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Spatiotemporal analysis of ethanol market penetration

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  • Du, Xiaodong
  • Carriquiry, Miguel A.

Abstract

Consumption of ethanol in the United States has increased rapidly over the last few years, fueled by both higher crude oil prices and generous public support measures for renewable fuels. The contribution of ethanol to the transport energy mix varies markedly by state. Heterogeneity in ethanol adoption and market development is investigated using a hierarchical, spatiotemporal model. A Bayesian Markov chain Monte Carlo method is employed for estimation of the proposed flexible model structure. Besides spatial dependence among neighboring states, differential inclusion rates of ethanol are found to be largely determined by national- and state-level biofuel incentive policies, relative gasoline prices, feedstock availability, household median income, MTBE bans, and density of fuel retail infrastructure. Our findings imply that increasing renewable fuel support as well as investing in extending the transportation and fuel retail infrastructure can result in higher ethanol consumption.

Suggested Citation

  • Du, Xiaodong & Carriquiry, Miguel A., 2013. "Spatiotemporal analysis of ethanol market penetration," Energy Economics, Elsevier, vol. 38(C), pages 128-135.
    • Handle: RePEc:eee:eneeco:v:38:y:2013:i:c:p:128-135
    DOI: 10.1016/j.eneco.2013.03.012
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    References listed on IDEAS

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    1. Anderson, Soren T., 2012. "The demand for ethanol as a gasoline substitute," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 151-168.
    2. Thomas P. Lyon & Haitao Yin, 2010. "Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 133-158.
    3. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    4. Clark P. Bishop & C. Richard Shumway & Philip R. Wandschneider, 2010. "Agent Heterogeneity in Adoption of Anaerobic Digestion Technology: Integrating Economic, Diffusion, and Behavioral Innovation Theories," Land Economics, University of Wisconsin Press, vol. 86(3).
    5. Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2007. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9780521671736, June.
    6. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    7. Barry K. Goodwin & Nicholas E. Piggott, 2009. "Spatiotemporal Modeling of Asian Citrus Canker Risks: Implications for Insurance and Indemnification Fund Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1038-1055.
    8. Chad Cotti & Mark Skidmore, 2010. "The Impact of State Government Subsidies and Tax Credits in an Emerging Industry: Ethanol Production 1980–2007," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 1076-1093, April.
    9. Chan,Joshua & Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2019. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9781108423380.
    10. Szulczyk, Kenneth R. & McCarl, Bruce A., 2010. "Market penetration of biodiesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2426-2433, October.
    11. Duffield, James A. & Collins, Keith J., 2006. "Evolution of Renewable Energy Policy," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 21(1), pages 1-6.
    12. Corts, Kenneth S., 2010. "Building out alternative fuel retail infrastructure: Government fleet spillovers in E85," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 219-234, May.
    13. Paulo Albuquerque & Bart J. Bronnenberg & Charles J. Corbett, 2007. "A Spatiotemporal Analysis of the Global Diffusion of ISO 9000 and ISO 14000 Certification," Management Science, INFORMS, vol. 53(3), pages 451-468, March.
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    Cited by:

    1. Jiranyakul, Komain, 2022. "Ethanol Use and Gasoline Consumption in Thailand," MPRA Paper 115503, University Library of Munich, Germany.

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    More about this item

    Keywords

    Biofuel incentive policy; Ethanol adoption; Gibbs sampler; Neighboring effect; Spatial autocorrelation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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