2009
DOI: 10.1016/j.apenergy.2009.04.035
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A panel data analysis of the determinants of oil consumption: The case of Australia

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Cited by 36 publications
(24 citation statements)
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“…As such, a 1% percent increase in GDP per capita level leads to about a 0.72% increase in oil consumption per capita level for the whole EJBE 2015, 8 (15) panel set, while a 1% increase in oil price decreases the demand for oil by 0.16% in the long-run. In the long-run, oil demand is both income and price-inelastic as obtained by many studies in the literature; however, income elasticity is higher than price elasticity (see, among others, Altinay 2007;Narayan and Wong, 2009;Behmiri and Manso, 2012). Based on the panel results, it could be asserted that crude oil demand is highly price-inelastic, indicating that consumers are insensitive to price changes.…”
Section: Estimation Of Long-run Parametersmentioning
confidence: 87%
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“…As such, a 1% percent increase in GDP per capita level leads to about a 0.72% increase in oil consumption per capita level for the whole EJBE 2015, 8 (15) panel set, while a 1% increase in oil price decreases the demand for oil by 0.16% in the long-run. In the long-run, oil demand is both income and price-inelastic as obtained by many studies in the literature; however, income elasticity is higher than price elasticity (see, among others, Altinay 2007;Narayan and Wong, 2009;Behmiri and Manso, 2012). Based on the panel results, it could be asserted that crude oil demand is highly price-inelastic, indicating that consumers are insensitive to price changes.…”
Section: Estimation Of Long-run Parametersmentioning
confidence: 87%
“…In addition, based on the other studies in the literature (see, among others, (Altinay, 2007;Narayan & Wong 2009;Lee & Lee, 2010) and on the Marshallian theory of demand for goods and services, we use a simple energy demand model consisting of the oil's own price and per capita income level. Though there are many other effective factors on consumer demand, such as taste and consumer preferences, lifestyle, the prices of substitutes and EJBE 2015, 8 (15) complements, and technological innovation, it is difficult to quantify and measure them (Mitchell, 2006).…”
Section: Model and Datamentioning
confidence: 99%
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“…Among all the factors, price and income have been found to be the two primary ones. Narayan et al [14] studied oil consumption in Australia using panel data covering from 1985 to 2006 with their conclusions revealed that in the long run the effect of oil price on oil products is not statistically significant, whereas income has an influence on oil production in the opposite direction on oil production. Local oil consumption is not determined by the rising price of oil which indicates the major position oil product consumption has in the production and consumption processes.…”
Section: Literature Reviewmentioning
confidence: 99%