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Non-linear price transmission between biofuels, fuels and food commodities

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Abstract
For the biofuel markets and related commodities, we study their price transmission, which is in fact equivalent to studying price cross-elasticities. Importantly, we focus on the price dependence of the price transmission mechanism. Several methodological caveats are discussed. Specifically, we combine the memory robust feasible generalized least squares estimation with two-stage least squares to control for endogeneity bias and inconsistency. We find that both ethanol and biodiesel prices are responsive to their production factors (ethanol to corn, and biodiesel to German diesel). The strength of transmission between both significant pairs increased remarkably during the food crisis of 2007/2008.

Suggested Citation

  • 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.
    • Handle: RePEc:fau:wpaper:wp2013_16
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    1. David Zilberman & Gal Hochman & Deepak Rajagopal & Steve Sexton & Govinda Timilsina, 2013. "The Impact of Biofuels on Commodity Food Prices: Assessment of Findings," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 275-281.
    2. Timilsina, Govinda R. & Mevel, Simon & Shrestha, Ashish, 2011. "Oil price, biofuels and food supply," Energy Policy, Elsevier, vol. 39(12), pages 8098-8105.
    3. Xiaoguang Chen & Madhu Khanna, 2017. "Land Use and Greenhouse Gas Implications of Biofuels: Role of Technology and Policy," Natural Resource Management and Policy, in: Madhu Khanna & David Zilberman (ed.), Handbook of Bioenergy Economics and Policy: Volume II, pages 213-237, Springer.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Xiaoguang Chen & Haixiao Huang & Madhu Khanna & Hayri Önal, 2011. "Meeting the Mandate for Biofuels: Implications for Land Use, Food, and Fuel Prices," NBER Chapters, in: The Intended and Unintended Effects of US Agricultural and Biotechnology Policies, pages 223-267, National Bureau of Economic Research, Inc.
    6. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    7. Ciaian, Pavel & Kancs, d'Artis, 2011. "Food, energy and environment: Is bioenergy the missing link?," Food Policy, Elsevier, vol. 36(5), pages 571-580, October.
    8. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    9. 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.
    10. Luchansky, Matthew S. & Monks, James, 2009. "Supply and demand elasticities in the U.S. ethanol fuel market," Energy Economics, Elsevier, vol. 31(3), pages 403-410, May.
    11. 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.
    12. 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.
    13. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    14. repec:lic:licosd:29211 is not listed on IDEAS
    15. Thompson, Wyatt & Meyer, Seth & Westhoff, Pat, 2009. "How does petroleum price and corn yield volatility affect ethanol markets with and without an ethanol use mandate?," Energy Policy, Elsevier, vol. 37(2), pages 745-749, February.
    16. Teresa Serra & David Zilberman & José M. Gil & Barry K. Goodwin, 2011. "Nonlinearities in the U.S. corn‐ethanol‐oil‐gasoline price system," Agricultural Economics, International Association of Agricultural Economists, vol. 42(1), pages 35-45, January.
    17. Rajagopal, Deepak & Zilberman, David, 2007. "Review of environmental, economic and policy aspects of biofuels," Policy Research Working Paper Series 4341, The World Bank.
    18. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Correlations between biofuels and related commodities before and during the food crisis: A taxonomy perspective," Energy Economics, Elsevier, vol. 34(5), pages 1380-1391.
    19. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    20. Zibin Zhang & Luanne Lohr & Cesar Escalante & Michael Wetzstein, 2009. "Ethanol, Corn, and Soybean Price Relations in a Volatile Vehicle-Fuels Market," Energies, MDPI, vol. 2(2), pages 1-20, June.
    21. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    22. Langholtz, Matthew & Graham, Robin & Eaton, Laurence & Perlack, Robert & Hellwinkel, Chad & De La Torre Ugarte, Daniel G., 2012. "Price projections of feedstocks for biofuels and biopower in the U.S," Energy Policy, Elsevier, vol. 41(C), pages 484-493.
    23. Madhu Khanna & Amy W. Ando & Farzad Taheripour, 2008. "Welfare Effects and Unintended Consequences of Ethanol Subsidies," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 411-421.
    24. McPhail, Lihong Lu, 2011. "Assessing the impact of US ethanol on fossil fuel markets: A structural VAR approach," Energy Economics, Elsevier, vol. 33(6), pages 1177-1185.
    25. 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.
    26. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    27. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    28. Madhu Khanna & Jürgen Scheffran & David Zilberman (ed.), 2010. "Handbook of Bioenergy Economics and Policy," Natural Resource Management and Policy, Springer, number 978-1-4419-0369-3, March.
    29. Nazlioglu, Saban & Soytas, Ugur, 2012. "Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 1098-1104.
    30. Teresa Serra & David Zilberman & José M. Gil & Barry K. Goodwin, 2010. "Price Transmission in the US Ethanol Market," Natural Resource Management and Policy, in: Madhu Khanna & Jürgen Scheffran & David Zilberman (ed.), Handbook of Bioenergy Economics and Policy, chapter 0, pages 55-72, Springer.
    31. Cha, Kyung Soo & Bae, Jeong Hwan, 2011. "Dynamic impacts of high oil prices on the bioethanol and feedstock markets," Energy Policy, Elsevier, vol. 39(2), pages 753-760, February.
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    Cited by:

    1. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, vol. 9(6), pages 1-16, June.
    2. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Causality and predictability in distribution: The ethanol–food price relation revisited," Energy Economics, Elsevier, vol. 42(C), pages 152-160.
    3. Ondřej Filip & Karel Janda & Ladislav Krištoufek, 2018. "Ceny biopaliv a souvisejících komodit: analýza s použitím metod minimální kostry grafu a hierarchických stromů [Prices of Biofuels and Related Commodities: an Analysis Using Methods of Minimum Span," Politická ekonomie, Prague University of Economics and Business, vol. 2018(2), pages 218-239.
    4. Ladislav Kristoufek & Karel Janda & David Zilberman, 2015. "Co-movements of Ethanol Related Prices: Evidence from Brazil and the USA," CAMA Working Papers 2015-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

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    More about this item

    Keywords

    biofuels; price transmission; non-linearity;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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