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The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems

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  • Noppers, Ernst H.
  • Keizer, Kees
  • Milovanovic, Marko
  • Steg, Linda

Abstract

The conceptual model on motivations to adopt sustainable innovations (Noppers et al., 2014) proved to be successful in explaining proxies of the adoption of sustainable innovations: positive evaluations of the utility (instrumental attributes), environmental impact (environmental attributes), and specifically the extent to which the innovation says something about a person (symbolic attributes) increased interest in and intention to adopt sustainable innovations. In this paper, we examined to what extent the evaluations of these three attributes can also explain the actual adoption of smart energy systems that facilitate sustainable energy use. Results showed that adopters of smart energy systems (who agreed to participate in a project in which these systems were tested) evaluated the symbolic attributes of these systems more positively than non-adopters (who did not participate in this project), while both groups did not differ in their evaluation of the instrumental and environmental attributes of smart energy systems. A logistic regression analysis indicated that only evaluations of the symbolic attributes explained actual adoption of smart energy systems. Policy could stress and enhance the symbolic attributes of sustainable innovations to encourage adoption.

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  • Noppers, Ernst H. & Keizer, Kees & Milovanovic, Marko & Steg, Linda, 2016. "The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems," Energy Policy, Elsevier, vol. 98(C), pages 12-18.
  • Handle: RePEc:eee:enepol:v:98:y:2016:i:c:p:12-18
    DOI: 10.1016/j.enpol.2016.08.007
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    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Paul C. Stern & Elliot Aronson & John M. Darley & Daniel H. Hill & Eric Hirst & Willett Kempton & Thomas J. Wilbanks, 1986. "The Effectiveness of Incentives for Residential Energy Conservation," Evaluation Review, , vol. 10(2), pages 147-176, April.
    3. Paul C. Stern, 1986. "Blind spots in policy analysis: What economics doesn't say about energy use," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 5(2), pages 200-227.
    4. Chen, Kee Kuo, 2014. "Assessing the effects of customer innovativeness, environmental value and ecological lifestyles on residential solar power systems install intention," Energy Policy, Elsevier, vol. 67(C), pages 951-961.
    5. J. W. Bolderdijk & L. Steg & E. S. Geller & P. K. Lehman & T. Postmes, 2013. "Comparing the effectiveness of monetary versus moral motives in environmental campaigning," Nature Climate Change, Nature, vol. 3(4), pages 413-416, April.
    6. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    7. Arts, Joep W.C. & Frambach, Ruud T. & Bijmolt, Tammo H.A., 2011. "Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 134-144.
    8. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    9. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    10. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    11. Korcaj, Liridon & Hahnel, Ulf J.J. & Spada, Hans, 2015. "Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers," Renewable Energy, Elsevier, vol. 75(C), pages 407-415.
    12. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.
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