Study on the theme evolution and regional differences of new energy industrial policy based on natural language processing technology

Ruyin Long, Shilin Guo, Meifen Wu and Jingwen Na

Energy, 2025, vol. 331, issue C

Abstract: In the context of accelerating the development of a new energy system, the rapid growth of the new energy industry has become a key driver in achieving China's dual-carbon goals and fostering economic and social transformation. Leveraging technological advancements and robust policy support, China has made significant strides in the development and utilization of wind, solar and hydrogen energy, culminating in the establishment of a comprehensive industrial chain. This study analyzes 2730 new energy Industrial policies issued by central and local governments, employing Natural Language Processing techniques for keyword extraction, thematic analysis, and semantic similarity assessment. The results indicate that, while central policies provide substantial support for the new energy sector, regional responses exhibit considerable variability. The evolution of China's new energy industrial policy can be categorized into three distinct stages, with regions tailoring their policies to local resource endowments and developmental priorities: the eastern region focusing on technological innovation and synergy, the central on infrastructure and markets, the western on resource exploitation and projects, and the northeast on technological upgrading. Additionally, notable discrepancies in policy content across provinces were observed. Based on these findings, the study offers targeted recommendations for optimizing China's new energy industrial policy framework.

Keywords: New energy industry; Policy research; Python natural language processing; Topic evolution; Regional difference (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:331:y:2025:i:c:s0360544225024983

DOI: 10.1016/j.energy.2025.136856

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