IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-03-55.html
   My bibliography  Save this paper

Controlling Ozone and Fine Particulates: Cost Benefit Analysis with Meteorological Variability

Author

Listed:
  • Krupnick, Alan

    () (Resources for the Future)

  • Shih, Jhih-Shyang

    () (Resources for the Future)

  • Bergin, S.
  • Russell, Armistead

Abstract

In this paper, we develop an integrated cost-benefit analysis framework for ozone and fine particulate control, accounting for variability and uncertainty. The framework includes air quality simulation, sensitivity analysis, stochastic multi-objective air quality management, and stochastic cost-benefit analysis. This paper has two major contributions. The first is the development of stochastic source-receptor (S-R) coefficient matrices for ozone and fine particulate matter using an advanced air quality simulation model (URM-1ATM) and an efficient sensitivity algorithm (DDM-3D). The second is a demonstration of this framework for alternative ozone and PM2.5 reduction policies. Alternative objectives of the stochastic air quality management model include optimization of the net social benefits and maximization of the reliability of satisfying certain air quality goals. We also examine the effect of accounting for distributional concerns.

Suggested Citation

  • Krupnick, Alan & Shih, Jhih-Shyang & Bergin, S. & Russell, Armistead, 2003. "Controlling Ozone and Fine Particulates: Cost Benefit Analysis with Meteorological Variability," Discussion Papers dp-03-55, Resources For the Future.
  • Handle: RePEc:rff:dpaper:dp-03-55
    as

    Download full text from publisher

    File URL: http://www.rff.org/RFF/documents/RFF-DP-03-55.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Krupnick, Alan & McConnell, Virginia & Stoessell, Terrell & Cannon, Matthew & Batz, Michael, 2000. "Cost-Effective NOx Control in the Eastern United States," Discussion Papers dp-00-18, Resources For the Future.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    ambient air; ozone; particulate matter; risk management; public policy; cost-benefit analysis; variability and uncertainty; stochastic simulation; stochastic multi-objective programming; decisionmaking; National Ambient Air Quality Standards;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rff:dpaper:dp-03-55. 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: (Webmaster). General contact details of provider: http://edirc.repec.org/data/degraus.html .

    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.