IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i14p6183-d1438825.html
   My bibliography  Save this article

Insight into Policy Structure and Key Characteristics of China’s Low-Carbon Policy System: Based on Text Mining Method

Author

Listed:
  • Jinhua Xu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xueying Wang

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yuanyuan Wang

    (School of Economics and Management, North China Institute of Science and Technology, Langfang 065201, China)

Abstract

Developing a comprehensive low-carbon policy system is essential for China to achieve both the “carbon peak” and “carbon neutrality” milestones, significantly contributing to sustainable development. However, research on low-carbon policy predominantly emphasizes policy tools, implementation paths, and implementation effects, neglecting the comprehensive analysis of the systemic structure and evolutionary traits of such policy frameworks. To address the above problems, this study elucidates the structure, evolutionary stages, and key characteristics of low-carbon policies issued from 2007 to 2022 through text mining methods. Results show that: (1) China’s low-carbon policies progress through three distinct stages: initial exploration stage (2007–2015), accelerated advancement stage (2016–2019), and comprehensive implementation stage (2020–2022). (2) China’s “1 + N” policy system covers a broad spectrum of sectors, including energy, industry, construction, transportation, and finance, ensuring comprehensive coverage across various domains of policy. (3) The policy spotlight has progressively shifted from environmental protection to low-carbon development, emphasizing carbon market construction and innovative development. According to the key findings, this study provides recommendations that encompass crucial aspects such as accelerating technological innovation, strengthening carbon market mechanisms, and promoting green finance. Overall, the textual analysis of the low-carbon policy system in this study underscores the significance of policy structural coordination and evolution, offering insights for shaping China’s future roadmap in advancing low-carbon objectives.

Suggested Citation

  • Jinhua Xu & Xueying Wang & Yuanyuan Wang, 2024. "Insight into Policy Structure and Key Characteristics of China’s Low-Carbon Policy System: Based on Text Mining Method," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6183-:d:1438825
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/14/6183/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/14/6183/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    2. Lin, Boqiang & Jia, Zhijie, 2017. "The impact of Emission Trading Scheme (ETS) and the choice of coverage industry in ETS: A case study in China," Applied Energy, Elsevier, vol. 205(C), pages 1512-1527.
    3. Cao, Jing & Ho, Mun S. & Ma, Rong & Teng, Fei, 2021. "When carbon emission trading meets a regulated industry: Evidence from the electricity sector of China," Journal of Public Economics, Elsevier, vol. 200(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Libo & Zhang, Shuaishuai & Qian, Haoqi, 2022. "Distributional effects of China's National Emissions Trading Scheme with an emphasis on sectoral coverage and revenue recycling," Energy Economics, Elsevier, vol. 105(C).
    2. Chu, Baoju & Lin, Boqiang & Tian, Lichun & Zheng, Chaofeng & Ye, Nan & Zhu, Yafang & Tan, Zhizhou, 2024. "A long-term impact assessment of carbon capture (storage) investment conducted by conventional power company on sustainable development," Applied Energy, Elsevier, vol. 358(C).
    3. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    4. Heijmans, Roweno J.R.K. & Engström, Max, 2024. "Time Horizons and Emissions Trading," Discussion Papers 2024/2, Norwegian School of Economics, Department of Business and Management Science.
    5. Zhang, Yanfang & Wei, Jinpeng & Gao, Qi & Shi, Xunpeng & Zhou, Dequn, 2022. "Coordination between the energy-consumption permit trading scheme and carbon emissions trading: Evidence from China," Energy Economics, Elsevier, vol. 116(C).
    6. Zhang, Ming-ang & Lu, Shuling & Zhang, Sihan & Bai, Yanfeng, 2023. "The unintended consequence of minimum wage hikes: Evidence based on firms' pollution emission," Energy Economics, Elsevier, vol. 125(C).
    7. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    8. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    9. Wenxiu Xing & Yuan Chi & Xuejian Ma & Dahai Liu, 2021. "Spatiotemporal Characteristics of Vegetation Net Primary Productivity on an Intensively-Used Estuarine Alluvial Island," Land, MDPI, vol. 10(2), pages 1-26, January.
    10. Zhang, Xuefeng & Li, Zhe & Li, Guo, 2024. "Grandfather-based or benchmark-based: Strategy choice for carbon quota allocation methods in the carbon neutrality era," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    11. Wu, Qingyang & Wang, Yanying, 2022. "How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 109(C).
    12. Yidan Chen & Jiang Lin & David Roland-Holst & Xu Liu & Can Wang, 2023. "Declining Renewable Costs, Emissions Trading, and Economic Growth: China’s Power System at the Crossroads," Energies, MDPI, vol. 16(2), pages 1-14, January.
    13. Zhang, Pengfeng & Gu, Haiying, 2023. "Potential policy coordination: Can energy intensity targets affect energy poverty?," Energy Economics, Elsevier, vol. 126(C).
    14. Yu, Zhongjue & Geng, Yong & Calzadilla, Alvaro & Bleischwitz, Raimund, 2022. "China's unconventional carbon emissions trading market: The impact of a rate-based cap in the power generation sector," Energy, Elsevier, vol. 255(C).
    15. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    16. Wang, Chang & Guo, Yue & Yang, Yu & Chen, Shiyi, 2022. "The environmental benefits of electricity industry restructuring in China: Ownership mixing vs. vertical unbundling," Energy Economics, Elsevier, vol. 115(C).
    17. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    18. Che, Shuai & Wang, Jun & Chen, Honghang, 2023. "Can China's decentralized energy governance reduce carbon emissions? Evidence from new energy demonstration cities," Energy, Elsevier, vol. 284(C).
    19. Wu, Xiaoping & Liu, Peng & Yang, Lin & Shi, Zhuangfei & Lao, Yongshuai, 2024. "Impact of three carbon emission reduction policies on carbon verification behavior: An analysis based on evolutionary game theory," Energy, Elsevier, vol. 295(C).
    20. Sentao Wu & Xin Deng & Yanbin Qi, 2022. "Factors Driving Coordinated Development of Urban Green Economy: An Empirical Evidence from the Chengdu-Chongqing Economic Circle," IJERPH, MDPI, vol. 19(10), pages 1-20, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6183-:d:1438825. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.