Abstract

This study employed data envelopment analysis with a two-stage bootstrapping technique to analyze cost efficiency in aquaculture using the case of intensive white-leg shrimp farming in Phu Yen province, Vietnam. By adopting the bootstrap procedure in the first stage, the bias-corrected point estimate of cost efficiency was 0.604 with the lower limit of 0.541 and the upper limit of 0.687 at the 95% confidence interval. Moreover, allocative inefficiency, implying the inappropriateness of input mixes—given their respective prices—was found to be the primary cause of cost inefficiency in this aquaculture. The result from bootstrap truncated regression in the second stage suggested that lower input levels of chemicals/drugs and fingerlings and higher input levels of feed used per ha may help to increase the cost-efficiency of shrimp farming. Policies for better access to formal credit are very important in improving cost efficiency in this aquaculture.

摘要

本研究采用数据包络分析和两阶段自举技术，以越南富安省的集约化白腿虾养殖为例，分析水产养殖的成本效率。通过在第一阶段采用 bootstrap 程序，成本效率的偏差校正点估计为 0.604，在 95% 置信区间下，下限为 0.541，上限为 0.687。此外，分配效率低下，意味着投入组合的不适当——考虑到它们各自的价格——被发现是这种水产养殖成本效率低下的主要原因。第二阶段自举截断回归的结果表明，较低的化学品/药物和鱼种投入水平以及较高的每公顷饲料投入水平可能有助于提高养虾的成本效益。