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Employee motivation, external orientation and the technical efficiency of foreign-financed firms in China: a stochastic frontier analysis

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  • Vincent Mok

    (School of Accounting and Finance, Hong Kong Polytechnic University, Hong Kong)

  • Godfrey Yeung

    (School of Social Sciences, University of Sussex, United Kingdom)

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    Abstract

    By using a stochastic frontier model, we have identified several firm-specific attributes as determinants of technical efficiency in foreign-financed manufacturing firms in southern China. The empirical results suggest a strong association between efficiency and employee motivation, which includes the use of bonus incentives and flexibility in employment policy. In terms of the external orientation behavior of firms, the findings do not support the export|efficiency relationship. Sample firms with a high degree of export-orientedness were less efficient, possibly due to the high transaction costs in China of exportation. As for the effects of expatriate input on production, our empirical evidence revealed that firms with a relatively high expatriate ratio performed less efficiently than others did. These two findings may have significant implications for the marketing strategies and management (including the localization) of human resources of foreign-financed firms in China. Copyright © 2005 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/mde.1203
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Managerial and Decision Economics.

    Volume (Year): 26 (2005)
    Issue (Month): 3 ()
    Pages: 175-190

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    Handle: RePEc:wly:mgtdec:v:26:y:2005:i:3:p:175-190

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976

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    1. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    2. Alwyn Young, 2000. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," NBER Working Papers 7856, National Bureau of Economic Research, Inc.
    3. Francesconi, Marco, 2001. " Determinants and Consequences of Promotions in Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(3), pages 279-310, July.
    4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    5. Rawski, Thomas G. & Xiao, Wei, 2001. "Roundtable on Chinese Economic Statistics Introduction," China Economic Review, Elsevier, vol. 12(4), pages 298-302.
    6. Helleiner, G.K., 1989. "Transnational corporations and direct foreign investment," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 2, chapter 27, pages 1441-1480 Elsevier.
    7. Laffont, Jean-Jacques & Tirole, Jean, 1986. "Using Cost Observation to Regulate Firms," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 614-41, June.
    8. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-48, September.
    9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
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