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Driving factors of carbon emissions from household energy combustion in China

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  • Sun, Xinlu
  • Mi, Zhifu
  • Zhang, Jin
  • Li, Jinkai

Abstract

Reducing carbon emissions resulting from household direct energy combustion while ensuring equal access to energy is essential for fair transition towards carbon neutrality. In this regard, understanding the driving factors of household direct carbon emissions and projecting future emission pathways are necessary for effective policy implementation. In this study, we applied the logarithmic mean Divisia index model to investigate changes in household direct carbon emissions from 2000 to 2021, and established six scenarios to assess the impacts of energy efficiency improvement and energy transition on carbon reduction. The results showed that the growing household expenditure continuously drives the increase in direct carbon emissions, while the decline in the energy demand per unit household expenditure and energy transition drives the decrease in carbon emissions. Replacing direct energy combustion with electricity is vital to reduce household direct emissions. This study highlights the importance of improving the energy efficiency and promoting the electrification of household energy consumption. Policy interventions should be implemented to facilitate behavioural changes, technology development, and low-carbon infrastructure construction.

Suggested Citation

  • Sun, Xinlu & Mi, Zhifu & Zhang, Jin & Li, Jinkai, 2024. "Driving factors of carbon emissions from household energy combustion in China," Energy Policy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:enepol:v:186:y:2024:i:c:s0301421524000338
    DOI: 10.1016/j.enpol.2024.114013
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    References listed on IDEAS

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    1. Ding, Yang & Li, Feng, 2017. "Examining the effects of urbanization and industrialization on carbon dioxide emission: Evidence from China's provincial regions," Energy, Elsevier, vol. 125(C), pages 533-542.
    2. Hammerle, Mara & Burke, Paul J., 2022. "From natural gas to electric appliances: Energy use and emissions implications in Australian homes," Energy Economics, Elsevier, vol. 110(C).
    3. Helena Meier, Tooraj Jamasb, and Luis Orea, 2013. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    4. 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.
    5. Thomas Wiedmann & Manfred Lenzen & Lorenz T. Keyßer & Julia K. Steinberger, 2020. "Scientists’ warning on affluence," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    6. Peng, Liqun & Zhang, Qiang & Yao, Zhiliang & Mauzerall, Denise L. & Kang, Sicong & Du, Zhenyu & Zheng, Yixuan & Xue, Tao & He, Kebin, 2019. "Underreported coal in statistics: A survey-based solid fuel consumption and emission inventory for the rural residential sector in China," Applied Energy, Elsevier, vol. 235(C), pages 1169-1182.
    7. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    8. Zou, Baoling & Luo, Biliang, 2019. "Rural household energy consumption characteristics and determinants in China," Energy, Elsevier, vol. 182(C), pages 814-823.
    Full references (including those not matched with items on IDEAS)

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