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Regulatory Tailoring, Reliability, and Price Volatility with Stochastic Breakdowns

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  • Gruenspecht, Howard

Abstract

Although real-world energy supply systems are subject to stochastic failures, the impacts of proposed regulations affecting these systems have typically been evaluated using non-stochastic models. This paper develops an energy market model that explicitly allows for stochastic failures and demonstrates they play an important, or even dominant, role in determining the market impacts of environmental regulations that tailor product specifications to address local or regional conditions, such as fuel-formulation requirements specific to certain regional markets within the United States. While traditional non-stochastic analyses view the tailoring of regulatory requirements by location as an efficiency-enhancing alternative to a "one size fits all" regulatory approach, they fail to consider the adverse impact on reliability in all market segments resulting from the loss of product fungibility due to tailoring. We show that regulatory impact estimates developed without explicit consideration of reliability considerations may be highly inaccurate.

Suggested Citation

  • Gruenspecht, Howard, 2002. "Regulatory Tailoring, Reliability, and Price Volatility with Stochastic Breakdowns," RFF Working Paper Series dp-02-37, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-02-37
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    References listed on IDEAS

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    1. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    2. Sheshinski, Eytan & Dreze, Jacques H, 1976. "Demand Fluctuations, Capacity Utilization, and Costs," American Economic Review, American Economic Association, vol. 66(5), pages 731-742, December.
    3. Deaton, Angus & Laroque, Guy, 1996. "Competitive Storage and Commodity Price Dynamics," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 896-923, October.
    4. Kenneth J. Arrow & David Levhari & Eytan Sheshinski, 1972. "A Production Function for the Repairman Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 39(3), pages 241-249.
    5. Michael Rothschild & Gregory J. Werden, 1979. "Returns to Scale From Random Factor Services: Existence and Scope," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 329-335, Spring.
    6. Levhari, David & Sheshinski, Eytan, 1970. "A Microeconomic Production Function," Econometrica, Econometric Society, vol. 38(3), pages 559-573, May.
    7. Mulligan, James G, 1983. "The Economies of Massed Reserves," American Economic Review, American Economic Association, vol. 73(4), pages 725-734, September.
    8. Mulligan, James G., 1986. "Technical change and scale economies given stochastic demand and production," International Journal of Industrial Organization, Elsevier, vol. 4(2), pages 189-201, June.
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    More about this item

    Keywords

    reliability; boutique fuels; gasoline price spikes; stochastic failures; environmental regulation; tailored regulation;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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