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Differentiated disadvantage: class, race, gender, and residential energy efficiency inequality in the United States

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Abstract

This study focuses on energy efficiency inequality in the United States. It examines the extent to which class, race, and gender, which have been shown to be key determinants of inequality in other areas, are related to energy efficiency inequality, measured by energy use intensity (EUI). Regression-based analysis of longitudinal data assembled from three waves of the Residential Energy Consumption Survey (2005, 2009, 2015), indeed, shows significant relationships between these variables and EUI in the residential sector. The results show that disadvantage in terms of EUI disparities in the African American community is differentiated by gender and class. Specifically, they show that while female-headed African American households fare worse than White households in terms of electricity EUI, male-headed African American households actually fare better. The relationship between being an African American household and residential EUI is conditioned by income: as incomes rise, EUI for housing units occupied by African American households decreases. This study underscores the importance of considering the joint influence of class, race, and gender when analyzing residential energy inequality, burdens, or insecurity.

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Notes

  1. Information retrieved 12/12/19 from: https://www.eia.gov/todayinenergy/detail.php?id=9951

  2. https:/www.eia.gov/energyexplained/use-of-energy/efficiency-and-conservation.php

  3. https://www.imt.org/resources/map-u-s-building-benchmarking-policies/

  4. Information retrieved 12/12/19 from: https://www.eia.gov/todayinenergy/detail.php?id=9951

  5. https://www.eia.gov/consumption/residential/

  6. https://www.eia.gov/todayinenergy/detail.php?id=38332

  7. The other approaches are anticategorical and intercategorical. The anticategorical approach focuses on the deconstruction of categories. The approach considers social life as irreducibly complex, which makes “…fixed categories anything but simplifying social fictions that produce inequalities in the process of producing differences” (McCall, 2005:1173). According to McCall, the anticategorical approach renders the use of categories suspect. The intercategorical approach is also referred to as the categorical approach. The approach observes that “there are relationships of inequality among already constituted social groups, as imperfect and ever changing as they are, and takes those relationships as the center of analysis” (McCall, 2005:1785). From this approach, therefore, researchers’ task is to explain those relationships, which entails starting with categories.

References

  • Adua, L. (2020). Reviewing the complexity of energy behavior: Technologies, analytical traditions, and household energy consumption data in the United States. Energy Research & Social Science, 59, 101289.

    Article  Google Scholar 

  • Adua, L., Clark, B., York, R., & Chen, C.-F. (2019). Modernizing our way out or digging ourselves in? Reconsidering the impacts of efficiency innovations and affluence on residential energy consumption, 2005–2015. Journal of Environmental Management, 252, 109659.

    Article  Google Scholar 

  • Autor, David H. 2014. “Skills, education, and the rise of earnings inequality among the ‘other 99 percent’” Science (New York, N.Y.), 344(6186):843–51.

  • Ballesteros-Arjona, V., Oliveras, L., Muñoz, J. B., de Labry Lima, A. O., et al. (2022). What are the effects of energy poverty and interventions to ameliorate it on people’s health and well-being?: A scoping review with an equity lens. Energy Research & Social Science, 87, 102456.

    Article  Google Scholar 

  • Barr, D. A. (2008). Health disparities in the United States: Social class, race, ethnicity, and health. Johns Hopkins University Press.

    Google Scholar 

  • Bednar, D. J., & Reames, T. G. (2020). Recognition of and response to energy poverty in the United States. Nature Energy, 5, 432–439. https://doi.org/10.1038/s41560-020-0582-0

    Article  Google Scholar 

  • Bednar, D. J., Reames, T. G., & Keoleian, G. A. (2017). The intersection of energy and justice: Modeling the spatial, racial/ethnic and socioeconomic patterns of urban residential heating consumption and efficiency in Detroit, Michigan. Energy & Buildings, 143, 25–34.

    Article  Google Scholar 

  • Bernhardt, A. D., Morris, M., Handcock, M. S., & Scott, M. A. (2001). Divergent paths: Economic mobility in the new american labor market. Russell Sage Foundation.

    Google Scholar 

  • Bohr, J., & McCreery, A. C. (2019). Do energy burdens contribute to economic poverty in the United States? A panel analysis. Social Forces, 99(1):155–177.

