Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets
AbstractAgricultural and energy commodity prices have traditionally exhibited relatively low – even negative correlation. However, the recent increases in biofuel production have altered the agriculture-energy relationship in a fundamental way. The amount of corn utilized for ethanol production in the US has increased from 5% in 2001 to over one-third by the end of the decade. This increase has drawn corn previously sold to other uses (exports, food, feed), as well as acreage devoted to other crops (e.g., oilseeds and other grains). In addition, there has been an increase in the demand for production inputs, especially fertilizers, which are heavily energy-intensive. In short, the previous “biofuel decade” has led to significant changes in the US, and indeed the global economy. In the next five years, the U.S. Renewable Fuels Standard (RFS) envisions a further boost of ethanol production to 15 billion gallons per year. This might be expected to further strengthen the linkage between energy prices and agricultural commodity markets. However, unless oil prices rise sharply, it is likely that the RFS will be binding in 2015 – that is, the amount of ethanol consumed will be determined by government mandates rather than by the relative price of oil vs. corn-based ethanol. Under such a scenario, with an even larger share of corn production going to ethanol, and with that source of demand potentially becoming unresponsive to price, there is potential for significant increases in commodity market volatility. Indeed, we estimate that, in the presence of a binding RFS, the inherent volatility in the US coarse grains market will rise by about one-quarter. And the volatility of the US coarse grains price to supply side shocks in that market will rise by nearly one-half. Under a high oil price scenario, we expect that, rather than the RFS binding, the binding constraint is likely to be the “blend wall”, i.e. the legal % content of ethanol in gasoline used by regular automobiles. (This is currently set at 10%.) With a binding blend wall, we see similar, although somewhat smaller, increases in market volatility. If both the RFS and the blend wall are simultaneously binding, then US coarse grains price volatility in response to corn supply shocks is 57% higher than in the non-binding case, and world price volatility is boosted by 25%. In short, we envision a future in which agricultural price volatility – particularly for biofuel feedstocks – will depend critically on renewable energy policies. Indeed, these may dominate the traditional importance of agricultural commodity policies in many markets.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado with number 60857.
Date of creation: Jul 2010
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Other versions of this item:
- Thomas W. Hertel & Jayson Beckman, 2011. "Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets," NBER Chapters, in: The Intended and Unintended Effects of U.S. Agricultural and Biotechnology Policies, pages 189-221 National Bureau of Economic Research, Inc.
- Thomas W. Hertel & Jayson Beckman, 2011. "Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage Between Energy and Agricultural Markets," NBER Working Papers 16824, National Bureau of Economic Research, Inc.
- Hertel, Thomas & Beckman, Jayson, 2010. "Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets," GTAP Working Papers 3214, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
- Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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