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An extended DEA windows analysis: Middle East and East African seaports

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Author Info

  • Ahmed Salem Al-Eraqi
  • Adli Mustafa
  • Ahamad Tajudin Khader
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    Abstract

    Purpose – The aim of this paper is to evaluate the efficiency of 22 cargo seaports situated in the regions of East Africa and Middle East. Design/methodology/approach – The data envelopment analysis (DEA) with window analysis model evaluates the efficiency score in terms of normal efficiency and super efficiency. The analysis is based on the panel data for the period of 2000-2005. Findings – The number of efficient decision making units (DMUs) under super efficiency is more than the number under normal efficiency. Originality/value – Using panel data, this paper is the first study to use super efficiency with window analysis that compares the efficiency estimated with the normal efficiency and with super efficiency.

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    Bibliographic Info

    Article provided by Emerald Group Publishing in its journal Journal of Economic Studies.

    Volume (Year): 37 (2010)
    Issue (Month): 2 (May)
    Pages: 208-218

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    Handle: RePEc:eme:jespps:v:37:y:2010:i:2:p:208-218

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    Related research

    Keywords: Central and East Africa; Data analysis; Docks; Middle East;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Piyu Yue, 1992. "Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-45.
    2. 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.
    3. Lourdes Trujillo & Beatriz Tovar, 2007. "The European Port Industry: An Analysis of its Economic Efficiency," Maritime Economics and Logistics, Palgrave Macmillan, vol. 9(2), pages 148-171, June.
    4. Kevin Cullinane & Dong-Wook Song, 2001. "The Administrative and Ownership Structure of Asian Container Ports," Maritime Economics and Logistics, Palgrave Macmillan, vol. 3(2), pages 175-197, June.
    5. Cullinane Kevin & Song Dong-Wook & Ji Ping & Wang Teng-Fei, 2004. "An Application of DEA Windows Analysis to Container Port Production Efficiency," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-23, June.
    6. Carlos Pestana Barros, 2006. "A Benchmark Analysis of Italian Seaports Using Data Envelopment Analysis," Maritime Economics and Logistics, Palgrave Macmillan, vol. 8(4), pages 347-365, December.
    7. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    8. Carlos Pestana Barros, 2004. "Measuring performance in defense-sector companies in a small NATO member country," Journal of Economic Studies, Emerald Group Publishing, vol. 31(2), pages 112-128, May.
    9. Carlos Pestana Barros & Manolis Athanassiou, 2004. "Efficiency in European Seaports with DEA: Evidence from Greece and Portugal," Maritime Economics and Logistics, Palgrave Macmillan, vol. 6(2), pages 122-140, June.
    10. Anatoliy G. Goncharuk, 2007. "Impact of political changes on industrial efficiency: a case of Ukraine," Journal of Economic Studies, Emerald Group Publishing, vol. 34(4), pages 324-340, September.
    11. Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
    12. Teng-Fei Wang & Kevin Cullinane, 2006. "The Efficiency of European Container Terminals and Implications for Supply Chain Management," Maritime Economics and Logistics, Palgrave Macmillan, vol. 8(1), pages 82-99, March.
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    Cited by:
    1. Odeck, James & Bråthen, Svein, 2012. "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
    2. Biresh K. Sahoo & Debashis Acharya, 2012. "Constructing macroeconomic performance index of Indian states using DEA," Journal of Economic Studies, Emerald Group Publishing, vol. 39(1), pages 63-83, January.

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