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Bootstrapping Malmquist Indices for Danish Seiners in the North Sea and Skagerrak

机译:在北海和Skagerrak的丹麦围网渔船自举Malmquist指数

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摘要

In connection with assessing how an ongoing development in fisheries management may change fishing activity, evaluation of Total Factor Productivity (TFP) change over q period, including efficiency, scale and technology changes, is an important tool. The Malmquist index, based on distance functions evaluated with Data Envelopment Analysis (DEA), is often employed to estimate TFP changes. DEA is generally gaining attention for evaluating efficiency and capacity in fisheries. One main criticism of DEA is that it does not have any statistical foundation, i.e. that it is not possible to make inference about DEA scores or related parameters. The bootstrap method for estimating confidence intervals of deterministic parameters can however be applied to estimate confidence intervals for DEA scores. This method is applied in the present paper for assessing TFP changes between 1987 and 1999 for the fleet of Danish seiners operating in the North Sea and the Skagerrak.
机译:在评估渔业管理方面的持续发展可能如何改变捕捞活动方面,评估全要素生产率(TFP)在q期内的变化(包括效率,规模和技术变化)是重要的工具。基于数据包络分析(DEA)评估的距离函数的Malmquist指数通常用于估算TFP的变化。 DEA通常在评估渔业效率和能力方面引起关注。对DEA的主要批评是它没有任何统计基础,即无法推断DEA得分或相关参数。然而,用于估计确定性参数的置信区间的自举方法可以应用于估计DEA分数的置信区间。该方法在本论文中用于评估1987年至1999年在北海和Skagerrak运行的丹麦围网渔船船队的TFP变化。

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