Inputs/outputs estimation in DEA when some factors are undesirable

Jahanshahloo, G. R.; Hadi-Vencheh, A.; Foroughi, Ali Asghar; Matin, Reza Kazemi

doi:10.1016/s0096-3003(03)00814-2

Cited by 45 publications

(14 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A third approach to dealing with undesirable outputs is a transforming method, either taking the reciprocal of undesirable outputs (Lovell et al, 1995) or subtracting them from some large‐enough numbers (Jahanshahloo et al, 2004; Seiford and Zhu, 2002), and then treating them as normal outputs. Dyckhoff and Allen (2001, pp.…”

Section: Review Of Existing Approachesmentioning

confidence: 99%

Technical efficiency and impact of environmental regulations in farrow‐to‐finish swine production in Taiwan

Yang

Hsiao

2008

Agricultural Economics

View full text Add to dashboard Cite

This article demonstrates how technical efficiency and the impact of environmental regulations of Taiwanese farrow-to-finish swine production can be estimated in the presence of undesirable outputs. The issue of measuring technical efficiencies while considering undesirable outputs has been addressed by past studies. But the proper method of including undesirable outputs has always been a subject of debate. This article develops a data envelopment analysis (DEA)-based model that includes undesirable outputs. The technologies of desirable output production and undesirable output control are considered simultaneously. This allows one to transform undesirable output into desirable output, whereby a traditional Shephard distance function can be used to measure technical efficiencies. An approach to measuring the impacts due to environmental regulations is then derived. Empirical results show that larger farms are more technically efficient than small-sized farms, but no clear conclusions can be reached for the measures of regulatory impact among farms with different sizes. On average, the sample farms incurred an opportunity cost due to environmental regulations equivalent to 9.8% of market value. Opportunity costs rise with efficiency. Copyright (c) 2008 International Association of Agricultural Economists.

show abstract

Section: Review Of Existing Approachesmentioning

confidence: 99%

Technical efficiency and impact of environmental regulations in farrow‐to‐finish swine production in Taiwan

Yang

Hsiao

2008

Agricultural Economics

View full text Add to dashboard Cite

show abstract

“…Zhang and Cui [34] recently extension and integration of inverse DEA in output- and input-oriented. Other studies have extended the application of inverse DEA to solving inverse problems that involve preference cone constraints [22], undesirable factors [21], sensitivity analysis [35], imprecise data [17], ambiguities [36], frontier changes [37], and available price information [38]. Hassanzadeh et al [14] developed two inverse semi-oriented radial models for evaluating the sustainability of countries.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Amin et al [40] developed the inverse GInvDEA model to illustrate a generalized restructuring. To the best of our knowledge, only three papers [17,21,41] have examined inverse DEA with undesired outputs.…”

Section: Literature Reviewmentioning

confidence: 99%

Resource planning of Chinese commercial banking systems using two-stage inverse data envelopment analysis with undesirable outputs

Xu-yang

et al. 2019

PLoS ONE

View full text Add to dashboard Cite

This paper develops two-stage inverse data envelopment analysis models with undesirable outputs to formulate resource plans for 16 Chinese listed commercial banks whose outputs are increased and overall efficiency is kept unchanged in the short term. We use these models to meet three different output targets, namely, increasing both the desirable and undesirable outputs by the same percentage, increasing these outputs by different percentages, and increasing only the desirable outputs while keeping the undesirable outputs unchanged. We find that operation cost and interest expense are more flexible than labor in the adjustment process and that deposits have no obvious law of change. The findings of this work provide some suggestions for bank managers.

show abstract

“…For instance, in [81] an alternative approach to treating both desirable and undesirable factors differently in the BCC model was developed. In [82], the control of changes in input/output levels of a given DMU with the presence of undesirable factors in order to preserve the efficiency index of a DMU was considered. In [79], a model in the framework of DEA for treating undesirable inputs and outputs was proposed.…”

Section: Description Of Non-radial Dea Modelmentioning

confidence: 99%

Application of Multicriteria Decision-Making Methods in Railway Engineering: A Case Study of Train Control Information Systems (TCIS)

Djordjević¹,

Krmac²

2018

Modern Railway Engineering

View full text Add to dashboard Cite

In order to improve its position in the transport market railway, as a complex system, it has to fulfill a number of objectives such as increased capacity and asset utilization, improved reliability and safety, higher customer service levels, better energy efficiency and fewer emissions, along with increased economic viability and profits. Some of these objectives call for the implementation of maximum values, while some of them require minimum values. Additionally, some can be expressed quantitatively, while some, for example, customer service, can be described qualitatively through a descriptive scale of points. The application of MCDM in railway engineering can play a significant role. Therefore, the major objective of this chapter is the review of the application of MCDM methods in railway engineering. As one of the means in achieving the objectives of railways and above all the utilization of capacity are Train Control Information Systems (TCIS). Based on that, the aim of this chapter is the evaluation of the efficiency of TCIS in the improvement of railway capacity utilization through defined technical-technological indicators. The non-radial Data Envelopment Analysis (DEA) model for the evaluation of TCIS efficiency in improvement of utilization of railway capacity using the selected indicators is proposed. The proposed non-radial DEA model for TCIS efficiency evaluation in using railway capacity could be applied to an overall network or for separate parts of railway lines.

show abstract

Inputs/outputs estimation in DEA when some factors are undesirable

Cited by 45 publications

References 9 publications

Technical efficiency and impact of environmental regulations in farrow‐to‐finish swine production in Taiwan

Technical efficiency and impact of environmental regulations in farrow‐to‐finish swine production in Taiwan

Resource planning of Chinese commercial banking systems using two-stage inverse data envelopment analysis with undesirable outputs

Application of Multicriteria Decision-Making Methods in Railway Engineering: A Case Study of Train Control Information Systems (TCIS)

Contact Info

Product

Resources

About