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Sensitive Analysis of Intellectual Capital on Corporate Performance in Selected Industry Sectors in China

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Modeling Risk Management for Resources and Environment in China

Part of the book series: Computational Risk Management ((Comp. Risk Mgmt))

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Abstract

Intellectual capital is increasingly being recognized as a driving force for the prosperity of economy and corporations. This paper applies the value-added intellectual coefficient (VAIC) model to investigate the link between components of intellectual capital and corporate performance in three industry sectors in China. We find that (1) the material capital employed efficiency has a positive effect on performance in both manufacturing and real estate sectors; (2) the human capital efficiency has a positive effect on performance in the manufacturing sector but not in the real estate or the IT sectors; (3) the structure capital efficiency has non-significant effect on performance in any of the three industry sectors.

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Acknowledgements

This paper is supported by the National Nature Science Foundation of China (No.71071072)

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Authors and Affiliations

  1. School of Accounting, Nanjing University of Finance and Economics, Nanjing, Jianshu Province, People’s Republic of China

    Xuerong Wang & Cuihu Meng

  2. School of Civil Engineering, The University of Sydney, Sydney, Australia

    Li Liu

Authors
  1. Xuerong Wang
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  2. Li Liu
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  3. Cuihu Meng
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Corresponding author

Correspondence to Xuerong Wang .

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Editors and Affiliations

  1. , Risklab, University of Toronto, Spadina Crescent 1, Toronto, M5S 3G3, Ontario, Canada

    Desheng Dash Wu

  2. , Academy of Mathematics and Systems Scien, Chinese Academy of Sciences, Beijing, 100190, China, People's Republic

    Yong Zhou

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Wang, X., Liu, L., Meng, C. (2011). Sensitive Analysis of Intellectual Capital on Corporate Performance in Selected Industry Sectors in China. In: Wu, D., Zhou, Y. (eds) Modeling Risk Management for Resources and Environment in China. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18387-4_21

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