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AuthorAbdella G.M.
AuthorKucukvar M.
AuthorKutty A.A.
AuthorAbdelsalam A.G.
AuthorSen B.
AuthorBulak M.E.
AuthorOnat N.C.
Available date2022-05-31T19:01:25Z
Publication Date2021
Publication NameJournal of Cleaner Production
ResourceScopus
Identifierhttp://dx.doi.org/10.1016/j.jclepro.2021.126931
URIhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85104087831&doi=http://dx.doi.org/10.1016%2fj.jclepro.2021.126931&partnerID=40&md5=a4e6db28613c4a223e2ca265ce8b61dd
URIhttp://hdl.handle.net/10576/31851
AbstractEco-efficiency analysis can provide useful information for sustainability benchmarking of products and sectors while assessing and monitoring their economic and environmental performances. The eco-efficiency is defined as a ratio between economic performance and environmental impact. With multiple environmental and economic metrics, the eco-efficiency assessment is computationally complex. One common aspect of this complexity is associated with the importance (a.k.a. Relative weights) of sustainability indicators in the presence of high multicollinearity. A novel weighting method integrating two well-established methods for reducing the multicollinearity consequence during the aggregation process is presented in the study. The proposed method's mathematical and operational procedures, called Weighted Penalized Maximum Likelihood Estimation (W-PMLE), are demonstrated for the eco-efficiency analysis of U.S food consumption. The eco-efficiency analysis results revealed that the CO2 emissions, the level of consumption of the metallic mineral, and water were the most critical to the eco-efficiency performance of U.S. consumption.
Languageen
PublisherElsevier Ltd
SubjectComposite indicator
Eco-efficiency analysis
Food consumption
Input-output analysis
Lasso regression
Sustainability assessment
TitleA novel approach for developing composite eco-efficiency indicators: The case for US food consumption
TypeArticle
Volume Number299


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