Efficiency Analysis in the Automotive And Automotive Supply Industries: An Application With Data Envelopment Analysis
[ X ]
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kırıkkale Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, the relative performance of firms traded in the automotive and automotive supplier industry sectors on the Borsa Istanbul (BIST) is evaluate using data envelopment analysis (DEA). It examines that 8 automotive and 11 automotive supplier firms’s data and examined. The inputs of the analysis are employee count, total assets, and total equity, and the outputs including net sales and net profit. The analysis employs scale CCR and BCC models to identify relatively efficient firms as of 2022 and set reference benchmarks for non-efficient ones. This study is distinct for separately analyzing the automotive and supply industry industries, recognizing their complementary activities and differing from other studies in terms of the period considered. According to the findings, in the automotive industry, 3 firms are efficient based on the CCR model, and 6 firms demonstrate efficiency according to the BCC model. Additionally, 5 firms exhibit improving scale efficiency among those initially deemed non-efficient. In the automotive supply industry, 8 firms are efficient in input-oriented analyses and 9 in output-oriented analyses utilizing the BCC model. The CCR model confirms efficiency for 8 firms, while the scale efficiency of 3 initially non-efficient firms is seen to improve.
Açıklama
Anahtar Kelimeler
Automotive Industry, Automotive Supply Industry, Data Envelopment Analysis, Business Administration, İşletme
Kaynak
Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
9
Sayı
2-126
