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Energy Transition and Household Carbon Emissions in China

Author

Listed:
  • Su Yan
  • Lu Jin
  • Wang Tianhui

Abstract

This paper uses CFPS 2014, 2016, and 2018 micro‐survey data to measure the level of household carbon emissions and utilizes Chinese city data to construct a composite index to measure the development level of energy transition and then empirically examines the impact of city energy transition on household carbon emissions through macro–micro data matching. It is found that the higher the index level of energy transition, the more obvious the inhibitory effect on household carbon emissions. Subsequently, the robustness test and the estimation results considering the endogeneity problem are not significantly different from the baseline regression findings. The mechanism analysis suggests that energy transition will have an indirect effect on household carbon emissions through green technology innovation, environmental regulation and the adjustment of consumer lifestyles. The heterogeneity study found that the impacts of energy transition on different household age structures, housing sizes, geographic locations and energy structures show significant differences. This paper has important policy implications for accelerating city energy transition, promoting energy structure transformation, and guiding household decarbonization.

Suggested Citation

  • Su Yan & Lu Jin & Wang Tianhui, 2025. "Energy Transition and Household Carbon Emissions in China," Australian Economic Papers, Wiley Blackwell, vol. 64(3), pages 356-367, September.
  • Handle: RePEc:bla:ausecp:v:64:y:2025:i:3:p:356-367
    DOI: 10.1111/1467-8454.12401
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    1. Wang, Zhaohua & Yang, Zhongmin & Zhang, Yixiang & Yin, Jianhua, 2012. "Energy technology patents–CO2 emissions nexus: An empirical analysis from China," Energy Policy, Elsevier, vol. 42(C), pages 248-260.
    2. 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.
    3. Wang, Jing & Munankarmi, Prateek & Maguire, Jeff & Shi, Chengnan & Zuo, Wangda & Roberts, David & Jin, Xin, 2022. "Carbon emission responsive building control: A case study with an all-electric residential community in a cold climate," Applied Energy, Elsevier, vol. 314(C).
    4. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    5. Sinn, Hans-Werner, 2012. "The Green Paradox: A Supply-Side Approach to Global Warming," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262016680, December.
    6. 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.
    7. Paramati, Sudharshan Reddy & Mo, Di & Huang, Ruixian, 2021. "The role of financial deepening and green technology on carbon emissions: Evidence from major OECD economies," Finance Research Letters, Elsevier, vol. 41(C).
    8. Wang, Shaojian & Shi, Chenyi & Fang, Chuanglin & Feng, Kuishuang, 2019. "Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model," Applied Energy, Elsevier, vol. 235(C), pages 95-105.
    9. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Yoon, Seong-Min & Kang, Sang Hoon, 2019. "FDI, income, and environmental pollution in Latin America: Replication and extension using panel quantiles regression analysis," Energy Economics, Elsevier, vol. 84(C).
    10. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    11. Wang, Qiao & Yi, Hongtao, 2021. "New energy demonstration program and China's urban green economic growth: Do regional characteristics make a difference?," Energy Policy, Elsevier, vol. 151(C).
    12. Habiba, Umme & Xinbang, Cao & Anwar, Ahsan, 2022. "Do green technology innovations, financial development, and renewable energy use help to curb carbon emissions?," Renewable Energy, Elsevier, vol. 193(C), pages 1082-1093.
    13. Adaman, Fikret & KaralI, Nihan & Kumbaroglu, Gürkan & Or, Ilhan & Özkaynak, Begüm & Zenginobuz, Ünal, 2011. "What determines urban households' willingness to pay for CO2 emission reductions in Turkey: A contingent valuation survey," Energy Policy, Elsevier, vol. 39(2), pages 689-698, February.
    14. Yong Wang & Guangchun Yang & Ying Dong & Yu Cheng & Peipei Shang, 2018. "The Scale, Structure and Influencing Factors of Total Carbon Emissions from Households in 30 Provinces of China—Based on the Extended STIRPAT Model," Energies, MDPI, vol. 11(5), pages 1-25, May.
    15. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    16. Pachauri, Shonali & Spreng, Daniel, 2002. "Direct and indirect energy requirements of households in India," Energy Policy, Elsevier, vol. 30(6), pages 511-523, May.
    17. 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.
    18. Jeffrey Wilson & Peter Tyedmers & Jamie E. L. Spinney, 2013. "An Exploration of the Relationship between Socioeconomic and Well‐Being Variables and Household Greenhouse Gas Emissions," Journal of Industrial Ecology, Yale University, vol. 17(6), pages 880-891, December.
    19. Luis Antonio López & Guadalupe Arce & Manuel Morenate & Fabio Monsalve, 2016. "Assessing the Inequality of Spanish Households through the Carbon Footprint: The 21st Century Great Recession Effect," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 571-581, June.
    20. Wang, Yuan & Li, Li & Kubota, Jumpei & Han, Rong & Zhu, Xiaodong & Lu, Genfa, 2016. "Does urbanization lead to more carbon emission? Evidence from a panel of BRICS countries," Applied Energy, Elsevier, vol. 168(C), pages 375-380.
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