Abstract
In this article, we have attempted to examine the relationships among the crude oil price, global activities index, and global temperature, as well as the exchange rate over the period from January 1982 to December 2009, using the empirical mode decomposition, autoregressive-distributed lag and threshold regression approach. The results indicate that the long-run elasticity of the oil price in relation to global activities is found to be 0.559, which is lower than the finding of He et al. (2010). These results are possibly due to recent improvements in technology that have led to a reduction in demand for crude oil as global activities increase. Furthermore, we have found that global warming will help to reduce the oil price as the global temperature remains below the threshold value. However, after it exceeds the threshold value, as the global temperature continues to rise, it will have no effect in terms of reducing the oil price.
Original language | English |
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Pages (from-to) | 274-281 |
Number of pages | 8 |
Journal | Energy Sources, Part B: Economics, Planning and Policy |
Volume | 11 |
Issue number | 3 |
DOIs | |
Publication status | Published - Mar 3 2016 |
Keywords
- Autorgressive distributed lag model
- crude oil price
- empirical mode decomposition
- global activities
- global temperature
- threshold regression
ASJC Scopus subject areas
- General Chemical Engineering
- Energy Engineering and Power Technology
- Fuel Technology