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

Year 2025, Volume: 11 Issue: 2, 421 - 441, 30.12.2025

Okan Kekül

https://doi.org/10.22466/acusbd.1809328

Abstract

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

Keywords

Yeşil Lojistik , Lojistik , Sürdürülebilir Çevre , Ekolojik Ayak İzi , LPI , Entropi , TOPSIS.

Ethical Statement

Çalışmanın tüm hazırlık aşamalarında etik kurallara uyulduğu yazar tarafından beyan edilir. Aksi bir durumun tespiti hâlinde, Artvin Çoruh Üniversitesi Uluslararası Sosyal Bilimler Dergisi herhangi bir sorumluluk kabul etmez ve tüm sorumluluk yazara aittir. Etik Onayı : Çalışmada katılımcılardan anket, görüşme, gözlem ya da deney yoluyla birincil veri veya kişisel veri içeren herhangi bir içerik kullanılmamıştır. Bu nedenle etik kurul onayı gerekmemektedir.

Supporting Institution

Yoktur.

Thanks

Yoktur.

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

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.

Keywords

Green Logistics , Logistics , Sustainable Environment , Ecological Footprint , LPI , Entropy , TOPSIS.

Ethical Statement

The author declares that all stages of the study were conducted in accordance with ethical research principles. In the event of any misconduct, Artvin Çoruh University Journal of International Social Sciences assumes no responsibility and all responsibility lies with the author. Ethical Approval : The study did not involve the collection of primary data or any content containing personal data through surveys, interviews, observations, or experiments with participants. Therefore, ethical approval was not required.

Supporting Institution

None.

Thanks

None.

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