CO2 Emisyonu Etkinlik Ölçümü: Yeşil Lojistik Perspektifi

Yıl 2025, Sayı: PRODUCTIVITY FOR LOGISTICS, 139 - 148, 03.02.2025

Fuad Selamzade , Yusuf Ersoy , Ali Tehci

https://doi.org/10.51551/verimlilik.1525575

Öz

Amaç: Bu çalışmada Türkiye, Azerbaycan, Kazakistan, Kırgızistan ve Özbekistan’ın karbon emisyonları etkinliklerinin ölçülerek yeşil lojistik persperktifinde değerlendirilmesi amaçlanmıştır.
Yöntem: Araştırma kapsamında etkinlik analizleri çıktı odaklı Veri Zarflama Analizi (VZA)’nin ölçeğe göre sabit getiri (CRS) modeli ve süper etkinlik CRS VZA modeli kullanılarak gerçekleştirilmiştir. Araştırmada kullanılan girdi ve çıktı değişkenleri Dünya Bankası web sitesinden elde edilmiştir.
Bulgular: Araştırmada öncelikli olarak ilgili ülkelerin etkinlik skorları belirlenmiştir. Ülkelerin etkinlik skorlarının genel olarak %50’ın üzerinde olduğu tespit edilmiştir. Etkin karar verme birimlerinin kendi aralarındaki sıralaması ise süper etkinlik CRS VZA modeli ile gerçekleştirilmiştir. Etkin çıkmayan karar verme birimlerinin etkin olabilmesi için bazı potansiyel iyileştirme önerileri sunulmuştur.
Özgünlük: Gelecek nesillere yaşanabilir bir dünya bırakmak için yeşil enerji üretiminin desteklenmesi ve Karbondioksit (CO2) emisyonunun kontrol altında tutulması gerekmektedir. Dolayısıyla ülkelerin CO2 emisyonlarının etkinlik değerlendirmesi hayati öneme sahiptir. Bu çalışma Türk Cumhuriyetlerinin CO2 emisyon etkinliklerinin süper etkinlik CRS VZA modeli kullanılarak gerçekleştirilmiş olması nedeniyle özgün bir niteliğe sahiptir. Bu çalışma bu yönüyle bu konuda araştırma yapacaklara ve ülke yöneticilerine yol gösterebilecek niteliktedir.

Anahtar Kelimeler

Etkinlik, Karbon Emisyonu, Lojistik 4.0, Veri Zarflama Analizi, Yeşil Lojistik

CO2 Emission Efficiency Measurement: Green Logistics Perspective

Öz

Purpose: This study aims to measure the carbon emission activities of Turkey, Azerbaijan, Kazakhstan, Kyrgyzstan and Uzbekistan and evaluate them from a green logistics perspective.
Method: Within the scope of the research, efficiency analyses were conducted using the output-oriented Data Envelopment Analysis (DEA) constant returns to scale (CRS) model and the super efficiency CRS DEA model. The input and output variables used in the research were obtained from the World Bank website.
Findings: In the research, the efficiency scores of the relevant countries were determined. It was determined that the efficiency scores of the countries were generally above 50%. The ranking of the efficient decision-making units among themselves was carried out with the super efficiency CRS DEA model. Some potential improvement suggestions were presented for the decision-making units that were not efficient.
Originality: In order to leave a livable world to future generations, green energy production should be supported and Carbon Dioxide (CO2) emissions should be kept under control. Therefore, the efficiency assessment of countries' CO2 emissions is of vital importance. This study has an original feature because the CO2 emission activities of the Turkish Republics were carried out using the super efficiency CRS DEA model. This study can provide guidance to those who will conduct research on this subject and to country leaders.

Anahtar Kelimeler

Efficiency, Carbon Emission, Logistics 4.0, Data Envelopment Analysis, Green Logistics

Kaynakça

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