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EVA and DEA, Which Is Better in Reflecting the Capital Efficiency?

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Knowledge Discovery and Data Mining

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 135))

Abstract

Traditionally, people generally believe Economic Value Added (EVA) is one of the best indicators to evaluate capital efficiency of companies. This paper attempts to use Data Envelopment Analysis (DEA) in evaluating the efficiency of capital, and by comparing the samples and conclusions of DEA with those of EVA, it is found that DEA is a better way to reflect the capital efficiency. The two-stage analysis—principal component analysis and Data Envelopment Analysis in this paper provide new ideas for studying capital efficiency of companies.

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Authors and Affiliations

  1. Institute of Defense Economics and Management, Central University of Finance and Economics, Beijing, 100081, P.R. China

    Yadong Shi

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  1. Yadong Shi
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Correspondence to Yadong Shi .

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Editors and Affiliations

  1. , School of Electronic Engineering, Wuhan Institute of Technology, Lvting yajing 10-3-102, Wuhan, 430079, China, People's Republic

    Honghua Tan

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Shi, Y. (2012). EVA and DEA, Which Is Better in Reflecting the Capital Efficiency?. In: Tan, H. (eds) Knowledge Discovery and Data Mining. Advances in Intelligent and Soft Computing, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27708-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-27708-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27707-8

  • Online ISBN: 978-3-642-27708-5

  • eBook Packages: EngineeringEngineering (R0)

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