  • Bridges, W. P. (1982). The sexual segregation of occupations: Theories of labor stratification in industry. American Journal of Sociology, 88(2), 270–295.

    Article  Google Scholar 

  • Brown, M. A., Soni, A., Lapsa, M. V., Southworth, K., & Cox, M. (2020). High energy burden and low-income energy affordability: Conclusions from a literature review. Progress in Energy, 2(4), 042003. https://doi.org/10.1088/2516-1083/abb954

    Article  Google Scholar 

  • Browne, I., & Misra, J. (2003). The intersection of gender and race in the labor market. Annual Review of Sociology, 29(1), 487–513.

    Article  Google Scholar 

  • Cage, J., Corley, N. A., & Harris, L. A. (2018). The educational attainment of maltreated youth involved with the child welfare system: Exploring the intersection of race and gender. Children and Youth Services Review, 88, 550–557.

    Article  Google Scholar 

  • Child Health Impact Working Group. (2007). Unhealthy consequences: Energy costs and child health. Child Health Impact Working Group.

    Google Scholar 

  • Condron, D. J. (2009). Social class, school and non-school environments, and Black/White inequalities in children’s learning. American Sociological Review, 74(5), 685–708.

    Article  Google Scholar 

  • Conti, G., Heckman, J., & Urzua, S. (2010). The education-health gradient. The American Economic Review, 100(2), 234–238.

    Article  Google Scholar 

  • Cottrell, F. (1955). Energy and society: The relation between energy, social changes, and economic development. McGraw-Hill.

    Google Scholar 

  • Crenshaw, K. (1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43(6), 1241–1299.

    Article  Google Scholar 

  • Crenshaw, K. (1989). “Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics.” University of Chicago Legal Forum 1989(1), 139–168.

  • Davis, S. C., & Boundy, R. G. (2019). Transportation energy data book (37th ed.). U.S. Department of Energy.

    Google Scholar 

  • Desilva, S., & Elmelech, Y. (2012). Housing inequality in the United States: Explaining the white-minority disparities in homeownership. Housing Studies, 27(1), 1–26.

    Article  Google Scholar 

  • Dillman, D. A., Rosa, E. A., & Dillman, J. J. (1983). Lifestyle and home energy conservation in the United States: The poor accept lifestyle cutbacks while the wealthy invest in conservation. Journal of Economic Psychology, 3(3), 299–315.

    Article  Google Scholar 

  • Drehobl, A. and Lauren Ross. (2016). “Lifting the high energy burden in America’s largest cities: How energy efficiency can improve low income and underserved communities.” American Council for an Energy-Efficient Economy (ACEEE) (https://aceee.org/research-report/u1602).

  • England, P. (2005). Gender inequality in labor markets: The role of motherhood and segregation. Social Politics: International Studies in Gender, State & Society, 12(2), 264–288.

    Article  Google Scholar 

  • Frank, D. A., Neault, N. B., Skalicky, A., Cook, J. T., Wilson, J. D., Levenson, S., Meyers, A. F., Heeren, T., Cutts, D. B., Casey, P. H., Black, M. M., & Berkowitz, C. (2006). Heat or eat: The low income home energy assistance program and nutritional and health risks among children less than 3 years of age. Pediatrics, 118(5), e1293-1302.

    Article  Google Scholar 

  • Gamoran, A. (2001). American schooling and educational inequality: A forecast for the 21st century. Sociology of Education, 74, 135–153.

    Article  Google Scholar 

  • Gemmell, I. (2001). Indoor heating, house conditions, and health. Journal of Epidemiology and Community Health, 55, 928–929.

    Article  Google Scholar 

  • Guenther, K. M., Pendaz, S., & Makene, F. S. (2011). The impact of intersecting dimensions of inequality and identity on the racial status of Eastern African immigrants. Sociological Forum, 26(1), 98–120.

  • Heinberg, Richard. (2004). Powerdown: Options and actions for a post-carbon world. New Society Publishers.

    Google Scholar 

  • Hernández, Diana and Stephen Bird. 2010. “Energy burden and the need for integrated low-income housing and energy policy.” Poverty & Public Policy, 2(4):668–688.

