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Cost pass-through to higher ethanol blends at the pump: Evidence from Minnesota gas station data

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  • Li, Jing
  • Stock, James H.

Abstract

We examine the pass-through of wholesale prices to retail prices in the market for E85, which contains 51%–83% ethanol, and in the much larger market for E10, which contains 10% ethanol. We use a panel dataset consisting of monthly observations from 2007 to March 2015 on wholesale and retail prices for 274 Minnesota gas stations that sell both E10 and E85. Consistent with prior research, the cumulative pass-through coefficient for E10 is 1.00 after one month. In contrast, the E85 market is sparse, and although pass-through increased over time, we estimate it to be only 0.53 statewide from 2012 to 2015. Pass-through is higher at stations with more local E85 competitors. In the Twin Cities, which has a high density of E85 stations, pass-through is nearly complete, but outside the Twin Cities slightly less than half the wholesale discount of E85, relative to E10, is passed on to the consumer.

Suggested Citation

  • Li, Jing & Stock, James H., 2019. "Cost pass-through to higher ethanol blends at the pump: Evidence from Minnesota gas station data," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 1-19.
  • Handle: RePEc:eee:jeeman:v:93:y:2019:i:c:p:1-19
    DOI: 10.1016/j.jeem.2018.08.003
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    2. Wardle, Arthur R. & Akhundjanov, Sherzod B., 2022. "Industry Compliance Costs Under the Renewable Fuel Standard: Evidence from Compliance Credits," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322199, Agricultural and Applied Economics Association.
    3. Cutz, L. & Tomei, J. & Nogueira, L.A.H., 2020. "Understanding the failures in developing domestic ethanol markets: Unpacking the ethanol paradox in Guatemala," Energy Policy, Elsevier, vol. 145(C).
    4. Luo, Jinjing & Moschini, GianCarlo, 2019. "Pass-through of the policy-induced E85 subsidy: Insights from Hotelling's model," Energy Economics, Elsevier, vol. 84(C).
    5. Harju, Jarkko & Kosonen, Tuomas & Laukkanen, Marita & Palanne, Kimmo, 2022. "The heterogeneous incidence of fuel carbon taxes: Evidence from station-level data," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    6. Felix Montag & Alina Sagimuldina & Monika Schnitzer, 2021. "Does Tax Policy Work When Consumers Have Imperfect Price Information? Theory and Evidence," CESifo Working Paper Series 9138, CESifo.
    7. Burkhardt, Jesse, 2019. "The impact of the Renewable Fuel Standard on US oil refineries," Energy Policy, Elsevier, vol. 130(C), pages 429-437.
    8. Aldy, Joseph E. & Auffhammer, Maximillian & Cropper, Maureen L. & Fraas, Arthur G. & Morgenstern, Richard D., 2020. "Looking Back at Fifty Years of the Clean Air Act," RFF Working Paper Series 20-01, Resources for the Future.
    9. Scott Parrott, 2023. "Comparing Price Transmissions between a High Blend Ethanol Fuel and a Conventional Fuel: An Application of Seemingly Unrelated Regressions," Sustainability, MDPI, vol. 15(22), pages 1-14, November.
    10. Tokgoz, Simla & Traoré, Fousseini, 2023. "Understanding E10 markets in the U.S.: Evidence from spatial data," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1267-1281.

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    More about this item

    Keywords

    Fuels markets; Energy prices; E85; E10; Retail fuel spreads; Pass-through;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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