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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >An undesirable-output-considered super-efficiency DEA model and its illustration in evaluation of thermoelectric enterprises
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An undesirable-output-considered super-efficiency DEA model and its illustration in evaluation of thermoelectric enterprises

机译:考虑不良输出的超效率DEA模型及其在热电企业评价中的说明

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摘要

Undesirable outputs are usually produced along with desirable outputs. However, it is difficult to evaluate undesirable-output-considered efficiency and realize the complete sequencing of efficiency levels with traditional super-efficiency data envelopment analysis (DEA) models. In this paper, a kind of super-efficiency DEA model considering both desirable and undesirable outputs will be proposed based on the classical slack-based measure (SBM) environmental efficiency evaluation model. And the super-efficiency values will be calculated to realize the complete ranking of all decision making units (DMUs). After that, "projection" of DMUs will be used to provide benchmark for evaluated DMUs. Then, our approach is applied to an practical example of 42 thermoelectric enterprises in China. We find that there are many good properties of this new model compared with traditional models, by which not only complete sequencing of those thermoelectric enterprises can be realized but also significant differences among them can be revealed. The efficiencies of DEA inefficient enterprises are comparatively low, that is to say, these enterprises should improve their environmental efficiency levels and cleaner production largely to be efficient.
机译:通常会产生不期望的输出以及期望的输出。但是,很难通过传统的超效率数据包络分析(DEA)模型来评估不希望有输出的效率并实现效率水平的完整排序。本文将基于经典的基于松弛的测度(SBM)环境效率评估模型,提出一种兼顾期望和不期望产出的超效率DEA模型。并且将计算超效率值,以实现所有决策单位(DMU)的完整排名。之后,将使用DMU的“投影”为评估后的DMU提供基准。然后,将我们的方法应用于中国42家热电企业的实例。我们发现,与传统模型相比,该新模型具有许多优良性能,不仅可以实现对那些热电企业的完整排序,而且可以揭示它们之间的显着差异。 DEA效率低的企业的效率相对较低,也就是说,这些企业应提高其环境效率水平,并在很大程度上提高清洁生产的效率。

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