IDEAS home Printed from https://ideas.repec.org/p/ags/ndtr10/207248.html

Spatial Patterns in Household Demand for Ethanol

Author

Listed:
  • Khachatryan, Hayk
  • Jessup, Eric
  • Casavant, Kenneth

Abstract

The recent rise in public environmental awareness, concerns of national energy security, and high transportation fuel prices have all served to heighten the interest in alternative fuels. One fundamental issue influencing the economic viability of the ethanol industry is consumers’ demand-responsiveness to both gasoline and ethanol price changes. In this paper we present an alternative approach to this problem by estimating the geographic variation of price-elasticity of demand for ethanol across the study area, a departure from previous studies of ethanol demand, in which the price-elasticity of demand is identical across the space. Considering the spatial heterogeneity in household composition and demand preferences, using global estimates to explain the price-demand relationships over a large geographic area may lead to biased results. We demonstrate that the spatially weighted regression technique provides superior estimates over a global regression model. Resulting price-elasticities of demand for ethanol reveal significant geographic variation, suggesting that the use of spatially disaggregated data provides more detailed empirical results and a more thorough understanding for policy determination related to the ethanol industry. In a subsequent paper, these results will be used to simulate the effects of state-level alternative fuel policies on reducing the environmental emissions.

Suggested Citation

  • Khachatryan, Hayk & Jessup, Eric & Casavant, Kenneth, 2010. "Spatial Patterns in Household Demand for Ethanol," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207248, Transportation Research Forum.
    • Handle: RePEc:ags:ndtr10:207248
    DOI: 10.22004/ag.econ.207248
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/207248/files/2010_32_Spatial_Patterns_Demand_Ethanol.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.207248?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Molly Espey, 1996. "Explaining the Variation in Elasticity Estimates of Gasoline Demand in the United States: A Meta-Analysis," The Energy Journal, , vol. 17(3), pages 49-60, July.
    2. 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.
    3. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-965, July.
    4. Adonis Yatchew & Joungyeo Angela No, 2001. "Household Gasoline Demand in Canada," Econometrica, Econometric Society, vol. 69(6), pages 1697-1709, November.
    5. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    6. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
    7. Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
    8. Richard Schmalensee & Thomas M. Stoker, 1999. "Household Gasoline Demand in the United States," Econometrica, Econometric Society, vol. 67(3), pages 645-662, May.
    Full references (including those not matched with items on IDEAS)

    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. Mohammad Vesal & Amir Hossein Tavakoli & Mohammad H. Rahmati, 2022. "What do one hundred million transactions tell us about demand elasticity of gasoline?," Empirical Economics, Springer, vol. 62(6), pages 2693-2711, June.
    2. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    3. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    4. Spiller, Elisheba & Stephens, Heather M. & Chen, Yong, 2017. "Understanding the heterogeneous effects of gasoline taxes across income and location," Resource and Energy Economics, Elsevier, vol. 50(C), pages 74-90.
    5. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
    6. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    7. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    8. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.
    9. Litman, Todd, 2013. "Changing North American vehicle-travel price sensitivities: Implications for transport and energy policy," Transport Policy, Elsevier, vol. 28(C), pages 2-10.
    10. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    11. Wadud, Zia & Noland, Robert B. & Graham, Daniel J., 2010. "A semiparametric model of household gasoline demand," Energy Economics, Elsevier, vol. 32(1), pages 93-101, January.
    12. Tscharaktschiew, Stefan, 2014. "Shedding light on the appropriateness of the (high) gasoline tax level in Germany," Economics of Transportation, Elsevier, vol. 3(3), pages 189-210.
    13. Ghoddusi, Hamed & Morovati, Mohammad & Rafizadeh, Nima, 2022. "Dynamics of fuel demand elasticity: Evidence from Iranian subsidy reforms," Energy Economics, Elsevier, vol. 110(C).
    14. Adom, Philip Kofi & Amakye, Kwaku & Barnor, Charles & Quartey, George & Bekoe, William, 2016. "Shift in demand elasticities, road energy forecast and the persistence profile of shocks," Economic Modelling, Elsevier, vol. 55(C), pages 189-206.
    15. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    16. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    17. 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.
    18. Burke, Paul J. & Nishitateno, Shuhei, 2013. "Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries," Energy Economics, Elsevier, vol. 36(C), pages 363-370.
    19. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    20. Shaw, Charles, 2020. "Econometric Analysis of Demand for Petrol in India, 1966-2019," MPRA Paper 104797, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;

    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:ags:ndtr10:207248. 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: AgEcon Search (email available below). General contact details of provider: http://www.trforum.org/journal/ .

    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.