IDEAS home Printed from https://ideas.repec.org/a/ris/buecrj/0591.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.berjournal.com/tr/clustering-countries-on-logistics-performance-and-carbon-dioxide-co2-emission-efficiency-an-empirical-analysis
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:buecrj:0591. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adem Anbar (email available below). General contact details of provider: https://edirc.repec.org/data/iiulutr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.