CO2 emissions and logistics performance: a composite index proposal

By E. Mariano, Jose Alcides Gobbo, F. C. Camioto, D. Rebelatto. 2017

132 citations recorded by the source corpus.

Abstract The importance of good logistics performance for low/no fossil-carbon economies is widely recognized, especially because the transport sector is responsible for a substantial portion of the world's greenhouse gas emissions. This research evaluates efficiency in the relationship between transport logistics performance, as measured by the Logistics Performance Index (LPI), and CO 2 emissions from the transport sector. The slacks-based measure (SBM) of the data envelopment analysis (DEA) was used to construct a low carbon logistics performance index (LCLPI) ranking a group of 104 countries that were selected using the available data. The empirical model adopted one input (CO 2 emissions for the transport sector) and seven outputs (gross domestic product [GDP] and the six components of the LPI). GDP has been included as a non-discretionary output because CO 2 emissions are directly dependent on a country's economic production, while the LPI is a qualifier. To evaluate how the composite index evolved over time, we used an approach that combines the techniques of window analysis and the Malmquist index. Considering the DEA results, the countries that performed best in terms of the LCLPI were Japan, Germany, Togo, Benin, and the United States and the more evolved countries were Luxemburg, Ireland, Lebanon, and Honduras. For the purposes of LCLPI validation and analysis, the performances of the BRICS (Brazil, Russia, India, China and South Africa) countries were analyzed, especially China, which is the world's second largest CO 2 emitter. The proposed composite index and the ranking of countries in terms of logistics performance and CO 2 emissions can help identify the best performing countries in low carbon logistics.

Subfields: Building and Construction, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/8aaee99e78e438607137e4017d64c95a38c10a1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Lori Tavasszy

In Management Science and Operations Research

1. W. S. V. Roekel
2. Lori Tavasszy
3. Jafar Rezaei
4. Dragan Pamucar
5. Seyed Jafar Sadjadi
6. Mahdi Karimi
7. Himanshu Gupta
8. Majid Mohammadi

In Strategy and Management

1. W. S. V. Roekel
2. Jafar Rezaei
3. Lori Tavasszy

Citations in the corpus

• Measuring the relative importance of the logistics performance index indicators using Best Worst Method (2018, background): “There is empirical support in literature on the relationship between the performance of a company and its environmental practices (Goldsby and Stank, 2000; Rao and Holt, 2005) and, more recently also at the level of individual countries (Mariano et al., 2017).”