Multi‐Output, Nonfrontier Primal Measures of Capacity and Capacity Utilization
提出一种计量方法，用于测算渔业的产能产出和利用率。该方法采用多产出多投入随机转换函数框架，避免前沿模型因不可消除的无效性而高估潜在产出，适用于阿拉斯加鳕鱼捕捞船队。
This article implements an econometric approach for generating primal capacity output and utilization measures for fisheries. In situations where regulatory, environmental, and resource conditions affect catch levels but are not independently identified in the data, frontier‐based capacity models may interpret such impacts as production inefficiency. However, if such inefficiencies are unlikely to be eliminated, the implied potential output increases may be unrealistic. We develop a multi‐output, multi‐input stochastic transformation function framework that permits various assumptions about how output composition may change when operating at full capacity. We apply our model to catcher‐processor vessels in the Alaskan pollock fishery.