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Input, output and graph technical efficiency measures on non-convex FDH models with various scaling laws: An integrated approach based upon implicit enumeration algorithms

机译:具有不同缩放比例律的非凸FDH模型的输入,输出和图形技术效率度量:基于隐式枚举算法的集成方法

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摘要

In a recent article, Briec, Kerstens and Vanden Eeckaut (2004) develop a series of nonparametric, deterministic non-convex technologies integrating traditional returns to scale assumptions into the non-convex FDH model. They show, among other things, how the traditional technical input efficiency measure can be analytically derived for these technology specifications. In this paper, we develop a similar approach to calculate output and graph measures of technical efficiency and indicate the general advantage of such solution strategy via enumeration. Furthermore, several analytical formulas are established and some algorithms are proposed relating the three measurement orientations to one another.
机译:Briec,Kerstens和Vanden Eeckaut(2004)在最近的一篇文章中开发了一系列非参数,确定性非凸技术,这些技术将传统收益率的规模假设整合到了非凸FDH模型中。他们展示了如何针对这些技术规范分析得出传统的技术投入效率测度。在本文中,我们开发了一种类似的方法来计算输出并用图形表示技术效率,并通过枚举指出这种解决方案策略的总体优势。此外,建立了一些分析公式,并提出了一些算法,将三个测量方向相互关联。

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