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A modified super-efficiency measure based on simultaneous input-output projection in data envelopment analysis

机译:数据包络分析中基于同时投入产出预测的改进超效率测度

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Super-efficiency data envelopment analysis (SE-DEA) models have been developed and applied in many situations. However, under the condition of variable returns to scale (VRS), infeasibjlity of the SE-DEA model may occur and restrict its application. A modified SE-DEA measure based on simultaneous input-output projection is proposed as a way to systematically characterize the super-efficiency in both inputs and outputs. The modified measure overcomes the infeasibility problem while providing ease of computation and interpretation. The practicability of the proposed measure in real applications and its comparison to other super-efficiency measures are illustrated empirically using an example.
机译:超高效数据包络分析(SE-DEA)模型已经开发并应用于许多情况。但是,在可变规模收益(VRS)的情况下,SE-DEA模型可能会出现问题,并限制其应用。提出了一种基于同时投入产出预测的改进的SE-DEA措施,作为系统表征投入和产出超效率的一种方法。改进的措施克服了不可行的问题,同时提供了易于计算和解释的能力。通过实例对所提出的措施在实际应用中的实用性及其与其他超效率措施的比较进行了说明。

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