Levels of consumers’ agency and capacity as predictors for electricity demand reduction in the residential sector
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Abstract
A field study of 50 households in a collective community in Israel provides initial support for the hypotheses about the relations between actors’ agency, capacity and electricity demand reduction. ‘Agency’ refers to actors’ willingness and ability to make their own free choices and ‘capacity’ refers to actors’ ability to perform the choices they made. According to the hypotheses, change is more likely to happen when actors’ levels of agency and capacity are high; unlikely to happen when the levels are low and uncertain when there is a mismatch between levels of agency and capacity (one is high and the other low). In the research, levels of agency and capacity regarding 11 energy saving actions were self-reported and electricity consumption was metered before and during energy saving campaign. Findings show that levels of agency were lower than those of capacity for no-cost actions which require high engagement, while levels of capacity were lower than those of agency for high-cost action which require low engagement. In addition, households with high agency and high capacity reduced their electricity consumption by 9.39 % (on average); those with low agency and low capacity increased their consumption by 6.67 %; and those with a mismatch between agency and capacity reduced their consumption by 1.91 %.
Keywords
Agency and capacity Middle-out framework Electricity demand reduction Residential sectorNotes
Acknowledgments
The EU FP7 Marie Curie CIG grant no. 303443, ‘STESS: Socio-technical approach to energy services security’ supported the writing of this paper. The authors wish to thank Dr. Tamar Trop, from Haifa University.
References
- Abrahamse, W., Steg, L., et al. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology , 25(3), 273–291.CrossRefGoogle Scholar
- Darby, S. (2006). The effectiveness of feedback on energy consumption, A Review for DEFRA of the Literature on Metering, Billing and direct Displays. Oxford: Environmental Change Institute.Google Scholar
- Davies, M., & Oreszczyn, T. (2012). The unintended consequences of decarbonising the built environment: a UK case study. Energy and Buildings , 46(0), 80–85.CrossRefGoogle Scholar
- Druckman, A., & Jackson, T. (2008). Household energy consumption in the UK: a highly geographically and socio-economically disaggregated model. Energy Policy , 36(8), 3177–3192.CrossRefGoogle Scholar
- ECF (2010). European Climate Foundation. Decarbonization roadmaps for the EU-27, ECF.Google Scholar
- Ellenberg, J. H. (1994). Selection bias in observational and experimental studies. Statistics in Medicine , 13(5–7), 557–567.CrossRefGoogle Scholar
- European Commission (2011). Energy Roadmap 2050 Brussles. European: Commission.Google Scholar
- Eyre, N. (2012). Decentralisation of governance in the low carbon transition. The Handbook of Energy and Climate Change. R. Fouquet, Edward Elgar.Google Scholar
- Faiers, A., Cook, M., et al. (2007). Towards a contemporary approach for understanding consumer behaviour in the context of domestic energy use. Energy Policy , 35(8), 4381–4390.CrossRefGoogle Scholar
- Frederiks, E. R., Stenner, K., et al. (2015). Household energy use: applying behavioural economics to understand consumer decision-making and behaviour. Renewable and Sustainable Energy Reviews , 41(0), 1385–1394.CrossRefGoogle Scholar
- Gram-Hanssen, K. (2010). Residential heat comfort practices: understanding users. Building Research and Information , 38(2), 175–186.CrossRefGoogle Scholar
- Hamilton, J., Mayne, R., et al. (2014). Scaling up local carbon action: the role of partnerships, networks and policy. Carbon Management , 5(4), 463–476.CrossRefGoogle Scholar
- Janda, K. B., & Parag, Y. (2011). A middle-out approach for improving energy efficiency in existing buildings, ECEEE Summer Study, Belambra Presqu'île de Giens. France: European Council for an Energy-Efficient Economy.Google Scholar
- Janda, K. B., & Parag, Y. (2013). A middle-out approach for improving energy performance in buildings. Building Research and Information , 41(1), 39–50.CrossRefGoogle Scholar
- Loorbach, D., & Verbong, G. (Eds.) (2010). Governing the energy transition. Routledge: New York.Google Scholar
- Lopes, M., Antunes, C., et al. (2012). Energy behaviours as promoters of energy efficiency: a twenty-first century review. Renewable and Sustainable Energy Reviews , 16(6), 4095–4104.CrossRefGoogle Scholar
