A Simple Empirical Model of Data Fouling by High-Grading in Capture Fisheries
针对商业捕捞数据因高等级筛选（丢弃低价值鱼）导致的污染问题，提出了一个简单分析模型来估算数据污染因子，并利用生物学、捕捞技术、价格和成本数据参数化模型，求解利润最大化的努力水平和高等级筛选次数。
ABSTRACT. A serious problem facing fisheries managers is how to improve estimates of the distor-tion in stock assessments resulting from ‘‘fouling’ ’ of commercial catch data. We propose a simple ana-lytical model of discarding and high-grading, and estimate the ‘‘data fouling factor’’—the wedge between what is caught and discarded at sea, and what is reported to the regulator. Using available data on biology, harvesting technology, prices, and costs, the model is parameterized and solved numeri-cally for the profit-maximizing effort level and the associated number of high-grading operations. Some illustrative policy implications are derived. I.