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Global Market Evaluation: A Longitudinal Efficiency Assessment Approach


  • Chao Gary H.

    (Department of Business Administration, Kutztown University, Kutztown, PA 19530, USA)

  • Hsu Maxwell K.

    (Department of Marketing, University of Wisconsin-Whitewater, Whitewater, WI 53190, USA)

  • Haas David A.

    (Department of Professional Studies, Kutztown University, Kutztown, PA 19530, USA)


Both experienced and novice international business practitioners may need to examine many country ranking reports on a frequent basis. Most of these reports focus on certain socio-economic variables and compute country rankings with a weighted average method, which does not distinguish between likely causes (i.e. inputs) and consequences (i.e. outputs). Through data envelopment window analysis (DEWA), the publicly accessible globalEDGE™ data were employed to compute the relative efficiency index for 22 countries from 2002 to 2009. Subsequently, the trend (averages) and the consistency (correlations) of relative country efficiency along the passage of years were examined to segment those countries into three groups: the “consistent performers,” the “sliding performers,” and the “improving performers” groups. This segmentation scheme may facilitate business practitioners when they develop their global expansion strategy. This paper introduces a complementary yet different longitudinal efficiency which could help multinational corporations’ top management teams and government decision makers evaluate the continuous performance of output/input efficiency.

Suggested Citation

  • Chao Gary H. & Hsu Maxwell K. & Haas David A., 2014. "Global Market Evaluation: A Longitudinal Efficiency Assessment Approach," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 1-27, October.
  • Handle: RePEc:bpj:glecon:v:14:y:2014:i:3-4:p:27:n:3
    DOI: 10.1515/gej-2014-0008

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    References listed on IDEAS

    1. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    2. Raab, Raymond L. & Feroz, Ehsan Habib, 2007. "A productivity growth accounting approach to the ranking of developing and developed nations," The International Journal of Accounting, Elsevier, vol. 42(4), pages 396-415, December.
    3. Day, Diana L. & Lewin, Arie Y. & Li, Hongyu, 1995. "Strategic leaders or strategic groups: A longitudinal data envelopment analysis of the U.S. brewing industry," European Journal of Operational Research, Elsevier, vol. 80(3), pages 619-638, February.
    4. Pulina, Manuela & Detotto, Claudio & Paba, Antonello, 2010. "An investigation into the relationship between size and efficiency of the Italian hospitality sector: A window DEA approach," European Journal of Operational Research, Elsevier, vol. 204(3), pages 613-620, August.
    5. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
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