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Gelişmekte Olan Ülkelerin Lojistik Pazar Gelişimi Bakımından Bulanık Kümeleme ve Diskriminant Analizleriyle Kümelenmesi

Ülkelerin pazar gelişmişlik düzeylerinin belirlenmesinde lojistik performans göstergeleri önem arz etmektedir. Özellikle gelişmekte olan ülkelerin lojistik pazarları ülke ekonomi ve ticari faaliyet hacimlerinin artmasında etkin rol oynamaktadır. Bu araştırmada gelişmekte olan ülkelerin 2022 yılı lojistik pazar gelişmişlik düzeylerine göre kümelenmesi amaçlanmıştır. Bu nedenle araştırmada bulanık kümeleme ve diskriminant analizleri uygulanmıştır. Araştırmanın örneklem alanını 50 gelişmekte olan ülke oluşturmaktadır. Araştırmaya ait veriler The Agility Emerging Markets Logistics Index raporlarından alınmıştır. Araştırma iki safhada gerçekleştirilmiştir. Birinci safhada gelişmekte olan ülkeler bulanık kümeleme analiziyle sınıflandırılmıştır. Analiz bulgularına göre yüksek ve düşük lojistik pazar gelişmişlik kümesi olmak üzere 2 küme elde edilmiştir. Araştırmanın ikinci safhasında kümelenmiş ülkelerin küme üyeliklerinin test edilmesi amacıyla diskriminant analizi yapılmıştır. Diskriminant analizi bulgularına göre küme üyeliklerinin tamamı doğrulanmıştır. Araştırma sonucunda ülkelerin küme üyelik durumları, değişkenlere göre küme merkezleri tespit edilmiş ve elde edilen çıkarımlar paylaşılmıştır.

Anahtar Kelimeler:

Lojistik pazar performansı, Bulanık kümeleme analizi, Diskriminant analizi, Gelişmekte olan ülkeler

Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Logistics performance indicators are important in determining the market development levels of countries. Especially the logistics markets of developing countries play an active role in increasing the country's economy and trade volumes. In this research, it is aimed to cluster the developing countries according to their level of logistics market development in 2022. For this reason, fuzzy clustering and discriminant analyzes have been applied in the research. The sample area of the study consists of 50 developing countries. The data of the research have been taken from The Agility Emerging Markets Logistics Index reports. The research has been carried out in two phases. In the first phase, developing countries are classified by fuzzy cluster analysis. According to the analysis findings, 2 clusters have been obtained as high and low logistics market development cluster. In the second phase, discriminant analysis has been conducted to test the cluster membership of clustered countries. According to the discriminant analysis findings, all cluster memberships have been confirmed. As a result of the research, the cluster membership status of the developing countries and cluster centers according to the variables have been determined and the obtained implications have been presented.

Keywords:

Logistics market performance, Fuzzy cluster analysis, Discriminant analysis, Developing countries,

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