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

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