非遺伝子組換え大豆とエネルギーの価格関係について

Aruga, Kentaka (2011): 非遺伝子組換え大豆とエネルギーの価格関係について. Published in: Papers on Environmental Information Science No. 25 (21 November 2011): pp. 85-88.

Abstract

In the United States, recently the use of soybeans as an energy source has drawn attention. It is concerned in Japan that if the use of soybeans for energy keeps increasing, not only the price of conventional soybeans, which is used for soybean oil, but also the price of non-genetically modified organism (Non-GMO) soybeans, which is consumed for food, will increase. This paper examines the price relationships between the non-GMO and conventional soybean prices, and energy prices such as those of crude oil and ethanol using the cointegration methods. The results suggest that the prices of the non-GMO and conventional soybeans do not have price relationships with those of the energy prices. This implies that the non-GMO and conventional soybean markets are not affected by the energy markets.

• Item Type: MPRA Paper
• English Title: Relationships among the Non-Genetically Modified Soybean and Energy Prices
• Language: Japanese
• Keywords: non-GMO soybeans; conventional soybeans; crude oil; ethanol; cointegration
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q13 - Agricultural Markets and Marketing ; Cooperatives ; Agribusiness; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q40 - General

References

Aruga, K. (2011) Are the Tokyo Grain Exchange non-genetically modified organism (non-GMO) and conventional soybean futures markets integrated? Agricultural Finance Review 71(1): 84-97.

Detre, J. D., H. Uematsu and A. Mishra (2011) The influence of GM crop adaption on the profitability of farms operated by young and beginning farmers. Agricultural Finance Review 71(1): 41-61.

Dickey, D., and W. Fuller (1981) Likelihood ratio tests for autoregressive time series with a unit root. Econometrica 49: 1057-1072.

Economist (2011) A special report on feeding the world: Biofuels are an example of what not to do, February 26, 6-6.

Engle, R.F., and C. W. J. Granger (1987) Co-integration and error correction, representation, estimation, and testing. Econometrica 55: 251-276.

Gohin, A., and F. Chantret (2010) The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages. Energy Policy 38(1): 333-339.

Harri, A., L. Nalley, and D. Hudson (2009) The relationship between oil, exchange rates, and commodity prices. Journal of Agricultural and Applied Economics 41(2): 501-510.

Hertel, T., and J. Beckman (2011) Commodity price volatility in the biofuel era: An examination of the linkage between energy and agricultural markets. National Bureau of Economic Research Working Paper 16824.

Phillips, P. C. B., and S. Ouliaris (1990) Asymptotic properties of residual based tests for cointegration. Econometrica 58(1): 165-193.

Phillips, P.C.B. and P. Perron (1988) Testing for a unit root in time series analysis. Biometrica 75: 335-346.

Searchinger, T., R. Heimlich, R. A. Houghton, F. Dong, A. Elobeid, J. Fabiosa, S. Tokgoz, D. Hayes, and T-H. Yu (2008) Use of U.S. croplands for biofuels increases greenhouse gases through emissions from land-use change. Science 319: 1238-1240.

Tyner, W. E. (2008) The US ethanol and biofuels boom: Its origins, current status, and future prospects. Bioscience, 58(7): 646-653.