Research on the process of energy poverty alleviation in China's provinces by new energy revolution from the perspective of time and space

Wenjun Zhu, Changfeng Shi, Zixu Chen, Jiaqi Zhi, Chenjun Zhang and Xiao Yao

Energy, 2025, vol. 322, issue C

Abstract: The ambitious new energy revolution has significantly alleviated provincial energy poverty in China, yet whether citizens have tangibly benefited from its energy poverty reduction effects remains to be empirically verified. This study uses GRA-SRA to measure China's provincial energy poverty level, designs energy poverty public opinion vocabulary to capture social media data from 2012 to 2023, analyzes the emotional tendency and content concerned through Roberta-Bi-GRU-Attention model, introduces Lyapunov exponent and emotional intensity to describe the chaotic characteristics of public opinion system and makes Spearman correlation analysis with energy poverty index. The results show that: (1) There are obvious differences in the spatial distribution of energy poverty provinces and poverty types are diverse. The degree of energy poverty is not completely linked with economic development. (2) The speed and intensity of the regional new energy revolution are unbalanced. The energy transformation rate and radiation effect in economically developed areas are stronger. (3) While public opinions are becoming more rational, they also show periodic changes. The negative emotions gradually translate from energy safety to energy price and stability. (4) Economic and environmental factors have obvious effects on public opinion's complexity. The former is positive to public opinion, while the latter is opposite.

Keywords: New energy revolution; Energy poverty; GRA-SRA; Text mining; Data science; Sentiment analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:322:y:2025:i:c:s0360544225012770

DOI: 10.1016/j.energy.2025.135635

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