IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v48y2016icp117-128.html
   My bibliography  Save this article

Linking to compete: Logistics and global competitiveness interaction

Author

Listed:
  • Önsel Ekici, Şule
  • Kabak, Özgür
  • Ülengin, Füsun

Abstract

A country’s ability to trade globally depends to a great extent on the traders’ access to efficient logistics networks. The efficiency of logistics networks, in its turn, depends on government services, investments, and policies. Building infrastructure, developing a regulatory regime for transport services, and designing and implementing efficient customs clearance procedures are the areas where governments play an important role. One of the measures for logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. LPI is composed of six indicators namely customs, infrastructure, service quality, timeliness, international shipments, and tracking and tracing. This study argues that there is a close relationship between global competitiveness and the logistics efficiency of a country and it analyzes the validity of these relations using an artificial neural network (ANN) and cumulative belief degrees (CBD) approach. For this purpose; initially, a screening process is carried out to find the World Economic Forum’s competitiveness indicators that may have an impact on each of the LPI indicators. Subsequently, the relationship between the competitiveness indicators and LPI indicators is analyzed using ANN where the LPI indicators are represented by CBDs. As a case study, this methodology is used to analyze Turkey’s logistics performance and to develop the basic strategies to be adopted by the government to achieve a targeted LPI level for the country. Among the many factors relating to logistics performance, it was found that fixed broadband Internet availability is the most important target area for improvement related to sustainable logistics policy.

