The Evaluation of Financial Performances of Logistics Companies in Turkey: A Data Envelopment Analysis Approach

Authors : Merve ERTOK ONURLU, Elgün ALİYEV

Pages : 773-798

Doi:10.35408/comuybd.877092

View : 15 | Download : 8

Publication Date : 2021-07-28

Article Type : Research Paper

Abstract :In this study, the financial performance of 10 logistics companies operating in the storage, transport and logistics services sector in Turkey is evaluated for years from 2011 to 2017 by using the Data Envelopment Analysis insert ignore into journalissuearticles values(DEA); method. In accordance with the purpose of the study, the input variables are composed of variables such as total assets, equity, number of employees whereas the output variables are net sales, profit before interest and tax, amount of exports. In measuring the financial performances of firms listed in the data set, the Charnes, Cooper, Rhodes insert ignore into journalissuearticles values(CCR); model based on the assumption of constant returns to scale and the Banker, Charnes, Cooper insert ignore into journalissuearticles values(BCC); model based on the assumption of variable return to scale are employed in the input-oriented DEA model. As a result of our study, efficient and ineffective logistics companies are identified for years from 2011 to 2017. The reference sets for ineffective companies are determined, and the extent to which ineffective companies should improve according to the companies they refer to is determined. The results of DEA CCR-I model suggests that 2015 has the highest number of active companies insert ignore into journalissuearticles values(7);. The year in which the average efficiency scores of the companies is the highest insert ignore into journalissuearticles values(89.2%); is 2016. According to the DEA BCC-I model, 2015 is associated with the largest number of active firms insert ignore into journalissuearticles values(9); and the average productivity scores of these firms are the highest insert ignore into journalissuearticles values(99.1%); in that particular year.
Keywords : Lojistik, Firma performansı, Veri Zarflama Analizi, Doğrusal Programlama