International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 6, Issue 11 (November 2019), Pages: 5-10

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 Original Research Paper

 Title: Determinants of liner shipping connectivity

 Author(s): Tahar Ammar Jouili *

 Affiliation(s):

 College of Business Administration, Northern Border University, Arar, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-0843-4674

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.11.002

 Abstract:

The study of shipping connectivity has taken more attention from researchers in recent years. This paper analyzes the determinants of liner shipping connectivity for a sample of 100 maritime countries. By means of the Technical panel two types of estimation were led to detect the determinants of the Liner Shipping Connectivity. A global analysis was led in a first stage. A second analysis based on a geographical decomposition was also led for the same reason. The main examined maritime regions are The Mediterranean Sea, Red Sea, North Sea, Arabian Gulf, and the Caribbean Sea. The UNCTAD’s database over the period 2007-2014 was used. UNCTAD’s Liner Shipping Connectivity Index is the endogenous variable. Ten explanatory variables are used to explain the variation of the LSCI. Among it, six variables represent the logistic performance. The fourth rest variables are container transit time, container transport cost, the gross domestic product, and containers per capita. This study could be used to explain the density level of liner shipping connectivity between countries in a global and a regional context. Results show that all explanatory variables have a positive impact on the liner shipping connectivity, but with obvious differences in studied maritime regions worldwide. Findings can help decision-makers to determine the priorities for future investments in the maritime sector and the related activities. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Liner shipping connectivity, Logistics performance, Container transit times, Container transport costs, Seaport

 Article History: Received 16 May 2019, Received in revised form 20 August 2019, Accepted 21 August 2019

 Acknowledgement:

The author would like to thank the Northern Border University (Kingdom of Saudi Arabia) for supporting this work.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Jouili TA (2019). Determinants of liner shipping connectivity. International Journal of Advanced and Applied Sciences, 6(11): 5-10

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 Figures

 Fig. 1 

 Tables

 Table 1 Table 2 Table 3 

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 References (20) 

  1. Arvis JF, Saslavsky D, Ojala L, Shepherd B, Busch C, and Raj A (2014). Connecting to compete 2014: Trade logistics in the global economy. World Bank, Washington, USA. https://doi.org/10.1596/20399   [Google Scholar] PMid:24833256 PMCid:PMC4195343
  2. Fugazza M, Hoffmann J, and Razafinombana R (2015). Building a dataset for bilateral maritime connectivity. Région et Développement, 41: 101-124.   [Google Scholar]
  3. Hoffmann J (2005). Liner shipping connectivity. UNCTAD Transport Newsletter, 27(1): 4-12.   [Google Scholar]
  4. Hoffmann J (2012). Corridors of the sea: An investigation into liner shipping connectivity. Les Corridors de Transport (Sous la Direction de Yann Alix), Editions EMS, Caen, France: 263-276.   [Google Scholar]
  5. Jiang J, Lee LH, Chew EP, and Gan CC (2015). Port connectivity study: An analysis framework from a global container liner shipping network perspective. Transportation Research Part E: Logistics and Transportation Review, 73: 47-64. https://doi.org/10.1016/j.tre.2014.10.012   [Google Scholar]
  6. Low JM, Lam SW, and Tang LC (2009). Assessment of hub status among Asian ports from a network perspective. Transportation Research Part A: Policy and Practice, 43(6): 593-606. https://doi.org/10.1016/j.tra.2009.04.004   [Google Scholar]
  7. Malchow MB and Kanafani A (2004). A disaggregate analysis of port selection. Transportation Research Part E: Logistics and Transportation Review, 40(4): 317-337. https://doi.org/10.1016/j.tre.2003.05.001   [Google Scholar]
  8. Slack B (1985). Containerization, inter-port competition, and port selection. Maritime Policy and Management, 12(4): 293-303. https://doi.org/10.1080/03088838500000043   [Google Scholar]
  9. Sun Z and Zheng J (2016). Finding potential hub locations for liner shipping. Transportation Research Part B: Methodological, 93: 750-761. https://doi.org/10.1016/j.trb.2016.03.005   [Google Scholar]
  10. Tang LC, Low JM, and Lam SW (2011). Understanding port choice behavior: A network perspective. Networks and Spatial Economics, 11(1): 65-82. https://doi.org/10.1007/s11067-008-9081-8   [Google Scholar]
  11. Tiwari P, Itoh H, and Doi M (2003). Shippers' port and carrier selection behaviour in China: A discrete choice analysis. Maritime Economics and Logistics, 5(1): 23-39. https://doi.org/10.1057/palgrave.mel.9100062   [Google Scholar]
  12. Tongzon J and Heng W (2005). Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals). Transportation Research Part A: Policy and Practice, 39(5): 405-424. https://doi.org/10.1016/j.tra.2005.02.001   [Google Scholar]
  13. Tongzon JL (2009). Port choice and freight forwarders. Transportation Research Part E: Logistics and Transportation Review, 45(1): 186-195. https://doi.org/10.1016/j.tre.2008.02.004   [Google Scholar]
  14. Ugboma C, Ugboma O, and Ogwude IC (2006). An analytic hierarchy process (AHP) approach to port selection decisions: Empirical evidence from Nigerian ports. Maritime Economics and Logistics, 8(3): 251-266. https://doi.org/10.1057/palgrave.mel.9100160   [Google Scholar]
  15. UNCTAD (2015). Review of maritime transport 2014. United Nations Conference on Trade and Development, Geneva, Switzerland.   [Google Scholar]
  16. Wang GW, Zeng Q, Li K, and Yang J (2016). Port connectivity in a logistic network: The case of Bohai Bay, China. Transportation Research Part E: Logistics and Transportation Review, 95: 341-354. https://doi.org/10.1016/j.tre.2016.04.009   [Google Scholar]
  17. Wei H and Sheng Z (2017). Logistics connectivity considering import and export for Chinese inland regions in the 21st century maritime silk road by dry ports. Maritime Policy and Management, 45(1): 53-70. https://doi.org/10.1080/03088839.2017.1403052   [Google Scholar]
  18. Wilmsmeier G and Hoffmann J (2008). Liner shipping connectivity and port infrastructure as determinants of freight rates in the Caribbean. Maritime Economics and Logistics, 10(1-2): 130-151. https://doi.org/10.1057/palgrave.mel.9100195   [Google Scholar]
  19. Wilmsmeier G, Hoffmann J, and Sanchez RJ (2006). The impact of port characteristics on international maritime transport costs. Research in Transportation Economics, 16: 117-140. https://doi.org/10.1016/S0739-8859(06)16006-0   [Google Scholar]
  20. Zaman MB, Vanany I, and Awaluddin KD (2015). Connectivity analysis of port in Eastern Indonesia. Procedia Earth and Planetary Science, 14: 118-127. https://doi.org/10.1016/j.proeps.2015.07.092   [Google Scholar]