IDEAS home Printed from https://ideas.repec.org/p/ags/rffdps/10735.html
   My bibliography  Save this paper

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

Author

Listed:
  • Shih, Jhih-Shyang
  • Bergin, Michelle S.
  • Krupnick, Alan J.
  • Russell, Armistead G.

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

  • Shih, Jhih-Shyang & Bergin, Michelle S. & Krupnick, Alan J. & Russell, Armistead G., 2003. "Controlling Ozone and Fine Particulates: Cost Benefit Analysis with Meteorological Variability," Discussion Papers 10735, Resources for the Future.
    • Handle: RePEc:ags:rffdps:10735
    DOI: 10.22004/ag.econ.10735
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/10735/files/dp030055.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.10735?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
    ---><---

    Other versions of this item:

    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," RFF Working Paper Series dp-00-18, Resources for the Future.
    2. Harvey J. Greenberg, 1995. "Mathematical Programming Models for Environmental Quality Control," Operations Research, INFORMS, vol. 43(4), pages 578-622, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chao-Ning Liao, 2009. "Technology adoption decisions under a mixed regulatory system of tradable permits and air pollution fees for the control of Total Suspended Particulates in Taiwan," Journal of Regulatory Economics, Springer, vol. 35(2), pages 135-153, April.
    2. Liao, Chao-Ning, 2007. "Modelling a mixed system of air pollution fee and tradable permits for controlling nitrogen oxide: a case study of Taiwan," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 1-16.
    3. Meredith Fowlie, 2010. "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement," American Economic Review, American Economic Association, vol. 100(3), pages 837-869, June.
    4. Fowlie, Meredith, 2005. "Emissions Trading, Electricity Industry Restructuring and Investment in Pollution Abatement," 2005 Annual meeting, July 24-27, Providence, RI 19265, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Burtraw, Dallas & Evans, David A., 2003. "The Evolution of NOx Control Policy for Coal-Fired Power Plants in the United States," Discussion Papers 10645, Resources for the Future.
    6. Burtraw, Dallas & Palmer, Karen & Bharvirkar, Ranjit & Paul, Anthony, 2001. "Cost-Effective Reduction of NOx Emissions from Electricity Generation," RFF Working Paper Series dp-00-55-rev, Resources for the Future.
    7. Cooper, W. W. & Hemphill, H. & Huang, Z. & Li, S. & Lelas, V. & Sullivan, D. W., 1997. "Survey of mathematical programming models in air pollution management," European Journal of Operational Research, Elsevier, vol. 96(1), pages 1-35, January.
    8. Tang, Christopher S. & Zhou, Sean, 2012. "Research advances in environmentally and socially sustainable operations," European Journal of Operational Research, Elsevier, vol. 223(3), pages 585-594.
    9. Makowski, Marek, 2005. "A structured modeling technology," European Journal of Operational Research, Elsevier, vol. 166(3), pages 615-648, November.
    10. Newell, Richard G & Stavins, Robert N, 2003. "Cost Heterogeneity and the Potential Savings from Market-Based Policies," Journal of Regulatory Economics, Springer, vol. 23(1), pages 43-59, January.
    11. Daniel, S. E. & Diakoulaki, D. C. & Pappis, C. P., 1997. "Operations research and environmental planning," European Journal of Operational Research, Elsevier, vol. 102(2), pages 248-263, October.
    12. Chao-Ning Liao, 2007. "Modelling a mixed system of air pollution fee and tradable permits for controlling nitrogen oxide: a case study of Taiwan ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 475-490, December.
    13. Welsch, Heinz, 2007. "Environmental welfare analysis: A life satisfaction approach," Ecological Economics, Elsevier, vol. 62(3-4), pages 544-551, May.
    14. Ben Sadiki & Fabien Ilunga & Michel Shengo, 2023. "Dispersal Mechanisms of Trace Metal Elements in the Environment: The Case of Mineral Wastes Stored in Tshamilemba District of the City of Lubumbashi, DR Congo," Sustainability, MDPI, vol. 15(5), pages 1-18, March.
    15. Stavins, Robert & Newell, Richard, 2000. "Abatement-Cost Heterogeneity and Anticipated Savings from Market-Based Environmental Policies," Working Paper Series rwp00-006, Harvard University, John F. Kennedy School of Government.
    16. Burtraw, Dallas & Bharvirkar, Ranjit & McGuinness, Meghan, 2001. "Uncertainty and the Cost-Effectiveness of Regional NOx Emissions Reductions from Electricity Generation," Discussion Papers 10846, Resources for the Future.
    17. Antweiler, Werner & Gulati, Sumeet, 2015. "Scrapping for clean air: Emissions savings from the BC SCRAP-IT program," Journal of Environmental Economics and Management, Elsevier, vol. 71(C), pages 198-214.
    18. Shih, Jhih-Shyang & Krupnick, Alan J. & Bergin, Michelle S. & Russell, Armistead G., 2004. "Source-Receptor Relationships for Ozone and Fine Particulates in the Eastern United States," Discussion Papers 10572, Resources for the Future.
    19. Rajesh, R., 2020. "Sustainable supply chains in the Indian context: An integrative decision-making model," Technology in Society, Elsevier, vol. 61(C).
    20. Kumar Rajaram & Charles J. Corbett, 2002. "Achieving Environmental and Productivity Improvements Through Model-Based Process Redesign," Operations Research, INFORMS, vol. 50(5), pages 751-763, October.

    More about this item

    Keywords

    Environmental Economics and Policy;

    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

    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:ags:rffdps:10735. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.html .

    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.