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Does digital finance affect energy consumption structure upgrading? Evidence from Chinese rural households

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  • Hu, Debao
  • Lei, Yutian
  • Zhai, Chenzhe
  • Liu, Jiaxin

Abstract

As carbon neutrality debates escalate, household energy use has gained prominence of scholars. However, existing studies overly focus on consumption expenditure while sidelining the impact of digital finance. This research utilized Chinese household microdata to explore the nexus between digital finance and household energy structure. The empirical results confirm its facilitative effect. The mechanisms of action include infrastructure construction, increased household environmental literacy, improved payment environments, and enhanced risk hedging ability. Regional and policy heterogeneities exist, and the energy structure upgrading aligns with the energy stacking theory. The findings thus shed light on digital finance's role in promoting sustainable household energy transitions.

Suggested Citation

  • Hu, Debao & Lei, Yutian & Zhai, Chenzhe & Liu, Jiaxin, 2025. "Does digital finance affect energy consumption structure upgrading? Evidence from Chinese rural households," China Economic Review, Elsevier, vol. 94(PA).
    • Handle: RePEc:eee:chieco:v:94:y:2025:i:pa:s1043951x25001737
    DOI: 10.1016/j.chieco.2025.102515
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    References listed on IDEAS

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    1. Ruutu, Sampsa & Casey, Thomas & Kotovirta, Ville, 2017. "Development and competition of digital service platforms: A system dynamics approach," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 119-130.
    2. Han, Hongyun & Wu, Shu, 2018. "Rural residential energy transition and energy consumption intensity in China," Energy Economics, Elsevier, vol. 74(C), pages 523-534.
    3. Zheng, Huanyu & Li, Dian & Cai, Jinyang, 2025. "Driving green innovation: The impact of digital finance on China's transition to clean energy," Energy, Elsevier, vol. 318(C).
    4. Ai, Xian-Neng & Du, Yun-Fei & Li, Wei-Ming & Li, Hui & Liao, Hua, 2021. "The pattern of household energy transition," Energy, Elsevier, vol. 234(C).
    5. Marianne Bertrand & Sendhil Mullainathan, 2003. "Enjoying the Quiet Life? Corporate Governance and Managerial Preferences," Journal of Political Economy, University of Chicago Press, vol. 111(5), pages 1043-1075, October.
    6. Vikrant Vig, 2013. "Access to Collateral and Corporate Debt Structure: Evidence from a Natural Experiment," Journal of Finance, American Finance Association, vol. 68(3), pages 881-928, June.
    7. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    8. Jia, Jun-Jun & Zhu, Mengshu & Wei, Chu, 2022. "Household cooking in the context of carbon neutrality: A machine-learning-based review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    9. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    10. Choumert-Nkolo, Johanna & Combes Motel, Pascale & Le Roux, Leonard, 2019. "Stacking up the ladder: A panel data analysis of Tanzanian household energy choices," World Development, Elsevier, vol. 115(C), pages 222-235.
    11. Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
    12. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    13. Luan, Bingjiang & Zou, Hong & Huang, Junbing, 2023. "Digital divide and household energy poverty in China," Energy Economics, Elsevier, vol. 119(C).
    14. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    15. Dong, Kangyin & Jiang, Qingzhe & Shahbaz, Muhammad & Zhao, Jun, 2021. "Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China," Energy Economics, Elsevier, vol. 99(C).
    16. Fentie, Amare & Hassen, Sied & Sebsibie, Samuel, 2023. "Climbing up the ladder: Households' fuel choice transition for lighting in Ethiopia," Energy Economics, Elsevier, vol. 128(C).
    17. Alem, Yonas & Beyene, Abebe D. & Köhlin, Gunnar & Mekonnen, Alemu, 2016. "Modeling household cooking fuel choice: A panel multinomial logit approach," Energy Economics, Elsevier, vol. 59(C), pages 129-137.
    18. Qin, Xiaodi & Wu, Haitao & Li, Rongrong, 2022. "Digital finance and household carbon emissions in China," China Economic Review, Elsevier, vol. 76(C).
    19. Shamsher Singh & Ravish Rana, 2017. "Study of Consumer Perception of Digital Payment Mode," Journal of Internet Banking and Commerce, Nahum Goldmann, vol. 22(03), pages 01-14.
    20. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    21. PU, Zhengning & FEI, Jinhua, 2022. "The impact of digital finance on residential carbon emissions: Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 515-527.
    22. Hu, Debao & Guo, Fang & Shang, Jianing & Zhang, Xinyue, 2024. "Does digital finance increase household risk-taking? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1197-1210.
    23. William Ocasio & Tomi Laamanen & Eero Vaara, 2018. "Communication and Attention Dynamics : an Attention-Based View of Strategic Change," Post-Print hal-02312047, HAL.
    24. Li, Minyang & Du, Anna Min & Wang, Siquan & Lin, Boqiang, 2025. "Better financing: Signal match between growth in the digital economy and renewable energy business," Research in International Business and Finance, Elsevier, vol. 77(PA).
    25. Liu, Xiaoqian & Cifuentes-Faura, Javier & Zhao, Shikuan & Wang, Long, 2023. "Government environmental attention and carbon emissions governance: Firm-level evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 121-142.
    26. William Ocasio & Tomi Laamanen & Eero Vaara, 2018. "Communication and attention dynamics: An attention‐based view of strategic change," Strategic Management Journal, Wiley Blackwell, vol. 39(1), pages 155-167, January.
    27. Jiayu Wan & Zhengning Pu & Christophe Tavera, 2022. "The impact of digital finance on pollutants emission: evidence from chinese cities," Post-Print hal-03554233, HAL.
    28. Hu, Debao & Zhai, Chenzhe & Zhao, Sibo, 2023. "Does digital finance promote household consumption upgrading? An analysis based on data from the China family panel studies," Economic Modelling, Elsevier, vol. 125(C).
    29. Zhao, Congyu & Luo, Ximing & Dong, Cong & Dong, Xiucheng, 2025. "Smart city policy and export technology sophistication: Investigating linkages and potential pathways," China Economic Review, Elsevier, vol. 89(C).
    30. Wang, Yao & Wu, Xuenan & Lin, Boqiang, 2025. "Empowering green households: How does digital finance influence household carbon footprints?," Research in International Business and Finance, Elsevier, vol. 76(C).
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