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Technology-behavioural modelling of energy innovation diffusion in the UK

  • Tran, Martino
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    The diffusion of energy saving technologies is an important part of UK energy and climate policy. Innovation diffusion can be influenced by both technological and behavioural factors. A computational model is presented to capture how changing technology attributes can influence consumer adoption. The UK vehicle market is case analyzed showing how efficiency improvements in advanced internal combustion engine (ICE) vehicles might affect future diffusion of alternative fuelled vehicles (AFVs) which is not often considered in the debate on AFV competitiveness. Scenarios are developed for mass and early market adopters to account for consumer heterogeneity. Simulation results indicate that if AFV performance can keep pace or exceed ICEs this will positively affect AFV diffusion despite increasing competition from ICEs on attributes that currently favour AFVs, such as fuel economy and carbon emissions. However, much of the gains are made at the expense of diesels rather than petrols that also benefit from improved performance. Additional policy measures will likely be necessary to induce rapid AFV diffusion.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912000244
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    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 95 (2012)
    Issue (Month): C ()
    Pages: 1-11

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    Handle: RePEc:eee:appene:v:95:y:2012:i:c:p:1-11
    DOI: 10.1016/j.apenergy.2012.01.018
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    1. Carole Nakhle, 2007. "Do High Oil Prices Justify an Increase in Taxation in a Mature Oil Province? The Case of the UK Continental Shelf," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 116, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    2. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    3. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt3tb6j874, University of California Transportation Center.
    4. Mahapatra, Krushna & Gustavsson, Leif, 2009. "Influencing Swedish homeowners to adopt district heating system," Applied Energy, Elsevier, vol. 86(2), pages 144-154, February.
    5. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    6. Kenneth E. Train & Clifford Winston, 2007. "Vehicle Choice Behavior And The Declining Market Share Of U.S. Automakers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1469-1496, November.
    7. Kannan, R., 2009. "Uncertainties in key low carbon power generation technologies - Implication for UK decarbonisation targets," Applied Energy, Elsevier, vol. 86(10), pages 1873-1886, October.
    8. Nakhle, Carole, 2007. "Do high oil prices justify an increase in taxation in a mature oil province? The case of the UK continental shelf," Energy Policy, Elsevier, vol. 35(8), pages 4305-4318, August.
    9. Jeroen Struben & John D Sterman, 2008. "Transition challenges for alternative fuel vehicle and transportation systems," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1070-1097, November.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Junio.
    11. Fontaras, Georgios & Samaras, Zissis, 2010. "On the way to 130 g CO2/km--Estimating the future characteristics of the average European passenger car," Energy Policy, Elsevier, vol. 38(4), pages 1826-1833, April.
    12. Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    13. Nair, Gireesh & Gustavsson, Leif & Mahapatra, Krushna, 2010. "Owners perception on the adoption of building envelope energy efficiency measures in Swedish detached houses," Applied Energy, Elsevier, vol. 87(7), pages 2411-2419, July.
    14. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    15. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    16. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    17. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    18. Jeroen Struben & John D Sterman, 2008. "Transition Challenges for Alternative Fuel Vehicle and Transportation Systems," Environment and Planning B, SAGE Publishing, vol. 35(6), pages 1070-1097, December.
    19. McFadden, Daniel L., 2000. "Economic Choices," Nobel Prize in Economics documents 2000-6, Nobel Prize Committee.
    20. Ogden, Joan M. & Williams, Robert H. & Larson, Eric D., 2004. "Societal lifecycle costs of cars with alternative fuels/engines," Energy Policy, Elsevier, vol. 32(1), pages 7-27, January.
    21. Collantes, Gustavo O, 2007. "Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles," Institute of Transportation Studies, Working Paper Series qt9bm1w968, Institute of Transportation Studies, UC Davis.
    22. Jarach, M., 1989. "An overview of the literature on barriers to the diffusion of renewable energy sources in agriculture," Applied Energy, Elsevier, vol. 32(2), pages 117-131.
    23. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    24. Offer, G.J. & Howey, D. & Contestabile, M. & Clague, R. & Brandon, N.P., 2010. "Comparative analysis of battery electric, hydrogen fuel cell and hybrid vehicles in a future sustainable road transport system," Energy Policy, Elsevier, vol. 38(1), pages 24-29, January.
    25. Ros, Jan & Nagelhout, Dick & Montfoort, Johanna, 2009. "New environmental policy for system innovation: Casus alternatives for fossil motor fuels," Applied Energy, Elsevier, vol. 86(2), pages 243-250, February.
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