Green Transportation and Logistics Performance: An Improved Composite Index
This article constructs an environmental logistics performance index (ELPI) for assessing the overall performance in green transportation and logistics practices of 112 countries. The index is measured by logistics performance index (LPI), CO<sub>2</sub> emissions and oil consumption fro...
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doaj-b27243acee4242a3a5c421e6d18151372020-11-24T22:26:29ZengMDPI AGSustainability2071-10502019-05-011110297610.3390/su11102976su11102976Green Transportation and Logistics Performance: An Improved Composite IndexMingxuan Lu0Ruhe Xie1Peirong Chen2Yifeng Zou3Jie Tang4School of Economics and Statistics, Guangzhou University, Guangzhou 510006, ChinaSchool of Management, Guangzhou University, Guangzhou 510006, ChinaSchool of Economics and Statistics, Guangzhou University, Guangzhou 510006, ChinaSchool of Management, Guangzhou University, Guangzhou 510006, ChinaSchool of Management, Guangzhou University, Guangzhou 510006, ChinaThis article constructs an environmental logistics performance index (ELPI) for assessing the overall performance in green transportation and logistics practices of 112 countries. The index is measured by logistics performance index (LPI), CO<sub>2</sub> emissions and oil consumption from the transport sector, using a range-adjusted measure (RAM) of the data envelopment analysis (DEA). ELPI effectively reflects the tradeoff between logistics efficiency and environmental protection in transportation. This article analyzes the impact of income and region on ELPI scores and discusses those countries’ reduction potential in oil consumption intensity and carbon intensity. The main finding of the research work is that ELPI is strongly correlated with LPI, and countries with high performance in LPI generally perform well in ELPI. Similar to the characteristics of LPI, ELPI is also closely related to income and region. During our study period, high income countries performed best, while Sub-Saharan Africa countries performed worst. However, some exceptions such as Venezuela, RB and Benin, indicate that the level of development of logistics performance and green transportation can outperform or lag behind their income or region group peers.https://www.mdpi.com/2071-1050/11/10/2976transportationlogistics performance indexCO<sub>2</sub> emissionsoil consumptiondata envelopment analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mingxuan Lu Ruhe Xie Peirong Chen Yifeng Zou Jie Tang |
spellingShingle |
Mingxuan Lu Ruhe Xie Peirong Chen Yifeng Zou Jie Tang Green Transportation and Logistics Performance: An Improved Composite Index Sustainability transportation logistics performance index CO<sub>2</sub> emissions oil consumption data envelopment analysis |
author_facet |
Mingxuan Lu Ruhe Xie Peirong Chen Yifeng Zou Jie Tang |
author_sort |
Mingxuan Lu |
title |
Green Transportation and Logistics Performance: An Improved Composite Index |
title_short |
Green Transportation and Logistics Performance: An Improved Composite Index |
title_full |
Green Transportation and Logistics Performance: An Improved Composite Index |
title_fullStr |
Green Transportation and Logistics Performance: An Improved Composite Index |
title_full_unstemmed |
Green Transportation and Logistics Performance: An Improved Composite Index |
title_sort |
green transportation and logistics performance: an improved composite index |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2019-05-01 |
description |
This article constructs an environmental logistics performance index (ELPI) for assessing the overall performance in green transportation and logistics practices of 112 countries. The index is measured by logistics performance index (LPI), CO<sub>2</sub> emissions and oil consumption from the transport sector, using a range-adjusted measure (RAM) of the data envelopment analysis (DEA). ELPI effectively reflects the tradeoff between logistics efficiency and environmental protection in transportation. This article analyzes the impact of income and region on ELPI scores and discusses those countries’ reduction potential in oil consumption intensity and carbon intensity. The main finding of the research work is that ELPI is strongly correlated with LPI, and countries with high performance in LPI generally perform well in ELPI. Similar to the characteristics of LPI, ELPI is also closely related to income and region. During our study period, high income countries performed best, while Sub-Saharan Africa countries performed worst. However, some exceptions such as Venezuela, RB and Benin, indicate that the level of development of logistics performance and green transportation can outperform or lag behind their income or region group peers. |
topic |
transportation logistics performance index CO<sub>2</sub> emissions oil consumption data envelopment analysis |
url |
https://www.mdpi.com/2071-1050/11/10/2976 |
work_keys_str_mv |
AT mingxuanlu greentransportationandlogisticsperformanceanimprovedcompositeindex AT ruhexie greentransportationandlogisticsperformanceanimprovedcompositeindex AT peirongchen greentransportationandlogisticsperformanceanimprovedcompositeindex AT yifengzou greentransportationandlogisticsperformanceanimprovedcompositeindex AT jietang greentransportationandlogisticsperformanceanimprovedcompositeindex |
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1725753444833165312 |