Efficiency measurement with data envolepment analysis in fabricated metal products, machinery, electrical equipment and transportation vehicles sector: An application in BIST

In this study, Data Envelopment Analysis (DEA) was used to examine the financial statement data of nine companies operating in the BIST metal goods, machinery, electrical equipment and transport vehicles sectors, with the aim of determining their economic efficiency in the five-year period between 2018 and 2022. DEA's input-oriented CCR and BCC models were used in the analyses. Looking at the activity frequencies of the companies in the study sample between 2018 and 2022, it can be seen that the companies EGEEN, FROTO and OTKAR were efficient in both CCR and BCC models in all years. While BFREN, TAOSO and VESBE are active in all years in the BCC model, it can be seen that BFREN and TAOSO are not efficient in 2020 and VESBE is not efficient in 2021 and 2022 in the CCR model. In the BCC model only ARCLK is inactive in 2021 and 2022. It can also be seen that ARCLK is the least efficient company in both the CCR and BCC models. It can be seen that the companies have their most efficient years in 2022. For the companies BFREN, TOASO and VESTL, whose efficiency values were quite high in 2019 according to the CCR model, there was a decrease in efficiency values in 2020 compared to 2019. It is estimated that this change in efficiency is due to the economic crisis caused by Covid-19. According to the CCR method, ARCLK and VESTL, which are inefficient companies, have to improve their input values by taking EGEEN, FROTO and OTKAR as a reference.