© 2014 Elsevier B.V. All rights reserved. Cherchye, De Rock, Dierynck, Roodhooft, and Sabbe (2013) introduced a DEA methodology that is specially tailored for multi-output efficiency measurement. The methodology accounts for jointly used inputs and incorporates information on how inputs are allocated to outputs. In this paper, we present extensions that render the methodology useful to deal with undesirable (or "bad") outputs in addition to desirable (or "good") outputs. Interestingly, these extensions deal in a natural way with several limitations of existing DEA approaches to treat undesirable outputs. We also demonstrate the practical usefulness of our methodological extensions through an application to US electric utilities.status: publ...
The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received great research ...
© 2015, Springer Science+Business Media New York. We extend a recently developed methodology for mea...
Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP) are widely used for...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
We develop a new data envelopment analysis (DEA)-based methodology for measuring the efficiency of d...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
© 2015 Elsevier Ltd. We extend a recently developed DEA methodology for cost efficiency analysis tow...
We extend a recently developed DEA methodology for cost efficiency analysis towards profit efficienc...
Data Envelopment Analysis (DEA) is one of the well-known methods for calculating efficiency, determi...
https://www.grips.ac.jp/list/facultyinfo/tone_kaoru/In this paper, we propose a new non-parametric D...
The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received great research ...
This paper extends a data envelopment analysis (DEA) model that considers only desirable outputs in ...
Data envelopment analysis (DEA) is a popular mathematical tool for analyzing the relative efficiency...
This paper extends a data envelopment analysis (DEA) model that considers only desirable outputs in ...
We extend a recently developed methodology for measuring the efficiency of Decision Making Units (DM...
The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received great research ...
© 2015, Springer Science+Business Media New York. We extend a recently developed methodology for mea...
Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP) are widely used for...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
We develop a new data envelopment analysis (DEA)-based methodology for measuring the efficiency of d...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
© 2015 Elsevier Ltd. We extend a recently developed DEA methodology for cost efficiency analysis tow...
We extend a recently developed DEA methodology for cost efficiency analysis towards profit efficienc...
Data Envelopment Analysis (DEA) is one of the well-known methods for calculating efficiency, determi...
https://www.grips.ac.jp/list/facultyinfo/tone_kaoru/In this paper, we propose a new non-parametric D...
The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received great research ...
This paper extends a data envelopment analysis (DEA) model that considers only desirable outputs in ...
Data envelopment analysis (DEA) is a popular mathematical tool for analyzing the relative efficiency...
This paper extends a data envelopment analysis (DEA) model that considers only desirable outputs in ...
We extend a recently developed methodology for measuring the efficiency of Decision Making Units (DM...
The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received great research ...
© 2015, Springer Science+Business Media New York. We extend a recently developed methodology for mea...
Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP) are widely used for...