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Social groups and CO2 emissions in Spanish households

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  • Duarte, Rosa
  • Mainar, Alfredo
  • Sánchez-Chóliz, Julio

Abstract

This paper examines the social factors that underlie the composition of final demand and, therefore, determine the final volume of emissions. The study throws light on the relationships between the parameters characterising Spanish households (income, urban/rural residence, local population density, head of household's level of education and social class) and their behaviour with regard to consumption and the demand for goods and services. On this basis, we determine which consumption patterns are best aligned with sustainable growth and development. Our main conclusion is that the factors analysed determine the volume of emissions for each household in terms of their correlation with income, which is the primary determinant of consumption patterns. The methodology proposed combines linear SAM models and econometric estimation of emissions elasticity with respect to spending.

Suggested Citation

  • Duarte, Rosa & Mainar, Alfredo & Sánchez-Chóliz, Julio, 2012. "Social groups and CO2 emissions in Spanish households," Energy Policy, Elsevier, vol. 44(C), pages 441-450.
  • Handle: RePEc:eee:enepol:v:44:y:2012:i:c:p:441-450
    DOI: 10.1016/j.enpol.2012.02.020
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    9. Rosa Duarte & Alfredo J. Mainar-Causapé & Julio Sánchez Chóliz, 2017. "Domestic GHG emissions and the responsibility of households in Spain: looking for regional differences," Applied Economics, Taylor & Francis Journals, vol. 49(53), pages 5397-5411, November.
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    14. Alfredo J. Mainar Causape & Emanuele Ferrari & Scott McDonald, 2018. "Social accounting matrices: basic aspects and main steps for estimation," JRC Research Reports JRC112075, Joint Research Centre.
    15. Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 353-379, November.
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    Keywords

    Consumption patterns; Linear SAM model; CO2 emissions;
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