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Inequality of household carbon emissions and its influencing factors: Case study of urban China

  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

When looking at emission reduction at the consumption side, the differentiation of energy consumers should be taken into account, since ignoring individual difference would easily result in social inequality and decrease of social welfare. Based on the framework of social practice model, this article estimated the quantitative distribution characteristics of urban household carbon emissions from different cities, and analyzed the influencing factors of household daily energy consumption and carbon emissions. The main results indicate that urban household carbon emission is close to 60/40 or 70/40 distribution, the economic features of different regions may contribute to such unequal distribution to a large extent. Space heating (in the north area) was found to be the largest CO2 emission source among various daily energy use practices in the Northern cities. In general, it was found that household carbon emissions tend to increase with rising levels of income and ownerships of assets like car or house in particular; besides, individual cognition and household lifestyle would partly affect their energy selection and daily consumption behavior.

Original languageEnglish
Pages (from-to)61-71
Number of pages11
JournalHabitat International
Volume70
DOIs
Publication statusPublished - Dec 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Energy use practice
  • Household carbon emission
  • Influencing factor
  • Lifestyle
  • Lorentz curve
  • Quantitative distribution

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