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Measuring the technology gap and logistics performance of individual countries by using a meta-DEA--AR model

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  • Ming-Miin Yu
  • Bo Hsiao

Abstract

This study presents an alternative approach to evaluate the efficiency of the logistics performance index (LPI) of individual countries. This study considers the differences among technology groups by classifying and comparing the countries as high-income Organization for Economic Co-operation and Development (OECD), high-income non-OECD, upper-middle-income, lower-middle-income, and low-income countries. The meta-frontier data envelopment analysis with assurance regions (Meta-DEA--AR) model is proposed to evaluate LPI scores and differences accurately among groups. For conformity with the ranking of original World Bank LPI, the assurance region of each logistics indicator is obtained by a regression model. The results show that the LPI rankings obtained by the proposed model are very comparable to those of World Bank LPI. Without distorting the rankings, the results offer several managerial suggestions for those countries with inefficiency in their LPIs.

Suggested Citation

  • Ming-Miin Yu & Bo Hsiao, 2016. "Measuring the technology gap and logistics performance of individual countries by using a meta-DEA--AR model," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 98-120, January.
    • Handle: RePEc:taf:marpmg:v:43:y:2016:i:1:p:98-120
    DOI: 10.1080/03088839.2015.1037372
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    Cited by:

    1. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    2. Shahari, Mohd Ridzwan & See, Kok Fong & Mohammed, Noor Syahireen & Yu, Ming-Miin, 2023. "Constructing the performance index of Malaysia’s district health centers using effectiveness-based hierarchical data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    3. Bo Hsiao & Li-Hsueh Chen, 2019. "Performance Evaluation for Taiwanese Hospitals by Multi-Activity Network Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1009-1043, May.
    4. Chen, Po-Chi & Yu, Ming-Miin & Shih, Jou-Chen & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2019. "A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 687-698.
    5. Mustafa Polat & Karahan Kara & Avni Zafer Acar, 2023. "Competitiveness based logistics performance index: An empirical analysis in Organisation for Economic Co-operation and Development countries," Competition and Regulation in Network Industries, , vol. 24(2-3), pages 97-119, June.
    6. See, Kok Fong & Ng, Ying Chu & Yu, Ming-Miin, 2022. "An alternative assessment approach to national higher education system evaluation," Evaluation and Program Planning, Elsevier, vol. 94(C).
    7. Rashidi, Kamran & Cullinane, Kevin, 2019. "Evaluating the sustainability of national logistics performance using Data Envelopment Analysis," Transport Policy, Elsevier, vol. 74(C), pages 35-46.

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