IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p1852-d1344800.html
   My bibliography  Save this article

Determination of Logistics Performance of G20 Countries Using Quantitative Decision-Making Techniques

Author

Listed:
  • Pınar Pehlivan

    (Department of Finance-Banking and Insurance, Demirci Vocational School, Manisa Celal Bayar University, 45900 Demirci, Türkiye)

  • Anıl Ilkem Aslan

    (Department of Finance-Banking and Insurance, Demirci Vocational School, Manisa Celal Bayar University, 45900 Demirci, Türkiye)

  • Sofia David

    (Department of Business Administration, Faculty of Economics and Business Administration, “Dunarea de Jos” University of Galati, 800008 Galati, Romania)

  • Silviu Bacalum

    (Department of Sciences, Cross-Border Faculty, “Dunarea de Jos” University of Galati, 800201 Galati, Romania)

Abstract

Today, the increase in competition with globalization has caused logistics to gain importance, with international trade as one of its basic elements. Developments in the transportation and logistics sector affect economic growth through their effects on production, consumption, and trade. Similarly, international trade and economic growth also support the development of the transportation and logistics sector. From this perspective, logistics is an indicator of development. Nowadays, logistics is a constantly developing and growing sector. The aim of this study is to conduct performance rankings and cluster analyses of G20 countries in 2023 and to compare the results with the logistics performance index (LPI) scores published by the World Bank. Our assumption is that the results of the analysis and the LPI index would be the same or similar. The findings obtained as a result of both analyses are largely similar to the LPI ranking presented by the World Bank.

Suggested Citation

  • Pınar Pehlivan & Anıl Ilkem Aslan & Sofia David & Silviu Bacalum, 2024. "Determination of Logistics Performance of G20 Countries Using Quantitative Decision-Making Techniques," Sustainability, MDPI, vol. 16(5), pages 1-15, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1852-:d:1344800
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/1852/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/5/1852/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rosa Puertas & Luisa Martí & Leandro García, 2014. "Logistics performance and export competitiveness: European experience," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 467-480, August.
    2. Stojanović, Đurđica & Ivetić, Jelena, 2020. "Possibilities of using Incoterms clauses in a country logistics performance assessment and benchmarking," Transport Policy, Elsevier, vol. 98(C), pages 217-228.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Stojanović, Đurđica & Ivetić, Jelena, 2020. "Possibilities of using Incoterms clauses in a country logistics performance assessment and benchmarking," Transport Policy, Elsevier, vol. 98(C), pages 217-228.
    3. 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.
    4. Erkan Bayraktar & Enes Eryarsoy & Fuat Kosanoglu & Mehmet Fatih Acar & Selim Zaim, 2024. "Unveiling the Drivers of Global Logistics Efficiency: Insights from Cross-Country Analysis," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    5. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    6. Önsel Ekici, Şule & Kabak, Özgür & Ülengin, Füsun, 2019. "Improving logistics performance by reforming the pillars of Global Competitiveness Index," Transport Policy, Elsevier, vol. 81(C), pages 197-207.
    7. Dan Yang & Weili Yin & Sen Liu & Felix T. S. Chan, 2022. "Understanding the Effect of Multi-Agent Collaboration on the Performance of Logistics Park Projects: Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-23, March.
    8. 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).
    9. Marta Kadłubek & Eleftherios Thalassinos & Joanna Domagała & Sandra Grabowska & Sebastian Saniuk, 2022. "Intelligent Transportation System Applications and Logistics Resources for Logistics Customer Service in Road Freight Transport Enterprises," Energies, MDPI, vol. 15(13), pages 1-27, June.
    10. Sakshi Aggarwal & Debashis Chakraborty, 2022. "Which Factors Influence India’s Intra-Industry Trade? Empirical Findings for Select Sectors," Global Business Review, International Management Institute, vol. 23(3), pages 729-755, June.
    11. Yuanhong Hu & Min Jiang & Sheng Sun & Yixin Dai, 2022. "Does Trade Facilitation Promote Export Technological Sophistication? Evidence From the European Transition Countries," SAGE Open, , vol. 12(2), pages 21582440221, June.
    12. Đurđica Stojanović & Jelena Ivetić & Marko Veličković, 2021. "Assessment of International Trade-Related Transport CO 2 Emissions—A Logistics Responsibility Perspective," Sustainability, MDPI, vol. 13(3), pages 1-15, January.
    13. Wen Qin & Xiaolie Qi, 2022. "Evaluation of Green Logistics Efficiency in Northwest China," Sustainability, MDPI, vol. 14(11), pages 1-14, June.
    14. Aggarwal, Sakshi & Chakraborty, Debashis, 2017. "Determinants of India’s Bilateral Intra-Industry Trade over 2001-15: Empirical Results," MPRA Paper 78020, University Library of Munich, Germany.
    15. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    16. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    17. Courage Mlambo, 2021. "The Impact of Port Performance on Trade: The Case of Selected African States," Economies, MDPI, vol. 9(4), pages 1-18, September.
    18. Govindan, Kannan & Kilic, Merve & Uyar, Ali & Karaman, Abdullah S., 2021. "Drivers and value-relevance of CSR performance in the logistics sector: A cross-country firm-level investigation," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. Florin TUDOR & Stefania MIRICA, 2022. "The Defining Role of Delivery Conditions in International Trade of Goods by Sea for the Detection of Irregularities and Non-Conformities," International Investment Law Journal, Societatea de Stiinte Juridice si Administrative (Society of Juridical and Administrative Sciences), vol. 2(1), pages 93-98, February.
    20. Kumar Detwal, Pankaj & Soni, Gunjan & Kumar Jakhar, Suresh & Kumar Srivastava, Deepak & Madaan, Jitender & Kayikci, Yasanur, 2023. "Machine learning-based technique for predicting vendor incoterm (contract) in global omnichannel pharmaceutical supply chain," Journal of Business Research, Elsevier, vol. 158(C).

    More about this item

    Keywords

    logistics performance index; G20; clustering analysis;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1852-:d:1344800. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.