IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v5y1973i3p339-356.html
   My bibliography  Save this article

Economic Models of Industrial Pollution Control in Regional Planning

Author

Listed:
  • D P Tihansky

    (Implementation Research Division, Office of Research and Monitoring, Environmental Protection Agency, Washington DC 20460, USA)

Abstract

A general theoretical model is presented for the determination of optimal regional growth and pollution control levels over a multiperiod time horizon. The problem is stated as the maximization of total profits of regional firms subject to constraints of ambient environmental quality and resource scarcity for production and abatement activities. The model assumes that environmental quality is stochastic by incorporating variable factors of dilution or assimilation in the constraint set. This model is expressed as a stochastic nonlinear programming problem, which by suitable mathematical transformations is reduced to a deterministic linear programming model. Solutions to the model show the economic impacts of uniform versus efficient treatment standards, time delays on waste control enforcement, and statistical properties of the dilution factors.

Suggested Citation

  • D P Tihansky, 1973. "Economic Models of Industrial Pollution Control in Regional Planning," Environment and Planning A, , vol. 5(3), pages 339-356, June.
  • Handle: RePEc:sae:envira:v:5:y:1973:i:3:p:339-356
    DOI: 10.1068/a050339
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a050339
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a050339?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:sae:envira:v:5:y:1973:i:3:p:339-356. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.