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Title Testing data envelopment analysis models on the performance of European Union regions in sustainable waste management
ID_Doc 21423
Authors Chioatto, E; Fedele, A; Liscio, MC; Sospiro, P
Title Testing data envelopment analysis models on the performance of European Union regions in sustainable waste management
Year 2024
Published
DOI 10.1016/j.wasman.2024.01.008
Abstract Achieving a Circular Economy requires effective waste management. Monitoring the transformation path taken by the European Union (EU) and its Member States is crucial for assessing the impact and effectiveness of current European waste legislation. Even though numerous studies have shown positive performance and convergence in waste treatment, regional efficiency evaluation studies are still lacking. This research aims to benchmark the performance of municipal solid waste management in 167 regions - at level 2 of the Nomenclature of Territorial Units for Statistics - across European Member States during the period from 2008 to 2013. It looks to assess whether there is any positive convergence among these regions. The efficiency assessment employs four different Data Envelopment Analysis models. One of these models, the Benefit -of -Doubt, is a non -parametric approach and represents a special case within the Data Envelopment Analysis framework. Our findings indicate a yearly reduction in the coefficient of variation of 3.6%. Despite this progressive convergence, substantial differences in municipal solid waste management performance exist between EU-20 regions, even within the same country. Particularly, the analysis demonstrates that the best performers are registered in the Central and Northern EU regions, while the Eastern and Southern EU regions performed worse.
Author Keywords Data envelopment analysis; Municipal waste management; Composite indicators; NUTS2 regional classification; Circular economy
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001161597400001
WoS Category Engineering, Environmental; Environmental Sciences
Research Area Engineering; Environmental Sciences & Ecology
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