Features of energy saving potential in Lithuanian households
Keywords:energy saving potential, households, evaluation, behavior change
Scientists from all over the world recognize that saving energy in households is currently a very relevant topic. Energy resources are a very important factor for each country's economic vitality. Not only the country's replenishment in energy resources is important, but also the reduction of energy consumption volume. The Objective of the study: to assess the energy savings in households potential, applying the measures aimed at the behavior change of the population through energy-saving direction. Methodology: yhe impact of behavior change of the population measures is assessed according to the criteria of efficiency and effectiveness. In order to assess the potential for energy savings in households, the following methods, such as an experiment, the control group formation scenario, household questionnaire, were used. The questionnaire was designed to supplement the experiment, in order to gain deeper knowledge of the household, to obtain more detailed information about the nature of the behavior, to identify barriers to behavior change, and to select a control group of households to carry out the experiment. Data, results and main contribution of the paper: research shows that people's behavior related to energy saving is influenced by a number of macro-level and micro-level factors. In the article, the assumptions of the changing behavior of population are analyzed and the specific measures aimed at the behavior changes of the population selection and implementation impact assessment.
Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2007). The effect of tailored information, goal setting, and tailored feedback on household energy use, energy related behaviors, and behavioral antecedents. Environmental Psychology, 27(4). http://dx.doi.org/10.1016/j.jenvp.2007.08.002.
Baležentis, A., Baležentis, T., & Štreimikien?, D. (2011). The energy intensity in Lithuania during 1995-2009. Energy Policy, 39(9). http://dx.doi.org/10.101 6/j.enpol.2011.08.055.
Bamberg, S, & Schmidt, P. (2003) Incentives, Morality, Or Habit? Predicting Students Car Use for University Routes With the Models of Ajzen, Schwartz, and Triandis. Environment and Behavior, 35. http://dx.doi.org/10.1177/0013 916502250134.
Black, J. S., Stern, P. C., & Elworth, J. T. (1985). Personal and contextual influences on household energy adaptations. Journal of Applied Social Psychology, 28. http://dx.doi.org/10.1037/0021-9010.70.1.3.
Brownstone, D., & Bunch, D. S. (2000). Train, K. Joint mixed logit models of Stated and Revealed Preferences for alternative-fuel vehicles. Transportation Research 34. http://dx.doi.org/10.1016/S0191-2615(99)00031-4.
Čibinskien?, A., & Navickas, V. (2011). Impact of products and services prices of infrastructural natural monopolies on the factors of national competitiveness. Economics and management: 16.
Darby, S. (2006). The Effectiveness of Feedback on Energy Consumption - A Review for Defra of the Literature on Metering, Billing and Direct Displays Environmental Change Institute, Oxford University. Retrieved form http://www.eci.ox.ac.uk/research/energy/downloads/smart-metering-report.pdf (25.02.2015). http://dx.doi.org/10.4236/ojee.2013.21002.
De Young, R. (1993). Changing behavior and making it stick. The conceptualization and management of conservation behavior. Environment and Behavior, 25(4), http://dx.doi.org/10.1177/0013916593253003
Dietz, T., Gardner, G. T., Giligan, J., Stern, P. C., & Vandenberg P. (2009). Household actions can provide a behavioural wedge to rapidly reduce US carbon emissions. Proceedings of the National Academy of Science of the United States of America, 106(44).
Dulleck U., & Kaufman S. (2004). Do customer information programs reduce household electricity demand? ? the Irish programme. Energy Policy, 32. http://dx.doi.org/10.1016/S0301-4215(03)00060-0.
Ek, K. (2005). Public and Private Attitudes Towards ??Green?? Electricity: The Case of Swedish Wind Power. Energy Policy 33(13). http://dx.doi.org/ 10.1016/j.enpol.2004.02.005.
Faiers, A., C., & Neame, C. (2006). Consumer Attitudes towards Domestic Solar Power Systems. Energy Policy, 34, http://dx.doi.org/10.1016/j.enpol. 2005.01.001.
Faraqui, A.; Sergici, S., & Sharif, A. (2010). The impact of informational feedback on energy consumption?A survey of the experimental evidence. Energy, 4. http://dx.doi.org/10.1016/j.energy.2009.07.042.
Garmendia, E; & Stagl, S. (2010). Public participation for sustainability and social learning: concepts and lessons from three case studies Europe. Ecological Economics. 69.
Gifford, R. (2011). The dragons of inaction: Psychological barriers that limit climate change mitigation and adaptation. American Psychologist, 66(4).
Godwy, J. M. (2007). Behavioral economics and climate change policy. Rensselaer Working papers in Economics.
Homans, G. (1961). Social Behaviour Its Elementary Forms. London: Routledge & Kegan P.
Iyer, M., Kempton, W, & Payne, Ch. (2006). Comparison groups on bills: Automated, personalized energy infromation. Energy and Buildings 8.
Martinsson, J., Lundqvist, L. J., & Sundström, A. (2011). Energy saving in Swedish households. The (relative) importance of environmental attitudes. Energy Policy, 39 (9). http://dx.doi.org/10.1016/j.enpol.2011.05.046.
Mohr, D. (2000). Promoting sustainable behavior: An introduction to community-based social marketing. Journal of Social Issues, 56.
Nair, G. Gustavsson, L., & Mahapatra, K. (2010). Factors influencing energy efficiency investments in existing Swedish residential buildings. Energy Policy, 38 (6), http://dx.doi.org/10.1016/j.enpol.2010.01.033.
Noeren, D. (2007). CO2 Emission Reduction in the German Household Sector till 2050 ? Barriers and Incentives. Retrieved form http://www.lumes.lu.se/data base/alumni/05.07/thesis/Dominik_Noeren.pdf. (20.02.2015).
Olson, M. E. (1981). Consumer attitudes towards energy conservation. Journal of Social Issues, 37.
Poortiga, W., Steg, L., Velek, Ch., & Wiersma, G. (2003). Household preferences for energy-saving measures: a conjoint analysis. Journal of Energy Psychology 24. http://dx.doi.org/10.1016/S0167-4870(02)00154-X.
Steg, L. (2008). Promoting household energy conservation. Energy Policy, 36. http://dx.doi.org/10.1016/j.enpol.2008.09.027.
Stern, P. (2000). Toward a Coherent Theory of Environmentally Significant Behavior. Journal of Social Issues, 56. http://dx.doi.org/10.1111/0022-4537.00175.
Streimikiene, D., Volochovic, A., & Simanaviciene, A. (2012). Comparative assessment of policies targeting energy use efficiency in Lithuania. Renewable and Sustainable Energy, 16. http://dx.doi.org/10.1016/j.rser.2012.02.045.
Wilson, Ch., & Dowlatabadi, H. (2007). Models of Decision Making and Residential Energy Use. Retrieved form http://arjournals.annualreviews.org/doi/ pdf/10.1146/annurev.energy.32.053006.141137 (20.02.2015).
Zarnikau, J. (2003). Consumer demand for Green Power and Energy Efficiency. Energy Policy, 31(15). http://dx.doi.org/10.1016/S0301-4215(02)00232-X.