Energy Poverty in China: Measurement, Regional Inequality, and Dynamic Evolution

Against the backdrop of China’s transition from the eradication of absolute poverty toward the pursuit of common prosperity, equitable access to energy has become an increasingly important policy concern. This study develops a multidimensional framework to assess energy poverty from three interrelated dimensions: energy use level, energy structure, and energy capability. Using panel data for 30 provincial-level regions from 2005 to 2020, a provincial energy poverty index (EPI) is constructed based on the entropy-weighting approach. The spatial and temporal dynamics of energy poverty are examined using Moran’s I, the Dagum Gini decomposition, kernel density estimation, and spatial Markov chain analysis. The results reveal several key patterns. (1) Although energy poverty has declined nationwide, it remains pronounced in parts of western, central, and northeastern China. (2) Energy poverty exhibits significant spatial clustering, with high-poverty clusters concentrated in resource-dependent regions such as Shanxi and Inner Mongolia, while low-poverty clusters are mainly located along the eastern coast. (3) Regional disparities follow an inverted U-shaped trajectory over time, with east–west differences constituting the primary source of overall inequality. (4) Moreover, the evolution of energy poverty displays strong path dependence and club convergence. These findings highlight the need to strengthen dynamic monitoring and governance mechanisms, promote region-specific clean energy development, and enhance cross-regional coordination to support energy security and green transformation under China’s “dual-carbon” objectives.

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Publication Details

Journal
Energies
Published
2025-12-26
DOI
https://doi.org/10.3390/en19010143
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.00

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Energy Poverty in China: Measurement, Regional Inequality, and Dynamic Evolution

Ziying Jia, Yu Hao, Zhiyuan Gao, Xinyi Yang et al.
Energies
Energy and Environment Impacts
article

Energy Poverty in China: Measurement, Regional Inequality, and Dynamic Evolution

Ziying Jia, Yu Hao, Zhiyuan Gao, Xinyi Yang, Shengbo Gao, Chuantong Zhang
article en

Abstract

Against the backdrop of China’s transition from the eradication of absolute poverty toward the pursuit of common prosperity, equitable access to energy has become an increasingly important policy concern. This study develops a multidimensional framework to assess energy poverty from three interrelated dimensions: energy use level, energy structure, and energy capability. Using panel data for 30 provincial-level regions from 2005 to 2020, a provincial energy poverty index (EPI) is constructed based on the entropy-weighting approach. The spatial and temporal dynamics of energy poverty are examined using Moran’s I, the Dagum Gini decomposition, kernel density estimation, and spatial Markov chain analysis. The results reveal several key patterns. (1) Although energy poverty has declined nationwide, it remains pronounced in parts of western, central, and northeastern China. (2) Energy poverty exhibits significant spatial clustering, with high-poverty clusters concentrated in resource-dependent regions such as Shanxi and Inner Mongolia, while low-poverty clusters are mainly located along the eastern coast. (3) Regional disparities follow an inverted U-shaped trajectory over time, with east–west differences constituting the primary source of overall inequality. (4) Moreover, the evolution of energy poverty displays strong path dependence and club convergence. These findings highlight the need to strengthen dynamic monitoring and governance mechanisms, promote region-specific clean energy development, and enhance cross-regional coordination to support energy security and green transformation under China’s “dual-carbon” objectives.

EnergiesVol. 19(1)
Beijing Institute of Technology (CN), Beijing Institute of Petrochemical Technology (CN), Tarim University (CN), Shenzhen MSU-BIT University
National Office for Philosophy and Social Sciences, Beijing Institute of Petrochemical Technology, Division of Graduate Education
No poverty
Openalex Percentile: Top 49%
Energy and Environment Impacts
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