Evaluation of European transition economies using the logistics performance index with data envelopment analysis
PDF
Cite
Share
Request
Research Article
VOLUME: 12 ISSUE: 1
P: 30 - 51
June 2023

Evaluation of European transition economies using the logistics performance index with data envelopment analysis

Trakya Univ E J Fac Econ Adm Sci 2023;12(1):30-51
1. Dr. Öğr. Üyesi, Trakya Üniversitesi SosyalBilimler Meslek Yüksekokulu, Edirne.
2. Öğr. Gör. Trakya Üniversitesi SosyalBilimler Meslek Yüksekokulu, Edirne.
No information available.
No information available
Received Date: 10.03.2022
Accepted Date: 09.08.2022
PDF
Cite
Share
Request

Abstract

In today's capitalism, where competition is more intense day by day, performance and its elements, efficiency, and productivity, remain of increasing importance. In order to realise a high performance in the production system, it is necessary to ensure optimal resource utilisation in the whole process and to reduce costs. The entire stage during the material supply, material procurement and logistics process should be carried out in optimal harmony. Therefore, ensuring the activity and efficiency of logistics sectors has come into prominence in performance improvement. In this study, the efficiency and productivity analysis of 11 countries that have completed the transition within the European Transition Economy Countries were made according to the Input-Oriented Constant Return to Scale Model and Input-Oriented Variable Returns to Scale Model by using the data belonging to the Logistics Performance Index sub-dimensions. Three of the six sub-dimensions of the Logistics Performance Index (customs, infrastructure, and logistics quality) were used as inputs, while the other three (international shipments, tracking / tracking, and on-time delivery) were considered as outputs. In the study conducted with Data Envelopment Analysis, the efficiency evaluation was made by using the "EMS Package Program". According to the results acquired from the analysis findings, efficient and productive countries were found. At the same time, ineffective and nonproductive countries were found and the improvement rates of the input variables have been calculated so that the inefficient countries can reach the ideal efficiency level.

Keywords:
Transition Economies, Logistics Performance Index, Data Envelopment Analysis