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Linking to compete: Logistics and global competitiveness interaction

Author

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  • 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
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    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.
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