A Non-substitution Theorem with Non-constant Returns to Scale and Externalities
نویسندگان
چکیده
An input-output model with non-constant returns to scale and externalities is presented, and it is shown that in this model, the non-substitution theorem is still valid. More precisely, the quantity side of the theorem, i.e., the proposition on efficiency, remains valid, while there can be no equilibrium prices independent of final demand.
منابع مشابه
Two-stage Production Systems under Variable Returns to Scale Technology: A DEA Approach
Data envelopment analysis (DEA) is a non-parametric approach for performance analysis of decision making units (DMUs) which uses a set of inputs to produce a set of outputs without the need to consider internal operations of each unit. In recent years, there have been various studies dealt with two-stage production systems, i.e. systems which consume some inputs in their first stage to produce ...
متن کاملCharacterizing and finding full dimensional efficient facets of PPS with constant returns to scale technology
متن کامل
Efficiency Evaluation of Wood Supplying Plans
In this research, efficiency of Iranian forest and rangeland decision making unit was assessed using non-parametric method. Inputs and outputs determined by field research and with applying a Delphi method the final input and output variables selected. Forty five wood-producing units (forestry plans) in three northern Iranian province were studied using Data Envelopment Analysis. The efficiency...
متن کاملCharacterization of efficient points of the production possibility set under variable returns to scale in DEA
We suggest a method for finding the non-dominated points of the production possibility set (PPS) with variable returns to scale (VRS) technology in data envelopment analysis (DEA). We present a multiobjective linear programming (MOLP) problem whose feasible region is the same as the PPS under variable returns to scale for generating non-dominated points. We demonstrate that Pareto solutions o...
متن کاملThe relationship between Neural Networks and DEA-R (Case Study: Companies Stock Exchange)
Evaluate the performance of companies on the Stock Exchange using non-parametric methods is very important. DEA and DEA-R with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. In this study, using a neural network algorithm DEA and DEA-R is suggested to classify the first companies in the stock exchange; Secondly, using the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004