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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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 |
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English |
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Others
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Data envelopment analysis -- Africa Employees -- Rating of -- Africa |
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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 |
_version_ |
1718564702626250752 |