Abstract
Multilateral climate agreements are more likely to be successful when they acknowledge and address both differences in country energy use behavior and the factors that shape behavior. This paper employs an Oaxaca-Blinder decomposition to analyze factors underlying differences in residential energy use behavior in Germany and the USA. We focus on three household decisions: purchasing energy-efficient appliances, employing energy-saving measures like turning off lights when leaving a room, and purchasing fuel-efficient vehicles. For all of these decisions, US household adoption is significantly lower than German household adoption. These differences in observed energy use behavior are decomposed into components arising from differences in country mean characteristic and from differences in adoption propensities for given characteristics. Both country characteristics and propensities contribute to observed energy use behavior differences in German and US households. In particular, perceptions of the human role in climate change, financial advantages of energy savings, and effectiveness of energy savings in combating climate change play significant roles in generating observed country difference.
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Notes
Errors are ignored in the specification of the decomposition, as their expected means equal zero.
Urban and Ščasný (2016) find in a multi-country study that the distinction between conservation (curtailment) and efficiency is not empirically valid. This analysis does not attempt to identify distinctions between the two types of energy use behavior.
The survey data has been used, among others, in Schleich et al. (2014) to study the relevance of perceptions of climate policy to planned voluntary climate protection activities, and in Schleich and Faure (2017) to analyze cross-country differences in individual perceptions of climate policy relevance.
Sample size varies slightly the energy-efficient appliance purchase, use of energy saving practices at home, and energy-efficient automobile purchase samples due to additional slight differences in missing values for these variables. Descriptive statistics in table 1 are for the energy-efficient appliance purchase sample.
Conservative methods are employed to calculate average incomes. Thus, the income data reported from the survey is expected to be a lower value than that in census data.
We focus on estimates that are statistically significant at least at p = 0.05 in a two-tailed t test.
The endowment term differences employ the US coefficient to determine the impact of the variable mean differences. The coefficient term differences employ the US variable mean responses to determine the impact of the variable parameter estimate differences.
The endowment term decomposition again employs the US model coefficient estimates to determine the impact of the variable mean differences. The coefficient term differences employ US variable means to determine the impact of the variable parameter estimate differences.
References
Akerlof, G. A. (2007). The missing motivation in macroeconomics. American Economic Review, 97(1), 5–36. https://doi.org/10.1257/aer.97.1.5.
Allcott, H., & Wozny, N. (2014). Gasoline prices, fuel economy, and the energy paradox. The Review of Economics and Statistics, 156, 1–59.
Ameli, N., & Brandt, N. (2015). Determinants of households’ investment in energy efficiency and renewables: Evidence from the OECD survey on household environmental behavior and attitudes. Environmental Research Letters, 10(4), 44015. https://doi.org/10.1088/1748-9326/10/4/044015.
Arora, R. (2005). Homeownership soars in China. Gallup. http://www.gallup.com/poll/15082/homeownership-soars-china.aspx. Accessed 3 December 2007.
Attari, S., DeKay, M., Davidson, C., & de Bruin, W. (2010). Public perceptions of energy consumption and savings. PNAS Early Edition, 107(37), 16054–16059. https://doi.org/10.1073/pnas.1001509107.
Bartiaux, F. , Vekemans, G., & Gram-Hanssen, D. et al. (2006). Sociotechnical factors influencing residential energy consumption—part 1: Sustainable production and consumption patterns. Scientific Support Plan for a Sustainable Development Policy. Belgian Science Policy.
Black, J. S., Stern, P. C., & Elsworth, J. T. (1985). Personal and contextual influences on household energy adaptations. Journal of Applied Psychology, 70(1), 3–21. https://doi.org/10.1037/0021-9010.70.1.3.
Blinder, A. A. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources, 8(4), 436–455. https://doi.org/10.2307/144855.
Bowles, S. (2008). Policies designed for self-interested citizens may undermine ‘the moral sentiments’: Evidence from economic experiments. Science, 320(5883), 1605–1609. https://doi.org/10.1126/science.1152110.
Brechling, V., & Smith, S. (1994). Household energy efficiency in the UK. Fiscal Studies, 15(2), 44–56. https://doi.org/10.1111/j.1475-5890.1994.tb00196.x.
Cayla, J.M., Allibe, B., & Laurent, M.H. (2010). From practices to behaviors: Estimating the impact of household behavior on space heating energy consumption. In ACEEE Summer Study on Energy Efficiency in Buildings.
Cohen, F., Glachant, M., & Söderberg, M. (2017). Consumer myopia, imperfect competition and the energy efficiency gap: Evidence from the UK refrigerator market. European Economic Review, 93, 1–23. https://doi.org/10.1016/j.euroecorev.2017.01.004.
Curtis, F. A., Simpson-Housley, P., & Drever, S. (1984). Communications on energy household energy conservation. Energy Policy, 12(4), 452–456. https://doi.org/10.1016/0301-4215(84)90109-5.
