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Welfare maximization, pricing, and allocation with a product performance or environmental quality standard: Illustration for the gasoline and additives market

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  • Gallagher, Paul W.
  • Shapouri, Hosein
  • Price, Jeffrey

Abstract

Programming models approximate market prices and quantities when regulations constrain firm choices, because market outcomes result when welfare is appropriately defined and includes performance and environmental constraints. This study discusses market operation in quality-constrained sectors, like gasoline and additives; processors expand output until marginal processing cost equals the processing margin between product revenues and raw material costs; retailers who buy gasoline and additives from processors and sell blended retail gasoline price sales at a marginal cost that includes the blended input value plus adjustments for values of constrained attributes; and market supplies and demands of measurable attributes like octane are balanced. This method can enhance predictions about the effects of new policies that regulate product quality. Analysis can now include price and output adjustment in factor and product markets, and the competitiveness of new processes and products.

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  • Gallagher, Paul W. & Shapouri, Hosein & Price, Jeffrey, 2006. "Welfare maximization, pricing, and allocation with a product performance or environmental quality standard: Illustration for the gasoline and additives market," ISU General Staff Papers 200606010700001452, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:200606010700001452
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    References listed on IDEAS

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    Cited by:

    1. Gallagher, Paul W., 2009. "Roles for Evolving Markets, Policies, and Technology Improvements in U.S. Corn Ethanol Industry Development," ISU General Staff Papers 200901010800001495, Iowa State University, Department of Economics.
    2. Vedenov, Dmitry & Wetzstein, Michael, 2008. "Toward an optimal U.S. ethanol fuel subsidy," Energy Economics, Elsevier, vol. 30(5), pages 2073-2090, September.

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