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A European model for waste and material flows

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  • Andersen, Frits Møller
  • Larsen, Helge
  • Skovgaard, Mette
  • Moll, Stephan
  • Isoard, Stéphane

Abstract

The use of materials and the generation of waste are linked to economic activities and in many projections these are assumed to be a constant ratio of the economic activities. This may be the case considering detailed economic activities and unchanged technology. However, the assumption of constant coefficients is questionable when linking material use and waste generation to aggregated economic activities. Therefore, in this paper, econometrics is used to test the assumption of constant waste coefficients empirically. The analyses show that an assumption of constant waste coefficients is not supported, generally, and a model allowing for trendwise changing coefficients is developed and used for projections of waste and material flows in 25 European countries.

Suggested Citation

  • Andersen, Frits Møller & Larsen, Helge & Skovgaard, Mette & Moll, Stephan & Isoard, Stéphane, 2007. "A European model for waste and material flows," Resources, Conservation & Recycling, Elsevier, vol. 49(4), pages 421-435.
    • Handle: RePEc:eee:recore:v:49:y:2007:i:4:p:421-435
    DOI: 10.1016/j.resconrec.2006.05.011
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    References listed on IDEAS

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    1. Christer Berglund & Patrik Söderholm, 2003. "An Econometric Analysis of Global Waste Paper Recovery and Utilization," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(3), pages 429-456, November.
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    Cited by:

    1. Gi-Wook Cha & Hyeun Jun Moon & Young-Min Kim & Won-Hwa Hong & Jung-Ha Hwang & Won-Jun Park & Young-Chan Kim, 2020. "Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets," IJERPH, MDPI, vol. 17(19), pages 1-15, September.
    2. Mazzanti, Massimiliano & Zoboli, Roberto, 2008. "Waste generation, waste disposal and policy effectiveness," Resources, Conservation & Recycling, Elsevier, vol. 52(10), pages 1221-1234.
    3. Filippo Vitolla & Vitiana L’Abate & Felice Petruzzella & Nicola Raimo & Antonio Salvi, 2023. "Circular Economy Disclosure in Sustainability Reporting: The Effect of Firm Characteristics," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    4. Fan, Yupeng & Qiao, Qi & Chen, Weiping, 2017. "Unified network analysis on the organization of an industrial metabolic system," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 9-16.
    5. Gi-Wook Cha & Choon-Wook Park & Young-Chan Kim & Hyeun Jun Moon, 2023. "Predicting Generation of Different Demolition Waste Types Using Simple Artificial Neural Networks," Sustainability, MDPI, vol. 15(23), pages 1-22, November.
    6. Gi-Wook Cha & Won-Hwa Hong & Se-Hyu Choi & Young-Chan Kim, 2023. "Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    7. Mazzanti, Massimiliano & Montini, Anna & Nicolli, Francesco, 2009. "The dynamics of landfill diversion: Economic drivers, policy factors and spatial issues," Resources, Conservation & Recycling, Elsevier, vol. 54(1), pages 53-61.
    8. Andersen, Frits Møller & Larsen, Helge V., 2012. "FRIDA: A model for the generation and handling of solid waste in Denmark," Resources, Conservation & Recycling, Elsevier, vol. 65(C), pages 47-56.

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    More about this item

    Keywords

    Econometric analysis; Environmental modelling and projections; Waste and material flows;
    All these keywords.

    JEL classification:

    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices

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