小规模渔业的能力利用:以阿曼苏丹国为例

M. A. Siyabi, S. Bose
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引用次数: 8

摘要

能力利用和技术效率这两个相互关联的问题由于涉及到资本过剩和过度捕捞的问题而具有全球性的重要性。鉴于在小规模渔业背景下对这些问题的研究有限,本文试图利用数据包络分析(DEA)对阿曼小规模渔业的TE和CU进行实证估计。输出变量包括大型远洋、底栖和其他三类鱼类的总捕获量,而实证分析的输入变量为船长、发动机功率和船员人数。使用了2010年的数据,并选择了97艘活跃的渔船进行分析。TE和CU的估计是在恒定规模回报(CRS)和可变规模回报(VRS)的假设下产生的。在CRS和VRS假设下的TE估计表明,大约84.5%和79.4%的代表性船只在技术上运行效率低下。此外,在相同假设下的无偏CU估计显示,约77.3%和82.5%的船只没有满负荷运行。此外,无偏CU测量的平均得分表明,代表性船只可能没有有效地使用可变输入。为了更好地了解该国小型渔业部门的捕捞作业,规定管理当局应将这项研究扩展到其他沿海省份,并调查效率低下的潜在原因,以设计有效的管理战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacity Utilization in Small-Scale Fisheries: A Case of the Sultanate of Oman
The interrelated issues of capacity utilization (CU) and technical efficiency (TE) have received global importance as they relate to the problem of overcapitalization and overfishing. Given the limited research on these issues in the context of small-scale fisheries, this paper attempts to provide empirical estimates of TE and CU with particular focus on small-scale fisheries in Oman using Data Envelopment Analysis (DEA). The output variables included aggregated catch of three fish categories namely large pelagic, demersal, and other, while the boat length, engine power and number of crews were used as input variables in the empirical analysis. The data for the year 2010 were used and 97 active fishing boats were selected for the analysis. The TE and CU estimates were generated under the assumption of constant returns to scale (CRS) and variable returns to scale (VRS). The TE estimates under both CRS and VRS assumptions indicate that about 84.5% and 79.4% of the representative boats are operating in a technically inefficient manner. In addition, the unbiased CU estimates under the same assumptions show that about 77.3 % and 82.5% of the boats are not operating at full capacity. Furthermore, the average score of unbiased CU measure suggests that the representative boats may not be using variable inputs efficiently. To gain a better understanding of harvesting operations in small-scale fisheries sector in the country, it is prescribed that the management authority should extend this study for other coastal governorates and investigate the potential causes of inefficiency to design effective management strategies.
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