A bootstrap data envelopment analysis model with stochastic reducible outputs and expandable inputs: an application to power plants

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dc.authorscopusidAlireza Amirteimoori / 6602263748
dc.authorscopusidTofigh Allahviranloo / 8834494700
dc.authorwosidAlireza Amirteimoori / I-7703-2019
dc.authorwosidTofigh Allahviranloo / V-4843-2019
dc.contributor.authorAmirteimoori, Alireza
dc.contributor.authorAllahviranloo, Tofigh
dc.contributor.authorCezar, Asunur
dc.date.accessioned2025-04-18T08:05:22Z
dc.date.available2025-04-18T08:05:22Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractClean production of electricity is not only cost-effective but also effective in reducing pollutants. Toward this end, the use of clean fuels is strongly recommended by environmentalists. Benchmarking techniques, especially data envelopment analysis, are an appropriate tool for measuring the relative efficiency of firms with environmental pollutants. In classic data envelopment analysis models, decision-makers are faced with production processes in which reducible inputs are used to produce expandable outputs. In this contribution, we consider production processes when the input and output data are given in stochastic form and some throughputs are reducible and some others are expandable. A stochastic directional distance function model is proposed to calculate the relative technical efficiency of firms. In order to evaluate firm-specific technical efficiency, we apply bootstrap DEA. We first calculate the technical efficiency scores of firms using the classic DEA model. Then, the double bootstrap DEA model is applied to determine the impact of explanatory variables on firm efficiency. To demonstrate the applicability of the procedure, we present an empirical application wherein we employ power plants. © 2024 The authors. Published by EDP Sciences, ROADEF, SMAI 2024.
dc.identifier.citationAmirteimoori, A., Allahviranloo, T., & Cezar, A. (2024). A bootstrap data envelopment analysis model with stochastic reducible outputs and expandable inputs: an application to power plants. RAIRO-Operations Research, 58(4), 3189-3202.
dc.identifier.doi10.1051/ro/2024119
dc.identifier.endpage32021
dc.identifier.issn28047303
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85201235137
dc.identifier.scopusqualityN/A
dc.identifier.startpage3189
dc.identifier.urihttp://dx.doi.org/10.1051/ro/2024119
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6517
dc.identifier.volume58
dc.identifier.wosWOS:001288586300001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakScopus
dc.institutionauthorAmirteimoori, Alireza
dc.institutionauthorAllahviranloo, Tofigh
dc.institutionauthoridAlireza Amirteimoori / 0000-0003-4160-8509
dc.institutionauthoridTofigh Allahviranloo / 0000-0002-6673-3560
dc.language.isoen
dc.publisherEDP Sciences
dc.relation.ispartofRAIRO - Operations Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDouble Bootstrap
dc.subjectPollutants
dc.subjectPower Plant
dc.subjectStochastic DEA
dc.subjectTechnical Efficiency
dc.subjectUndesirable Outputs
dc.titleA bootstrap data envelopment analysis model with stochastic reducible outputs and expandable inputs: an application to power plants
dc.typeArticle

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