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Measuring the efficiency of container terminals using Data Envelopment Analysis

قياس كفاءة محطات الحاويات باستخدام أسلوب تحليل مغلف البيانات

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 Publication date 2013
and research's language is العربية
 Created by Shamra Editor




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Container terminals are different in the degree of service for container ships, which increased recently and especially in the Mediterranean, also differ in use of the amount of inputs required for operational process, which create the problem of declining technical efficiency of container terminals Mediterranean. Therefore, the researcher measured the efficiency (12) a major container terminal in the Mediterranean in 2010, using the Data Envelopment Analysis (DEA). Where the inputs: Number of quay cranes, and space of terminal, and the output was the annual throughput of containers. The practical results showed that the rate of technical efficiency – (CRS) was 49%, while the rate of technical efficiency – (VRS) 69.3%. Tangier container terminal achieved the best level of technical and scale efficiency, While Mersin, Algeciras, and Tartous achieved the technical efficiency only, while remaining terminals did not achieve any efficiency, Therefore advisable to reconsider in their used inputs to improve their efficiency.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة قياس كفاءة محطات الحاويات في حوض البحر الأبيض المتوسط باستخدام أسلوب تحليل مغلف البيانات (DEA) لعام 2010. اختار الباحثون 12 محطة حاويات رئيسية وقاموا بتحليل كفاءتها باستخدام مدخلات مثل عدد روافع الرصيف ومساحة المحطة، بينما كانت المخرجات هي عدد الحاويات المتناولة. أظهرت النتائج أن معدل الكفاءة الفنية وفق نموذج عوائد الحجم الثابت (CRS) كان 49%، بينما كان معدل الكفاءة الفنية وفق نموذج عوائد الحجم المتغير (VRS) 69.3%. حققت محطة حاويات طنجة أفضل مستوى من الكفاءة التقنية والحجمية، بينما حققت محطات مرسين، الجيسيراس، وطرطوس الكفاءة الفنية فقط. أما بقية المحطات فلم تحقق أي كفاءة، مما يستدعي إعادة النظر في كمية المدخلات المستخدمة لتحسين الكفاءة الفنية.
Critical review
تعتبر هذه الدراسة خطوة مهمة في مجال قياس كفاءة محطات الحاويات في منطقة البحر الأبيض المتوسط. ومع ذلك، يمكن توجيه بعض النقد البنّاء لتحسين البحث في المستقبل. أولاً، كان من الممكن أن تشمل الدراسة فترة زمنية أطول لتحليل التغيرات في الكفاءة عبر الزمن. ثانياً، لم يتم تناول العوامل الخارجية التي قد تؤثر على كفاءة المحطات مثل الظروف الاقتصادية والسياسية. ثالثاً، كان من الممكن استخدام تقنيات تحليلية إضافية مثل التحليل الحدودي العشوائي (SFA) لمقارنة النتائج وتعزيز مصداقيتها. وأخيراً، كان من الأفضل تضمين المزيد من المحطات لتحليل أوسع وأكثر شمولية.
Questions related to the research
  1. ما هي المدخلات والمخرجات المستخدمة في تحليل الكفاءة لمحطات الحاويات في هذه الدراسة؟

    المدخلات كانت عدد روافع الرصيف ومساحة المحطة، بينما كانت المخرجات هي عدد الحاويات المتناولة سنوياً.

  2. ما هو معدل الكفاءة الفنية وفق نموذج عوائد الحجم الثابت (CRS)؟

    معدل الكفاءة الفنية وفق نموذج عوائد الحجم الثابت (CRS) كان 49%.

  3. أي محطة حاويات حققت أفضل مستوى من الكفاءة التقنية والحجمية في الدراسة؟

    محطة حاويات طنجة حققت أفضل مستوى من الكفاءة التقنية والحجمية.

  4. ما هي التوصيات التي قدمها الباحثون لتحسين كفاءة المحطات غير الكفؤة؟

    ينصح الباحثون بإعادة النظر في كمية المدخلات المستخدمة في المحطات غير الكفؤة بغية تحسين الكفاءة الفنية لها.


References used
Afriat, s. "Efficiency Estimation of Production Function" International Economic Review, vol.13, No. 3: 568-598, 1972
BANKER, R; CHARNES, A; COOPER, W. Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 1984, Vol.30 No.9, 1078–1092
Boles, J.N. (1966), “Efficiency Squared - Efficient Computation of Efficiency Indexes”, Proceedings of the 39th Annual Meeting of the Western Farm Economic Association, pp 137-142
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