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Financial Implications of Car Ownership and Use: a distributional analysis based on observed spatial variance considering income and domestic energy costs

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  • Chatterton, T.
  • Anable, J.
  • Cairns, S.
  • Wilson, R.E.

Abstract

This paper presents a new perspective on assessing the financial impacts of private car usage in England and Wales using novel datasets to explore implications of motoring costs (principally Vehicle Excise Duty and road fuel costs) for households as part of the overall costs of their energy budget. Using data from an enhanced version of the Department for Transport ‘MOT’ vehicle test record database, combined with data on domestic gas and electricity consumption from the Department for Business, Energy and Industrial Strategy (formerly the Department of Energy and Climate Change), patterns of car usage and consequent energy consumption are investigated, and the costs of Vehicle Excise Duty and road fuel examined as a proportion of total expenditure on household direct energy consumption. Through the use of these new datasets it is possible to analyse how these vary spatially and in relation to levels of median income. The findings indicate that motoring costs are strongly regressive, with lower income areas, especially in rural locations, spending around twice as much of their income on motoring costs as the highest income areas.

Suggested Citation

  • Chatterton, T. & Anable, J. & Cairns, S. & Wilson, R.E., 2018. "Financial Implications of Car Ownership and Use: a distributional analysis based on observed spatial variance considering income and domestic energy costs," Transport Policy, Elsevier, vol. 65(C), pages 30-39.
  • Handle: RePEc:eee:trapol:v:65:y:2018:i:c:p:30-39
    DOI: 10.1016/j.tranpol.2016.12.007
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    References listed on IDEAS

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    1. Stephen Potter & Graham Parkhurst, 2005. "Transport Policy and Transport Tax Reform," Public Money & Management, Taylor & Francis Journals, vol. 25(3), pages 171-178, June.
    2. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    3. Wilson, R.E. & Anable, J. & Cairns, S. & Chatterton, T. & Notley, S. & Lees-Miller, J.D., 2013. "On the estimation of temporal mileage rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 126-139.
    4. M i Diao & Joseph Ferreira Jr, 2014. "Vehicle Miles Traveled and the Built Environment: Evidence from Vehicle Safety Inspection Data," Environment and Planning A, , vol. 46(12), pages 2991-3009, December.
    5. Dargay, Joyce, 2007. "The effect of prices and income on car travel in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 949-960, December.
    6. repec:cep:sticas:/152 is not listed on IDEAS
    7. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    8. Simon Dresner & Paul Ekins, 2006. "Economic instruments to improve UK home energy efficiency without negative social impacts," Fiscal Studies, Institute for Fiscal Studies, vol. 27(1), pages 47-74, March.
    9. Sterner, Thomas, 2012. "Distributional effects of taxing transport fuel," Energy Policy, Elsevier, vol. 41(C), pages 75-83.
    10. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    11. Dresner, Simon & Jackson, Tim & Gilbert, Nigel, 2006. "History and social responses to environmental tax reform in the United Kingdom," Energy Policy, Elsevier, vol. 34(8), pages 930-939, May.
    12. Saamah Abdallah & Ian Gough & Victoria Johnson & Josh Ryan-Collins & Cindy Smith, 2011. "The distribution of total greenhouse gas emissions by households in the UK, and some implications for social policy," CASE Papers case152, Centre for Analysis of Social Exclusion, LSE.
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    2. Sovacool, Benjamin K. & Lipson, Matthew M. & Chard, Rose, 2019. "Temporality, vulnerability, and energy justice in household low carbon innovations," Energy Policy, Elsevier, vol. 128(C), pages 495-504.
    3. Lowans, Christopher & Furszyfer Del Rio, Dylan & Sovacool, Benjamin K. & Rooney, David & Foley, Aoife M., 2021. "What is the state of the art in energy and transport poverty metrics? A critical and comprehensive review," Energy Economics, Elsevier, vol. 101(C).
    4. Roşca Vlad I., 2019. "Costs a pretty penny: how household income impacts upon motorization in Europe and raises manufacturer branding challenges," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 759-771, May.
    5. Pyddoke, Roger & Swärdh, Jan-Erik & Algers, Staffan & Habibi, Shiva & Sedehi Zadeh, Noor, 2019. "Long-term responses to car-tax policies: distributional effects and reduced carbon emissions," Papers 2019:4, Research Programme in Transport Economics.

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