2016
DOI: 10.1038/nclimate3165
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Unequal household carbon footprints in China

Abstract: Households’ carbon footprints are unequally distributed among the rich and poor due to differences in the scale and patterns of consumption. We present distributional focused carbon footprints for Chinese households and use a carbon-footprint-Gini coefficient to quantify inequalities. We find that in 2012 the urban very rich, comprising 5% of population, induced 19% of the total carbon footprint from household consumption in China, with 6.4 tCO2/cap. The average Chinese household footprint remains comparativel… Show more

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Cited by 410 publications
(222 citation statements)
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References 61 publications
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“…PHCEs in our study and other studies are compared in Table 3. PHCEs in Beijing, Tianjin, Shanghai, and Chongqing were larger than the national average household footprint shown by Wiedenhofer et al [65], Fan et al [66], and Qu et al [67], but much smaller than the U.S. [68] and European countries [18,69,70]. Compared to the results of Tian et al [71] and Fry et al [72], Beijing's total PHCEs in our results were 31.56% and 29.02% smaller, respectively, due to different research methods and data sources.…”
Section: Urban and Rural Total Hces And Phcesmentioning
confidence: 94%
“…PHCEs in our study and other studies are compared in Table 3. PHCEs in Beijing, Tianjin, Shanghai, and Chongqing were larger than the national average household footprint shown by Wiedenhofer et al [65], Fan et al [66], and Qu et al [67], but much smaller than the U.S. [68] and European countries [18,69,70]. Compared to the results of Tian et al [71] and Fry et al [72], Beijing's total PHCEs in our results were 31.56% and 29.02% smaller, respectively, due to different research methods and data sources.…”
Section: Urban and Rural Total Hces And Phcesmentioning
confidence: 94%
“…However, globally, absolute decoupling of income from consumption-based (Schandl et al, 2015), and historical estimates have tended to underappreciate the potential for economic growth to lead to rising e rather than falling -emissions intensities (Pretis and Roser, 2016). Further, continued urbanisation in China could raise emissions even without economic growth due to rural populations having a lower emissions footprint (Wiedenhofer et al, 2017). Secondly, rising incomes and rapid urbanisation, especially in developing urban areas, may lead to a gradual concentration of production-based emissions in specific places, potentially reducing the efficacy of production-based mitigation strategies.…”
Section: Implications For Urban Climate Actionmentioning
confidence: 99%
“…In future research, land use data with a high resolution should be obtained to study the economic efficiency of different land use types, the proportion of different land use types and the relationships between human activity and land use in different sectors. Moreover, the inequalities within the urban population have recently drawn considerable attention in urban sustainable development research [60,61]. Further research on urban metabolism is necessary to reveal the inequalities among different income groups.…”
Section: Policy Implications For Sustainability Developmentmentioning
confidence: 99%