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

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 em...

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Bibliographic Details
Published inMaritime policy and management Vol. 45; no. 5; pp. 699 - 715
Main Authors Wanke, Peter, Nwaogbe, Obioma R., Chen, Zhongfei
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis Ltd 04.07.2018
Subjects
Berthing
Cargo
Data
Data analysis
Data envelopment analysis
Efficiency
Fuzzy systems
Handling
Operations research
Policies
Ports
Productivity
Regression analysis
Nigeria
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Summary: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.
ISSN:0308-8839
1464-5254
DOI:10.1080/03088839.2017.1410588