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An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals

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dc.citedby1
dc.contributor.authorSaha A.en_US
dc.contributor.authorMishra A.R.en_US
dc.contributor.authorRani P.en_US
dc.contributor.authorDeveci M.en_US
dc.contributor.authorDebnath B.K.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorid59412512200en_US
dc.contributor.authorid58662062600en_US
dc.contributor.authorid57195068589en_US
dc.contributor.authorid55734383000en_US
dc.contributor.authorid57200631271en_US
dc.contributor.authorid36682671900en_US
dc.contributor.authorid55247787300en_US
dc.date.accessioned2025-03-03T07:41:22Z
dc.date.available2025-03-03T07:41:22Z
dc.date.issued2024
dc.description.abstractSustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. The 2030 Agenda for Sustainable Development, accepted by all United Nations Member States in 2015, offers a unifying framework for peace and prosperity for people and the planet, both now and in the future. The Sustainable Development Goals (SDGs) include specific targets and indicators, helping to assess a country's progress towards achieving the goals. To evaluate the EU (European Union) countries' alignment with the SDGs, this study develops a group decision-making approach by integrating DEA (Data Envelopment Analysis), MARCOS (Measurements Alternatives and Ranking according to COmpromise Solution), and an optimization model. A DEA is a highly suitable procedure for evaluating the performance of multiple peer entities, often referred to as Decision-making Units (DMUs) or alternatives. On the other hand, the benefits of MARCOS are: (i) it considers both the ideal (ID) and anti-ideal (AID) scenarios and, (ii) it exemplifies the utility degree of each option in association to ID and AID. Lastly, the combination of cross-entropy and divergence measures effectively deal with the information loss occurred during the determining the weights of considered criteria. Therefore, the proposed hybrid model is more sensible and practical. According to the final results, Austria stands out as the top performer among the EU countries in implementing the SDGs and achieving favorable outcomes. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo103913
dc.identifier.doi10.1016/j.envsci.2024.103913
dc.identifier.scopus2-s2.0-85205935056
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85205935056&doi=10.1016%2fj.envsci.2024.103913&partnerID=40&md5=1a1978b99062d8d10747fd5cb0921945
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36091
dc.identifier.volume162
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnvironmental Science and Policy
dc.subjectAustria
dc.subjectdata envelopment analysis
dc.subjectdecision making
dc.subjectecosystem service
dc.subjectEuropean Union
dc.subjectmulticriteria analysis
dc.subjectoptimization
dc.subjectSustainable Development Goal
dc.subjectUnited Nations
dc.subjectarticle
dc.subjectAustria
dc.subjectdecision making
dc.subjectentropy
dc.subjectEuropean Union
dc.subjecthuman
dc.subjectmulticriteria decision analysis
dc.subjectsustainable development
dc.subjectsustainable development goal
dc.titleAn optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goalsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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