Towards Consumption-Based Carbon Inequality Metrics: Socioeconomic and Demographic Insights from Chinese Households

Mo Li (), Thomas Wiedmann and Tianfang Shen
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Mo Li: School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, P.R. China
Thomas Wiedmann: Sustainability Assessment Program, School of Civil and Environmental Engineering, UNSW Sydney, Sydney, NSW 2052, Australia
Tianfang Shen: School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, P.R. China

Sustainability, 2025, vol. 17, issue 11, 1-20

Abstract: The choice of carbon inequality metrics can significantly influence demand-side mitigation policies and their equity outcomes. We propose integrated carbon inequality metrics, including juxtaposing carbon inequality with economic inequality, disparity ratios across income and age groups, and structural income–urbanization inequality patterns. We then apply these new metrics and use the household expenditure survey data from China Family Panel Studies as a case study to examine household consumption-based carbon emissions in China. We assess the extent to which household consumption patterns, household expenditure, age, and urbanization contribute to the gap in per-capita household carbon footprints (CF) across income groups. We find that in relative terms, the top 20% income group accounts for 38% of total emissions, whereas the bottom 20% emit about 8% in China. Per-capita CFs vary slightly widely in their inequality than expenditure. The CF disparity ratios of all eight consumption categories across provinces concentrate around 4.5. CF disparity ratios of households with elderly members range from 1 to 3 and decrease with increasing household size. Rural CF-Gini exhibit a slightly wider range (0.15 to 0.52) than urban CF-Gini (0.16 to 0.42). Per capita CF of urban inhabitants was substantially larger than that of the rural ones, with 8.83 tCO 2 per capita in urban regions vs. 2.68 tCO 2 in rural regions. This study provides a nuanced understanding of within-country disparities to inform equitable demand-side mitigation solutions.

Keywords: carbon inequality indicator; demand-side mitigation; household consumption; environmental inequality; carbon footprint (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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