دانلود مقاله ISI انگلیسی شماره 41544
ترجمه فارسی عنوان مقاله

استفاده از تحلیل پوششی داده ها برای ارزیابی کارایی فنی واحدها با تخصص های مختلف: کاربرد برای کشاورزی

عنوان انگلیسی
Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
41544 2015 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Omega, Volume 54, July 2015, Pages 72–83

ترجمه کلمات کلیدی
تحلیل پوششی داده ها تجارت پایاپای - محدودیت های وزنی - غیر همگن - کشاورزی
کلمات کلیدی انگلیسی
Data envelopment analysis; Trade-offs; Weight restrictions; Non-homogeneity; Agriculture
پیش نمایش مقاله
پیش نمایش مقاله  استفاده از تحلیل پوششی داده ها برای ارزیابی کارایی فنی واحدها با تخصص های مختلف: کاربرد برای کشاورزی

چکیده انگلیسی

In this paper we consider the use of data envelopment analysis (DEA) for the assessment of efficiency of units whose output profiles exhibit specialisation. An example of this is found in agriculture where a large number of different crops may be produced in a particular region, but only a few farms actually produce each particular crop. Because of the large number of outputs, the use of conventional DEA models in such applications results in a poor efficiency discrimination. We overcome this problem by specifying production trade-offs between different outputs, relying on the methodology of Podinovski (J Oper Res Soc 2004;55:1311–22). The main idea of our approach is to relate various outputs to the production of the main output. We illustrate this methodology by an application of DEA involving agricultural farms in different regions of Turkey. An integral part of this application is the elicitation of expert judgements in order to formulate the required production trade-offs. Their use in DEA models results in a significant improvement of the efficiency discrimination. The proposed methodology should also be of interest to other applications of DEA where units may exhibit specialization, such as applications involving hospitals or bank branches.