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The Yin and Yang of banking: Modeling desirable and undesirable outputs

European Journal of Operational Research
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yulu Wang, Subal C. Kumbhakar, Man Jin
openaire   +1 more source

Treating undesirable outputs in DEA: A critical review

Economic Analysis and Policy, 2019
Abstract The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received great research attention recently. As such and as are presented in this work, there are four possible options to deal with those: 1. ignoring them from the production function, 2. treating them as regular inputs, 3.
George Halkos, Kleoniki Natalia Petrou
openaire   +1 more source

Environmental degradation—An undesirable output of the food system

2019
The food system increasingly leads to environmental pollution and resource depletion, with impacts on all four environmental compartments, namely air, water, soil, and biota (living organisms). Using one or more examples to illustrate their most salient features, this chapter summarizes the environmental degradation caused by the ever-increasing ...
openaire   +2 more sources

Impact of undesirable outputs on the productivity of US airports

Transportation Research Part E: Logistics and Transportation Review, 2008
Abstract The paper assesses productivity of 56 US airports during the period 2000–2003. Unlike past work, this study models joint production of both desirable and undesirable outputs (i.e., delays) using the non-parametric directional output distance function. Results are compared to those from models that do not include undesirable outputs.
Somchai Pathomsiri   +3 more
openaire   +1 more source

Multi-valued measures in DEA in the presence of undesirable outputs

Omega, 2020
Abstract Data envelopment analysis (DEA) evaluates the relative efficiency of a set of comparable decision making units (DMUs) with multiple performance measures (inputs and outputs). Classical DEA models rely on the assumption that each DMU can improve its performance by increasing its current output level and decreasing its current input levels ...
Mehdi Toloo, Jana Hančlová
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Inputs/outputs estimation in DEA when some factors are undesirable

Applied Mathematics and Computation, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gholam Reza Jahanshahloo   +3 more
openaire   +2 more sources

Nonparametric Productivity Analysis with Undesirable Outputs: Reply

American Journal of Agricultural Economics, 2003
Hailu and Veeman (2001) (henceforth HV) use both primal nonparametric (DEA) and dual nonparametric frontiers that include undesirable outputs. The dual frontier provides the tightest nonparametric outer-bound to the unknown underlying technology while the DEA frontier provides the tightest innerbound to the technology (Varian, Banker and Maindiratta ...
openaire   +2 more sources

DEA Models with Undesirable Inputs, Intermediates, and Outputs

2015
In real applications involving the use of Data Envelopment Analysis (DEA) models, undesirable inputs and outputs have been frequently encountered and addressed, e.g., via data transformation. These studies were scattered in the literature and often confined to some particular applications. In this paper, we present a systematic investigation concerning
Zhongbao Zhou, Wenbin Liu
openaire   +1 more source

Turkish bank efficiency: Bayesian estimation with undesirable outputs

Journal of Banking & Finance, 2013
This paper analyzes the productivity and efficiency of Turkish banks from 2002 to 2010. We obtained estimates of efficiency, productivity growth and efficiency growth using a Bayesian stochastic frontier approach and focused on accounting for Non-Performing Loans (NPLs) for use in our model.
A. George Assaf   +2 more
openaire   +1 more source

Environmental assessment and dealing with undesirable outputs: DEA-based approach

International Journal of Mathematical Modelling and Numerical Optimisation, 2019
This paper discusses an indirect portion oriented approach based on a traditional data envelopment analysis (DEA), requiring a proportional reduction of undesirable outputs. The proposed technique prepares an accommodation of undesirable factors in their primary form.
M. Zoriehhabib   +2 more
openaire   +1 more source

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