Abstract
Sustainability requires reducing the carbon intensity of human well-being (CIWB): the level of anthropogenic carbon emissions per unit of human well-being. Here, we examine how multiple forms of inequality affect sex-specific measures of CIWB using data for the 50 US states, while taking into account the effects of other socio-economic and political factors. Results from longitudinal models indicate that state-level female CIWB and male CIWB are both positively associated with (1) income concentration, measured as the income share of the top 10%, and (2) the percent of the population at or below the poverty line. Overall inequality, as measured by the Gini coefficient, has no net effect on male CIWB or female CIWB. These findings suggest that reducing forms of inequality, especially poverty and the concentration of income among the most affluent, are potential pathways to sustainability.
References
Allison P (2009) Fixed effects regression models. Sage Publications, Thousand Oaks
Ambrey C, Daniels P (2017) Happiness and footprints: assessing the relationship between individual well-being and carbon footprints. Environ Dev Sustain 19:895–920
Boyce J (1994) Inequality as a Cause of Environmental Degradation. Ecol Econ 11:169–178
Cameron C, Trivedi P (2009) Microeconometrics using stata. Stata Press, College Station
Dietz T (2015) Prolegomenon to a structural human ecology of human well-being. Sociol Dev 1:123–148
Dietz T, Jorgenson A (2014) Towards a new view of sustainable development: human well-being and environmental stress. Environ Res Lett 9:031001
Dietz T, Rosa E, York R (2009) Efficient well-being: rethinking sustainability as the relationship between human well-being and environmental impacts. Hum Ecol Rev 16:113–122
Dietz T, Rosa E, York R (2012) Environmentally efficient well-being: is there a Kuznets curve? J Appl Geogr 32:21–28
Dietz T, Frank K, Whitley C, Kelly J, Kelly R (2015) Political influences on greenhouse gas emissions from US States. Proc Natl Acad Sci 112:8254–8259
Feng J, Yuan J (2016) Effect of technology innovation and spillovers on the carbon intensity of human well-being. Springer Plus 5:346
Frank M, Sommeiller E, Price M, Saez E (2015) Frank–Sommeiller–Price series for top income shares by US States since 1917. Methodological notes, The World Top Incomes Database. http://www.wid.world/. Accessed 6 Aug 2015
Givens J (2016) Urbanization, slums, and the carbon intensity of well-being: implications for sustainable development. Hum Ecol Rev 22:107–128
Givens J (forthcoming) World society, world polity, and the carbon intensity of well-being, 1990–2011. Sociol Dev
Jorgenson A (2014) Economic development and the carbon intensity of human well-being. Nat Clim Change 4:186–189
Jorgenson A (2015) Inequality and the carbon intensity of human well-being. J Environ Stud Sci 5:277–282
Jorgenson A, Dietz T (2015) Economic growth does not reduce the ecological intensity of human well-being. Sustain Sci 10:149–156
Jorgenson A, Givens J (2015b) The changing effect of economic development on the consumption-based carbon intensity of well-being. PLoS One 10(5):e0123920
Jorgenson A, Alekseyko A, Giedraitis V (2014) Energy consumption, human well-being and economic development in central and eastern European nations: a cautionary tale of sustainability. Energy Policy 66:419–427
Jorgenson A, Schor J, Huang X (2017) Income inequality and carbon emissions in the United States: a state-level analysis, 1997–2012. Ecol Econ 134:40–48
Knight K (2014) Temporal variation in the relationship between environmental demands and well-being: a panel analysis of developed and less-developed countries. Popul Environ 36:32–47
Knight K, Rosa E (2011) The environmental efficiency of well-being: a cross-national analysis. Soc Sci Res 40:931–949
Lamb W, Steinberger J (2017) Human well-being and climate change mitigation. Wiley Interdiscip Rev Clim Change. https://doi.org/10.1002/wcc.485
Lamb W, Steinberger J, Bows-Larkin A, Peters G, Roberts T, Wood FR (2014) Transitions in pathways of human development and carbon emissions. Environ Res Lett 9:014011
Mazur A (2011) Does increasing energy or electricity consumption improve quality of life in industrial nations?” Energy Policy 39:2568–2572
Mikkelson G, Gonzalez A, Garry D, Peterson (2007) Economic inequality predicts biodiverstiy loss. PLoS One 2(5):e444
Mohai P, Pellow D, Roberts T (2009) Environmental justice. Annu Rev Environ Resour 34:404–430
Montez J, Karas A, Zajacova, Hayward M (2016) Explaining inequalities in women’s mortality between US states. SSM Popul Health 2:561–571
Nilsson M, Griggs D, Visbeck M (2016) Map the interactions between sustainable development goals. Nature 534:320–322
Pickett K, Wilkinson R (2015) Income inequality and health: a causal review. Soc Sci Med 128:316–326
Pongiglione F (2015) The need for a priority structure for the sustainable development goals. J Glob Eth 11:37–42
Reddy S, Kvangraven IH (2015) Global development goals: if at all, why, when and how?. SSRN: https://ssrn.com/abstract=2666321. Accessed 12 Oct 2017
Rudel T (2009) How do people transform landscapes? A sociological perspective on suburban sprawl and tropical deforestation. Am J Sociol 115:129–154
Ruggles S, Genadek K, Goeken R, Grover J, Sobek M (2015) Integrated public use microdata series: version 6.0 [Machine-readable database]. University of Minnesota, Minneapolis
Steinberger J, Roberts T (2010) From constraint to sufficiency: the decoupling of energy and carbon from human needs, 1975–2005. Ecol Econ 70:425–433
Steinberger J, Roberts T, Peters G, Baiochi G (2012) Pathways of human development and carbon emissions embodied in trade. Nat Clim Change 2:81–85
Sweidan O (2017) Economic performance and carbon intensity of human well-being: empirical evidence from the MENA region. J Environ Plan Manag. https://doi.org/10.1080/09640568.2017.1332986
Sweidan O, Alwaked A (2016) Economic development and the energy intensity of human well-being: evidence from the GCC countries. Renew Sustain Energy Rev 55:1363–1369
Tencza C, Stokes A, Preston S (2014) Factors responsible for mortality variation in the United States: a latent variable analysis. Demogr Res 21:27–70
Torras M, Boyce J (1998) Income, inequality, and pollution: a reassessment of the environmental Kuznets curves. Ecol Econ 25:147–160
Wang H, Schumacher A, Levitz C, Mokdad A, Murray C (2013) Left behind: widening disparities for males and females in US county life expectancy, 1985–2010. Popul Health Metr 11:8. https://doi.org/10.1186/1478-7954-11-8****
Wilmoth JR, Boe C, Barbieri M (2011) Geographic differences in life expectancy at age 50 in the United States compared with other high-income countries. In: Crimmins E, Preston S, Cohen B (eds) International differences in mortality at older ages. The National Academies Press, Washington, DC, pp 333–368
World Commission on Environment and Development (1987) Our common future. Oxford University Press, Oxford
York R (2012) Residualization is not the answer: rethinking how to address multicollinearity. Soc Sci Res 41:1379–1386
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Handled by Suneetha Subramanian, United Nations University Center Administration, India.
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Jorgenson, A.K., Dietz, T. & Kelly, O. Inequality, poverty, and the carbon intensity of human well-being in the United States: a sex-specific analysis. Sustain Sci 13, 1167–1174 (2018). https://doi.org/10.1007/s11625-017-0517-2
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DOI: https://doi.org/10.1007/s11625-017-0517-2