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随着数据包络分析DEA模型在电力行业应用方面文章的不断推出,已给读者很多的启示,但在有的文献中却出现了一些问题,包括不能正确区分模型、不能科学判定决策单元的有效性、指标的选择不符合标准以及Malmquist指数分解存在理论缺陷等问题。本文立足于数据包络分析模型基本思想和假设条件,分析了在运用数据包络分析模型进行研究时出现的错误及其产生的原因,同时规范了其分析方法并提出了相关的建议。
With the continuous introduction of data envelopment analysis DEA model in power industry applications, the reader has given a lot of inspiration, but in some literature there have been some problems, including the failure to correctly distinguish the model, the scientific decision-making unit can not be scientifically valid Sex, the choice of indicators does not meet the standards and the existence of theoretical Malmquist index decomposition defects. Based on the basic idea and assumptions of data envelopment analysis model, this paper analyzes the errors that occur when using data envelopment analysis model and its causes, and at the same time regulates its analysis method and puts forward some related suggestions.