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Whether Digital Villages Can Alleviate Towns–Rural Clean Energy Consumption Inequality in China?

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  • Xin Wen

    (Sichuan Key Laboratory of Energy Security and Low-Carbon Development, Chengdu 610500, China
    School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Jiaxin Wen

    (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China)

  • Zhibo Yu

    (Southwest Oil and Gas Field Company Natural Gas Economic Research Institute, Chengdu 610051, China)

Abstract

The equitable allocation of clean energy access across towns–rural divides is a critical benchmark of modernization in developing economies. This is because it is intricately linked to the realization of strategic goals such as shared prosperity, ecological civilization advancement, and national energy security reinforcement. This research examines the impact of China’s digital village (DV) construction in reducing the urban–rural disparity in household clean energy access, evaluates the effect on towns–rural clean energy consumption inequality (CEI), explores the mediating mechanisms, and considers regional heterogeneity. It is an innovative approach to test the influence of digital village construction on clean energy consumption inequality between urban and rural areas, beyond which conventional research is limited to infrastructure investment and policy considerations. We can reach the following three results: (1) With the continuous improvement of digital village construction, CEI between towns and rural areas shows an “inverted U-shaped” change. (2) From the perspective of the intermediary mechanism, agricultural technological progress (ATP) and industrial structure upgrading (IND) can facilitate digital village construction and reduce the disparity in clean energy consumption between towns and rural regions. (3) From the perspective of heterogeneity analysis, digital village construction in areas with low urbanization levels, high terrain undulation, and non-clean energy demonstration provinces can significantly alleviate CEI. It is on this basis that the present paper proposes a policy recommendation for the Chinese government to effectively reduce the gap between towns and rural clean energy consumption in the process of digital village construction.

Suggested Citation

  • Xin Wen & Jiaxin Wen & Zhibo Yu, 2025. "Whether Digital Villages Can Alleviate Towns–Rural Clean Energy Consumption Inequality in China?," Sustainability, MDPI, vol. 17(14), pages 1-29, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6599-:d:1705331
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    References listed on IDEAS

    as
    1. Zhong, Honglin & Zhang, Xinyu & Shao, Xuan & Xiao, Jingyi & Tian, Peipei, 2024. "Dissecting household carbon and energy inequality: A decade's insight into regional disparities and urban-rural dynamics in China," Energy Policy, Elsevier, vol. 192(C).
    2. Yan, Hong & Yi, Xing & Jiang, Jiachen & Bai, Caiquan, 2024. "Can information technology construction alleviate household energy poverty? Empirical evidence from the “broadband China” Pilot Policy," Energy Policy, Elsevier, vol. 185(C).
    3. Qin, Jiangnan & Li, Wenjing & Zhang, Junbiao, 2024. "How can energy poverty affect farmers’ health? Evidence from mountainous areas in China," Energy, Elsevier, vol. 290(C).
    4. Tian, Yihui & Ou, Lingjun & Guo, Jingwei & Chen, Zhen-Song & Chen, Zhaoxi, 2025. "A configuration of green and low-carbon strategy in clean energy economy: A perspective of supply chain management," Energy, Elsevier, vol. 322(C).
    5. Zhang, Yanmei & Gong, Junxi & Liu, Xin, 2025. "Assessing the effects of digitalization on the amenity of clean energy supply chains: Policy insights from OECD countries," Energy Economics, Elsevier, vol. 143(C).
    6. Su, Xiang & Tan, Junlan, 2023. "Regional energy transition path and the role of government support and resource endowment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    7. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    8. Nie, Shiqi & Cao, Xiaojing & Li, Zilong & Liu, Mingxin & Zhang, Yiren, 2025. "Supply chain digitization in the net-zero era: The impact of digital technology, renewable energy, and infrastructure," Energy Economics, Elsevier, vol. 144(C).
    9. Zhu, Lin & Sheng, Yu & Liao, Hua & Blaschke, Maximilian J., 2025. "Enhancing clean cooking energy transition through living facility improvements: Experience from China," Energy Economics, Elsevier, vol. 144(C).
    10. Hu, Jiangfeng & Xie, Wancheng & Liu, Min, 2025. "How does digital village alleviate rural household energy poverty?," Energy, Elsevier, vol. 318(C).
    11. Zhang, Shaohua & Sang, Xiance & Yang, Wei & Luo, Xiaofeng, 2025. "Empowering household energy transition: The impact of digital economy on clean energy use in rural China," Energy, Elsevier, vol. 324(C).
    12. Choi, Jihwan & Eom, Dongguen & Park, Byunghwa & Song, Junseok & Kook, Myungchul & Park, Sangwook, 2025. "Clean energy supply and demand strategies of Jeju Island to achieve carbon net-zero by using digital twin technology," Energy, Elsevier, vol. 314(C).
    13. Liu, Hongman & Li, Xixi, 2025. "How digital technology can improve new quality productive forces? ——Perspective of total factor agricultural carbon productivity," Journal of Asian Economics, Elsevier, vol. 98(C).
    14. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    15. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023. "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, vol. 270(C).
    16. Alola, Andrew Adewale, 2024. "Global urbanization and ruralization lessons of clean energy access gap," Energy Policy, Elsevier, vol. 188(C).
    17. Chen, Wei & Li, Jiawei, 2025. "Digital finance, rural E-commerce development and consumption upgrading," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    18. Dou, Yue & Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "Quantifying the impacts of energy inequality on carbon emissions in China: A household-level analysis," Energy Economics, Elsevier, vol. 102(C).
    19. Liu, Gengyuan & Du, Shupan & Gao, Yuan & Xiong, Xiaoping & Lombardi, Ginevra Virginia & Meng, Fanxin & Chen, Yu & Chen, Caocao, 2024. "A study on energy-water-food-carbon nexus in typical Chinese northern rural households," Energy Policy, Elsevier, vol. 188(C).
    20. Mamidi, Varsha & Marisetty, Vijaya B. & Thomas, Ewan Nikhil, 2021. "Clean energy transition and intertemporal socio-economic development: Evidence from an emerging market," Energy Economics, Elsevier, vol. 101(C).
    21. Shahzad, Khurram & Raza, Hassan Ali & Shahbaz, Muhammad, 2024. "Environmental regulations’ impact on clean energy consumption: Under the assistance of governance measures," Renewable Energy, Elsevier, vol. 237(PC).
    22. Wang, Haijie & Yan, Tong & Huang, Rongbing & Gao, Junsong, 2025. "Alleviating the rural household energy poverty in China: The role of digital economy," Energy Economics, Elsevier, vol. 142(C).
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