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Assessing the Dynamic Evolution of Global Energy Poverty Under Uncertain Climate Trends–Shaped Future Pathways

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  • Qi Liu
  • Zhaoxia Guo
  • Mengxin Guo
  • Jing Yang
  • Yucheng Dong
  • Lei Gao

Abstract

Energy poverty hinders the achievement of Sustainable Development Goals (SDGs) and effective climate governance. It is important to assess the dynamic evolution of energy poverty influenced by climate change, socioeconomic development, and energy poverty reduction policies. This study constructs a global energy poverty assessment indicator system with three dimensions: energy availability, affordability, and cleanability. We use a system dynamic integrated assessment model to evaluate the dynamic evolution of global energy poverty from 2025 to 2100 across 192 scenarios considering eight climate categories (targets), three demographic–economic pathways, and three policy clusters. Results show that the energy poverty index (EPI) is most influenced by energy cleanability, followed by affordability and availability. Achieving more stringent climate targets helps to reduce energy poverty, and the two optimal policy combinations identified reduce EPI by up to 22% by 2050 and 41% by 2100. This study provides insights for synergistic climate and energy poverty governance, supporting SDGs advancement.

Suggested Citation

  • Qi Liu & Zhaoxia Guo & Mengxin Guo & Jing Yang & Yucheng Dong & Lei Gao, 2026. "Assessing the Dynamic Evolution of Global Energy Poverty Under Uncertain Climate Trends–Shaped Future Pathways," Sustainable Development, John Wiley & Sons, Ltd., vol. 34(S2), pages 1203-1220, March.
  • Handle: RePEc:wly:sustdv:v:34:y:2026:i:s2:p:1203-1220
    DOI: 10.1002/sd.70396
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    References listed on IDEAS

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    1. Wenjie Ruan & Zhaoxia Guo & Jing Yang & Lei Gao & Yucheng Dong & Qi Liu, 2024. "Assessing the progress toward achieving energy‐ and climate‐related sustainable development goals under four global energy transition outlooks," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(4), pages 3695-3707, August.
    2. Setu Pelz & Shonali Pachauri & Sebastian Groh, 2018. "A critical review of modern approaches for multidimensional energy poverty measurement," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(6), November.
    3. Wang, Feng & Qu, Mengdie, 2024. "The interaction of income inequality and energy poverty on global carbon emissions: A dynamic panel data approach," Energy Economics, Elsevier, vol. 140(C).
    4. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    5. Che, Xiahui & Zhu, Bangzhu & Wang, Ping, 2021. "Assessing global energy poverty: An integrated approach," Energy Policy, Elsevier, vol. 149(C).
    6. Kong, Jiangwei & Gao, Mengxi & Liu, Xiang & Haroon, Muhammad, 2025. "Analysis of correlation between climate change and energy poverty: A panel data analysis," Energy, Elsevier, vol. 322(C).
    7. Xin, Baogui & Zhang, Tengda & Santibanez-Gonzalez, Ernesto D.R., 2024. "Synergistic effects of regional environmental governance on alleviating energy poverty and promoting household decarbonization," Energy Policy, Elsevier, vol. 185(C).
    8. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    9. Alkire, Sabina, 2005. "Valuing Freedoms: Sen's Capability Approach and Poverty Reduction," OUP Catalogue, Oxford University Press, number 9780199283316.
    10. Zhao, Jun & Dong, Kangyin & Dong, Xiucheng & Shahbaz, Muhammad, 2022. "How renewable energy alleviate energy poverty? A global analysis," Renewable Energy, Elsevier, vol. 186(C), pages 299-311.
    11. Feindt, Simon & Kornek, Ulrike & Labeaga, José M. & Sterner, Thomas & Ward, Hauke, 2021. "Understanding regressivity: Challenges and opportunities of European carbon pricing," Energy Economics, Elsevier, vol. 103(C).
    12. Khanna, Rupali A. & Li, Yanfei & Mhaisalkar, Subodh & Kumar, Mahesh & Liang, Lim Jia, 2019. "Comprehensive energy poverty index: Measuring energy poverty and identifying micro-level solutions in South and Southeast Asia," Energy Policy, Elsevier, vol. 132(C), pages 379-391.
    13. Sovacool, Benjamin K. & Burke, Matthew & Baker, Lucy & Kotikalapudi, Chaitanya Kumar & Wlokas, Holle, 2017. "New frontiers and conceptual frameworks for energy justice," Energy Policy, Elsevier, vol. 105(C), pages 677-691.
    14. Ürge-Vorsatz, Diana & Tirado Herrero, Sergio, 2012. "Building synergies between climate change mitigation and energy poverty alleviation," Energy Policy, Elsevier, vol. 49(C), pages 83-90.
    15. Seleshi G. Yalew & Michelle T. H. van Vliet & David E. H. J. Gernaat & Fulco Ludwig & Ariel Miara & Chan Park & Edward Byers & Enrica De Cian & Franziska Piontek & Gokul Iyer & Ioanna Mouratiadou & Ja, 2020. "Impacts of climate change on energy systems in global and regional scenarios," Nature Energy, Nature, vol. 5(10), pages 794-802, October.
    16. Jing Yang & Lei Gao & Qi Liu & Zhaoxia Guo, 2024. "Assessing environmental impacts of response strategies for sustainable food system transformation," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2435-2453, June.
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