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International Interlinkages of Biofuel Prices: The Role of Biofuel Policies

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  • Rajcaniova, Miroslava
  • Drabik, Dusan
  • Ciaian, Pavel

Abstract

Kliauga, de Gorter, and Just (2008) and de Gorter, Drabik, and Just (2010) argue that the United States and the European Union establish the world ethanol and biodiesel prices, respectively. We test these theories using a cointegration analysis and the Vector Error Correction (VEC) model. Weekly price series are analyzed for the major global biofuel producers (European Union, United States, and Brazil) for the period 2002 – 2010. Biofuel policies in both the United States and Brazil appear to play a role in determining the ethanol prices in other countries, thus only partially confirming the previous findings for the U.S. price leadership in the literature. For biodiesel, our results demonstrate that the EU tax exemption and mandate impact the world biodiesel price, thus confirming the European Union’s price leadership.

Suggested Citation

  • Rajcaniova, Miroslava & Drabik, Dusan & Ciaian, Pavel, 2011. "International Interlinkages of Biofuel Prices: The Role of Biofuel Policies," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103222, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea11:103222
    DOI: 10.22004/ag.econ.103222
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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Du, Xiaodong & Hayes, Dermot J., 2009. "The impact of ethanol production on US and regional gasoline markets," Energy Policy, Elsevier, vol. 37(8), pages 3227-3234, August.
    3. Harry de Gorter & Dusan Drabik & David R. Just, 2011. "The Economics of a Blender's Tax Credit versus a Tax Exemption: The Case of U.S. 'Splash and Dash' Biodiesel Exports to the European Union," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(4), pages 510-527.
    4. Bruce A. Babcock, 2008. "Breaking the Link between Food and Biofuels," Center for Agricultural and Rural Development (CARD) Publications 08-bp53, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. Xiaodong Du & Dermot J. Hayes, 2008. "Impact of Ethanol Production on U.S. and Regional Gasoline Prices and on the Profitability of the U.S. Oil Refinery Industry, The," Center for Agricultural and Rural Development (CARD) Publications 08-wp467, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    6. Ciaian, Pavel & Kancs, d'Artis, 2011. "Interdependencies in the energy-bioenergy-food price systems: A cointegration analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 326-348, January.
    7. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
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    Cited by:

    1. Ladislav Kristoufek & Karel Janda & David Zilberman, 2013. "Non-linear price transmission between biofuels, fuels and food commodities," Working Papers IES 2013/16, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2013.
    2. Karel Janda & Ladislav Kristoufek & David Zilberman, 2011. "Modeling the Environmental and Socio-Economic Impacts of Biofuels," Working Papers IES 2011/33, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2011.
    3. Ladislav Kristoufek & Karel Janda & David Zilberman, 2012. "Mutual Responsiveness of Biofuels, Fuels and Food Prices," CAMA Working Papers 2012-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Ladislav Kristoufek & Karel Janda & David Zilberman, 2013. "Regime-dependent topological properties of biofuels networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(2), pages 1-12, February.
    5. Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. "Modelování provázanosti trhů potravin, biopaliv a fosilních paliv [Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 117-140.
    6. Janda, Karel & Kristoufek, Ladislav & Zilberman, David, "undated". "Biofuels: review of policies and impacts," CUDARE Working Papers 120415, University of California, Berkeley, Department of Agricultural and Resource Economics.
    7. Peri, Massimo & Baldi, Lucia, 2013. "The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU," Resource and Energy Economics, Elsevier, vol. 35(1), pages 18-37.
    8. Chrz, Stepan & Hruby, Zdenek & Janda, Karel & Kristoufek, Ladislav, 2013. "Provazanost trhu potravin, biopaliv a fosilnich paliv [Interconnections within food, biofuel, and fossil fuel markets]," MPRA Paper 43958, University Library of Munich, Germany.
    9. Rico, J.A.P. & Sauer, I.L., 2015. "A review of Brazilian biodiesel experiences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 513-529.

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    More about this item

    Keywords

    Agricultural and Food Policy; International Relations/Trade;

    JEL classification:

    • 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
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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