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The Carbon Cost of an Educated Future: A Consumer Lifestyle Approach

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  • Ethan Sharygin

Abstract

Demographic and economic growth will account for most of the anticipated growth in greenhouse gas (GHG) emissions in the next century. Education is associated with development, and the world population in the near future is likelyto be significantly better educated than today. Previous studies ofhousehold energy demand and associated emissions have not directly considered the consequences of a more educated population. In this study, I estimate the energy intensity of consumption dollars and the total impact of households according to their demographic characteristics, with particular attention to differences in spending habits by education and the environmental consequences. I find that education results in fewer emissions per household, holding other household characteristics constant. Each year of education is associated with an average effect in CO2-equivalent (CO2e) emission of -466kg/yr.After controlling for household characteristics, the effect of a year of education is -163.1kg per year. Educated households spend less on home energy and transportation by car, two of the most important sources of household level atmospheric GHG production. They spend relatively more on investment goods, public transport, and other activities which have a low environmental footprint.

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  • Ethan Sharygin, 2013. "The Carbon Cost of an Educated Future: A Consumer Lifestyle Approach," VID Working Papers 1304, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    • Handle: RePEc:vid:wpaper:1304
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    1. Dalton, Michael & O'Neill, Brian & Prskawetz, Alexia & Jiang, Leiwen & Pitkin, John, 2008. "Population aging and future carbon emissions in the United States," Energy Economics, Elsevier, vol. 30(2), pages 642-675, March.
    2. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    3. Lenzen, Manfred, 1998. "Primary energy and greenhouse gases embodied in Australian final consumption: an input-output analysis," Energy Policy, Elsevier, vol. 26(6), pages 495-506, May.
    4. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    5. Glen Peters & Robbie Andrew & James Lennox, 2011. "Constructing An Environmentally-Extended Multi-Regional Input-Output Table Using The Gtap Database," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 131-152.
    6. Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
    7. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    8. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    9. Emilio Zagheni, 2011. "The Leverage of Demographic Dynamics on Carbon Dioxide Emissions: Does Age Structure Matter?," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 371-399, February.
    10. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    11. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    12. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    13. Weber, Christopher L. & Matthews, H. Scott, 2008. "Quantifying the global and distributional aspects of American household carbon footprint," Ecological Economics, Elsevier, vol. 66(2-3), pages 379-391, June.
    14. Shammin, Md. R. & Herendeen, Robert A. & Hanson, Michelle J. & Wilson, Eric J.H., 2010. "A multivariate analysis of the energy intensity of sprawl versus compact living in the U.S. for 2003," Ecological Economics, Elsevier, vol. 69(12), pages 2363-2373, October.
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    1. Chankrajang, Thanyaporn & Muttarak, Raya, 2017. "Green Returns to Education: Does Schooling Contribute to Pro-Environmental Behaviours? Evidence from Thailand," Ecological Economics, Elsevier, vol. 131(C), pages 434-448.
    2. Erich Striessnig & Wolfgang Lutz, 2014. "How does education change the relationship between fertility and age-dependency under environmental constraints? A long-term simulation exercise," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(16), pages 465-492.
    3. Wolfgang Lutz & Erich Striessnig, 2015. "Demographic aspects of climate change mitigation and adaptation," Population Studies, Taylor & Francis Journals, vol. 69(sup1), pages 69-76, April.

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    Keywords

    Human capital; environmental impact; household emissions.;
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