Evaluating the Efficiency of Non-Life Insurance Companies with Data Envelopment Analysis: Evidence from Türkiye

Arif Çilek; Onur Şeyranlıoğlu

Makale detayları

Evaluating the Efficiency of Non-Life Insurance Companies with Data Envelopment Analysis: Evidence from Türkiye

Yazarlar:

Arif Çilek | Onur Şeyranlıoğlu

Yayıncı:

Selcuk University

Ana Başlıklar:

Finansal Piyasalar ve Kurumlar | Sigorta Ekonomisi | Bankacılık ve Sigortacılık (Diğer) | Finans | Finans ve Yatırım (Diğer)

Dergi:

Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 55, pp.97-119

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001337069

pISSN:

2667-4750

Anahtar kelimeler:

Özet:

 The objective of this research is to quantify and assess the effectiveness of non-life insurance businesses in Türkiye within the timeframe of 2022-2023. Data Envelopment Analysis DEA method was used to analyse the efficiencies. The efficiency levels of non-life insurance businesses are examined and contrasted using output-oriented CCR and BCC models. Based on the CCR models results, it is projected that in 2022, out of the 42 non-life insurance firms analyzed, 5 are considered efficient while 37 are deemed inefficient. Among the inefficient enterprises, Gri Sigorta has the lowest efficiency level, with a score of 0.1680. Based on the results of the BCC model, 8 entities were found to be efficient, whereas 34 entities were deemed inefficient. Among the inefficient entities, Grey Insurance had the lowest efficiency level, scoring 0.170. Based on the CCR models analysis in 2023, out of the 44 non-life insurance businesses examined, 4 were found to be efficient while 40 were deemed inefficient. The company with the lowest degree of efficiency was Generali Sigorta, with a score of 0.265. Based on the results of the BCC model, 12 entities were found to be efficient, whereas 32 entities were deemed inefficient. Among the inefficient entities, Generali Sigorta had the lowest efficiency level, scoring 0.281. In the literature, there is no study on non-life insurance enterprises covering the period 2022-2023, where scale efficiency is also calculated using CCR and BBC models together. Inefficient enterprises will contribute positively to the national economy by becoming efficient with policies and strategies that can reach the projection values.

 The objective of this research is to quantify and assess the effectiveness of non-life insurance businesses in Türkiye within the timeframe of 2022-2023. Data Envelopment Analysis DEA method was used to analyse the efficiencies. The efficiency levels of non-life insurance businesses are examined and contrasted using output-oriented CCR and BCC models. Based on the CCR models results, it is projected that in 2022, out of the 42 non-life insurance firms analyzed, 5 are considered efficient while 37 are deemed inefficient. Among the inefficient enterprises, Gri Sigorta has the lowest efficiency level, with a score of 0.1680. Based on the results of the BCC model, 8 entities were found to be efficient, whereas 34 entities were deemed inefficient. Among the inefficient entities, Grey Insurance had the lowest efficiency level, scoring 0.170. Based on the CCR models analysis in 2023, out of the 44 non-life insurance businesses examined, 4 were found to be efficient while 40 were deemed inefficient. The company with the lowest degree of efficiency was Generali Sigorta, with a score of 0.265. Based on the results of the BCC model, 12 entities were found to be efficient, whereas 32 entities were deemed inefficient. Among the inefficient entities, Generali Sigorta had the lowest efficiency level, scoring 0.281. In the literature, there is no study on non-life insurance enterprises covering the period 2022-2023, where scale efficiency is also calculated using CCR and BBC models together. Inefficient enterprises will contribute positively to the national economy by becoming efficient with policies and strategies that can reach the projection values.

 The objective of this research is to quantify and assess the effectiveness of non-life insurance businesses in Türkiye within the timeframe of 2022-2023. Data Envelopment Analysis DEA method was used to analyse the efficiencies. The efficiency levels of non-life insurance businesses are examined and contrasted using output-oriented CCR and BCC models. Based on the CCR models results, it is projected that in 2022, out of the 42 non-life insurance firms analyzed, 5 are considered efficient while 37 are deemed inefficient. Among the inefficient enterprises, Gri Sigorta has the lowest efficiency level, with a score of 0.1680. Based on the results of the BCC model, 8 entities were found to be efficient, whereas 34 entities were deemed inefficient. Among the inefficient entities, Grey Insurance had the lowest efficiency level, scoring 0.170. Based on the CCR models analysis in 2023, out of the 44 non-life insurance businesses examined, 4 were found to be efficient while 40 were deemed inefficient. The company with the lowest degree of efficiency was Generali Sigorta, with a score of 0.265. Based on the results of the BCC model, 12 entities were found to be efficient, whereas 32 entities were deemed inefficient. Among the inefficient entities, Generali Sigorta had the lowest efficiency level, scoring 0.281. In the literature, there is no study on non-life insurance enterprises covering the period 2022-2023, where scale efficiency is also calculated using CCR and BBC models together. Inefficient enterprises will contribute positively to the national economy by becoming efficient with policies and strategies that can reach the projection values.

