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Congestion in the Chinese automobile and textile industries revisited

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  • A.T. Flegg

    ()
    (School of Economics, University of the West of England)

  • D.O. Allen

    ()
    (School of Economics, University of the West of England)

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    Abstract

    This paper re-examines a problem of congested inputs in the Chinese automobile and textile industries, which was identified by Cooper et al. (Socio-Economic Planning Sciences 35 (2001) 227-242). These authors employed a single approach to measuring congestion, however, so it is of interest to see whether other approaches would yield very different answers as regards the severity of this problem. Indeed, the measurement of congestion is an area where there has been much theoretical debate but relatively little empirical work. Here we use the data set assembled by Cooper et al. for the period 1981-1997 to compare and contrast the measurements of congestion generated by three alternative approaches. We find that these measurements are indeed very different.

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    File URL: http://carecon.org.uk/DPs/0702.pdf
    File Function: First version, 2007
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    Bibliographic Info

    Paper provided by Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol in its series Working Papers with number 0702.

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    Length: 33 pages
    Date of creation: Mar 2007
    Date of revision:
    Handle: RePEc:uwe:wpaper:0702

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    Keywords: Monetary Policy;

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    1. Cooper, W. W. & Seiford, L. M. & Zhu, J., 2001. "Slacks and congestion: response to a comment by R. Fare and S. Grosskopf," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 35(3), pages 205-215, September.
    2. A. T. Flegg & D. O. Allen & K. Field & T. W. Thurlow, 2004. "Measuring the efficiency of British universities: a multi-period data envelopment analysis," Education Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 12(3), pages 231-249.
    3. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    4. Cherchye, Laurens & Kuosmanen, Timo & Post, Thierry, 2001. "Alternative treatments of congestion in DEA: A rejoinder to Cooper, Gu, and Li," European Journal of Operational Research, Elsevier, Elsevier, vol. 132(1), pages 75-80, July.
    5. Cooper, W. W. & Gu, Bisheng & Li, Shanling, 2001. "Comparisons and evaluations of alternative approaches to the treatment of congestion in DEA," European Journal of Operational Research, Elsevier, Elsevier, vol. 132(1), pages 62-74, July.
    6. Cooper, William W. & Seiford, Lawrence M. & Zhu, Joe, 2000. "A unified additive model approach for evaluating inefficiency and congestion with associated measures in DEA," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 34(1), pages 1-25, March.
    7. Rolf Färe & Shawna Grosskopf, 2000. "Research Note. Decomposing Technical Efficiency with Care," Management Science, INFORMS, INFORMS, vol. 46(1), pages 167-168, January.
    8. Cooper, W. W. & Gu, Bisheng & Li, Shanling, 2001. "Note: Alternative treatments of congestion in DEA - a response to the Cherchye, Kuosmanen and Post critique," European Journal of Operational Research, Elsevier, Elsevier, vol. 132(1), pages 81-87, July.
    9. Tone, Kaoru & Sahoo, Biresh K., 2004. "Degree of scale economies and congestion: A unified DEA approach," European Journal of Operational Research, Elsevier, Elsevier, vol. 158(3), pages 755-772, November.
    10. Cooper, W. W. & Deng, Honghui & Huang, Zhimin M. & Li, Susan X., 2002. "A one-model approach to congestion in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 36(4), pages 231-238, December.
    11. Fare, Rolf & Grosskopf, Shawna, 2000. "Slacks and congestion: a comment," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 34(1), pages 27-33, March.
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