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Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach

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  • George Halkos
  • George Papageorgiou

Abstract

This paper computes and analyses, for the first time, environmental efficiencies in waste generation of 116 European regions in NUTS 2 level in five European countries over the period of 2008-2010. For this reason, different data envelopment analysis (DEA) model formulations are used for modeling the pollutant in the form of waste generation as a regular output and as a regular input. In the latter case, we also use the notion of eco-efficiency. The empirical findings reveal environmental inefficiencies among the regions, indicating the lack of a uniform regional environmental policy among the European countries. This finding is observed not only for regions between different countries but also among the regions within countries, implying the need for implementation of unified appropriate municipal environmental policies in waste management.

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  • George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
  • Handle: RePEc:taf:jenpmg:v:59:y:2016:i:1:p:62-78
    DOI: 10.1080/09640568.2014.983592
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    Cited by:

    1. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
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    3. 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.
    4. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2024. "Green Energy Pathways Towards Carbon Neutrality," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(6), pages 1473-1496, June.
    5. Vera Pais-Magalhães & Victor Moutinho & António Cardoso Marques, 2021. "Scoring method of eco-efficiency using the DEA approach: evidence from European waste sectors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9726-9748, July.
    6. Halkos, George E. & Aslanidis, Panagiotis Stavros C., 2023. "New circular economy perspectives on measuring sustainable waste management productivity," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 764-779.
    7. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    8. Halkos, George, 2018. "Environment and Sustainable Development," MPRA Paper 86490, University Library of Munich, Germany.
    9. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    10. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    11. Yinyin Wen & Min Zhao & Genli Tang & Xiaoxiao Zhou & Xingchen Hu & Li Sui, 2023. "How does financial agglomeration affect green development? Evidence from the Yangtze River Delta of China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 135-156, March.
    12. Nina Sakinah Ahmad Rofaie & Seuk Wai Phoong & Muzalwana Abdul Talib @ Abdul Mutalib, 2022. "Light-Emitting Diode (LED) versus High-Pressure Sodium Vapour (HPSV) Efficiency: A Data Envelopment Analysis Approach with Undesirable Output," Energies, MDPI, vol. 15(13), pages 1-21, June.

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    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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