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Uncovering the differences of household carbon footprints and driving forces between China and Japan

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  • Yu, Feng
  • Dong, Huijuan
  • Geng, Yong
  • Fang, Alex S.
  • Li, Haifeng

Abstract

Household carbon footprint is closely related with economic development level. Thus, to reveal the characteristic of household carbon footprint and its driving forces for countries under different development stage, this paper compared household carbon footprint and driving forces of developing China and developed Japan using input-output method and structural decomposition analysis method. Results show that China's household carbon footprint increased rapidly from 939 megatons (Mt) in 1997–3363 Mt in 2015, and then gradually decreased, while Japan's household carbon footprint fluctuated between 700–1000 Mt. In terms of per capita indirect household carbon footprint, it increased fast in China, but was still only less than 1/4 of that in Japan in 2018. Another finding is that food carbon footprint will decrease, while housing carbon footprint will increase with economic development. Transportation & communication can be a potential source for reducing such carbon footprints. In terms of driving forces of household carbon footprint, consumption expenditure was the major positive driving force and technology was a major negative driving force in China, while Japan was mainly driven by technology. It is suggested to pay attention to control the per capita household carbon footprint of fast developing countries, particularly transportation & communication consumption.

Suggested Citation

  • Yu, Feng & Dong, Huijuan & Geng, Yong & Fang, Alex S. & Li, Haifeng, 2022. "Uncovering the differences of household carbon footprints and driving forces between China and Japan," Energy Policy, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:enepol:v:165:y:2022:i:c:s0301421522002154
    DOI: 10.1016/j.enpol.2022.112990
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    as
    1. Kennedy, Christopher & Steinberger, Julia & Gasson, Barrie & Hansen, Yvonne & Hillman, Timothy & Havránek, Miroslav & Pataki, Diane & Phdungsilp, Aumnad & Ramaswami, Anu & Mendez, Gara Villalba, 2010. "Methodology for inventorying greenhouse gas emissions from global cities," Energy Policy, Elsevier, vol. 38(9), pages 4828-4837, September.
    2. Skolka, Jiri, 1989. "Input-output structural decomposition analysis for Austria," Journal of Policy Modeling, Elsevier, vol. 11(1), pages 45-66.
    3. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    4. Dong, Huijuan & Geng, Yong & Xi, Fengming & Fujita, Tsuyoshi, 2013. "Carbon footprint evaluation at industrial park level: A hybrid life cycle assessment approach," Energy Policy, Elsevier, vol. 57(C), pages 298-307.
    5. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    6. Xiao-Wei Ma & Jia Du & Meng-Ying Zhang & Yi Ye, 2016. "Indirect carbon emissions from household consumption between China and the USA: based on an input–output model," 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 399-410, November.
    7. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    8. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    9. Markaki, M. & Belegri-Roboli, A. & Sarafidis, Υ. & Mirasgedis, S., 2017. "The carbon footprint of Greek households (1995–2012)," Energy Policy, Elsevier, vol. 100(C), pages 206-215.
    10. Lévay, Petra Zsuzsa & Vanhille, Josefine & Goedemé, Tim & Verbist, Gerlinde, 2021. "The association between the carbon footprint and the socio-economic characteristics of Belgian households," Ecological Economics, Elsevier, vol. 186(C).
    11. Stephen Casler & Adam Rose, 1998. "Carbon Dioxide Emissions in the U.S. Economy: A Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 349-363, April.
    12. Ala-Mantila, Sanna & Heinonen, Jukka & Junnila, Seppo, 2014. "Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures: A multivariate analysis," Ecological Economics, Elsevier, vol. 104(C), pages 129-139.
    13. Li, Xi & Ouyang, Zhigang & Zhang, Qiong & Shang, Wen-long & Huang, Liqiao & Wu, Yi & Gao, Yuning, 2022. "Evaluating food supply chain emissions from Japanese household consumption," Applied Energy, Elsevier, vol. 306(PB).
    14. Teoman PAMUKÇU & Paul BOER, 1999. "Technological Change and Industrialization: An Application of Structural Decomposition Analysis to the Turkish Economy (1968-1990)," Ekonomik Yaklasim, Ekonomik Yaklasim Association, vol. 10(32), pages 5-30.
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    7. Atsushi Watabe & Alice Marie Yamabe-Ledoux, 2023. "Low-Carbon Lifestyles beyond Decarbonisation: Toward a More Creative Use of the Carbon Footprinting Method," Sustainability, MDPI, vol. 15(5), pages 1-28, March.

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