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Study on the impact of digitalization on multidimensional energy poverty in Guangdong Province—Empirical test based on Alkire-Foster method

Author

Listed:
  • Guo, Qing
  • Li, Junyi
  • Guo, Tianyue
  • He, Yihan
  • He, Qianyu
  • Zhang, Zifan
  • Zhu, Min

Abstract

The alleviation of rural energy poverty is a primary concern for enhancing the quality and efficiency of rural development in China. Within this context, digitalization emerges as a potential avenue for tackling rural energy poverty. Given the status of Guangdong Province as a leading province in poverty alleviation in China, the article utilizes the Alkire-Foster method to quantify multidimensional energy poverty in rural areas of Guangdong province and employs a multiple linear regression model to examine the potential alleviating effect of digitization on multidimensional energy poverty in the region. Findings show that: (1) As marginal income increases, the elasticity of rural electricity consumption is positively correlated with long-distance cable density in low- and middle-income areas, but negatively correlated in high-income areas; (2) Digitalization significantly impacts energy supply and multidimensional energy poverty through energy efficiency, more so than social conditions; (3) The impact of digitization on rural resource poverty in Guangdong is greater in areas with high levels of science and education.

Suggested Citation

  • Guo, Qing & Li, Junyi & Guo, Tianyue & He, Yihan & He, Qianyu & Zhang, Zifan & Zhu, Min, 2025. "Study on the impact of digitalization on multidimensional energy poverty in Guangdong Province—Empirical test based on Alkire-Foster method," Energy, Elsevier, vol. 341(C).
    • Handle: RePEc:eee:energy:v:341:y:2025:i:c:s0360544225050327
    DOI: 10.1016/j.energy.2025.139390
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    1. Jiang, Keyang & Zhou, Ying & Zhang, Zhihui & Chen, Shaoqing & Qiu, Rongliang, 2024. "Simulating the economic and health impacts of synergistic emission reduction from accelerated energy transition in Guangdong-Hong Kong-Macao Greater Bay Area between 2020 and 2050," Applied Energy, Elsevier, vol. 364(C).
    2. Wang, Jieyu & Wang, Shaojian & Li, Shijie & Feng, Kuishuang, 2019. "Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province," Applied Energy, Elsevier, vol. 254(C).
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    4. Wang, Yao & Du, Zhili, 2024. "Has energy poverty entangled the households by hindering the filial generation?," Energy Policy, Elsevier, vol. 186(C).
    5. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    6. Ampofo, Akwasi & Mabefam, Matthew Gmalifo, 2021. "Religiosity and Energy Poverty: Empirical evidence across countries," Energy Economics, Elsevier, vol. 102(C).
    7. Shi, Xinjie & Cui, Liu & Huang, Zuhui & Zeng, Pei & Qiu, Tongwei & Fu, Linlin & Jiang, Qiang, 2023. "Impact of internal migration on household energy poverty: Empirical evidence from rural China," Applied Energy, Elsevier, vol. 350(C).
    8. Zhang, Pengfeng & Gu, Haiying, 2023. "Potential policy coordination: Can energy intensity targets affect energy poverty?," Energy Economics, Elsevier, vol. 126(C).
    9. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    10. Yu, Zhichao & Kamran, Hafiz Waqas & Amin, Azka & Ahmed, Bilal & Peng, Sun, 2023. "Sustainable synergy via clean energy technologies and efficiency dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    11. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    12. Luan, Bingjiang & Zou, Hong & Huang, Junbing, 2023. "Digital divide and household energy poverty in China," Energy Economics, Elsevier, vol. 119(C).
    13. Moteng, Ghislain & Raghutla, Chandrashekar & Njangang, Henri & Nembot, Luc Ndeffo, 2023. "International sanctions and energy poverty in target developing countries," Energy Policy, Elsevier, vol. 179(C).
    14. Li, Wenli & Yu, Youping & He, Qiang & Xu, Dingde & Qi, Yanbin & Deng, Xin, 2023. "Impact of clean energy use on the subjective health of household members: Empirical evidence from rural China," Energy, Elsevier, vol. 263(PD).
    15. Jia, Shanghui & Chen, Xinhui & Jin, Jiayu, 2024. "Digital disruption and energy efficiency: The impact of regional digitalization on China's industrial sector," Energy, Elsevier, vol. 300(C).
    16. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    17. Zhang, Ziyu & Shu, Hongting & Yi, Hong & Wang, Xiaohua, 2021. "Household multidimensional energy poverty and its impacts on physical and mental health," Energy Policy, Elsevier, vol. 156(C).
    18. Fan, Shuting & An, Kangxin & Zhang, Shihui & Wang, Can, 2024. "Cost-effective energy development pathway considering air quality co-benefits under climate target: A case study of Anhui Province in China," Applied Energy, Elsevier, vol. 353(PA).
    19. Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).
    20. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    21. Yao, Huizong & Zang, Chuanfu, 2021. "The spatiotemporal characteristics of electrical energy supply-demand and the green economy outlook of Guangdong Province, China," Energy, Elsevier, vol. 214(C).
    22. Sabina Alkire & Yingfeng Fang, 2019. "Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 25-64, February.
    23. Pereira, Diogo Santos & Marques, António Cardoso, 2023. "Are dynamic tariffs effective in reducing energy poverty? Empirical evidence from US households," Energy, Elsevier, vol. 282(C).
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