Maintaining the Regular Ultra Passum Law in data envelopment analysis
نویسندگان
چکیده
The variable returns to scale data envelopment analysis (DEA) model is developed with a maintained hypothesis of convexity in input-output space. This hypothesis is not consistent with standard microeconomic production theory that posits an S-shape for the production frontier, i.e. for production technologies that obey the Regular Ultra Passum Law. Consequently, measures of technical efficiency assuming convexity are biased downward. In this paper, we provide a more general DEA model that allows the S-shape.
منابع مشابه
ارزیابی اثربخشی مشوقهای محرک حفاظت از خانههای با ارزش تاریخی (مطالعه موردی: بناهای تاریخی محله جلفای اصفهان)
Maintaining historical houses, as symbolic identity phenomena, is a must and today it seems as if the owners of such houses are the key figures in maintaining them however, passing the laws and regulations for the maintenance of historical houses seem to have limited their ownership rights. Besides limiting factors in property development, there should be encouraging motives so that the mainten...
متن کاملData Envelopment Analysis Models In The Presence Of Ratio Data and Non-Discretionary Factors
متن کامل
An extended of multiple criteria data envelopment analysis models for ratio data
One of the problems of the data envelopment analysis traditional models in the multiple form that is the weights corresponding to certain inputs and outputs are considered zero in the calculation of efficiency and this means that not all input and output components are utilized for the evaluation of efficiency, as some are ignored. The above issue causes the efficiency score of the under evalua...
متن کاملImpact of Outliers in Data Envelopment Analysis
This paper will examine the relationship between "Data Envelopment Analysis" and a statistical concept ``Outlier". Data envelopment analysis (DEA) is a method for estimating the relative efficiency of decision making units (DMUs) having similar tasks in a production system by multiple inputs to produce multiple outputs. An important issue in statistics is to identify the outliers. In this pap...
متن کاملWindow Network Data Envelopment Analysis: An Application to Investment Companies
In this study, the window network data envelopment analysis (WNDEA) model will be proposed, that is capable to be used in the presence of panel data. Additionally, the proposed model is applied to evaluate the dynamic efficiency of 5 investment companies in Tehran stock exchange during the period from 2013 to 2017.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 235 شماره
صفحات -
تاریخ انتشار 2014