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Economic Performance Of Portuguese Companies 1989-1999: A Dea Study

Author

Listed:
  • Julian H. Tice

    (Universidade de Aveiro)

  • António C. Moreira

    (Universidade de Aveiro)

  • Cláudia Sarrico

    (Universidade de Aveiro)

Abstract

The magazine Exame 500 publishes each year a listing of the top 500 companies by sales volume, along with accompanying financial indicators. This rich data set is underutilized in the analysis performed by Exame 500, rankings and relative performance being assessed in a naïve fashion. This study seeks to provide an enhanced view of the sectoral performance of the Portuguese economy in the period 1989-1999 using the Data Envelopment Analysis (DEA) technique. Additionally, the relative performance of national to foreign-owned companies and public to private companies is assessed. An analysis of the results seeks to understand why certain sectors perform better than others, and how national/ foreign ownership and public/ private objectives matter. The results are interpreted with particular reference to the economic background of the period. Some final comments are presented discussing the usefulness of DEA and possible revisions of the technique as well as other limitations of the study.

Suggested Citation

  • Julian H. Tice & António C. Moreira & Cláudia Sarrico, 2008. "Economic Performance Of Portuguese Companies 1989-1999: A Dea Study," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 111-128.
    • Handle: RePEc:pjm:journl:v:xiii:y:2008:i:1:p:111-128
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    References listed on IDEAS

    as
    1. Knox Lovell, C. A., 1995. "Measuring the macroeconomic performance of the Taiwanese economy," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 165-178, April.
    2. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    5. M C A Silva Portela & E Thanassoulis & G Simpson, 2004. "Negative data in DEA: a directional distance approach applied to bank branches," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1111-1121, October.
    6. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    7. Thanassoulis, E. & Boussofiane, A. & Dyson, R. G., 1996. "A comparison of data envelopment analysis and ratio analysis as tools for performance assessment," Omega, Elsevier, vol. 24(3), pages 229-244, June.
    8. G Simpson, 2005. "Programmatic efficiency comparisons between unequally sized groups of DMUs in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(12), pages 1431-1438, December.
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