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On the Dynamics of Recycling and Natural Resources

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  • Francisco André
  • Emilio Cerdá

Abstract

We study the dynamic impact of recycling through its effect on the production set of the economy and its relationship with natural resources. The contribution of renewable and recyclable resources for sustainability is studied. Although in the short run recycling may alleviate resource scarcity, in the long run it is not enough to compensate for the exhaustibility of non-renewable resources and the possibility of obtaining non-decreasing output paths crucially depends on the extent to which production rests on renewable resources. Furthermore, recycling interacts with natural resource growth, surprisingly not always favoring sustainability. The Production and Recycling Function is a generalization of the traditional production function, providing an integrated view of regular production and recycling and representing the production set of the economy when a recycling technology is available. Copyright Springer 2006

Suggested Citation

  • Francisco André & Emilio Cerdá, 2006. "On the Dynamics of Recycling and Natural Resources," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(2), pages 199-221, February.
    • Handle: RePEc:kap:enreec:v:33:y:2006:i:2:p:199-221
    DOI: 10.1007/s10640-005-3107-1
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    References listed on IDEAS

    as
    1. Andre, Francisco J. & Cerda, Emilio, 2005. "On natural resource substitution," Resources Policy, Elsevier, vol. 30(4), pages 233-246, December.
    2. Pezzey, J., 1992. "Sustainable Development Concepts; An Economic Analysis," Papers 2, World Bank - The World Bank Environment Paper.
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    Citations

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    Cited by:

    1. Roumasset James & Wada Christopher A, 2011. "Ordering Renewable Resources: Groundwater, Recycling, and Desalination," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-29, May.
    2. Ba, Bocar Samba & Soubeyran, Raphael, 2023. "Hotelling and recycling," Resource and Energy Economics, Elsevier, vol. 72(C).
    3. Ba, Bocar Samba & Combes-Motel, Pascale & Schwartz, Sonia, 2020. "Challenging pollution and the balance problem from rare earth extraction: how recycling and environmental taxation matter," Environment and Development Economics, Cambridge University Press, vol. 25(6), pages 634-656, December.
    4. Bocar Samba Ba & Philippe Mahenc, 2019. "Is Recycling a Threat or an Opportunity for the Extractor of an Exhaustible Resource?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1109-1134, August.
    5. Lafforgue, Gilles & Rouge, Luc, 2019. "A dynamic model of recycling with endogenous technological breakthrough," Resource and Energy Economics, Elsevier, vol. 57(C), pages 101-118.
    6. Cogoy, Mario, 2009. "A Model of Eco-Efficiency and Recycling," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-30.
    7. Roumasset James & Wada Christopher A, 2011. "Ordering Renewable Resources: Groundwater, Recycling, and Desalination," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-29, May.
    8. Francisco J. André & Emilio Cerdá, 2005. "Gestión de residuos sólidos urbanos: Análisis económico y políticas públicas," Economic Working Papers at Centro de Estudios Andaluces E2005/23, Centro de Estudios Andaluces.

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    More about this item

    Keywords

    natural resources; optimal control; production; recycling; technology; Q20; Q30; C61;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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