IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v165y2022ics0301421522002154.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421522002154
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2022.112990?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qinghua Li & Cong Chen, 2023. "Analyzing the Differences in the Quantitative and Spatial Characteristics of Inter-Provincial Embodied Carbon Transfers in China Induced via Various Demand Factors," Energies, MDPI, vol. 16(23), pages 1-29, November.
    2. An, Na & Huang, Chenyu & Shen, Yanting & Wang, Jinyu & Yu, Zhongqi & Fu, Jiayan & Liu, Xiao & Yao, Jiawei, 2024. "Efficient data-driven prediction of household carbon footprint in China with limited features," Energy Policy, Elsevier, vol. 185(C).
    3. Xu, Yue & Wang, Qingsong & Tian, Shu & Liu, Mengyue & Zhang, Yujie & Yuan, Xueliang & Ma, Qiao & Liu, Chengqing, 2024. "How to promote CO2 reduction in urban households from a micro perspective?," Energy, Elsevier, vol. 293(C).
    4. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    5. Zhao, Mengxue & Yuan, Zhihang & Chan, Hon S., 2023. "Housing wealth and household carbon emissions: The role of homeownership in China," Ecological Economics, Elsevier, vol. 212(C).
    6. Zhang, Junjie & Yu, Shiwei & Xiong, Xingyi & Hu, Xing, 2024. "Impacts of ICT penetration shaping nonworking time use on indirect carbon emissions: Evidence from Chinese households," Energy Economics, Elsevier, vol. 129(C).
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    2. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, vol. 11(5), pages 1-17, May.
    3. Yuling Sun & Junsong Jia & Min Ju & Chundi Chen, 2022. "Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically We," Land, MDPI, vol. 11(7), pages 1-26, July.
    4. Golley, Jane & Meng, Xin, 2012. "Income inequality and carbon dioxide emissions: The case of Chinese urban households," Energy Economics, Elsevier, vol. 34(6), pages 1864-1872.
    5. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    6. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    7. Tao Lin & Yunjun Yu & Xuemei Bai & Ling Feng & Jin Wang, 2013. "Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
    8. Lina Liu & Jiansheng Qu & Afton Clarke-Sather & Tek Narayan Maraseni & Jiaxing Pang, 2017. "Spatial Variations and Determinants of Per Capita Household CO 2 Emissions (PHCEs) in China," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    9. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    10. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    11. Qu, Jiansheng & Zeng, Jingjing & Li, Yan & Wang, Qin & Maraseni, Tek & Zhang, Lihua & Zhang, Zhiqiang & Clarke-Sather, Abigail, 2013. "Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China," Energy Policy, Elsevier, vol. 57(C), pages 133-140.
    12. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    13. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    14. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    15. Jiansheng Qu & Lina Liu & Jingjing Zeng & Tek Narayan Maraseni & Zhiqiang Zhang, 2022. "City-Level Determinants of Household CO 2 Emissions per Person: An Empirical Study Based on a Large Survey in China," Land, MDPI, vol. 11(6), pages 1-14, June.
    16. Jichao Geng & Na Yang & Wei Zhang & Li Yang, 2023. "Public Willingness to Pay for Green Lifestyle in China: A Contingent Valuation Method Based on Integrated Model," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    17. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
    18. Moises Neil V. Seriño & Stephan Klasen, 2015. "Estimation and Determinants of the Philippines' Household Carbon Footprint," The Developing Economies, Institute of Developing Economies, vol. 53(1), pages 44-62, March.
    19. Lan-Cui Liu & Gang Wu & Jin-Nan Wang & Yi-Ming Wei, 2010. "China's carbon emissions from urban and rural households during 1992-2007," CEEP-BIT Working Papers 12, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    20. Liquan Xu & Yong Geng & Dong Wu & Chenyi Zhang & Shijiang Xiao, 2021. "Carbon Footprint of Residents’ Housing Consumption and Its Driving Forces in China," Energies, MDPI, vol. 14(13), pages 1-16, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:165:y:2022:i:c:s0301421522002154. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.