Davis, L. W. (2011). Evaluating the slow adoption of energy efficient investments: Are renters less likely to have energy efficient appliances? In D. Fullerton & C. Wolfram (Eds.), The design and implementation of U.S. climate policy (pp. 301–316). Chicago: University of Chicago Press.
D'Alessio, G., Gambacorta, R., & Ilardi, G. (2013). Are Germans poorer than other Europeans? The principal Eurozone differences in wealth and income. VOX. http://voxeu.org/article/are-germans-poorer-other-europeans-principal-eurozone-differences-wealth-and-income. Accessed 3 December 2007.
Di Maria, C., Ferreira, S., & Lazarova, E. (2010). Shedding light on the light bulb puzzle: The role of attitudes and perceptions in the adoption of energy efficient light bulbs. Scottish Journal of Political Economy, 57(1), 48–67. https://doi.org/10.1111/j.1467-9485.2009.00506.x.
Dunlap, R., van Liere, K., Mertig, A., & Jones, R. E. (2000). Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues, 56(3), 425–442. https://doi.org/10.1111/0022-4537.00176.
Dupont, D. P. (2004). Do children matter? An examination of gender differences in environmental valuation. Ecological Economics, 49(3), 273–286. https://doi.org/10.1016/j.ecolecon.2004.01.013.
European Central Bank (2013). The Eurosystem household finance and consumption survey. Results from the first wave. Statistics Paper Series 2. Eurosystem Household Finance and Consumption Network.
Fehr, E., & Fischbacher, U. (2002). Why social preferences matter—The impact of non-selfish motives on competition, cooperation and incentives. The Economic Journal, 112(478), C1–C33. https://doi.org/10.1111/1468-0297.00027.
Greening, L. A., Greene, D. L., & Difiglio, C. (2000). Energy efficiency and consumption—The rebound effect—A survey. Energy Policy, 28(6–7), 389–401. https://doi.org/10.1016/S0301-4215(00)00021-5.
Hassett, K., & Metcalf, G. (1995). Energy tax credits and residential conservation investment: Evidence from panel data. Journal of Public Economics, 57(2), 201–217. https://doi.org/10.1016/0047-2727(94)01452-T.
Hirst, E., & Goeltz, R. (1982). Residential energy conservation actions: Analysis of disaggregated data. Energy Systems and Policy, 6, 135–150.
Intergovernmental Panel on Climate Change (IPCC). (2014). Climate Change 2014 Synthesis Report Summary for Policy Makers.
Jaffe, A. B., & Stavins, R. N. (1994). Energy-efficiency investments and public policy. The Energy Journal, 15, 43–65.
Kahn, M. E. (2007). Do greens drive hummers or hybrids? Environmental ideology as a determinant of consumer choice. Journal of Environmental Economics and Management, 54(2), 129–145. https://doi.org/10.1016/j.jeem.2007.05.001.
Kammerer, D. (2009). The effects of customer benefit and regulation on environmental product innovation: Empirical evidence from appliance manufacturers in Germany. Ecological Economics, 68(8-9), 2285–2295. https://doi.org/10.1016/j.ecolecon.2009.02.016.
Kollmuss, A., & Agyeman, M. (2002). Mind the gap: Why people act environmentally and what are the barriers to pro-environmental behaviours? Environmental Education Research, 8(3), 239–260. https://doi.org/10.1080/13504620220145401.
Krishnamurthy, C. K. B., & Kriström, B. (2015). How large is the owner-renter divide in energy efficient technology? Evidence from an OECD cross-section. The Energy Journal, 36(4), 85–104.
Leiserowitz, A., Smith, N., & Marlon, J. R. (2010). Americans’ knowledge of climate change. Yale University. New Haven: Yale Project on Climate Change Communication.
Long, J. (1993). An econometric analysis of residential expenditures on energy conservation and renewable energy sources. Energy Economics, 15(4), 232–238. https://doi.org/10.1016/0140-9883(93)90012-G.
Lopez, A. G., & Cuervo-Arango, M. A. (2008). Relationship among values, beliefs, norms, and ecological behaviour. Psicothema, 20, 623–629.
Mills, B. F., & Schleich, J. (2010). Why don’t households see the light? Explaining the diffusion of compact fluorescent lamps. Resource and Energy Economics, 32(3), 363–378. https://doi.org/10.1016/j.reseneeco.2009.10.002.
Mills, B. F., & Schleich, J. (2012). Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries. Energy Policy, 49, 616–628. https://doi.org/10.1016/j.enpol.2012.07.008.
Murray, A., & Mills, B. F. (2014). The impact of low-income home energy assistance program participation on household energy insecurity. Contemporary Economic Policy, 32(4), 811–825. https://doi.org/10.1111/coep.12050.
OECD. (2011). Greening household behaviour: overview from the 2011 survey - revised edition. OECD Publishing.
Olli, E., Grendstad, G., & Wollebaek, D. (2001). Correlates of environmental behaviour: Bringing back social context. Environmental and Behavior, 33, 181–208.
Pew Research Center. (2015). Personal toll of climate change a substantial concern in Latin America, Sub-Saharan Africa. http://www.pewglobal.org/2015/11/05/1-concern-about-climate-change-and-its-consequences/. Accessed 3 December 2007.
