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Assessing the sustainability of high-, middle-, and low-income countries: A network DEA model in the presence of both zero data and undesirable outputs
University of Isfahan, Isfahan, Iran.
University of Isfahan, Isfahan, Iran.
Jönköping University, Jönköping International Business School, JIBS, Economics. Department of Economics, Sogang University, Seoul, South Korea.ORCID iD: 0000-0002-7902-4683
2019 (English)In: Sustainable Production and Consumption, ISSN 2352-5509, E-ISSN 1614-2373Article in journal (Refereed) Epub ahead of print
Abstract [en]

Sustainability evaluation has been an important topic for politicians and professionals for the last few decades. A data envelopment analysis (DEA) is a popular technique for evaluating the sustainability of decision-making units (DMUs). The traditional DEA models consider a DMU as black-box thus ignoring the interactions among the different processes. This study proposes a new network data envelopment analysis (NDEA) model for evaluating the sustainability of high-, middle-, and low-income countries. The proposed NDEA model allows us to evaluate sustainable production and distribution stages in a unified framework in the presence of both zero data and undesirable outputs. The results of our proposed model show that countries with high and low incomes perform well in the sustainable production stage but have a weak performance in the sustainable distribution stage. In contrast, middle-income countries have weak performance in the sustainable production stage but good performance in the sustainable distribution stage. Finally, to identify countries’ strengths and weaknesses, we also did a sensitivity analysis. Based on the results, the paper proposes solutions for reducing inefficiencies in the sustainable production and distribution stages. 

Place, publisher, year, edition, pages
Elsevier, 2019.
Keywords [en]
Network DEA, Sustainability assessment, Sustainable distribution stage, Sustainable production stage
National Category
Environmental Management Economics and Business
Identifiers
URN: urn:nbn:se:hj:diva-46244DOI: 10.1016/j.spc.2019.08.009Scopus ID: 2-s2.0-85071850980Local ID: ;IHHÖvrigtISOAI: oai:DiVA.org:hj-46244DiVA, id: diva2:1352368
Available from: 2019-09-18 Created: 2019-09-18 Last updated: 2019-09-18

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Publisher's full textScopushttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85071850980&doi=10.1016%2fj.spc.2019.08.009&partnerID=40&md5=f0e1935671dcaa709ad49fd7955568f1

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Heshmati, Almas

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