 Bu çalışmanın amacı Türkiyedeki hayat dışı sigorta işletmelerinin etkinliklerinin 2022-2023 döneminde ölçülmesi ve değerlendirilmesidir. Etkinlikleri incelemek amacıyla Veri Zarflama Analizi VZA metodu kullanılmıştır. Hayat dışı sigorta işletmelerinin etkinlik düzeyleri çıktı odaklı olarak CCR ve BCC modelleri ile analiz edilerek karşılaştırılmıştır. 2022 yılında CCR modeli bulgularına göre 42 hayat dışı sigorta işletmesinden 5 tanesi etkin, 37 tanesi etkin değildir ve etkinlik düzeyi en düşük olan işletme 0,1680 ile Gri Sigortadır. BCC modeli bulgularına göre 8 tanesi etkin, 34 tanesi etkin değildir ve etkinlik düzeyi en düşük olan işletme 0,170 ile Gri Sigortadır. 2023 yılında CCR modeli bulgularına göre 44 hayat dışı sigorta işletmesinden 4 tanesi etkin, 40 tanesi etkin değildir ve etkinlik düzeyi en düşük olan işletme 0,265 ile Generali Sigortadır. BCC modeli bulgularına göre 12 tanesi etkin, 32 tanesi etkin değildir ve etkinlik düzeyi en düşük olan işletme 0,281 ile Generali Sigortadır. Literatürde, hayat dışı sigorta işletmeleriyle ilgili 2022-2023 dönemini kapsayan, CCR ve BBC modelleri birlikte kullanılarak ölçek etkinliği de hesaplanan bir çalışmaya rastlanılmamıştır. Etkin olmayan işletmeler projeksiyon değerlerine ulaşabilecek politika ve stratejiler ile etkin duruma gelerek ülke ekonomisine olumlu katkı sağlayacaktır.

Makale detayları

Evaluating the Efficiency of Non-Life Insurance Companies with Data Envelopment Analysis: Evidence from Türkiye

Yazarlar:

Arif Çilek | Onur Şeyranlıoğlu

Yayıncı:

Selcuk University

Ana Başlıklar:

Finansal Piyasalar ve Kurumlar | Sigorta Ekonomisi | Bankacılık ve Sigortacılık (Diğer) | Finans | Finans ve Yatırım (Diğer)

Dergi:

Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 55, pp.97-119

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001337069

pISSN:

2667-4750

Non-Life Insurance

Efficiency

Data Envelopment AnalysisHayat Dışı Sigorta

Etkinlik

Veri Zarflama Analizi

Sayı

Makale detayları

Evaluating the Efficiency of Non-Life Insurance Companies with Data Envelopment Analysis: Evidence from Türkiye

Yazarlar: Arif Çilek | Onur Şeyranlıoğlu

Yayıncı: Selcuk University

Ana Başlıklar: Finansal Piyasalar ve Kurumlar | Sigorta Ekonomisi | Bankacılık ve Sigortacılık (Diğer) | Finans | Finans ve Yatırım (Diğer)

Dergi: Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 55, pp.97-119

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001337069

pISSN: 2667-4750

Non-Life Insurance

Efficiency

Data Envelopment AnalysisHayat Dışı Sigorta

Etkinlik

Veri Zarflama Analizi

Sayı

Yazarlar:

Arif Çilek | Onur Şeyranlıoğlu

Yayıncı:

Selcuk University

Ana Başlıklar:

Finansal Piyasalar ve Kurumlar | Sigorta Ekonomisi | Bankacılık ve Sigortacılık (Diğer) | Finans | Finans ve Yatırım (Diğer)

Dergi:

Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 55, pp.97-119

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001337069

pISSN:

2667-4750