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Hybrid MCDM Solutions for Evaluation of the Logistics Performance Index of the Western Balkan Countries

Author

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  • Mešić Amar

    (University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina)

  • Miškić Smiljka

    (University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina)

  • Stević Željko

    (University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina)

  • Mastilo Zoran

    (University of East Sarajevo, Faculty of Business Economics, Bijeljina, Bosnia and Herzegovina)

Abstract

The Logistics Performance Index (LPI) performed by the World Bank is an indicator of the logistics environment quality of a country in which logistics operators act. The LPI is an interactive tool designed to help countries identify challenges, innovative solutions, and opportunities they face in their work in the field of trade and logistics. The aim of this paper is to conduct a comparative analysis and ranking of the LPI of the countries in the Western Balkans (Bosnia and Herzegovina, North Macedonia, Albania, Serbia and Montenegro), calculated by the World Bank for 2018, using an integrated Criteria Importance Through Intercriteria Correlation (CRITIC)-Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) model and thus show the real picture of the logistics environment. In order to determine the performance of countries and show the overall logistics performance, six key dimensions are used: customs, infrastructure, international transport, logistics capability, tracking and tracing of goods and shipment delivery within scheduled or expected times. Using the CRITIC method, the weight values of the previously mentioned six criteria were calculated, whereby the criterion related to shipment delivery within scheduled times was singled out as the most significant criterion. Then, by applying the MARCOS method, the countries of the Western Balkans were ranked on the basis of the six defined criteria. Based on the results obtained, the best-ranked country is Serbia. The analysis of the sensitivity of the results to changes in the significance of the criteria does not show significant changes in the ranking.

Suggested Citation

  • Mešić Amar & Miškić Smiljka & Stević Željko & Mastilo Zoran, 2022. "Hybrid MCDM Solutions for Evaluation of the Logistics Performance Index of the Western Balkan Countries," Economics, Sciendo, vol. 10(1), pages 13-34, June.
    • Handle: RePEc:vrs:econom:v:10:y:2022:i:1:p:13-34:n:5
    DOI: 10.2478/eoik-2022-0004
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    References listed on IDEAS

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    1. Daniel Saslavsky & Ben Shepherd, 2014. "Facilitating international production networks: The role of trade logistics," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(7), pages 979-999, October.
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    3. Özceylan, Eren & Çetinkaya, Cihan & Erbaş, Mehmet & Kabak, Mehmet, 2016. "Logistic performance evaluation of provinces in Turkey: A GIS-based multi-criteria decision analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 323-337.
    4. Julia Devlin & Peter Yee, 2005. "Trade Logistics in Developing Countries: The Case of the Middle East and North Africa," The World Economy, Wiley Blackwell, vol. 28(3), pages 435-456, March.
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    More about this item

    Keywords

    Logistics Performance Index (LPI); MCDM model; CRITIC; MARCOS;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P17 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Performance and Prospects

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