K.H. Tiedemann (Canada)
Behavioural energy savings, effect size, information, goal setting, feedback, rewards.
As developed countries attempt to reduce energy use and greenhouse gas emissions, increasing attention is being paid to the potential for residential behavioural savings. A number of utilities have undertaken pilot programs aimed at understanding which interventions are most effective in reducing residential energy consumption through behavioural change. This study provides the first meta regression analysis of residential energy behavioural savings. A basic concept in meta-regression analysis is the effects size which is defined as the program effect divided by the standard error of the program effect. An extensive review of the literature found twenty-eight treatments from ten experiments for which an effect size could be calculated. Experimental treatments were classified according to whether the interventions were information, goal setting, feedback, rewards or combinations of these interventions. White’s robust regression was then used to model the impact of these alternative interventions on the effect size.
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