Clustering countries on logistics performance and carbon dioxide (CO2) emission efficiency: an empirical analysis

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dc.authorid0000-0003-2187-2820en_US
dc.authoridKarahan Kara / 0000-0002-1359-0244en_US
dc.authorid0000-0001-9348-0709en_US
dc.contributor.authorPolat, Mustafa
dc.contributor.authorKara, Karahan
dc.contributor.authorYalçın, Galip Cihan
dc.date.accessioned2022-12-13T12:31:58Z
dc.date.available2022-12-13T12:31:58Z
dc.date.issued2022
dc.departmentAÇÜ, Hopa Meslek Yüksekokulu, Yönetim ve Organizasyon Bölümüen_US
dc.description.abstractThe 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 nonhierarchical clustering analysis. In the conclusion part of the study, the differences between the clusters were explained and suggestions were developed for the researchers.
dc.identifier.citationPolat, M., Kara, K., & Yalcin, G. C. (2022). Clustering Countries on Logistics Performance and Carbon Dioxide (CO2) Emission Efficiency: An Empirical Analysis. Business and Economics Research Journal.en_US
dc.identifier.doi10.20409/berj.2022.370
dc.identifier.endpage238en_US
dc.identifier.issue2en_US
dc.identifier.startpage221en_US
dc.identifier.urihttps://hdl.handle.net/11494/4292
dc.identifier.urihttps://doi.org/10.20409/berj.2022.370en_US
dc.identifier.volume13en_US
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorKara, Karahan
dc.language.isoenen_US
dc.relation.ispartofBusiness and Economics Research Journal
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLogistics performanceen_US
dc.subjectCarbon dioxide (Co₂) emissionen_US
dc.subjectHierarchical clustering analysisen_US
dc.subjectNon-hierarchical clustering analysisen_US
dc.subjectData envelopment analysisen_US
dc.titleClustering countries on logistics performance and carbon dioxide (CO2) emission efficiency: an empirical analysisen_US
dc.typeArticle

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