Unequal household carbon footprints in China

By Dominik Wiedenhofer, D. Guan, Zhu Liu, Jing Meng, Ning Zhang, Yi-Ming Wei. 2017

483 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/57cca90e34baa74366c7943d37145b1b5d8de3cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Richard Wood
2. Jing Meng
3. D. Ivanova
4. S. Giljum
5. Arnold Tukker
6. Klaus Hubacek
7. J. Barrett
8. A. de Koning

In Environmental Engineering

1. Richard Wood
2. S. Giljum
3. Arnold Tukker
4. Jing Meng
5. J. Barrett
6. Klaus Hubacek
7. D. Ivanova
8. Manfred Lenzen

In Renewable Energy, Sustainability and the Environment

1. Klaus Hubacek
2. Richard Wood
3. S. Giljum
4. Jing Meng
5. D. Ivanova
6. Felix Creutzig
7. J. Barrett
8. Dominik Wiedenhofer

Citations in the corpus

• Global patterns of ecologically unequal exchange: Implications for sustainability in the 21st century (2021, background): “And these phenomena of intra-country inequality and distribution (Wiedenhofer et al., 2017) cannot be grasped by a country-level analysis.”
• Trade-offs between social and environmental Sustainable Development Goals (2018, methodology): “Like in previous studies where Gini indices have already been applied to environmental inequality, especially carbon footprints (Steinberger et al., 2010; Teixidó-Figueras et al., 2016; Teng et al., 2011; Wiedenhofer et al., 2017), we follow Teng and colleagues (Teng et al.”
• Identifying primary energy requirements in structural path analysis: A case study of China 2012 (2017, background): “Wiedenhofer et al.[73] also showed the unequally carbon footprints among 12 the rich and poor due to differences in the scale and patterns of consumption.”
• Challenges for Social-Ecological Transformations: Contributions from Social and Political Ecology (2017, background): “Several concepts exist to analyse such large scale and long term perspectives, e.g., unequal ecological exchange between countries [69], and the unequal carbon footprint of households within China [71].”
• Quantifying the potential for climate change mitigation of consumption options (2020, background): “Income is a major driver of household carbon footprints [5, 7, 8, 23, 24], directly affecting purchasing power of households.”
• The unequal distribution of household carbon footprints in Europe and its link to sustainability (2020, background): “, 2015), with existing studies focusing on a single country or region (Büchs & Schnepf, 2013; Gill & Moeller, 2018; Girod & De Haan, 2010) or aggregated units of analysis such as income groups (Steen-Olsen et al., 2016; Wiedenhofer et al., 2016), regions and countries (Dubois et al.”