  • IEA. (2014). Capturing the Multiple Benefits of Energy Efficiency. OECD/IEA.

  • Jacobs, D., & Dirlam, J. C. (2016). Politics and economic stratification: Power resources and income inequality in the United States. American Journal of Sociology, 122(2), 469–500.

    Article  Google Scholar 

  • Jacobsen, G. D., & Kotchen, M. J. (2013). Are building codes effective at saving energy? Evidence from residential billing data in Florida. Review of Economics and Statistics, 95(1), 34–49.

    Article  Google Scholar 

  • Jorgenson, A. K., & Givens, J. (2015). The changing effect of economic development on the consumption-based carbon intensity of well-being, 1990–2008. PLoS ONE, 10(5), e0123920.

    Article  Google Scholar 

  • Jorgenson, A. K., Dietz, T., & Kelly, O. (2018). Inequality, poverty, and the carbon intensity of human well-being in the United States: A sex-specific analysis. Sustainability Science, 13(4), 1167–1174.

    Article  Google Scholar 

  • Kao, G., & Thompson, J. S. (2003). Racial and ethnic stratification in educational achievement and attainment. Annual Review of Sociology, 29, 417–442.

    Article  Google Scholar 

  • Kim, J. H. (2019). Multicollinearity and misleading statistical results. Korean Journal of Anesthesiology, 72(6), 558–569. https://doi.org/10.4097/kja.19087

    Article  Google Scholar 

  • Kontokosta, C. E., Reina, V. J., & Bonczak, B. (2019). Energy cost burdens for low-income and minority households: Evidence from energy benchmarking and audit data in five U.S. cities. Journal of the American Planning Association, 86(1), 89–105.

    Article  Google Scholar 

  • Larson, K., & Halfon, N. (2010). Family income gradients in the health and health care access of US children. Maternal and Child Health Journal, 14(3), 332–342.

    Article  Google Scholar 

  • Lewis, Jamal, Hernández, Diana, & Geronimus, Arline T. (2019). Energy efficiency as energy justice: Addressing racial inequities through investments in people and places. Energy Efficiency, 13, 419–432.

  • Liddell, C., & Guiney, C. (2015). Living in a cold and damp home: Frameworks for understanding impacts on mental well-being. Public Health, 129(3), 1–199.

    Article  Google Scholar 

  • Lutzenhiser, L. (1993). Social and behavioral aspects of energy use. Annual Review of Energy and the Environment, 18(1), 247–289.

    Article  Google Scholar 

  • Manuel, J. I. (2018). Racial/ethnic and gender disparities in health care use and access. Health Services Research, 53(3), 1407–1429.

    Article  Google Scholar 

  • McCall, Leslie. (2005). “The complexity of intersectionality” Signs, 30(3), 1771–1800.

  • Morris, M., & Bruce W. (1999). “Inequality in earnings at the close of the twentieth century.” Annual Review of Sociology, 25, 623–657.

  • Nadel, Steven, Neal Elliott, and Therese Langer. 2015. Energy efficiency in the United States: 35 Years and Counting. Report E1502. Washington, DC: American Council for an Energy-Efficient Economy.

  • NASEM. 2017. Communities in action: Pathways to health equity. Washington, DC: National Academies Press (US).

  • Nawyn, S. J. (2014). The magnifying effect of privilege: Earnings inequalities at the intersection of gender, race, and nativity. Feminist Formations, 26(2), 85–106.

    Article  Google Scholar 

  • Neckerman, K. M., & Torche, F. (2007). Inequality: Causes and consequences. Annual Review of Sociology, 33, 335–357.

    Article  Google Scholar 

  • Oliver, M. L. (1995). Black wealth/White wealth: A new perspective on racial inequality. Routledge.

    Google Scholar 

  • Owens, A. (2018). Income segregation between school districts and inequality in students’ achievement. Sociology of Education, 91(1), 1–27.

    Article  Google Scholar 

  • Powell, Alvin. (2016). “The costs of inequality: money = quality health care = longer life.” Harvard Gazette. Retrieved February 5, 2020 (https://news.harvard.edu/gazette/story/2016/02/money-quality-health-care-longer-life/).

