Atıf Sayısı
2
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144
İndirme
77
In this paper logistics performance of the region in the Nomenclature of Territorial Units for Statistics Level-2 in Turkey will be measured through the turnover of enterprises operating in this sector. In the study data for the year of 2015 were obtained from the Turkey Statistical Institute and the General Directorate of Highways. Data Envelopment Analysis (DEA) was used to reveal the effectiveness of the regions. In this context, while the length of the road, the length of the railway, the number of ships coming to ports, number of aircraft landing and take-offs, gross domestic product and total number of vehicles were used as inputs, besides that the turnover of enterprises operating in the logistics sector is used as an output are included in the analysis. According to the findings of the study, 5 regions are found effective both CCR and BCC models. These regions are TR10, TR33, TR42, TR51 and TR 90 respectively. While TRA1 was the lowest efficiency region according to the CCR model and TR83 by the BCC model.
In this paper logistics performance of the region in the Nomenclature of Territorial Units for Statistics Level-2 in Turkey will be measured through the turnover of enterprises operating in this sector. In the study data for the year of 2015 were obtained from the Turkey Statistical Institute and the General Directorate of Highways. Data Envelopment Analysis (DEA) was used to reveal the effectiveness of the regions. In this context, while the length of the road, the length of the railway, the number of ships coming to ports, the number of aircraft landing and take-offs, gross domestic product and total number of vehicles were used as inputs, besides that the turnover of enterprises operating in the logistics sector is used as an output are included in the analysis. According to the findings of the study, 5 regions are found effective both CCR and BCC models. These regions are TR10, TR33, TR42, TR51 and TR 90 respectively. While TRA1 was the lowest efficiency region according to the CCR model and TR83 by the BCC model.
Alan : Eğitim Bilimleri; Filoloji; Güzel Sanatlar; Hukuk; Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Ulusal
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