- Lutzenhiser, L., K. Janda, et al. (2002). Understanding the response of commercial and institutional organizations to the California energy crisis. A report to the California Energy Commission - Sylvia Bender, Project Manager.Google Scholar
- Madden, T. J., Ellen, P. S., et al. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin , 18(1), 3–9.CrossRefGoogle Scholar
- McMakin, A. H., Malone, E. L., et al. (2002). Motivating residents to conserve energy without financial incentives. Environment and Behavior , 34, 848.CrossRefGoogle Scholar
- McMillan, D. W., & Chavis, D. M. (1986). Sense of community: a definition and theory. Journal of Community Psychology , 14(1), 6–23.CrossRefGoogle Scholar
- Parag, Y. (2014). From energy security to the security of energy services: shortcomings of traditional supply-oriented approaches and the contribution of a socio-technical and user-oriented perspectives. Science & Technology Studies , 27(1), 97–108.Google Scholar
- Parag, Y. (2015). Beyond energy efficiency: a ‘prosumer market’ as an integrated platform for consumer engagement with the energy system, ECEEE 2015 Summer Study on Energy Efficiency (pp. 15–23). ECEEE: France.Google Scholar
- Parag, Y., & Janda, K. B. (2010). A middle-out approach to agency, capacity and societal change, The 8th British Institute of Energy Economics (BIEE) Academic Conference. Oxford, UK: BIEE.Google Scholar
- Parag, Y., & Janda, K. (2014). More than filler: middle actors and socio-technical change in the energy system from the “middle-out”. Energy Research & Social Science , 3, 102–112.CrossRefGoogle Scholar
- Parag, Y., & Sovacool, B. K. (2016). Electricity market design for the prosumer era. Nature Energy , 1, 16032.CrossRefGoogle Scholar
- Parag, Y., Hamilton, J., et al. (2013). Network approach for local and community governance of energy: the case of Oxfordshire. Energy Policy , 62, 1064–1077.CrossRefGoogle Scholar
- Poortinga, W., Steg, L., et al. (2004). Values, environmental concern, and environmental behavior: a study into household energy use. Environment and Behavior , 36(1), 70–93.CrossRefGoogle Scholar
- Randall, D. M., & Fernandes, M. F. (1991). The social desirability response bias in ethics research. Journal of Business Ethics , 10(11), 805–817.CrossRefGoogle Scholar
- Schultz, P. W., Nolan, J. M., et al. (2007). The constructive, destructive, and reconstructive power of social norms. Psychological Science , 18(5), 429–434.CrossRefGoogle Scholar
- Seyfang, G. (2010). Community action for sustainable housing: building a low-carbon future. Energy Policy , 38(12), 7624–7633.CrossRefGoogle Scholar
- Shove, E. (2003). Users, technologies and expectations of comfort, cleanliness and convenience. Innovation: The European Journal of Social Science Research , 16(2), 193–206.Google Scholar
- Skea, J., Ekins, P., et al. (Eds.) (2010). Energy 2050: making the transition to a secure low-carbon energy system. UKERC: London.Google Scholar
- Smith, A. (2012). Civil society in sustainable energy transitions, Governing the energy transition. New York, Routledge: D. Loorbach and G. Verbong.Google Scholar
- Smith, A., Voß, J.-P., et al. (2010). Innovation studies and sustainability transitions: the allure of the multi-level perspective and its challenges. Research Policy , 39(4), 435–448.CrossRefGoogle Scholar
- Sorrell, S. (2015). Reducing energy demand: a review of issues, challenges and approaches. Renewable and Sustainable Energy Reviews , 47(0), 74–82.CrossRefGoogle Scholar
- Stern, P. C. (2000). Toward a coherent theory of environmentally significant behavior. Journal of Social Issues , 56(3), 407–424.CrossRefGoogle Scholar
- van der Werff, E., & Steg, L. (2015). One model to predict them all: predicting energy behaviours with the norm activation model. Energy Research & Social Science , 6(0), 8–14.CrossRefGoogle Scholar
- Van Raaij, W. F., & Verhallen, T. M. M. (1983). A behavioral model of residential energy use. Journal of Economic Psychology , 3(1), 39–63.CrossRefGoogle Scholar
- Verbong, G. P., & Geels, F. W. (2010). Exploring sustainability transitions in the electricity sector with socio-technical pathways. Technological Forecasting and Social Change , 77(8), 1214–1221.CrossRefGoogle Scholar
- Walker, G., & Devine-Wright, P. (2008). Community renewable energy: what should it mean. Energy Policy , 36(2), 497–500.CrossRefGoogle Scholar