Environmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach

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dc.authorscopusidAlireza Amirteimoori / 6602263748
dc.authorwosidAlireza Amirteimoori / I-7703-2019
dc.contributor.authorAmirteimoori, Alireza
dc.contributor.authorCezar, Asunur
dc.contributor.authorZadmirzaei, Majid
dc.contributor.authorSusaeta, Andres
dc.date.accessioned2025-04-18T09:45:38Z
dc.date.available2025-04-18T09:45:38Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThis study addresses the global concern about undesirable outputs in the Forest Sector. We propose two innovative models, namely a directional weak disposable DEA model and an extended stochastic DEA model, to measure environmental efficiency. These models make a significant contribution to the field by specifically assessing the uncertain environmental efficiency of the forest sector. We validated our proposed models by conducting an empirical application using the United Nations Economic Commission for Europe (UNECE) forest sector dataset. The study examines important outputs such as above ground biomass stock, export unit prices of industrial roundwood, wood removals (desirable outputs), and CO2 emissions from wildfires (undesirable output). The results demonstrate that our novel stochastic weak disposability DEA model outperforms traditional approaches when the second scenario is applied. Specifically, the average technical efficiency (TE) score decreases to 0.92, and the number of efficient units reduces to 27, representing an approximate improvement of 55 %. Furthermore, the reduction rate of CO2 emissions is 4.09 % lower than the benchmark. Hence, our extended novel stochastic weak disposability DEA approach enhances the assessment of efficiency and inefficiency in decision-making units, contributing to the mitigation of risk and uncertainty. It also improves overall environmental performance in forest management.
dc.identifier.citationAmirteimoori, A., Cezar, A., Zadmirzaei, M., & Susaeta, A. (2024). Environmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach. Socio-Economic Planning Sciences, 94, 101943.
dc.identifier.doi10.1016/j.seps.2024.101943
dc.identifier.endpage15
dc.identifier.issn0038-0121
dc.identifier.issn1873-6041
dc.identifier.scopus2-s2.0-85193965274
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.1016/j.seps.2024.101943
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6851
dc.identifier.volume94
dc.identifier.wosWOS:001264247300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAmirteimoori, Alireza
dc.institutionauthoridAlireza Amirteimoori / 0000-0003-4160-8509
dc.language.isoen
dc.publisherElsevier science INC
dc.relation.ispartofSocio-economic planning sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectStochastic Data Envelopment Analysis
dc.subjectForest Sector Management
dc.subjectGreenhouse Gas Emissions
dc.subjectUncertain Environmental Efficiency
dc.subjectWeak Disposability Assumption
dc.titleEnvironmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach
dc.typeArticle

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