An empirical study on the value relevance of economic value added in logistics

Yan Tong*, Chuang Lu, Xiaoke Cheng

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Motivated by the increased use and interest, we examine the value relevance of Economic Value Added (EVA) based on sample of Chinese logistics. Empirical evidence supports significant incremental information content of EVA compared with traditional performance measures, but the incremental information is not sufficient enough to support EVA dominating them. Nevertheless, the significant coefficients of the components of EVA give strong support for the application of EVA in logistics. So, logistics enterprises should include EVA in their evaluation system to reflect the real wealth creation for shareholders, while traditional measures still in use at the same time.

    Original languageEnglish
    Title of host publicationProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
    DOIs
    Publication statusPublished - 2009
    Event2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009 - Wuhan, China
    Duration: 11 Dec 200913 Dec 2009

    Publication series

    NameProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

    Conference

    Conference2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
    Country/TerritoryChina
    CityWuhan
    Period11/12/0913/12/09

    Keywords

    • Economic value added (EVA)
    • Logistics
    • Value relevance

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    Cite this

    Tong, Y., Lu, C., & Cheng, X. (2009). An empirical study on the value relevance of economic value added in logistics. In Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009 Article 5362924 (Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009). https://doi.org/10.1109/CISE.2009.5362924