A Simple Empirical Model of Data Fouling by High-Grading in Capture Fisheries
针对商业捕捞数据被“污染”导致资源评估失真问题，提出了一个简单的丢弃与高等级筛选分析模型，估算数据污染因子，并利用生物学、技术、价格和成本数据参数化求解利润最大化努力水平及高等级筛选次数，得出政策启示。
<i>A serious problem facing fisheries managers is how to improve estimates of the distortion in stock assessments resulting from “fouling” of commercial catch data. We propose a simple analytical 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 numerically for the profit-maximizing effort level and the associated number of high-grading operations. Some illustrative policy implications are derived.</i>