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Assessing Waste Generation Efficiency in EU Regions towards Sustainable Environmental Policies

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  • George Halkos
  • Kleoniki Natalia Petrou

Abstract

This paper employs data envelopment analysis (DEA) to consider waste generation at a regional level in the European Union (EU). By doing so both good and bad outputs are taken into account and different frameworks are designed. Five parameters (waste generation, employment rate, capital formation, GDP and population density) are used for 172 EU regions and for the years 2009, 2011 and 2013. In this way four frameworks have been designed, each with different inputs and outputs. The results show the most efficient EU regions according to each framework, but it should be noted that results from different frameworks should not be compared with each other. Overall results suggest that the highest performers are regions in Belgium, Italy, Portugal and the UK. Finally, the efficiency results from DEA were reviewed against the treatment options employed in the relevant regions to assess overall sustainability of the regions examined. Findings show that, although a country might be efficient according to DEA and by taking various factors into consideration, this does not necessarily mean that regions within a country use sustainable waste treatment options, as it is essential to account for trade and shipment of waste between regions and countries as well. These findings may prove valuable for the planning of environmental policies, especially on an EU regional level. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment

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  • George Halkos & Kleoniki Natalia Petrou, 2018. "Assessing Waste Generation Efficiency in EU Regions towards Sustainable Environmental Policies," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(3), pages 281-301, May.
    • Handle: RePEc:wly:sustdv:v:26:y:2018:i:3:p:281-301
    DOI: 10.1002/sd.1701
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    Cited by:

    1. Meng Ye & Yanan Jin & Fumin Deng, 2022. "Municipal waste treatment efficiency in 29 OECD countries using three-stage Bootstrap-DEA model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11369-11391, September.
    2. Yigang Wei & Yan Li & Meiyu Wu & Yingbo Li, 2020. "Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 521-539, July.
    3. Malin Song & Qianjiao Xie, 2021. "Evaluation of Urban Competitiveness of the Huaihe River Eco-Economic Belt Based on Dynamic Factor Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 615-639, October.
    4. Gesa Henriette Marken & Jacob Hörisch, 2019. "Purchasing unpackaged food products [Der Einkauf unverpackter Lebensmittel]," NachhaltigkeitsManagementForum | Sustainability Management Forum, Springer, vol. 27(3), pages 165-175, December.
    5. Zezhou Wu & Ann T.W. Yu & Chi Sun Poon, 2020. "Promoting effective construction and demolition waste management towards sustainable development: A case study of Hong Kong," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1713-1724, November.

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