PBL. (2014). Trends in global CO2 emission. The Hague: PBL Netherlands Environmental Assessment Agency.
Qiu, Y., Colson, G., & Grebitus, C. (2014). Risk preferences and purchase of energy-efficient technologies in the residential sector. Ecological Economics, 107, 216–229. https://doi.org/10.1016/j.ecolecon.2014.09.002.
Reiss, P. C., & White, M. W. (2008). What changes energy consumption? Process and public pressures. RAND Journal of Economics, 39(3), 636–663. https://doi.org/10.1111/j.1756-2171.2008.00032.x.
Sardianou, E., & Genoudi, P. (2013). Which factors affect the willingness of consumers to adopt renewables energies? Renewable Energy, 57, 1–4. https://doi.org/10.1016/j.renene.2013.01.031.
Schleich, J., & Faure, C. (2017). Explaining citizens’ perceptions of international climate-policy relevance. Energy Policy, 103, 62–71. https://doi.org/10.1016/j.enpol.2017.01.014.
Schleich, J., Gassmann, X., Faure, C., & Meissner, T. (2016). Making the implicit explicit: A look inside the implicit discount rate. Energy Policy, 97, 321–331. https://doi.org/10.1016/j.enpol.2016.07.044.
Schleich, J., Schwirplies, C., & Ziegler, A. (2014). Private provision of public goods: Do individual climate protection efforts depend on perceptions of climate policy? MAGKS Discussion Paper No. 53–2014.
Schultz, T. (1975). The Value of the Ability to Deal With Disequilibria. Journal of Economic Literature, 13, 827–846.
Scott, S. (1997). Household energy efficiency in Ireland: A replication study of owner of energy saving items. Energy Economics, 19(2), 187–208. https://doi.org/10.1016/S0140-9883(96)01000-6.
Sjoberg, L., & Engelberg, E. (2005). Lifestyles, and risk perception consumer behavior. International Review of Sociology / Revue Internationale de Sociologie, 15, 327–362.
Steentjes, K., Pidgeon, N., Poortinga, W., Corner, A., Arnold, A., Böhm, G., Mays, C., Poumadère, M., Ruddat, M., Scheer, D., Sonnberger, M., & Tvinnereim, E. (2017). European perceptions of climate change: Topline findings of a survey conducted in four European countries in 2016. Cardiff: Cardiff University.
Thapa, B. (1999). Environmentalism: The relation of environmental attitudes and environmentally responsible behaviors among undergraduate students. Bulletin of Science, Technology & Society, 19, 432–444.
Torgler, B., Garcia-Valinas, M. A., & Macintyre, A. (2008). Differences in preferences towards the environment: The Impact of a gender, age and parental effect. Fondazione Eni Enrico Mattei.
United States Census Bureau QuickFacts. (2014). https://www.census.gov/quickfacts/fact/table/US/PST045216. Accessed 3 December 2007.
United States Environmental Protection Agency. (2016). Global greenhouse gas emissions data.
Urban, J., & Ščasný, M. (2012). Exploring domestic energy-saving: The role of environmental concern and background variables. Energy Policy, 47(2012), 69–80. https://doi.org/10.1016/j.enpol.2012.04.018.
Urban, J., & Ščasný, M. (2016). Structure of domestic energy savings: How many dimensions? Environment and Behavior, 48(3), 454–481. https://doi.org/10.1177/0013916514547081.
Verhallen, T., & Van Raaij, W. F. (1981). Household behavior and the use of natural gas for home heating. Journal of Consumer Research, 8(3), 253–257. https://doi.org/10.1086/208862.
Vespa, J., Lewis, J. M., & Kreider, R. M. (2013). American's Families and Living Arrangements: 2012. U.S. Census Bureau. https://www.census.gov/prod/2013pubs/p20-570.pdf. Accessed 3 December 2007.
Acknowledgements
Data was collected within a project titled “The Relevance of Voluntary Efforts and Fairness Preferences for the Success of International Climate Policy: A Theoretical and Empirical Analysis at the Individual Level” (VolFair). VolFair is supported by the Bundesministerium für Bildung und Forschung (German Federal Ministry of Education and Research) under the funding priority “Economics of climate change” (grant number 01 LA 1123 B). We thank Elisabeth Dütschke, Claudia Schwirplies, and Andreas Ziegler for their substantial contribution to the design and implementation of the survey. Long was supported though a US NSF Division of Chemistry Award (1560240) Research Experience for Undergraduates summer fellowship at Virginia Tech.
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This article is part of the topical collection “Energy and Climate Economic Modeling”
Guest editors “Milan Ščasný and Anna Alberini”
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Long, C., Mills, B.F. & Schleich, J. Characteristics or culture? Determinants of household energy use behavior in Germany and the USA. Energy Efficiency 11, 777–798 (2018). https://doi.org/10.1007/s12053-017-9596-2
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DOI: https://doi.org/10.1007/s12053-017-9596-2