IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/12160.html
   My bibliography  Save this book chapter

How Can Policy Encourage Economically Sensible Climate Adaptation?

In: The Design and Implementation of US Climate Policy

Author

Listed:
  • V. Kerry Smith

Abstract

This paper considers the role of incentive based climate adaptation policies. It uses the early literature on pricing and capacity choices under demand uncertainty to describe how revised price structures for the substitutes for climate services can be treated as anticipatory adaptation. In many situations the policies determining the prices of these services make them difficult to adjust. Thus, excess demand will not be managed through price adjustment. This situation is important because it implies that the rationing rules determining who is served influence both capacity planning and pricing decisions. The lesson drawn from these models is that reform of pricing policy for climate substitutes offers a ready basis for incentive based adaptation policy. The last part of the paper offers some empirical evidence on how the price elasticity of the residential demand for water changes with variations in seasonal precipitation. The findings suggest marked differences between normal and dry conditions for the Phoenix metropolitan area. These results reinforce the need to co-ordinate changes in pricing policy with any capacity planning developed for water supplies as part of anticipatory climate adaptation. Similar relationships may well apply for other substitutes for climatic services.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • V. Kerry Smith, 2011. "How Can Policy Encourage Economically Sensible Climate Adaptation?," NBER Chapters, in: The Design and Implementation of US Climate Policy, pages 229-242, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:12160
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c12160.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    2. Carlton, Dennis W, 1977. "Peak Load Pricing with Stochastic Demand," American Economic Review, American Economic Association, vol. 67(5), pages 1006-1010, December.
    3. Fankhauser, Samuel & Smith, Joel B. & Tol, Richard S. J., 1999. "Weathering climate change: some simple rules to guide adaptation decisions," Ecological Economics, Elsevier, vol. 30(1), pages 67-78, July.
    4. Olmstead, Sheila M. & Michael Hanemann, W. & Stavins, Robert N., 2007. "Water demand under alternative price structures," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 181-198, September.
    5. Howe Charles W. & Smith Mark Griffin & Bennett Lynne & Brendecke Charles M. & Flack J. Ernest & Hamm Robert M. & Mann Roger & Rozaklis Lee & Wunderlich Karl, 1994. "The Value of Water Supply Reliability in Urban Water Systems," Journal of Environmental Economics and Management, Elsevier, vol. 26(1), pages 19-30, January.
    6. Visscher, Michael L, 1973. "Welfare-Maximizing Price and Output with Stochastic Demand: Comment," American Economic Review, American Economic Association, vol. 63(1), pages 224-229, March.
    7. Brown, Gardner, Jr & Johnson, M Bruce, 1969. "Public Utility Pricing and Output under Risk," American Economic Review, American Economic Association, vol. 59(1), pages 119-128, March.
    8. Earle, Robert & Kahn, Edward P. & Macan, Edo, 2009. "Measuring the Capacity Impacts of Demand Response," The Electricity Journal, Elsevier, vol. 22(6), pages 47-58, July.
    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. Buscemi, Antonino & Yallwe, Alem Hagos, 2011. "It is time to re-think on environment, energy and economics (E3)," MPRA Paper 30998, University Library of Munich, Germany.

    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. Mier, Mathias, 2021. "Efficient pricing of electricity revisited," Energy Economics, Elsevier, vol. 104(C).
    2. Klaus Eisenack & Mathias Mier, 2019. "Peak-load pricing with different types of dispatchability," Journal of Regulatory Economics, Springer, vol. 56(2), pages 105-124, December.
    3. David, Laurent & Le Breton, Michel & Merillon, Olivier, 2007. "Public Utility Pricing and Capacity Choice with Stochastic Demand," IDEI Working Papers 489, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Mark W. Gellerson & Shawna P. Grosskopf, 1980. "Public Utility Pricing, Investment, and Reliability under Uncertainty: A Review," Public Finance Review, , vol. 8(4), pages 477-492, October.
    5. W. Tom Whalen & Dennis W. Carlton & Ken Heyer & Oliver Richard, 2007. "Proposal For A Market-Based Solution to Airport Delays," EAG Competition Advocacy Papers 200714, Department of Justice, Antitrust Division.
    6. John Hoven, 2007. "Anticompetitive Restraints on Public Charter Schools," EAG Competition Advocacy Papers 200711, Department of Justice, Antitrust Division.
    7. Chao, Hung-po, 2011. "Efficient pricing and investment in electricity markets with intermittent resources," Energy Policy, Elsevier, vol. 39(7), pages 3945-3953, July.
    8. Mathias Mier, 2018. "Policy Implications of a World with Renewables, Limited Dispatchability, and Fixed Load," Working Papers V-412-18, University of Oldenburg, Department of Economics, revised Jul 2018.
    9. Heidi K. Edmonds & C. A. Knox Lovell & Julie E. Lovell, 2022. "The Inequities of National Adaptation to Climate Change," Resources, MDPI, vol. 12(1), pages 1-26, December.
    10. N. Vijayaymohanan Pillai, 2002. "Reliability and rationing cost in a power system," Centre for Development Studies, Trivendrum Working Papers 325, Centre for Development Studies, Trivendrum, India.
    11. Diego Escobari & Jim Lee, 2014. "Demand uncertainty and capacity utilization in airlines," Empirical Economics, Springer, vol. 47(1), pages 1-19, August.
    12. Meunier, Guy, 2010. "Capacity choice, technology mix and market power," Energy Economics, Elsevier, vol. 32(6), pages 1306-1315, November.
    13. Fred Schroyen & Adekola Oyenuga, 2011. "Optimal pricing and capacity choice for a public service under risk of interruption," Journal of Regulatory Economics, Springer, vol. 39(3), pages 252-272, June.
    14. María Angeles García Valiñas, 2004. "Eficiencia y equidad en el diseño de precios óptimos para bienes y servicios públicos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 168(1), pages 95-119, march.
    15. Steven Buck & Maximilian Auffhammer & Stephen Hamilton & David Sunding, 2016. "Measuring Welfare Losses from Urban Water Supply Disruptions," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 743-778.
    16. Maxime C. Cohen & Georgia Perakis & Charles Thraves, 2022. "Consumer Surplus Under Demand Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 478-494, February.
    17. Adrienne Ohler & Hayley Chouinard & Jonathan Yoder, 2014. "Interest group incentives for post-lottery trade restrictions," Journal of Regulatory Economics, Springer, vol. 45(3), pages 281-304, June.
    18. Diego Escobari, 2012. "Dynamic Pricing, Advance Sales and Aggregate Demand Learning in Airlines," Journal of Industrial Economics, Wiley Blackwell, vol. 60(4), pages 697-724, December.
    19. Venizelou, Venizelos & Philippou, Nikolas & Hadjipanayi, Maria & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2018. "Development of a novel time-of-use tariff algorithm for residential prosumer price-based demand side management," Energy, Elsevier, vol. 142(C), pages 633-646.
    20. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.

    More about this item

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:nbr:nberch:12160. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.