Towards a new model to benchmark firms’ operating efficiency: A data envelopment analysis approach

IF 1.1 Q3 BUSINESS, FINANCE
M. Oberholzer, Dawie Mong, Jan van Romburgh
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引用次数: 1

Abstract

The purpose of the study was to construct two similar data envelopment analysis (DEA) models. The first contains only published accounting-based data and the second added weighted average cost of capital (WACC), a primary market-based determinant, as an input variable. The efficiency scores of firms according to the two models are compared to determine whether there is a significant difference between the two models’ results. In total, 206 company years were analysed. This includes all the manufacturing firms which published financial statements on the Johannesburg Security Exchange (JSE) from 2011 to 2013. The study found that there is a good chance that the efficiency score of a firm will be significantly lower when WACC is added as a variable. Therefore, ignoring WACC in a general benchmarking DEA model may provide a misleading, too optimistic, sugar-coated answer to firms’ managers with regard to their firms’ relative operating efficiency. The study contributes to the existing body of literature by revealing evidence that WACC is an important component in a DEA model that aims to benchmark firms’ operating efficiency. Therefore, accounting-based data should be used in conjunction with WACC, a primary market-based determinant, which adds a further dimension to the benchmarking model.
构建企业经营效率基准的新模型:数据包络分析方法
本研究的目的是构建两个相似的数据包络分析(DEA)模型。第一种方法只包含公开的基于会计的数据,第二种方法增加了加权平均资本成本(WACC),这是一个主要的市场决定因素,作为输入变量。比较两种模型下企业的效率得分,以确定两种模型的结果之间是否存在显著差异。总共分析了206个公司年。这包括2011年至2013年在约翰内斯堡证券交易所(JSE)发布财务报表的所有制造公司。研究发现,当WACC作为一个变量加入时,企业的效率得分很有可能显著降低。因此,在一般基准DEA模型中忽略WACC可能会给企业管理者提供一个误导的、过于乐观的、糖衣包裹的关于企业相对运营效率的答案。该研究通过揭示WACC是旨在衡量企业运营效率的DEA模型的重要组成部分的证据,为现有文献做出了贡献。因此,基于会计的数据应该与基于市场的主要决定因素WACC一起使用,这为基准模型增加了一个进一步的维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
7
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