Suggested Citation

  • Önsel Ekici, Şule & Kabak, Özgür & Ülengin, Füsun, 2016. "Linking to compete: Logistics and global competitiveness interaction," Transport Policy, Elsevier, vol. 48(C), pages 117-128.
    • Handle: RePEc:eee:trapol:v:48:y:2016:i:c:p:117-128
    DOI: 10.1016/j.tranpol.2016.01.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X1630021X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2016.01.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christian Hakulinen & Mirka Hintsanen & Marcus R. Munafò & Marianna Virtanen & Mika Kivimäki & G. David Batty & Markus Jokela, 2015. "Personality and Smoking: Individual-Participant Meta-Analysis of 9 Cohort Studies," SOEPpapers on Multidisciplinary Panel Data Research 783, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Nguyen, Hong-Oanh & Tongzon, Jose, 2010. "Causal nexus between the transport and logistics sector and trade: The case of Australia," Transport Policy, Elsevier, vol. 17(3), pages 135-146, May.
    3. Elgazzar, Sara H. & Tipi, Nicoleta S. & Hubbard, Nick J. & Leach, David Z., 2012. "Linking supply chain processes’ performance to a company’s financial strategic objectives," European Journal of Operational Research, Elsevier, vol. 223(1), pages 276-289.
    4. Kalogirou, S.A. & Mathioulakis, E. & Belessiotis, V., 2014. "Artificial neural networks for the performance prediction of large solar systems," Renewable Energy, Elsevier, vol. 63(C), pages 90-97.
    5. Hruschka, Harald, 1993. "Determining market response functions by neural network modeling: A comparison to econometric techniques," European Journal of Operational Research, Elsevier, vol. 66(1), pages 27-35, April.
    6. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    7. Hooi Lean, Hooi & Huang, Wei & Hong, Junjie, 2014. "Logistics and economic development: Experience from China," Transport Policy, Elsevier, vol. 32(C), pages 96-104.
    8. Hwarng, H. Brian & Ang, H. T., 2001. "A simple neural network for ARMA(p,q) time series," Omega, Elsevier, vol. 29(4), pages 319-333, August.
    9. Jean-François Arvis & Monica Alina Mustra & Lauri Ojala & Ben Shepherd & Daniel Saslavsky, 2012. "Connecting to Compete 2012 : Trade Logistics in the Global Economy," World Bank Publications - Reports 12689, The World Bank Group.
    10. Chen, Natalie & Novy, Dennis, 2011. "Gravity, trade integration, and heterogeneity across industries," Journal of International Economics, Elsevier, vol. 85(2), pages 206-221.
    11. Özgür Kabak & Da Ruan, 2011. "A comparison study of fuzzy MADM methods in nuclear safeguards evaluation," Journal of Global Optimization, Springer, vol. 51(2), pages 209-226, October.
    12. Zaiyong Tang & Paul A. Fishwick, 1993. "Feedforward Neural Nets as Models for Time Series Forecasting," INFORMS Journal on Computing, INFORMS, vol. 5(4), pages 374-385, November.
    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. Onsel Sahin, Sule & Ulengin, Fusun & Ulengin, Burc, 2004. "Using neural networks and cognitive mapping in scenario analysis: The case of Turkey's inflation dynamics," European Journal of Operational Research, Elsevier, vol. 158(1), pages 124-145, October.
    2. Kabak, Özgür & Ülengin, Füsun & Önsel Ekici, Şule, 2018. "Connecting logistics performance to export: A scenario-based approach," Research in Transportation Economics, Elsevier, vol. 70(C), pages 69-82.
    3. Ülengin, Füsun & Önsel, Sule & Ilker Topçu, Y. & Aktas, Emel & Kabak, Özgür, 2007. "An integrated transportation decision support system for transportation policy decisions: The case of Turkey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 80-97, January.
    4. Önsel, Sule & Ülengin, Füsun & Ulusoy, Gündüz & Aktas, Emel & Kabak, Özgür & Topcu, Y. Ilker, 2008. "A new perspective on the competitiveness of nations," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 221-246, December.
    5. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Aktas, Emel & Parker, Barnett R., 2011. "The competitiveness of nations and implications for human development," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 16-27, March.
    6. Huck, Nicolas, 2009. "Pairs selection and outranking: An application to the S&P 100 index," European Journal of Operational Research, Elsevier, vol. 196(2), pages 819-825, July.
    7. John C. Beghin & Heidi Schweizer, 2021. "Agricultural Trade Costs," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 500-530, June.
    8. Kabak, Özgür & Önsel Ekici, Şule & Ülengin, Füsun, 2020. "Analyzing two-way interaction between the competitiveness and logistics performance of countries," Transport Policy, Elsevier, vol. 98(C), pages 238-246.
    9. Ioannis Katrakylidis & Michael Madas, 2020. "Catching-up effects in the logistics industry and the dynamic linkages with international trade and economic growth: empirical evidence from an international panel dataset," Economics and Business Letters, Oviedo University Press, vol. 9(3), pages 197-205.
    10. Qi, Min & Yang, Sha, 2003. "Forecasting consumer credit card adoption: what can we learn about the utility function?," International Journal of Forecasting, Elsevier, vol. 19(1), pages 71-85.
    11. 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.
    12. Shepherd, Ben, 2011. "Logistics costs and competitiveness: measurement and trade policy applications," MPRA Paper 38254, University Library of Munich, Germany.
    13. Huck, Nicolas, 2010. "Pairs trading and outranking: The multi-step-ahead forecasting case," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1702-1716, December.
    14. Luisa Martí & Rosa Puertas, 2017. "The importance of export logistics and trade costs in emerging economies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 315-333, June.
    15. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    16. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    17. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    18. Andrei A Levchenko & Jing Zhang, 2013. "The Global Labor Market Impact of Emerging Giants: A Quantitative Assessment," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(3), pages 479-519, August.
    19. Peter J. Rimmer, 2014. "Asian-Pacific Rim Logistics," Books, Edward Elgar Publishing, number 12949.
    20. Zoran Vojinovic & Vojislav Kecman & Rainer Seidel, 2001. "A data mining approach to financial time series modelling and forecasting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(4), pages 225-239, December.

    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:eee:trapol:v:48:y:2016:i:c:p:117-128. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.