Quantifying the impact of exogenous non-economic factors on UK transport oil demand
This paper attempts to quantify the impact of exogenous non-economic factors on UK transport oil demand (in addition to income, price, and fuel efficiency) by estimating the demand relationship for oil transport for 1960-2007 using the structural time series model. From this, the relative impact on UK transport oil demand from income, price, and efficiency are quantified. Moreover, the relative impact of the non-economic factors is also quantified, based on the premise that the estimated stochastic trend represents behavioural responses to changes in socio-economic factors and changes in lifestyles and attitudes. The estimated elasticities for income, price and efficiency are 0.6, -0.1, and -0.3, respectively, and it is shown that for efficiency and price the overall contribution is relatively small, whereas the contribution from income and non-economic factors is relatively large. This has important implications for policy makers keen to reduce transport oil consumption and associated emissions, but not willing to reduce the trend rate of economic growth. Taxes and improved efficiency only have a limited impact; hence, a major thrust of policy should perhaps be on educating and informing consumers to persuade them to change their lifestyle and attitudes and thus reduce their consumption through the non-economic instruments route.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lester C. Hunt & Yasushi Ninomiya, 2003. "Unravelling Trends and Seasonality: A Structural Time Series Analysis of Transport Oil Demand in the UK and Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 63-96.
- John Dimitropoulos & Lester Hunt & Guy Judge, 2005.
"Estimating underlying energy demand trends using UK annual data,"
Applied Economics Letters,
Taylor & Francis Journals, vol. 12(4), pages 239-244.
- John Dimitropoulos & Lester C Hunt & Guy Judge, 2004. "Estimating Underlying Energy Demand Trends using UK Annual Data," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 108, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 36(1), pages 1-25, January.
- Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-89, October.
- Pock, Markus, 2010. "Gasoline demand in Europe: New insights," Energy Economics, Elsevier, vol. 32(1), pages 54-62, January.
- Lester C Hunt & Guy Judge & Yasushi Ninomiya, 2003.
"Modelling Underlying Energy Demand Trends,"
Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS)
105, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
- Harvey, Andrew, 1997. "Trends, Cycles and Autoregressions," Economic Journal, Royal Economic Society, vol. 107(440), pages 192-201, January.
- Chitnis, Mona & Hunt, Lester C., 2012.
"What drives the change in UK household energy expenditure and associated CO2 emissions? Implication and forecast to 2020,"
Elsevier, vol. 94(C), pages 202-214.
- Mona Chitnis & Lester C Hunt, 2011. "What drives the change in UK household energy expenditure and associated CO2 emissions? Implication and forecast to 2020," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 134, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- David Bonilla & Timothy Foxon, 2009. "Demand for New Car Fuel Economy in the UK, 1970-2005," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 43(1), pages 55-83, January.
- Hunt, L.C. & Judge, G. & Ninomiya, Y., 2000.
"Underlying Trends and Seasonality in UK Energy Demands: A Sectorial Analysis,"
134, Portsmouth University - Department of Economics.
- Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003. "Underlying trends and seasonality in UK energy demand: a sectoral analysis," Energy Economics, Elsevier, vol. 25(1), pages 93-118, January.
When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:38:y:2010:i:3:p:1559-1565. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.