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Towards a new index for environmental sustainability based on a DALY weighting approach

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  • Isabelle Blanc
  • Damien Friot
  • Manuele Margni
  • Olivier Jolliet

Abstract

Composite indicators are synthetic indices that are used to rank country performances in specific policy areas. Many do, however, suffer from methodological difficulties. Specific difficulties linked to indices for environmental sustainability are analyzed through the illustration of several sets. The most critical issues are linked with a poor analytical framework and a lack of common unit for the aggregation. Some measure directly the state of the environment while other use proxies such as pressure or response indicators or even a mix of these. A new composite index for environmental sustainability was developed in the EU project EPSILON, which aimed at assessing European regional sustainability for policy decision making related to the improvement of regional sustainability. Indicators are expressed according to a coherent framework issuing from the 'driving force-pressure-state-impact-response' approach with an innovative weighting scheme derived from human health impact assessment based on disability adjusted life years (DALYs). Results are compared with a more conventional aggregation technique based on an equal weighting coupled to various normalization techniques. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.

Suggested Citation

  • Isabelle Blanc & Damien Friot & Manuele Margni & Olivier Jolliet, 2008. "Towards a new index for environmental sustainability based on a DALY weighting approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 16(4), pages 251-260.
    • Handle: RePEc:wly:sustdv:v:16:y:2008:i:4:p:251-260
    DOI: 10.1002/sd.376
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    References listed on IDEAS

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    1. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
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    1. Joel A. Martínez-Regalado & Cinthia Leonora Murillo-Avalos & Purificación Vicente-Galindo & Mónica Jiménez-Hernández & José Luis Vicente-Villardón, 2021. "Using HJ-Biplot and External Logistic Biplot as Machine Learning Methods for Corporate Social Responsibility Practices for Sustainable Development," Mathematics, MDPI, vol. 9(20), pages 1-16, October.
    2. Giannetti, Biagio F. & Sevegnani, Fábio & Almeida, Cecília M.V.B. & Agostinho, Feni & Moreno García, Roberto R. & Liu, Gengyuan, 2019. "Five sector sustainability model: A proposal for assessing sustainability of production systems," Ecological Modelling, Elsevier, vol. 406(C), pages 98-108.
    3. Golušin, Mirjana & Munitlak Ivanović, Olja & Redžepagić, Srdjan, 2013. "Transition from traditional to sustainable energy development in the region of Western Balkans – Current level and requirements," Applied Energy, Elsevier, vol. 101(C), pages 182-191.
    4. Stebbings, Emily & Hooper, Tara & Austen, Melanie C. & Papathanasopoulou, Eleni & Yan, Xiaoyu, 2021. "Accounting for benefits from natural capital: Applying a novel composite indicator framework to the marine environment," Ecosystem Services, Elsevier, vol. 50(C).

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