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Harnessing social networks for promoting adoption of energy technologies in the domestic sector

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  • Bale, Catherine S.E.
  • McCullen, Nicholas J.
  • Foxon, Timothy J.
  • Rucklidge, Alastair M.
  • Gale, William F.

Abstract

This paper presents results from modelling work investigating the effects of social networks on the adoption of energy technologies in the domestic sector. This work concerns ideas on social network interventions which have been successfully applied in other domains but which have seldom been applied to energy policy questions. We employ a dynamical multi-parameter network model where households are represented as nodes on a network for which the uptake of technologies is influenced by both personal benefit and social influences. This is applied to demonstrate the usefulness of this type of model in assessing the likely success of different roll-out strategies that a local authority could pursue in promoting the uptake of domestic energy technologies. Local authorities can play a key role in the retrofit of energy-efficiency and low-carbon energy-generation technologies in order to realise carbon reductions and alleviate fuel poverty. Scenarios are modelled for different local authority interventions that target network interactions and uptake threshold effects, and the results provide insights for policy. The potential for the use of this type of modelling in understanding the adoption of energy innovations in the domestic sector and designing local-level interventions is demonstrated.

Suggested Citation

  • Bale, Catherine S.E. & McCullen, Nicholas J. & Foxon, Timothy J. & Rucklidge, Alastair M. & Gale, William F., 2013. "Harnessing social networks for promoting adoption of energy technologies in the domestic sector," Energy Policy, Elsevier, vol. 63(C), pages 833-844.
  • Handle: RePEc:eee:enepol:v:63:y:2013:i:c:p:833-844
    DOI: 10.1016/j.enpol.2013.09.033
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    1. Andreas Grönlund & Petter Holme, 2005. "A Network-Based Threshold Model For The Spreading Of Fads In Society And Markets," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 8(02n03), pages 261-273.
    2. Lynne Hamill & Nigel Gilbert, 2009. "Social Circles: A Simple Structure for Agent-Based Social Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-3.
    3. McMichael, Megan & Shipworth, David, 2013. "The value of social networks in the diffusion of energy-efficiency innovations in UK households," Energy Policy, Elsevier, vol. 53(C), pages 159-168.
    4. Bale, Catherine S.E. & Foxon, Timothy J. & Hannon, Matthew J. & Gale, William F., 2012. "Strategic energy planning within local authorities in the UK: A study of the city of Leeds," Energy Policy, Elsevier, vol. 48(C), pages 242-251.
    5. Hoppe, T. & Bressers, J.Th.A. & Lulofs, K.R.D., 2011. "Local government influence on energy conservation ambitions in existing housing sites--Plucking the low-hanging fruit?," Energy Policy, Elsevier, vol. 39(2), pages 916-925, February.
    6. Sheldrick, Bill, 1985. "Local authority involvement with energy conservation," Applied Energy, Elsevier, vol. 19(2), pages 129-158.
    7. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    8. Clinch, J. Peter & Healy, John D., 2001. "Cost-benefit analysis of domestic energy efficiency," Energy Policy, Elsevier, vol. 29(2), pages 113-124, January.
    9. Michelsen, Carl Christian & Madlener, Reinhard, 2013. "Motivational factors influencing the homeowners’ decisions between residential heating systems: An empirical analysis for Germany," Energy Policy, Elsevier, vol. 57(C), pages 221-233.
    10. Michael Nye & Lorraine Whitmarsh & Timothy Foxon, 2010. "Sociopsychological Perspectives on the Active Roles of Domestic Actors in Transition to a Lower Carbon Electricity Economy," Environment and Planning A, , vol. 42(3), pages 697-714, March.
    11. Shove, Elizabeth, 1998. "Gaps, barriers and conceptual chasms: theories of technology transfer and energy in buildings," Energy Policy, Elsevier, vol. 26(15), pages 1105-1112, December.
    12. Coltrane, Scott & Archer, Dane & Aronson, Elliot, 1986. "The social-psychological foundations of successful energy conservation programmes," Energy Policy, Elsevier, vol. 14(2), pages 133-148, April.
    13. Graham Room, 2011. "Complexity, Institutions and Public Policy," Books, Edward Elgar Publishing, number 14394.
    14. Comodi, Gabriele & Cioccolanti, Luca & Polonara, Fabio & Brandoni, Caterina, 2012. "Local authorities in the context of energy and climate policy," Energy Policy, Elsevier, vol. 51(C), pages 737-748.
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