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A caveat on the measurement of productive efficiency

机译:衡量生产效率的警告

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The correspondence between used performance measures and enterprise objectives, such as profit maximization and cost minimization, is fundamental for manufacturing companies. This paper identifies, and critically examines, a minimal set of relevant properties that a productivity index needs to satisfy to rightly assess performance development of a decision-making unit. Commonly applied and suggested productivity measurement techniques, such as partial efficiencies, total factor productivity (TFP), index number approaches, integrated partial efficiencies and operational competitiveness ratings, are analyzed in order to assess the alignment with superior objectives. There is a considerable spread in the results of this class of models and the interpretation may prove difficult or misleading. As these apparently less complicated productivity measures increasingly are employed as a component in evaluation of manufacturing efficiency, the question is of high managerial relevance. In particular, the paper points out inconsistencies with properties related to commensurability, monotonicity, and implications of maximizing behavior. Based on this viewpoint, issues such as the consistency with profit maximization will be shown extra interest. The paper also provides a critique of previous work in non-parametric efficiency analysis where properties have been postulated or based on other arguments. The findings suggest that there is no globally superior measurement technique to be found in this class and that care should be taken when evaluating managerial performance not to penalize rational behavior.
机译:所使用的绩效指标与企业目标(例如利润最大化和成本最小化)之间的对应关系对于制造公司而言至关重要。本文确定并严格审查了生产率指标满足正确评估决策部门绩效发展所需的最低限度的相关属性集。分析了常用的和建议的生产率测量技术,例如部分效率,全要素生产率(TFP),指数方法,综合部分效率和运营竞争力等级,以评估与上级目标的一致性。此类模型的结果有相当大的差异,并且可能难以解释或引起误解。由于这些似乎不太复杂的生产率措施越来越多地被用作评估制造效率的组成部分,因此,该问题具有高度的管理意义。特别是,本文指出了与可比性,单调性和最大化行为含义有关的属性不一致。基于这种观点,诸如利润最大化的一致性之类的问题将受到更多关注。本文还对以前在非参数效率分析中的工作提出了批评,在非工作效率分析中,已经假定属性或基于其他参数。这些发现表明,在这一类课程中找不到全球领先的测量技术,并且在评估管理绩效时应注意不要对理性行为进行惩罚。

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