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Efficiency in Nigerian ports: handling imprecise data with a two-stage fuzzy approach

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  • Peter Wanke
  • Obioma R. Nwaogbe
  • Zhongfei Chen

Abstract

This article is focused on assessing the efficiency of six major Nigerian ports from 2007 to 2013 by applying a two-stage fuzzy-based methodology adequate to handle imprecise data. More precisely, fuzzy data envelopment analysis models for traditional assumptions with respect to scale returns are employed to assess the productivity of Nigerian ports over the course of time. In the second stage, fuzzy regressions based on different rule-based systems are used to predict the relationship of a set of contextual variables on port efficiency. These contextual variables are related to different aspects of port service level, berth utilization, accessibility, cargo type, and operator type. The results reveal the impact of operator and cargo type on efficiency levels. Policy implications for Nigerian ports are derived.

Suggested Citation

  • Peter Wanke & Obioma R. Nwaogbe & Zhongfei Chen, 2018. "Efficiency in Nigerian ports: handling imprecise data with a two-stage fuzzy approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(5), pages 699-715, July.
    • Handle: RePEc:taf:marpmg:v:45:y:2018:i:5:p:699-715
    DOI: 10.1080/03088839.2017.1410588
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    Cited by:

    1. Dineswary Nadarajan & Saber Abdelall Mohamed Ahmed & Noor Fadiya Mohd Noor, 2023. "Seaport Network Efficiency Measurement Using Triangular and Trapezoidal Fuzzy Data Envelopment Analyses with Liner Shipping Connectivity Index Output," Mathematics, MDPI, vol. 11(6), pages 1-27, March.
    2. Eren Salihoglu & Elif Bal Beşikçi, 2022. "Waiting reasons affecting the handling process at liquid bulk terminals," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-15, December.

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