  • Reames, T. G. (2016). Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency. Energy Policy, 97, 549–558.

    Article  Google Scholar 

  • Reames, T. G., Reiner, M. A., & Ben Stacey, M. (2018). An incandescent truth: Disparities in energy-efficient lighting availability and prices in an urban U.S. county. Applied Energy, 218, 95–103.

    Article  Google Scholar 

  • Relf, Grace, Brendon Baatz, and Seth Nowak. (2017). The 2017 utility energy efficiency scorecard. Washington, DC: American Council for an Energy-Efficient Economy.

  • Rosa, E. A., Machlis, G. E., & Keating, K. M. (1988). Energy and society. Annual Review of Sociology, 14, 149–172.

    Article  Google Scholar 

  • Rosenfield, S. (2012). Triple jeopardy? Mental health at the intersection of gender, race, and class. Social Science & Medicine, 74(11), 1791–1801.

    Article  Google Scholar 

  • Rothman, R. A. (2004). Inequality and stratification: Race, class, and gender (5th ed.). Routledge.

    Google Scholar 

  • Sigle-Rushton, W., & Elin L. (2012). “Intersectionality.” Pp. 129–34 in Gender: The Key Concepts, Routledge key guides, edited by M. Evans and C. Williams. Abingdon, Oxon ; New York: Routledge.

  • Sovacool, B. K. (2012). The political economy of energy poverty: A review of key challenges. Energy for Sustainable Development, 16, 272–282.

    Article  Google Scholar 

  • Stainback, K., & Tomaskovic-Devey, D. (2009). Intersections of power and privilege: Long-term trends in managerial representation. American Sociological Review, 74(5), 800–820.

    Article  Google Scholar 

  • Sutton, A., Langenkamp, A. G., Muller, C., & Schiller, K. S. (2018). Who gets ahead and who falls behind during the transition to high school? Academic performance at the intersection of race/ethnicity and gender. Social Problems, 65(2), 154–173.

    Article  Google Scholar 

  • The Stanford Center on Poverty and Inequality. (2018). State of the Union 2018. Special Issue 2018.

  • Thurston, R. C., Kubzansky, L. D., Kawachi, I., & Berkman, L. F. (2005). Is the association between socioeconomic position and coronary heart disease stronger in women than in men? American Journal of Epidemiology, 162(1), 57–65.

    Article  Google Scholar 

  • U.S. Department of Energy. (2008). Energy efficiency trends in residential and commercial buildings. Washington, DC: Energy Efficiency and Renewable Energy.

  • Vandenbergh, Michael P. & Gilligan, J. M. (2017). Beyond Politics: The Private Governance Response to Climate Change. Cambridge, United Kingdom: Cambridge University Press.

  • Wang, Q., Kwan, M.-P., Fan, J., & Lin, J. (2021). Racial disparities in energy poverty in the United States”. Renewable and Sustainable Energy Reviews, 137, 110620.

    Article  Google Scholar 

  • Wiel, S., Martin, N., Levine, M., Price, L., & Sathaye, J. (1998). The role of building energy efficiency in managing atmospheric carbon dioxide. Environmental Science & Policy, 1(1), 27–38.

    Article  Google Scholar 

  • Williams, D. R., Mohammed, S. A., Leavell, J., & Collins, C. (2010). Race, socioeconomic status, and health: Complexities, ongoing challenges, and research opportunities. Annals of the New York Academy of Sciences, 1186, 69–101.

    Article  Google Scholar 

  • Yuval-Davis, N. (2006). Intersectionality and feminist politics. European Journal of Women’s Studies, 13(3), 193–209.

    Article  Google Scholar 

  • Zhao, D., McCoy, A., & Jing, Du. (2016). An empirical study on the energy consumption in residential buildings after adopting green building standards. Procedia Engineering, 145, 766–773.

    Article  Google Scholar 

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Adua, L., De Lange, R. & Aboyom, A.I. Differentiated disadvantage: class, race, gender, and residential energy efficiency inequality in the United States. Energy Efficiency 15, 49 (2022). https://doi.org/10.1007/s12053-022-10056-7

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