The Relationship Between Carbon Emissions and Logistics Performance: The Case of Transition Economies

Yıl 2025, Cilt: 6 Sayı: 2, 129 - 138, 24.09.2025

Demet Eroğlu Sevinç

https://doi.org/10.57116/isletme.1740140

Öz

The purpose of this study is to investigate the relationship between the logistics performance and carbon emissions of 24 countries which are called transition or transformation economies. The logistics performance index was first published in 2007 and is announced on average every two years. Since the data is discrete, the analysis period covers 2007-2022 and unbalanced panel data analysis technique is used. The study first presents the descriptive statistics of the variables and then continues with the Breusch-Pagan LM test for the estimation of the optimal unbalanced panel data model. As a result of the analysis conducted with the Maximum Likelihood Regression (MLE) method for model estimation, it was revealed that the effect of logistics performance index on carbon emissions is significant. In this context, it can be said that a 1 percent increase in the logistics performance index in these Transition Economies reduces carbon emissions by approximately 12%. These results reveal that logistics activities, which are an important driver of economic growth in transition economies, also have significant impacts on environmental degradation.

Anahtar Kelimeler

Carbon Emission , Logistic , Logistic Performance Index , Transition Economies.

Karbon Emisyonu ve Lojistik Performansı Arasındaki İlişki: Geçiş Ekonomileri Örneği

Öz

Bu çalışmanın amacı geçiş veya dönüşüm ekonomileri olarak adlandırılan 24 ülkenin lojistik performansları ile karbon emisyonları arasındaki ilişkileri araştırmaktadır. Lojistik performans endeksi ilk olarak 2007 yılında yayınlamaya başlamış ve ortalama iki yıllık periyotlarla açıklanmıştır. Verilerin kesikli olması sebebiyle analiz yılı 2007-2022 dönemini kapsamış ve dengesiz panel veri analiz tekniği kullanılmıştır. Çalışma ilk olarak değişkenlere ait tanımlayıcı istatistikleri içermekte ve daha sonra en uygun dengesiz panel veri modeli tahmini için Breusch-Pagan LM testiyle devam etmektedir. Model tahminine yönelik olarak Maksimum Olabilirlik Regresyonu (MLE) yöntemiyle yapılan analiz sonucunda ise lojistik performans endeksinin karbon emisyonları üzerindeki etkisinin anlamlı olduğu ortaya çıkmıştır. Bu bağlamda söz konusu Geçiş Ekonomilerinde lojistik performans endeksinde meydana gelen 1 birimlik artışın karbon emisyonlarını yaklaşık olarak % 12 oranında azalttığı söylenebilir. Bu sonuçlar geçiş ekonomilerinde ekonomik büyümenin önemli bir destekleyicisi konumunda olan lojistik faaliyetlerin çevresel bozulmalar üzerinde de önemli etkiler oluşturduğunu gözler önüne sermektedir.

Anahtar Kelimeler

Karbon Emisyonu , Lojistik , Lojistik Performans Endeksi , Geçiş Ekonomileri.

Kaynakça

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