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

Karahan Kara
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Abstract

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.
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基于模糊聚类和判别分析的发展中国家物流市场发展聚类
物流绩效指标是决定各国市场发展水平的重要指标。特别是发展中国家的物流市场在增加国家的经济和贸易量方面发挥着积极的作用。在这项研究中,它的目的是根据发展中国家的物流市场发展水平在2022年进行集群。为此,模糊聚类和判别分析被应用于研究中。这项研究的样本地区包括50个发展中国家。该研究的数据取自敏捷新兴市场物流指数报告。这项研究分两个阶段进行。第一阶段,采用模糊聚类分析法对发展中国家进行分类。根据分析结果,得出了高、低物流市场发展集群。第二阶段进行判别分析,检验聚类国家的聚类隶属度。根据判别分析结果,所有的集群成员都得到了确认。根据这些变量,确定了发展中国家和集群中心的集群成员地位,并提出了研究结果。
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