A mixed model-based Johnson's relative weights for eco-efficiency assessment: the case for global food consumption

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dc.authoridOsama Dawoud / 0000-0002-3138-0793en_US
dc.authorscopusidOsama Dawoud / 56229410100
dc.authorwosidOsama Dawoud / AAN-8912-2020
dc.contributor.authorAbdella, Galal M.
dc.contributor.authorKüçükvar, Murat
dc.contributor.authorIsmail, Radwa
dc.contributor.authorAbdelsalam, Abdelsalam G.
dc.contributor.authorCihat Onat, Nuri
dc.contributor.authorDawoud, Osama
dc.date.accessioned2021-04-05T06:42:29Z
dc.date.available2021-04-05T06:42:29Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractAbstract Eco-efficiency composite indicators are widely accepted as the ratio of environmental impact to created economic value. These indicators are realistic measures for assessing sustainability performance considering the economy and environment. The weights reflect the importance of indicators to the aggregated environmental impacts. Estimating the relative weight of indicators is highly subjective, and therefore the search for a single unique weighting method has been going on for years. The regression-based weights are one of the most recent trends in sustainability modeling. Since these methods are designed initially to investigate the impact of multiple variables on a response variable rather than to estimate weights, some drawbacks are associated with their potential to provide proper weights. This paper presents a novel weighting approach integrating linear mixed-effect models with Johnson's relative weights to address these drawbacks and provide meaningful relative weights for eco-efficiency composite indicators. The proposed approach's operational and computational procedures are illustrated using a real example, and the eco-efficiency of food consumption of 38 countries is estimated for the period between 1990 and 2012 using a consumption-based sustainability accounting method. The findings have shown that energy use and GHG indicators are the most critical contributor to global food consumption's environmental impacts. The country-based eco-efficiency performance in this work has shown that China, India, and Russia are located in the low eco-efficiency score class. The Spatio-temporal analysis downgraded the geographical location's significance on the trends of eco-efficiency behavior in time and space. On the other hand, it revealed the different types of emerging hot spots over the world.en_US
dc.identifier.citationAbdella, G. M., Kucukvar, M., Ismail, R., Abdelsalam, A. G., Onat, N. C., & Dawoud, O. (2021). A mixed model-based Johnson's relative weights for eco-efficiency assessment: The case for global food consumption. Environmental Impact Assessment Review, 89, 106588.en_US
dc.identifier.doi10.1016/j.eiar.2021.106588en_US
dc.identifier.issn0195-9255en_US
dc.identifier.scopus2-s2.0-85103106655en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.eiar.2021.106588
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1645
dc.identifier.volume89en_US
dc.identifier.wosWOS:000653765000014en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDawoud, Osama
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.relation.ispartofEnvironmental Impact Assessment Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEco-Efficiency Indicatorsen_US
dc.subjectFood Consumptionen_US
dc.subjectMixed Effect Modelsen_US
dc.subjectMulti-Region Input-Output Analysisen_US
dc.subjectRelative Weightsen_US
dc.subjectSustainability Assessmenten_US
dc.titleA mixed model-based Johnson's relative weights for eco-efficiency assessment: the case for global food consumptionen_US
dc.typeArticleen_US

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