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A Hybrid Mcdm Model For Evaluation Of Rail Freight Transportation Efficiencies Of Balkan States

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  • Omer Faruk Gorcun

Abstract

The importance of Balkan Countries in the perspective of international transportation and logistics operations in addition to global trade has been ever-increasing. Especially, in addition to being countries of transit, each of them tries to be hub countries in the international trade thanks to investments, which were made in the fields of transportation and logistics by themselves. At the same time, while the import volume of the Balkan countries is shown an increase depending on their national incomes. As well as the range of products that subject to the export, the total revenue of countries is also increased day by day. Rail transportation plays an important role in logistics and transportation activities of these countries and it can be accepted as an indicator for logistics performance. In order to be important actors in international trade, they should be aware of their performance about rail freight transportation and should base on their decisions to these factors. Therefore, it is needed a methodology and model, which suggest a systematic and structural solution way in order to evaluate the performance of the Balkan countries in the fields of rail freight transportation. In this study, a hybrid model, which consist of integrated entropy and OCRA methods is proposed in order to analyze the rail freight transport effectivities of these countries. While the selected model can provide the calculation of the rail freight transport performance scores of countries and it provides an opportunity of comparison of effectivity and performance of these countries by focusing the output and input factors.

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  • Omer Faruk Gorcun, 2019. "A Hybrid Mcdm Model For Evaluation Of Rail Freight Transportation Efficiencies Of Balkan States," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 13(1), pages 324-340.
    • Handle: RePEc:isp:journl:v:13:y:2019:i:1:p:324-340
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    1. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    2. Jayanthi, Shekhar & Kocha, Bart & Sinha, Kingshuk K., 1999. "Competitive analysis of manufacturing plants: An application to the US processed food industry," European Journal of Operational Research, Elsevier, vol. 118(2), pages 217-234, October.
    3. Yu, Ming-Miin, 2008. "Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world's railways through NDEA analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1283-1294, December.
    4. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    5. Wang, Shouhong, 2006. "Comments on operational competitiveness rating analysis (OCRA)," European Journal of Operational Research, Elsevier, vol. 169(1), pages 329-331, February.
    6. Woroniuk, Clare & Marinov, Marin & Zunder, Tom & Mortimer, Phil, 2013. "Time series analysis of rail freight services by the private sector in Europe," Transport Policy, Elsevier, vol. 25(C), pages 81-93.
    7. Finger, Matthias, 2014. "Governance of competition and performance in European railways: An analysis of five cases," Utilities Policy, Elsevier, vol. 31(C), pages 278-288.
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    More about this item

    Keywords

    rail freight transport; performance analysis; ocra; entropy; logistics; mcdm;
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    JEL classification:

    • A - General Economics and Teaching

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