On inverse DEA model: The case of variable returns to scale

Ghiyasi, Mojtaba

doi:10.1016/j.cie.2015.05.018

Cited by 39 publications

(23 citation statements)

References 4 publications

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“…Ghobadi and Jahangiri (2014) adressed an application of inverse DEA for assessing educational departments in a university. Ghiyasi (2015) claimed that solution method of the inverse DEA model proposed previously by Lertworasirikul et al (2011) was flawed, and revised the method. Amin and Al-Muharrani (2016) Uluslararası İktisadi ve İdari İncelemeler Dergisi introduced new inverse DEA models for target setting of a merger between two or more decision making units, in the presence of negative data.…”

Section: International Journal Of Economic and Administrative Studiesmentioning

confidence: 99%

Oecd Ülkeleri̇ni̇n Sağlik Etki̇nli̇kleri̇ni̇n Veri̇ Zarflama Ve Ters Veri̇ Zarflama Anali̇zleri̇ İle Değerlendi̇ri̇lmesi̇

Değirmenci

2021

Uluslararası İktisadi Ve İdari İncelemeler Dergisi

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In the present study, the purpose was to evaluate the health effectiveness of the Organization for Economic Development and Co-operation (OECD) countries, including Turkey, with input-oriented DEA and inverse DEA models. The input and output variables were determined by examining the studies in the literature. In this respect, the input variables were identified as the number of physicians per thousand people, the number of hospital beds per thousand people, health expenditure per capita; and output variables were expected life expectancy at birth, and rate of surviving infants. According to the DEA results, only Turkey, Mexico and Colombia were found to be efficient. In addition, the input variable which affects at most the health efficiency scores of countries was determined as the number of physicians. According to the findings of the inverse DEA obtained in the study, it was determined that the current number of physicians in Turkey was sufficient, and that the healthcare expenditure per person and the number of hospital beds should be increased.

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Section: International Journal Of Economic and Administrative Studiesmentioning

confidence: 99%

Oecd Ülkeleri̇ni̇n Sağlik Etki̇nli̇kleri̇ni̇n Veri̇ Zarflama Ve Ters Veri̇ Zarflama Anali̇zleri̇ İle Değerlendi̇ri̇lmesi̇

Değirmenci

2021

Uluslararası İktisadi Ve İdari İncelemeler Dergisi

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“…In the context of inverse DEA, as its name indicate, the situation is reversed where input or output levels are to be assessed with a given efficiency score (Ghiyasi, 2015;Jahanshahloo et al, 2015). If the outputs of DMU 0 are increased from y 0 to b 0 ¼ y 0 þ Dy 0 , and the inputs are changed from x 0 to a 0 ¼ x 0 þ Dx 0 , then the following model is constructed to estimate the minimum input increment Dx 0 (Ghiyasi, 2015),…”

Section: Basic Invdea Modelmentioning

confidence: 99%

Mergers and acquisitions matching for performance improvement: a DEA-based approach

Yang

Wang

Shi

2020

Economic Research-Ekonomska Istraživanja

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This article proposes a new data envelopment analysis (DEA)-based approach to deal with mergers and acquisitions (M&As) matching. To derive reliable matching degrees between bidder and target firms, we consider both technical efficiency and scale efficiency. Specifically, an inverse DEA model is developed for measuring the technical efficiency, while a conventional DEA model is employed to identify the return of scale of the merged decision-making units (DMUs). Then, an optimization model is formulated to generate matching results to improve DMUs' performance. An empirical study of M&As matching Turkish energy firms is examined to illustrate the proposed approach. This study shows that both technical efficiency and scale efficiency have impacts on M&As matching practices.

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“…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%

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

Xu-yang

et al. 2019

PLoS ONE

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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.

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On inverse DEA model: The case of variable returns to scale

Cited by 39 publications

References 4 publications

Oecd Ülkeleri̇ni̇n Sağlik Etki̇nli̇kleri̇ni̇n Veri̇ Zarflama Ve Ters Veri̇ Zarflama Anali̇zleri̇ İle Değerlendi̇ri̇lmesi̇

Oecd Ülkeleri̇ni̇n Sağlik Etki̇nli̇kleri̇ni̇n Veri̇ Zarflama Ve Ters Veri̇ Zarflama Anali̇zleri̇ İle Değerlendi̇ri̇lmesi̇

Mergers and acquisitions matching for performance improvement: a DEA-based approach

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

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