The impact of logistics performance index on port infrastructure quality: comparative study Tunisia Morocco

Authors

  • Rahid Ben Haj Ahmed Faculty of Economics and Management of Sousse, Sousse Author https://orcid.org/0000-0001-9776-6990
  • Aida Bouzir Higher Institute of Transport and Logistics, Sousse Author https://orcid.org/0000-0002-6839-1250
  • Mohamed Heidi Benhadj Mbarek Higher Institute of Transport and Logistics, Sousse Author
  • Saloua Benammou Faculty of Economics and Management of Sousse, Sousse Author

DOI:

https://doi.org/10.5604/01.3001.0053.7212

Keywords:

port infrastructure, logistics performance, economic growth, PLS regression, Marocco, Tunisia

Abstract

This scientific article examines the relationship between logistics performance indices and port infrastructure quality in Tunisia and Morocco. The quality of port infrastructure (QPI) is an important component of the competitiveness port. It represents a driving force for the economic dynamics. This quality of port infrastructure is a complex subject on which a great deal of research has emerged in the last decade. The logistics performance index (LPI) serves as a crucial indicator to assess the efficiency and effectiveness of a country's logistics system. Accordingly, this paper aims to develop a model for assessing the quality of port infrastructure. The objective is to evaluate the development of port infrastructure to improve the competitiveness of port systems in two North African countries according to nine competitiveness criteria. The analysis involves statistical techniques such as regression modeling to establish relationships. The partial least squares (PLS) regression method is adopted to obtain a reliable estimate, using nine explanatory variables :(performance indicators) (overall, the frequency with which shipments reach their recipient within the set deadlines, The efficiency of customs clearance process, ease of arranging competitively priced shipments, Lead time to import, Lead time to export, competence and quality of logistics services, Liner Shipping Connectivity Index, Container port traffic) and quality of the port infrastructure (QPI) as dependent variable. The results of the analysis highlight the influence of logistics performance indices on port infrastructure quality in Tunisia and Morocco. The results of the test the model using the partial least squares, confirm a significant influence of the identified factors on the quality of port infrastructure. It found show that it is vital to improve logistics performance, which contributes to improving the quality of port infrastructure and increasing maritime trade; which promotes economic growth. Based on the results concerning the importance of port infrastructures, the quality of the latter is empirically examined. Our results show that Morocco tends to improve the quality of its infrastructure in order to improve its competitiveness. The originality of this research work consists in using the PLS (the partial least squares) regression method, which is contrary to previous studies, which have used other econometric methods in the same study field.

References

Abbes, S., (2015). Seaport competitiveness: a comparative empirical analysis between North and West African countries using principal component analysis, Int. J. Transp. Econ, 42 (3), 289-314.

Al-Haddad, B., Chuman, M., Kouki, R., (2021). Clearance process and its effect on the supply chain performance in jeddah port, PalArch’s Journal of Archaeology of Egypt / Egyptology, 18(12), 31-39.

Aminatou, M., Jaqi, Y., Okyere, S., (2018). Evaluating the impact of long cargo dwell time on port performance: an evaluation model of Douala International Terminal in Cameroon, Archives of Transport, 46(2), 7-20.

Agence Nationale des Ports., (2020) (a), Activité portuaire, cumul Avril 2019-2020. 40 p., en ligne: https://bit.ly/2Zibh3A.

Arvis, J.F., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A., (2014). Connecting to Compete 2014. Trade Logistics in the Global Economy. The Logistics Performance Index and Its indicators.

Bottasso, A., Conti, M., Ferrari, C., Tei, A., (2014). Ports and regional development: a spatial analysis on a panel of European regions. Transp Res A Policy Pract, 65, 44-55.

Chi lok Andrew, Y., Anming, Z., Waiman, C.H., (2012). Port competitiveness from the user’s perspective: An analysis of major container ports in China and its neighboring countries, Research in transportation economics, 35, 34-40.

Chauffour, J., (2018). Morocco 2040: Emerging by Investing in Intangible Capital, Directions in Development, World Bank.

Durán, C.A., Córdov, F.M., Palominos, F., (2018). Method for improving critical strategic and operational success factors in a port system, Procedia Computer Science, 139, 448-455.

De Langen, P.W., (2007). Port competition and selection in contestable hinterlands: the case of Austria, European Journal of Transport and Infrastructure Research, 7 (1), 1-14.

El-Mahdad, H., (2020). Le système portuaire marocain en situation de crise sanitaire : Quelles réactivités en phase de prolifération du Covid-19 ?, Revue Internationale des Sciences de Gestion, 3 (3), 348-365.

Ferrari, C., Percoco, M., Tedeschi, A., (2010). Ports and local development: evidence from Italy, Int J Transport Econ, 37(1), 9-30.

Foster, V., Briceño-Garmendia, C., (2010). Infrastructures africaines, une transformation impérative, Washington, D.C, Pearson, 344.

Hales, D., Lam, J.S.L., Chang, Y.T., (2015). The Balanced Theory of Port competitiveness, Transportation Journal.

