The power of social norms for reducing and shifting electricity use
Christine Horne and
Emily Huddart Kennedy
Energy Policy, 2017, vol. 107, issue C, 43-52
Abstract:
New technologies are creating possibilities for making household energy consumption visible. With these technologies come opportunities for harnessing the power of social norms (viewed here as rules that are socially enforced) to affect energy consumption. But will those norms favor reductions in energy use? To answer this question, we conduct three online experiments with U.S. participants to assess individual values and normative expectations regarding household carbon emissions. We find that participants both value reducing carbon emissions and expect that others support reductions. The results have implications for non-monetary strategies for affecting household energy consumption. In particular, they suggest that it may be possible to harness the power of social norms not only to directly affect household electricity consumption, but also to shift time of use in ways that facilitate increased incorporation of renewable sources of electricity generation, and therefore a reduced carbon footprint for the grid.
Keywords: Social norm; Injunctive norm; Normative expectation; Household carbon emissions; Household energy consumption (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421517302549
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:107:y:2017:i:c:p:43-52
DOI: 10.1016/j.enpol.2017.04.029
Access Statistics for this article
Energy Policy is currently edited by N. France
More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().