Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.contributor.authorBhuiyan, ?Miraj Ahmed
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorMikhaylov, Alexey
dc.contributor.authorShah Danish, Mir Sayed
dc.contributor.authorPintér, Gábor
dc.contributor.authorUyeh, Daniel Dooyum
dc.contributor.authorStepanova, Diana
dc.date.accessioned2022-01-03T07:15:24Z
dc.date.available2022-01-03T07:15:24Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractBioenergy is a renewable energy source that saves from fossil fuel dependence. Therefore, it is important to increase the efficiency of bioenergy investments to create an environmentally sustainable energy supply. This paper aims to identify economic indicators significant in forecasting the supply of bioenergy. Considering this goal, an integrated evaluation has been performed for 17 developed economies using the Random Forest method and the Fuzzy Decision-Making Trial and Evaluation Laboratory (QROF-DEMATEL) method. The main contribution of this study is conducting analysis by using both quantitative and qualitative data. Additionally, the coherence of the results made with the QROF-DEMATEL method is also verified by implementing a sensitivity analysis. The results of both approaches are quite similar and provide information about the reliability of the findings. This situation demonstrates that for the development of bioenergy investments, firstly, countries’ macroeconomic conditions should be improved. Consequently, economic growth and unemployment (weighting results - 0.159 and 0.155) should be primarily considered for the bioenergy supply forecast.
dc.identifier.citationBhuiyan, ?M. A., Dinçer, H., Yüksel, S., Mikhaylov, A., Shah Danish, M. S., Pintér, G. ... Stepanova, D. (2022). Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models. Energy Reports, 8, 561-570. https://doi.org/10.1016/j.egyr.2021.11.278
dc.identifier.doi10.1016/j.egyr.2021.11.278
dc.identifier.endpage570
dc.identifier.issn2352-4847
dc.identifier.scopus2-s2.0-85121361956
dc.identifier.scopusqualityQ1
dc.identifier.startpage561
dc.identifier.urihttps://doi.org/10.1016/j.egyr.2021.11.278
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8746
dc.identifier.volume8
dc.identifier.wos000787086100007en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofEnergy Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBiomass Economy
dc.subjectDemand and Supply
dc.subjectDEMATEL
dc.subjectEconomic Growth
dc.subjectQ-rung Orthopair Fuzzy Sets
dc.titleEconomic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models
dc.typeArticle

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