Hausman, W.H., Lee, H.L., Subramanian, U., (2013). The impact of logistics performance on trade, Prod Oper Manag, 22(2), 236-252.

Hathikal, S., Chung, S.H., Karczewski, M., (2020). Prediction of ocean import shipment lead-time using machine learning methods, SN Applied Sciences, 2:7.

Helling, A., Poister, T.H., (2000). US maritime ports: trends, policy implications, and research needs. Econ Dev Q, 14(3), 300-317.

Hummels, (2006). Trading on Time by Djankov, Freund and Pham.

Jouili, T.A., (2019). Determinants of Liner Shipping Connectivity. Int. J. Adv. Appl. Sci, 6, 5-10.

Kaufmann, L., Gaeckler, J., (2015). A structured review of partial least squares in supply chain management research. Journal of Purchasing and Supply Management, 21, 259-272.

Komorčec, D., Matika, D., (2016). Small crafts role in maritime traffic and detection by technology integration, Pomorstvo, 30(1), 3-11.

Memedovic, O., Ojala, L., Rodrigue, J-P., Naula, T., (2008). Fuelling the global value chains: what role for logistics capabilities?, International Journal of Technological Learning. Innov. Dev, 1(3), 353-374.

Ministère d’Equipement, de Transport et de la logistique, (2013-2016), Etude sur la Stratégie du Secteur du Transport Maritime Marocain et le développement du Pavillon National au Maroc. Direction de la Marine Marchande, Réalisée par ALG, 167 p.

Munim, Z.H, Schramm, H.J., (2018). The impacts of port infrastructure and logistics performance on economic growth: the mediating role of seaborne trade, J. shipp. trd. 3, 1.

Onut, S., Tuzkaya, U. R., Torun, E., (2011). Selecting container port via a fuzzy ANP-based approach: A case study in the Marmara Region, Turkey, Transport Policy, 18 (1), 182-193.

Olufemi, A. K., Nkechi, O. G., Ejem, E. A. (2021). Development of Port Infrastructure and Service Quality in Nigerian Ports, Journal of Research in Humanities and Social Science, 9 (6), 25-32.

Park, J.S., Seo, Y.J., (2016). The impact of sea ports on the regional economies in South Korea: panel evidence from the augmented Solow model, Transport Res E-Log, 85, 107-119.

Peng, D. X., & Lai, F., (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30, 467-480.

Sanchez, R.J., Hoffman, J. et al., (2003). Port efficiency and international trade: port efficiency as a determinant of maritime transport costs, Maritime Economics and Logistics, 5, 199-218.

Sénquiz-Díaz, C. (2021). Transport infrastructure quality and logistics performance in exports. Economics, 9(1), 107-124.

Duzbaievna Sharapiyeva, M., Antoni, A., Yessenzhigitova, R. (2019). The impact of port transport-logistics infrastructure and LPI for economic growth: on the example of land-locked countries. Pomorstvo, 33(1), 63-75.

Song, D.W., (2004). A competitive analysis of Chinese container ports using the analytic hierarchy process, Maritime Economics & Logistics, 6 (1), 34-52.

Taghizadeh-Hesary, F., Sarker, T., Yoshino, N., Mortha, A., Vo, X. V. (2021). Quality infrastructure and natural disaster resiliency: A panel analysis of Asia and the Pacific. Economic Analysis and Policy, 69, 394-406.

Tenenhaus, M., Gauchi, J.P., Ménardo, C., (1995). Régression PLS et Application, Revue de Statistique Appliquée, XLIII (3), 7-63.

Tenenhaus, M., (1995). Nouvelles Méthodes de Régression PLS, Les Cahiers de Recherche, CR 540. [36] Tovar, B., Wall, A., (2022). The relationship between port-level maritime connectivity and efficiency, Journal of Transport Geography, vol. 98, issue C.

Tongzon, J.L., (2009). Port choice & freight forwarders, Transportation Research Part E, 45 (1), 186-95. [38] Tongzon, J.L., (2001). Efficiency Measurement of Selected Australian & Other International Ports Using Data Envelopment Analysis, Transportation Research Part A, 35(2), 107- 122.

Tourret, P., (2020), Pandémie planétaire, premiers effets maritimes. ISEMAR, Note de synthèse, n° 202, Mai 2020, 4 p. [40] Toy, N., Roe, M., (2000). Transport infrastructure investment and its impact upon port choice, Archives of Transport, 12 (2), 79-89.

Ugboma, C., Ugboma, O., Ogwude, I.C., (2006). An analytic hierarchy process (AHP) approach to port selection decisions-empirical evidence from Nigerian ports, Maritime Economics & Logistics, 8(3), 251-266.

World Bank. (2021). World Development Indicators 2021.

World Bank. (2021). Logistics Performance Index.

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Published

2023-09-30

Issue

Section

Original articles

How to Cite

Ben Haj Ahmed, R., Bouzir, A., Benhadj Mbarek, M. H., & Benammou, S. (2023). The impact of logistics performance index on port infrastructure quality: comparative study Tunisia Morocco. Archives of Transport, 67(3), 71-89. https://doi.org/10.5604/01.3001.0053.7212

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