Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)

Data envelopment analysis (DEA) is used to assess the efficiency of 15 container terminals in Africa. The models proposed by Charnes, Cooper and Rhodes (1978) and Banker, Charnes and Cooper (1984) are used to determine and rank the efficiencies of the container terminals for 2013 and 2014. The resul...

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Main Authors: Mienie, Barend Jacobus, Brettenny, Warren
Format: Others
Language:English
Published: Nelson Mandela Metropolitan University 2016
Subjects:
Online Access:http://hdl.handle.net/10948/12054
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-nmmu-vital-270262017-12-21T04:22:32ZAssessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)Mienie, Barend JacobusBrettenny, WarrenData envelopment analysis -- AfricaEmployees -- Rating of -- AfricaData envelopment analysis (DEA) is used to assess the efficiency of 15 container terminals in Africa. The models proposed by Charnes, Cooper and Rhodes (1978) and Banker, Charnes and Cooper (1984) are used to determine and rank the efficiencies of the container terminals for 2013 and 2014. The results show that selected South African container terminals can improve on their operations relative to some of their neighbours to the North. Bootstrapping methods are used to investigate and clarify the results. The Malmquist Productivity Index (MPI) model is used to track and explain changes in efficiency over the period of assessment.Nelson Mandela Metropolitan UniversityFaculty of Science2016ThesisMastersMComx, 102 leavespdfhttp://hdl.handle.net/10948/12054vital:27026EnglishNelson Mandela Metropolitan University
collection NDLTD
language English
format Others
sources NDLTD
topic Data envelopment analysis -- Africa
Employees -- Rating of -- Africa
spellingShingle Data envelopment analysis -- Africa
Employees -- Rating of -- Africa
Mienie, Barend Jacobus
Brettenny, Warren
Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
description Data envelopment analysis (DEA) is used to assess the efficiency of 15 container terminals in Africa. The models proposed by Charnes, Cooper and Rhodes (1978) and Banker, Charnes and Cooper (1984) are used to determine and rank the efficiencies of the container terminals for 2013 and 2014. The results show that selected South African container terminals can improve on their operations relative to some of their neighbours to the North. Bootstrapping methods are used to investigate and clarify the results. The Malmquist Productivity Index (MPI) model is used to track and explain changes in efficiency over the period of assessment.
author Mienie, Barend Jacobus
Brettenny, Warren
author_facet Mienie, Barend Jacobus
Brettenny, Warren
author_sort Mienie, Barend Jacobus
title Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
title_short Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
title_full Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
title_fullStr Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
title_full_unstemmed Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
title_sort assessing the productivity of selective container terminals in africa using data envelopment analysis (dea)
publisher Nelson Mandela Metropolitan University
publishDate 2016
url http://hdl.handle.net/10948/12054
work_keys_str_mv AT mieniebarendjacobus assessingtheproductivityofselectivecontainerterminalsinafricausingdataenvelopmentanalysisdea
AT brettennywarren assessingtheproductivityofselectivecontainerterminalsinafricausingdataenvelopmentanalysisdea
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