鱼的价格，渔业和监管者可以使用它来优化其捕捞策略以适应这些随机变量的变化情况。该模型还具有现实的经营现金流。使用不列颠哥伦比亚省大比目鱼捕捞的公开数据，估计所需参数并求解模型。结果表明，价格不确定性对于评估渔业价值和确定最佳捕捞政策尤为重要。