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Clustering Countries on Logistics Performance and Carbon Dioxide (CO2) Emission Efficiency: An Empirical Analysis

Author

Listed:
  • Polat, Mustafa

    (OSTIM Technical University)

  • Kara, Karahan

    (Artvin Coruh University)

  • Yalcin, Galip Cihan

    (Kirikkale University)

Abstract

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.

Suggested Citation

  • Polat, Mustafa & Kara, Karahan & Yalcin, Galip Cihan, 2022. "Clustering Countries on Logistics Performance and Carbon Dioxide (CO2) Emission Efficiency: An Empirical Analysis," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 13(2), pages 221-238, April.
    • Handle: RePEc:ris:buecrj:0591
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    Citations

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    Cited by:

    1. Mengyao Xia & Bangzhu Zhu & Helen Huifen Cai, 2023. "Does duration of team governance decrease corporate carbon emission intensity," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1363-1388, May.
    2. Yixuan Huang & Mingfei Liu, 2023. "Coupling Coordination and Spatiotemporal Evolution of Low-Carbon Logistics, Industrial Agglomeration, and Regional Economy in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(22), pages 1-23, November.
    3. Ana Lorena Jiménez-Preciado & Salvador Cruz-Aké & Francisco Venegas-Martínez, 2024. "Identification of Patterns in CO 2 Emissions among 208 Countries: K-Means Clustering Combined with PCA and Non-Linear t -SNE Visualization," Mathematics, MDPI, vol. 12(16), pages 1-18, August.

    More about this item

    Keywords

    Logistics Performance; Carbon Dioxide (CO2) Emission; Hierarchical Clustering Analysis; Non-Hierarchical Clustering Analysis; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General

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