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Analyzing the regional inequality of renewable energy consumption and its driving factors: Evidence from China

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  • Li, Menghan
  • Liu, Xiaoxiao
  • Yang, Mian

Abstract

To achieve the goal of “carbon peaking and carbon neutrality”, China is vigorously developing renewable energy. This paper aims to examine the major contributors to regional inequality in renewable energy consumption by analyzing the 30 provinces in China. We have analyzed the inequality of China's renewable energy consumption with Dagum Gini coefficient, and then use the Generalized Divisia Index Model (GDIM) to decompose the influencing factors contributing to the inequality of renewable energy consumption. The main conclusions are summarized as follows: First, renewable energy consumption was higher in the western region than in the central and eastern regions, and the regional inequality in renewable energy consumption have increased over time. Second, the study reveals that inter-group disparity is the primary source of regional inequality in renewable energy consumption in China. Third, at the national level, the results of the GDIM decomposition show that economic development continues to rely on fossil energy consumption, which negatively impacts the low-carbon transition of energy. Given China's complex geographical conditions, it is crucial for different provinces to develop their own strategies for renewable energy development, taking into account unique resources and challenges.

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  • Li, Menghan & Liu, Xiaoxiao & Yang, Mian, 2024. "Analyzing the regional inequality of renewable energy consumption and its driving factors: Evidence from China," Renewable Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:renene:v:223:y:2024:i:c:s0960148124001083
    DOI: 10.1016/j.renene.2024.120043
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    Cited by:

    1. Xia, Zhenhua & Jia, Guosheng & Tao, Zeyu & Jia, Wei & Shi, Yishu & Jin, Liwen, 2024. "Multi-objective optimization of geothermal heating systems based on thermal economy and environmental impact evaluation," Renewable Energy, Elsevier, vol. 237(PD).
    2. Lin, Boqiang & Xie, Yongjing, 2024. "Driving renewable energy innovation investments: Is venture capital a novel strategic choice? Evidence from China," Renewable Energy, Elsevier, vol. 237(PC).
    3. Mati, Sagiru & Baita, Abubakar Jamilu & Ismael, Goran Yousif & Abdullahi, Salisu Garba & Samour, Ahmed & Ozsahin, Dilber Uzun, 2024. "Enhancing CO2 emissions prediction in Africa: A novel approach integrating enviroeconomic factors and nature-inspired neural network in the presence of unit root," Renewable Energy, Elsevier, vol. 237(PA).
    4. Yufang Shi & Xin Wang & Tianlun Zhang, 2025. "Dynamic Evolution and Trend Forecasting of New Quality Productive Forces Development Levels in Chinese Urban Agglomerations," Sustainability, MDPI, vol. 17(4), pages 1-23, February.
    5. Bi, Sheng & Li, Chengjiang & Zhang, Wei & Xu, Guoteng & Wang, Honglei & Hu, Yu-Jie & Chen, Che & Wang, Sheng, 2024. "The prospect of methanol-fuel heating in northern China," Renewable Energy, Elsevier, vol. 237(PB).
    6. Wang, Shuhong & Li, Weiyao & Zhang, Ying & Song, Malin & Chen, Xueli & Cui, Lianbiao, 2024. "The impact of a natural resource protection policy on economic development: Based on a policy evaluation of China’s coal resource tax reform," Energy Policy, Elsevier, vol. 192(C).
    7. Yinhui Wang & Yugang He & Xiaodan Gao, 2025. "Synergizing Renewable Energy and Circular Economy Strategies: Pioneering Pathways to Environmental Sustainability," Sustainability, MDPI, vol. 17(5), pages 1-22, February.

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