Efficiency Analysis in the Automotive And Automotive Supply Industries: An Application With Data Envelopment Analysis

Hilal Ok Ergün; Zekiye Aktaş

Makale detayları

Efficiency Analysis in the Automotive And Automotive Supply Industries: An Application With Data Envelopment Analysis

Yazarlar:

Hilal Ok Ergün | Zekiye Aktaş

Yayıncı:

Kirikkale University

Ana Başlıklar:

İşletme

Dergi:

Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi Vol.9 Issue 2, pp.126-142

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307911

pISSN:

2149-0732

Anahtar kelimeler:

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 firmss 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.

 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 firmss 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.

 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 firmss 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.

 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 firmss 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.

Makale detayları

Efficiency Analysis in the Automotive And Automotive Supply Industries: An Application With Data Envelopment Analysis

Yazarlar:

Hilal Ok Ergün | Zekiye Aktaş

Yayıncı:

Kirikkale University

Ana Başlıklar:

İşletme

Dergi:

Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi Vol.9 Issue 2, pp.126-142

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307911

pISSN:

2149-0732

Automotive Industry

Automotive Supply Industry

Data Envelopment Analysis

Sayı

Makale detayları

Efficiency Analysis in the Automotive And Automotive Supply Industries: An Application With Data Envelopment Analysis

Yazarlar: Hilal Ok Ergün | Zekiye Aktaş

Yayıncı: Kirikkale University

Ana Başlıklar: İşletme

Dergi: Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi Vol.9 Issue 2, pp.126-142

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001307911

pISSN: 2149-0732

Automotive Industry

Automotive Supply Industry

Data Envelopment Analysis

Sayı

Yazarlar:

Hilal Ok Ergün | Zekiye Aktaş

Yayıncı:

Kirikkale University

Ana Başlıklar:

İşletme

Dergi:

Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi Vol.9 Issue 2, pp.126-142

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307911

pISSN:

2149-0732