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Dergiler / Artvin Çoruh Üniversitesi Uluslararası Sosyal Bilimler Dergisi / 2025 / Cilt: 11 Sayı: 2

OECD Ülkelerinde Veri Tabanlı LPI, Ekolojik Ayak İzi ve CO2 Kriterlerine Dayalı Entropi–TOPSIS Yöntemleri ile Ulusal Yeşil Lojistik Performansının Analizi

Analysis of National Green Logistics Performance in OECD Countries with Data-Based LPI, Ecological Footprint and CO2 Criteria-Based Entropy–TOPSIS Methods

Okan Kekül(GÜMÜŞHANE ÜNİVERSİTESİ)0000-0003-0517-6577
Sayfa
421–441
Yayın Tarihi
2025-12-30
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Elde edilen değerler incelendiğinde, kişi başına düşen karbon emisyon kriteri ile ekolojik ayak izi kriterinin en yüksek öneme sahip olan kriterler olduğu tespit edilmiştir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Bu çalışmada, OECD ülkelerinin yeşil lojistik performanslarının belirlenmesi amaçlanmaktadır.
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Temel Bulgular & Veri:Araştırmada, OECD ülkelerinin 2023 yılına ait veri tabanlı lojistik performans endeksi ile ekolojik ayak izi ve kişi başına düşen karbon emisyon verileri kullanılmıştır.
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Sonuç & Katkı:Elde edilen değerler incelendiğinde, kişi başına düşen karbon emisyon kriteri ile ekolojik ayak izi kriterinin en yüksek öneme sahip olan kriterler olduğu tespit edilmiştir.
🔬Tür:Araştırma Makalesi
📍Kapsam:2023 Verileri
⚙️Değişkenler:Yeşil Lojistik · Lojistik · Sürdürülebilir Çevre

Özet

Bu çalışmada, OECD ülkelerinin yeşil lojistik performanslarının belirlenmesi amaçlanmaktadır. Araştırmada, OECD ülkelerinin 2023 yılına ait veri tabanlı lojistik performans endeksi ile ekolojik ayak izi ve kişi başına düşen karbon emisyon verileri kullanılmıştır. Çok kriterli karar verme yöntemlerinin kullanıldığı çalışmada ilk olarak Entropi ile kriter ağırlıkları belirlenmiştir. Elde edilen değerler incelendiğinde, kişi başına düşen karbon emisyon kriteri ile ekolojik ayak izi kriterinin en yüksek öneme sahip olan kriterler olduğu tespit edilmiştir. Bu kriterleri önem düzeyi bağlamında gümrük işlemleri etkinliği ile altyapı kalitesi kriterlerinin takip ettiği ortaya konulmuştur. İzleme ve Takip Kapasitesi kriterinin ise en az öneme sahip olan kriter olduğu gözlemlenmiştir. TOPSIS yöntemiyle ülkelerin yeşil lojistik performanslarına yönelik sıralama gerçekleştirilmiştir. Bu sıralamaya göre; Danimarka, İsviçre, Finlandiya, Kanada ve İsveç’in yeşil lojistik performanslarında en başarılı ülkeler olduğu tespit edilmiştir. Buna karşın Türkiye, Çek Cumhuriyeti, Şili, Kosta Rika, Macaristan, Kolombiya ve Meksika ülkelerine ait yeşil lojistik performanslarının diğer ülkelere göre daha zayıf düzeyde olduğu tespit edilmiştir

Abstract

This study aims to determine the green logistics performance of OECD countries. The research utilizes the data-based logistics performance index for OECD countries for the year 2023, along with ecological footprint and per capita carbon emission data. In this study, which employs multi-criteria decision-making methods, the criterion weights were first determined using Entropy. Upon examining the obtained values, it was determined that the per capita carbon emissions criterion and the ecological footprint criterion were the most important criteria. It was revealed that these criteria were followed by customs processing efficiency and infrastructure quality criteria in terms of importance. The tracking & tracing score criterion was observed to be the least important criterion. A ranking of countries' green logistics performance was conducted using the TOPSIS method. According to this ranking, Denmark, Switzerland, Finland, Canada, and Sweden were found to be the most successful countries in terms of green logistics performance. In contrast, the green logistics performance of Turkey, the Czech Republic, Chile, Costa Rica, Hungary, Colombia, and Mexico were found to be weaker than that of other countries.

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Bu Makaleye Atıf Yap

Kekül, O. (2025). OECD Ülkelerinde Veri Tabanlı LPI, Ekolojik Ayak İzi ve CO2 Kriterlerine Dayalı Entropi–TOPSIS Yöntemleri ile Ulusal Yeşil Lojistik Performansının Analizi. Artvin Çoruh Üniversitesi Uluslararası Sosyal Bilimler Dergisi, Cilt: 11 Sayı: 2, 421–441. https://doi.org/10.22466/acusbd.1809328

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