IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v20y1999i2p89-120.html
   My bibliography  Save this article

Some New Ethanol Technology: Cost Competition and Adoption Effects in the Petroleum Market

Author

Listed:
  • Paul Gallagher
  • Donald Johnson

Abstract

This study examines the adoption prospects and market effects for fuels made from agricultural materials. New ethanol processing methods may eventually enable ethanol production from cellulose materials. A cost analysis suggests that corn residue-based production could be competitive with petroleum based gasoline because land-cost recovery is unnecessary. A supply analysis for U.S. corn residue accounts for potential livestock use and environmental factors. Some simulations are based on a petroleum market model, the residue supply estimate, and adoption of the new ethanol processing technology; results suggest a petroleum price reduction. The benefit-cost analysis for this technology accounts for the oligopoly-offsetting effect of additional supplies and the option valuef or loss reductions in the event of an embargo. Substantial underestimates of the technology benefit will occur unless the chance of embargo and oligopoly pricing are taken into account.

Suggested Citation

  • Paul Gallagher & Donald Johnson, 1999. "Some New Ethanol Technology: Cost Competition and Adoption Effects in the Petroleum Market," The Energy Journal, , vol. 20(2), pages 89-120, April.
    • Handle: RePEc:sae:enejou:v:20:y:1999:i:2:p:89-120
    DOI: 10.5547/ISSN0195-6574-EJ-Vol20-No2-4
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol20-No2-4
    Download Restriction: no
    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol20-No2-4?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. Weiner, R.J., 1991. "Is the World Oil Market "One Great Pool?"," Papers 9120, Laval - Recherche en Energie.
    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. Kuck, Konstantin & Schweikert, Karsten, 2017. "A Markov regime-switching model of crude oil market integration," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 16-31.
    2. Niyati Bhanja & Arif Billah Dar & Aviral Kumar Tiwari, 2018. "Do Global Crude Oil Markets Behave as One Great Pool? A Cyclical Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 219-241, November.
    3. Duan, Kun & Ren, Xiaohang & Wen, Fenghua & Chen, Jinyu, 2023. "Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework," Journal of Commodity Markets, Elsevier, vol. 29(C).
    4. Bertrand Candelon & Marc Joëts & Sessi Tokpavi, 2012. "Testing for crude oil markets globalization during extreme price movements," EconomiX Working Papers 2012-28, University of Paris Nanterre, EconomiX.
    5. Leiby, Paul N. & Rubin, Jonathan, 2013. "Energy security implications of a national low carbon fuel standard," Energy Policy, Elsevier, vol. 56(C), pages 29-40.
    6. Kaufmann, Robert K. & Dees, Stephane & Mann, Micheal, 2009. "Horizontal and vertical transmissions in the US oil supply chain," Energy Policy, Elsevier, vol. 37(2), pages 644-650, February.
    7. Caporin, Massimiliano & Fontini, Fulvio & Talebbeydokhti, Elham, 2019. "Testing persistence of WTI and Brent long-run relationship after the shale oil supply shock," Energy Economics, Elsevier, vol. 79(C), pages 21-31.
    8. Ayman Omar, 2015. "West Texas Intermediate and Brent Spread during Organization of the Petroleum Exporting Countries Supply Disruptions," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 693-703.
    9. Reboredo, Juan C., 2011. "How do crude oil prices co-move?: A copula approach," Energy Economics, Elsevier, vol. 33(5), pages 948-955, September.
    10. Klein, Tony, 2018. "Trends and contagion in WTI and Brent crude oil spot and futures markets - The role of OPEC in the last decade," Energy Economics, Elsevier, vol. 75(C), pages 636-646.
    11. Li, Raymond & Leung, Guy C.K., 2011. "The integration of China into the world crude oil market since 1998," Energy Policy, Elsevier, vol. 39(9), pages 5159-5166, September.
    12. Subhani, Muhammad Imtiaz & Hasan, Syed Akif & Osman, Ms. Amber, 2012. "Are the Prices of Light Diesel Oil, Gasoline, CNG and Kerosene Oil Co-Integrated?," MPRA Paper 45142, University Library of Munich, Germany.
    13. Liu, Li & Chen, Ching-Cheng & Wan, Jieqiu, 2013. "Is world oil market “one great pool”?: An example from China's and international oil markets," Economic Modelling, Elsevier, vol. 35(C), pages 364-373.
    14. Sergey Mityakov & Heiwai Tang & Kevin K. Tsui, 2011. "Geopolitics, Global Patterns of Oil Trade, and China¡¦s Oil Security Quest," Working Papers 322011, Hong Kong Institute for Monetary Research.
    15. Douglas G. Sauer, 1994. "Measuring Economic Markets for Imported Crude Oil," The Energy Journal, , vol. 15(2), pages 107-123, April.
    16. Volkan Kahraman & Nukhet Dogan & Hakan Berument, 2024. "Benchmark Prices and Iraqi Oil Prices: The Asymmetric Effects of Benchmark Prices on Three Iraqi Oil Blends," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 77-88, March.
    17. Ioannis Chatziantoniou & David Gabauer & Rangan Gupta, 2021. "Integration and Risk Transmission in the Market for Crude Oil: A Time-Varying Parameter Frequency Connectedness Approach," Working Papers 202147, University of Pretoria, Department of Economics.
    18. Kaufmann, Robert K. & Banerjee, Shayan, 2014. "A unified world oil market: Regions in physical, economic, geographic, and political space," Energy Policy, Elsevier, vol. 74(C), pages 235-242.
    19. Jia, Xiaoliang & An, Haizhong & Fang, Wei & Sun, Xiaoqi & Huang, Xuan, 2015. "How do correlations of crude oil prices co-move? A grey correlation-based wavelet perspective," Energy Economics, Elsevier, vol. 49(C), pages 588-598.
    20. Didenko Alexander & Demicheva Svetlana, 2013. "Application of Ensemble Learning for views generation in Meucci portfolio optimization framework," Review of Business and Economics Studies, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 1, pages 100-110.

    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:sae:enejou:v:20:y:1999:i:2:p:89-120. 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: SAGE Publications (email available below). General contact details of provider: .

    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.