| Makale Bilgileri |
| Dergi: |
Business and Economics Research Journal |
| Makalenin Başlığı: |
Clustering Countries on Logistics Performance and Carbon Dioxide (CO2) Emission Efficiency: An Empirical Analysis |
| Yazar(lar): |
Mustafa Polat, Karahan Kara, Galip Cihan Yalçın |
| Cilt: |
13 |
| Sayı: |
2 |
| Yıl: |
2022 |
| Sayfa: |
221-238 |
| ISSN: |
2619-9491 |
| DOI Numarası: |
10.20409/berj.2022.370 |
|
| Öz |
| The logistics industry is among the industries that affect carbon dioxide emissions. The logistics activities of the countries produce CO2 emissions. For this reason, there is a significant relationship between the logistics performance of countries and their CO2 emissions. In this study, it is aimed to make a cluster analysis by considering the CO2 emission per capita efficiency of the countries and their logistics performance. The empirical study was completed in three stages. In the first stage, hierarchical clustering analysis was conducted with the logistics performances of the countries and the CO2 emission per capita. In the second stage, the CO2 emission per capita efficiency based on the logistics performance sub-indicators of the countries were determined by data envelopment analysis. In the third stage, non-hierarchical clustering analysis was performed with the variables of logistics performances and CO2 emission per capita efficiency of the countries. 2018 logistics performance index (LPI) and CO2 emission per capita data of 150 countries were used. According to the research findings, there are differences in the findings of hierarchical clustering analysis and non-hierarchical clustering analysis. In the conclusion part of the study, the differences between the clusters were explained and suggestions were developed for the researchers. |
| Anahtar Kelimeler: |
Logistics Performance, Carbon Dioxide (CO2) Emission, Hierarchical Clustering Analysis, Non-Hierarchical Clustering Analysis, Data Envelopment Analysis |
|
| JEL Sınıflandırması: |
M10, M20 |
|
