In data envelopment analysis, cone extensions of production technologies are often used for the estimation of scale efficiency of decision making units. Furthermore, the non-increasing and non-decreasing returns-to-scale (NIRS and NDRS) technologies are often used for their returns-to-scale characterization. Although a number of new production technologies have recently been developed in the literature, their cone, NIRS and NDRS extensions have not always been fully explored. In this paper, we obtain general results that show how these extensions can be obtained, for an arbitrary polyhedral technology. We illustrate the usefulness of our results by examples
In this paper, we will discuss subjects related to virtual multipliers in the cone-ratio model in DE...
Nonparametric envelopment estimators are often used to estimate the attainable set and its efficient...
Data Envelopment Analysis is a procedure for evaluation of the relative efficiency of units in a pro...
International audienceIn data envelopment analysis, cone extensions of production technologies are o...
The notion of returns to scale (RTS) is well-established in data envelopment analysis (DEA). In the ...
Conventional models of data envelopment analysis (DEA) are based on the constant and variable return...
This paper investigates the nonparametric analysis of technology under non-convexity. The analysis e...
We present a unifying linear programming approach to the calculation of various directional derivati...
Applications of efficiency and productivity analysis in which some inputs and outputs are given in t...
The extensions to the variable (VRS) and the constant (CRS) returns-to-scale models developed by Ban...
In a recent article, Briec, Kerstens and Vanden Eeckaut (2004) develop a series of nonparametric, de...
This paper defines a decomposition of technical efficiency for a series of nonparametric determinist...
In data envelopment analysis, the type of local returns to scale (RTS) exhibited by a technically ef...
In a production technology, the type of returns to scale (RTS) associated with an efficient decision...
Non-parametric data envelopment analysis (DEA) estimators have been widely applied in analysis of pr...
In this paper, we will discuss subjects related to virtual multipliers in the cone-ratio model in DE...
Nonparametric envelopment estimators are often used to estimate the attainable set and its efficient...
Data Envelopment Analysis is a procedure for evaluation of the relative efficiency of units in a pro...
International audienceIn data envelopment analysis, cone extensions of production technologies are o...
The notion of returns to scale (RTS) is well-established in data envelopment analysis (DEA). In the ...
Conventional models of data envelopment analysis (DEA) are based on the constant and variable return...
This paper investigates the nonparametric analysis of technology under non-convexity. The analysis e...
We present a unifying linear programming approach to the calculation of various directional derivati...
Applications of efficiency and productivity analysis in which some inputs and outputs are given in t...
The extensions to the variable (VRS) and the constant (CRS) returns-to-scale models developed by Ban...
In a recent article, Briec, Kerstens and Vanden Eeckaut (2004) develop a series of nonparametric, de...
This paper defines a decomposition of technical efficiency for a series of nonparametric determinist...
In data envelopment analysis, the type of local returns to scale (RTS) exhibited by a technically ef...
In a production technology, the type of returns to scale (RTS) associated with an efficient decision...
Non-parametric data envelopment analysis (DEA) estimators have been widely applied in analysis of pr...
In this paper, we will discuss subjects related to virtual multipliers in the cone-ratio model in DE...
Nonparametric envelopment estimators are often used to estimate the attainable set and its efficient...
Data Envelopment Analysis is a procedure for evaluation of the relative efficiency of units in a pro...