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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Environmental Economics and Management

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1564489

This article is part of the Research Topic Climate Risk and Green and Low-Carbon Transformation: Economic Impact and Policy Response View all 18 articles

Can Targeted Industrial Policy Drive Low-Carbon Transformation? Evidence from China's Five-Year Plans

Provisionally accepted
Li Song Li Song Jiali Yuan Jiali Yuan Ting Li Ting Li Jianzhong Zhang Jianzhong Zhang *
  • Fujian University of Technology, Fuzhou, China

The final, formatted version of the article will be published soon.

    Facing escalating climate challenges, the Chinese government has highlighted the importance of targeted industrial policy for driving low-carbon transformation within its Five-Year Plans, whose effectiveness warrants evaluation. This paper employs a fixed-effects model across provinces, industries, and years, adopting data from 36 sectors across 30 Chinese provinces from 1997 to 2019, to assess the impact of the targeted industrial policy on low-carbon transformation.We reveal that industries receiving targeted support exhibit a 9.2% higher low-carbon transformation index than those without. The effects of industrial policy on low-carbon transformation are more pronounced in the context of local government policy, recent Five-Year Plans, sectors with moderate to low technological complexity, and high-emission sectors.Mechanism analysis shows that industrial policy facilitates low-carbon transformation by structural effects and technological effects. These insights offer a foundation for refining industrial policy design and execution to achieve carbon neutrality goals and foster sustainable growth.

    Keywords: Targeted industrial policy, Five-Year Plan, manufacturing, Low-carbon transformation, SBM-GML JEL Classification codes: O13, O25, Q01, Q56

    Received: 21 Jan 2025; Accepted: 24 Mar 2025.

    Copyright: © 2025 Song, Yuan, Li and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jianzhong Zhang, Fujian University of Technology, Fuzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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