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The impact of household digital transformation on household energy efficiency: Empirical evidence from Chinese households

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  • Suxu Lin
  • Lin He
  • Xin Lin
  • Weicheng Li

Abstract

Carbon emissions from household consumption are an important part of global energy consumption, and household digital transformation is vital for realizing green and low−carbon development. Using data from the 2019 China Household Finance Survey, this study empirically examines the effect of household digital transformation on household energy efficiency. The results show that household digital transformation significantly improves household energy efficiency across all quantiles. This effect varies by consumption type, with the most pronounced improvements in food, housing, and other consumption categories. The impact is stronger for households with elderly members. Per capita household income and education level serve as important mediating and moderating mechanisms, respectively. Unlike previous macro-level studies, this research provides micro-evidence on the impact of household digital transformation on energy efficiency, explores the underlying mechanisms through income and education effects, and examines heterogeneous impacts across different consumption types and household characteristics. These findings offer important policy implications for leveraging digital transformation to enhance household energy efficiency and promote sustainable development.

Suggested Citation

  • Suxu Lin & Lin He & Xin Lin & Weicheng Li, 2024. "The impact of household digital transformation on household energy efficiency: Empirical evidence from Chinese households," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-19, December.
    • Handle: RePEc:plo:pone00:0315372
    DOI: 10.1371/journal.pone.0315372
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    References listed on IDEAS

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    1. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    2. Luan, Bingjiang & Zou, Hong & Huang, Junbing, 2023. "Digital divide and household energy poverty in China," Energy Economics, Elsevier, vol. 119(C).
    3. Chen, G.Q. & Wu, X.D. & Guo, Jinlan & Meng, Jing & Li, Chaohui, 2019. "Global overview for energy use of the world economy: Household-consumption-based accounting based on the world input-output database (WIOD)," Energy Economics, Elsevier, vol. 81(C), pages 835-847.
    4. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    5. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    6. Xie, Lunyu & Yan, Haosheng & Zhang, Shuhan & Wei, Chu, 2020. "Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012," China Economic Review, Elsevier, vol. 59(C).
    7. Zhou, Jun & Yin, Zhichao & Yue, Pengpeng, 2023. "The impact of access to credit on energy efficiency," Finance Research Letters, Elsevier, vol. 51(C).
    8. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    9. 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).
    10. Liu, Zhihong & ul Islam, Misbah & Alarifi, Ghadah Abdulrahman & Cong, Phan The & Khudoykulov, Khurshid & Quynh, Le Nhu & Hossain, Md. Shamim, 2023. "Does energy efficiency mediate a green economic recovery? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 802-815.
    11. Wang, Shuo & Li, Chengyou & Wang, Zeru & Sun, Guanglin, 2023. "Digital skills and household financial asset allocation," Finance Research Letters, Elsevier, vol. 58(PC).
    12. Jun Zhou & Zhichao Yin & Pengpeng Yue, 2022. "The impact of access to credit on energy efficiency," Papers 2211.08871, arXiv.org.
    13. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    14. Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).
    15. Meng, Weilu & Yuan, Gecheng & Sun, Yongping, 2023. "Expansion of social networks and household carbon emissions: Evidence from household survey in China," Energy Policy, Elsevier, vol. 174(C).
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