IDEAS home Printed from https://ideas.repec.org/p/tiu/tiucen/812d24f5-7962-4dac-989e-1c99c7285c4c.html
   My bibliography  Save this paper

Landfill Construction and Capacity Expansion

Author

Listed:
  • Andre, F.J.
  • Cerda, E.

Abstract

We study the optimal capacity and lifetime of landfills taking into account their sequential nature.Such an optimal capacity is characterized by the so-called Optimal Capacity Condition.Particular versions of this condition are obtained for two alternative settings: first, if all the landfills are to have the same capacity, and second, if each of them is allowed to have a different capacity.In the second case we obtain an Optimal Control problem, with mixed elements of both continuous and discrete time.The resulting optimization problems involve dividing a time horizon of planning into several subintervals of endogenously decided length.The results obtained may be useful to address other economic problems such as private and public investments, consumption decisions on durable goods, etc.

Suggested Citation

  • Andre, F.J. & Cerda, E., 2003. "Landfill Construction and Capacity Expansion," Discussion Paper 2003-115, Tilburg University, Center for Economic Research.
  • Handle: RePEc:tiu:tiucen:812d24f5-7962-4dac-989e-1c99c7285c4c
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/portal/files/599225/115.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hartwick, John M, 1978. "Exploitation of Many Deposits of an Exhaustible Resource," Econometrica, Econometric Society, vol. 46(1), pages 201-217, January.
    2. Hartwick, John M. & Kemp, Murray C. & Van Long, Ngo, 1986. "Set-up costs and theory of exhaustible resources," Journal of Environmental Economics and Management, Elsevier, vol. 13(3), pages 212-224, September.
    3. Anni Huhtala, 1997. "A Post-Consumer Waste Management Model for Determining Optimal Levels of Recycling and Landfilling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 10(3), pages 301-314, October.
    4. Weitzman, Martin L., 1976. "The optimal development of resource pools," Journal of Economic Theory, Elsevier, vol. 12(3), pages 351-364, June.
    5. Ready Mark J. & Ready Richard C., 1995. "Optimal Pricing of Depletable, Replaceable Resources: The Case of Landfill Tipping Fees," Journal of Environmental Economics and Management, Elsevier, vol. 28(3), pages 307-323, May.
    6. Gerard Gaudet & Michel Moreaux & Stephen W. Salant, 2001. "Intertemporal Depletion of Resource Sites by Spatially Distributed Users," American Economic Review, American Economic Association, vol. 91(4), pages 1149-1159, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massimiliano Mazzanti & Anna Montini & Francesco Nicolli, 2010. "Waste Generation and Landfill Diversion Dynamics: Decentralised Management and Spatial Effects," Working Papers 2010.27, Fondazione Eni Enrico Mattei.
    2. Francisco André & Francisco Velasco & Luis Gonzalez-Abril, 2009. "Intertemporal and spatial location of disposal facilities," Spanish Economic Review, Springer;Spanish Economic Association, vol. 11(1), pages 23-49, March.
    3. Massimiliano Mazzanti & Anna Montini & Francesco Nicolli, 2011. "Embedding landfill diversion in economic, geographical and policy settings," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3299-3311.
    4. Massimiliano Mazzanti & Roberto Zoboli, 2009. "Municipal Waste Kuznets Curves: Evidence on Socio-Economic Drivers and Policy Effectiveness from the EU," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(2), pages 203-230, October.
    5. Massimiliano Mazzanti & Anna Montini & Francesco Nicolli, 2008. "Embedding Landfill Diversion in Economic, Geographical and Policy Settings Panel based evidence from Italy," Working Papers 2008.71, Fondazione Eni Enrico Mattei.

    More about this item

    Keywords

    investements; resources; capacity; costs;

    JEL classification:

    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tiu:tiucen:812d24f5-7962-4dac-989e-1c99c7285c4c. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Richard Broekman). General contact details of provider: http://center.uvt.nl .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.