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A Dea-Logistics Performance Index

Author

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  • Luisa Martí
  • Juan Carlos Martín
  • Rosa Puertas

Abstract

Logistics and transport increasingly play a pivotal role in international trade relations. The Logistics Performance Index (LPI) measures the on-the-ground efficiency of trade supply chains or logistics performance. The aim of this paper is to propose a data envelopment analysis (DEA) approach to compute a synthetic index of overall logistics performance (DEA-LPI) and benchmark the logistics performance of the countries with LPI. Dealing with the six dimensions of LPI, the proposed approach uses DEA as a tool for multiple criteria decision making (MCDM). Furthermore, the paper also analyses the potential differences observed when using different variables, namely income and geographical area. Our findings suggest that the logistics performance depends largely on income and geographical area. High income countries are in the group of best performers, which is highly dominated by the EU.

Suggested Citation

  • Luisa Martí & Juan Carlos Martín & Rosa Puertas, 2017. "A Dea-Logistics Performance Index," Journal of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 169-192, May.
    • Handle: RePEc:taf:recsxx:v:20:y:2017:i:1:p:169-192
    DOI: 10.1016/S1514-0326(17)30008-9
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    Citations

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    Cited by:

    1. Rosa Puertas & Luisa Marti, 2019. "Sustainability in Universities: DEA-GreenMetric," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    2. Uyar, Ali & Fernandes, Valérie & Kuzey, Cemil, 2021. "The mediating role of corporate governance between public governance and logistics performance: International evidence," Transport Policy, Elsevier, vol. 109(C), pages 37-47.
    3. Gürler, Hasan Emin & Özçalıcı, Mehmet & Pamucar, Dragan, 2024. "Determining criteria weights with genetic algorithms for multi-criteria decision making methods: The case of logistics performance index rankings of European Union countries," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    4. Kalyana C. Chejarla & Omkarprasad S. Vaidya, 2024. "A hybrid multi-criteria decision-making approach for longitudinal data," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1013-1060, September.
    5. Göçer, Aysu & Özpeynirci, Özgür & Semiz, Meltem, 2022. "Logistics performance index-driven policy development: An application to Turkey," Transport Policy, Elsevier, vol. 124(C), pages 20-32.
    6. 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.

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