The Causality of Crude Oil Price and Alternative Energy Supply (Toda and Yamamoto Test)

Document Type : Research Paper

Author

Assistant Professor, Energy Economics Researcher and Direct General of Economics Survey Bureau,

Abstract

As a result of higher crude oil prices, in one hand, it is expected that alternative energy resources consumption is increased and consumers change their behavior to decline energy intensity too. On the other hand, more alternative energy consumption can leads to a decline of crude oil aggregate demand. Therefore, existence of mutual causality between crude oil price and alternative energy consumption is the main question of this research. To answer this question, an auto regressive model by Toda & Yamamoto test, has been used. Research data have been selected from world economics during 1969-2011. The results indicate bidirectional causality between crude oil price and alternative energy supply and no causality between energy intensity and alternative energy. Finally, the results reveal that there is a unidirectional causality from crude oil price to energy intensity.
JEL Classification: Q31,Q41,Q42

Keywords


منابع

آرمن، سیدعزیز و زارع، روح‌الله (1384). «بررسی رابطة علیت گرنجری بین مصرف انرژی و رشد اقتصادی در ایران طی سال‎های 1346 ـ 1391»، پژوهشهای اقتصادی ایران، 24، 117 ـ 143.
ابریشمی، حمید و مصطفایی، آذر (1380). «بررسی رابطه بین رشد اقتصادی و مصرف فرآورده‌های عمدة نفتی در ایران»، دانش و توسعه، 14، 11 ـ 45.
فطرس، محمدحسن و همکاران (1387). «بررسی رابطة علّی بین تولید داخلی و مصرف الکتریسیته با استفاده از روش تودا و یاماموتو در ایران (1967 ـ 2006)»، دانش و توسعه، 25، 169 ـ 189.
محمدی، تیمور، بردبار، آزاده و دقیقی اصل، علیرضا (1391). «بررسی علیت متقابل رشد اقتصادی و مصرف گاز طبیعی در ایران»، اقتصاد محیط زیست و انرژی، 1(3)، 89 ـ 106.
ملکی، رضا (1378). «بررسی رابطه بین مصرف انرژی و رشد اقتصادی در ایران»، پایان‌نامة کارشناسی ارشد، دانشگاه شهید بهشتی تهران.
Bentley, R.W. (2002). Global Oil & Gas Depletion: An Overview, Energy Policy, 30,189‐205
Engle, R.F. & Granger, C.W.J. (1987). Co integrated and Error Correction, Representation Estimation and Testing, Econometrica, 55, 251-276.
Geweke, J. (1984). Inference and Causality in Economic Time Series Models, Handbook of Econometrics, 2.
Granger, C.W.J. (1986). Development in the Study of Co integrated Economic Variables, Oxford Bulletin of Economics and Statistics, 48, 213-228.
Granger, C.W.J. (1988). Some Recent Development in a Concept of Causality, Journal of Econometrics, 39, 199-211.
Prabhas, C. Sinha (2009). Handbook of Alternative Energy, SBS Publishers & Distributors Pvt, Ltd, New Delhi.
Toda, H.Y. & Yamamoto, T. (1995). Statistical Inference in Vector Auto regressions with possibly Integrated Processes, Journal of Econometrics, 66, 225-250.
Wolde Rufael, Y. (2005). Energy Demand and Economic Growth: The African Experience, Journal of Policy Modeling, 27, 891-903.
Yoo, S.H. (2005). Electricity Consumption and Economic Growth: Evidence from Korea,Energy Policy, 33, 1627-1632.
Zapata, H.O. & Rambaldi, A.N. (1997). Monte-Carlo Evidence on Co integration and Causation, Oxford Bulletin of Economics and Statistics, 59, 285-298.
US energy information administration (http://eia.doe.gov)
International Energy Agency (www.iea.org)