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Logistics sector development potential of world's oil exporters

Logistics sector development potential of world's oil exporters Purpose – Oil exporters have been identified as having problems in the friendliness and performance of their logistics sector, particularly in general cargo group. The purpose of this research is to identify, through proposed data envelopment analysis (DEA) models, those oil exporters with most potential to develop (who have resources for this through their economic prosperity). Benchmarks of improvement are not only identified among top oil exporters, but also from larger group of emerging countries. Design/methodology/approach – The research uses two different DEA models, and quantitative data available from economic prosperity and general cargo logistics performance. Models are input oriented, and use the most recent data from year 2009. Findings – Major oil exporters are not homogeneous group in their performance turning logistics competence on prosperity. Actually, there could be one group of very low performance identified in general cargo logistics performance as compared to the DEA models, and other group with similar or slightly above performance with general cargo handling. Those performing at the lower end, and with most development potential, include such countries as Russia, Venezuela, Algeria, Qatar, Azerbaijan and Turkmenistan (possibly also including Iran, Kuwait and UAE). From the group of major oil exporters, these countries should learn exceptional logistics competence from Malaysia and Canada. Similarly, this research shows that the emerging economies, particularly China, but also India as well as Philippines, Thailand and South Africa are useful benchmarks to develop general cargo logistics performance further (to some extent Korea (South), Taiwan, Czech Republic, Poland, Turkey and Lebanon also could be included). Research limitations/implications – The research is not based on longitudinal data, and should be enlarged to take into account earlier logistics performance index ratings from the World Bank studies (year 2007); this not only to verify the results, but also to highlight possible progress in the development of the logistics sector. Also, other global logistics performance ratings (e.g. from infrastructure) should be taken into account, and DEA models be developed further (often infrastructure drives other layers of performance). Originality/value – Research work is seminal to study in respect to identifying which countries “lower performing oil producers” include, and which have potential in better developing their logistics sector (general cargo). Among this, research also proposes benchmarks for these countries, not only among oil exporters, but also from other emerging economies. The research findings give a unique and fresh perspective on the logistics performance of oil exporters and emerging economies in general. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Energy Sector Management Emerald Publishing

Logistics sector development potential of world's oil exporters

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References (39)

Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1750-6220
DOI
10.1108/17506221111146011
Publisher site
See Article on Publisher Site

Abstract

Purpose – Oil exporters have been identified as having problems in the friendliness and performance of their logistics sector, particularly in general cargo group. The purpose of this research is to identify, through proposed data envelopment analysis (DEA) models, those oil exporters with most potential to develop (who have resources for this through their economic prosperity). Benchmarks of improvement are not only identified among top oil exporters, but also from larger group of emerging countries. Design/methodology/approach – The research uses two different DEA models, and quantitative data available from economic prosperity and general cargo logistics performance. Models are input oriented, and use the most recent data from year 2009. Findings – Major oil exporters are not homogeneous group in their performance turning logistics competence on prosperity. Actually, there could be one group of very low performance identified in general cargo logistics performance as compared to the DEA models, and other group with similar or slightly above performance with general cargo handling. Those performing at the lower end, and with most development potential, include such countries as Russia, Venezuela, Algeria, Qatar, Azerbaijan and Turkmenistan (possibly also including Iran, Kuwait and UAE). From the group of major oil exporters, these countries should learn exceptional logistics competence from Malaysia and Canada. Similarly, this research shows that the emerging economies, particularly China, but also India as well as Philippines, Thailand and South Africa are useful benchmarks to develop general cargo logistics performance further (to some extent Korea (South), Taiwan, Czech Republic, Poland, Turkey and Lebanon also could be included). Research limitations/implications – The research is not based on longitudinal data, and should be enlarged to take into account earlier logistics performance index ratings from the World Bank studies (year 2007); this not only to verify the results, but also to highlight possible progress in the development of the logistics sector. Also, other global logistics performance ratings (e.g. from infrastructure) should be taken into account, and DEA models be developed further (often infrastructure drives other layers of performance). Originality/value – Research work is seminal to study in respect to identifying which countries “lower performing oil producers” include, and which have potential in better developing their logistics sector (general cargo). Among this, research also proposes benchmarks for these countries, not only among oil exporters, but also from other emerging economies. The research findings give a unique and fresh perspective on the logistics performance of oil exporters and emerging economies in general.

Journal

International Journal of Energy Sector ManagementEmerald Publishing

Published: Jun 28, 2011

Keywords: Data envelopment analysis; Benchmarking; Oil industry; Emerging economies; Logistics; Export markets

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