IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v18y2025i9p511-d1749950.html
   My bibliography  Save this article

How Can Government Regulation Reinforce the Low-Carbon Effects of Green Finance in China? Heterogeneity of Resource-Based Cities and High-Energy-Consuming Cities

Author

Listed:
  • Yuying Hu

    (College of Management and Economics, Tiangong University, Tianjin 300387, China)

  • Yue Deng

    (College of Management and Economics, Tiangong University, Tianjin 300387, China)

  • Zhilun Jiao

    (College of Economic and Social Development, Nankai University, Tianjin 300071, China)

Abstract

Based on panel data of 273 prefecture-level cities in China from 2006 to 2022, this study empirically examines the impact and mechanism of green finance on urban low-carbon development from the perspective of government regulation. The study yields the following key results: First, green finance significantly promotes urban low-carbon development, and this finding remains valid after addressing endogeneity issues and conducting a series of robustness tests. Second, government regulation strengthens the low-carbon effect of green finance through two pathways: market-oriented reform and urban land planning. Third, the low-carbon effect of green finance is more pronounced in resource-based cities and low-energy-consuming cities, which corresponds to urban disparities in development stages and resource constraints. Given these results, this study proposes two targeted recommendations: institutionalizing the coordination mechanism between land use and carbon markets and implementing context-specific green finance strategies via urban differentiation approaches.

Suggested Citation

  • Yuying Hu & Yue Deng & Zhilun Jiao, 2025. "How Can Government Regulation Reinforce the Low-Carbon Effects of Green Finance in China? Heterogeneity of Resource-Based Cities and High-Energy-Consuming Cities," JRFM, MDPI, vol. 18(9), pages 1-19, September.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:9:p:511-:d:1749950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/18/9/511/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/18/9/511/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    2. Alharbi, Samar S. & Al Mamun, Md & Boubaker, Sabri & Rizvi, Syed Kumail Abbas, 2023. "Green finance and renewable energy: A worldwide evidence," Energy Economics, Elsevier, vol. 118(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. Mengmeng Qiang & Hangyi Lai & Zhenxi Lyu, 2025. "Carbon Emissions Trading and Employment: Evidence from China," Sustainability, MDPI, vol. 17(4), pages 1-19, February.
    2. Wang, Yafei & Shi, Ming & Zhao, Zihan & Liu, Junnan & Zhang, Shiqiu, 2025. "How does green finance improve the total factor energy efficiency? Capturing the mediating role of green management innovation and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
    3. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    4. Jinhan Yu & Licheng Sun, 2022. "Supply Chain Emission Reduction Decisions, Considering Overconfidence under Conditions of Carbon Trading Price Volatility," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    5. Boulanouar, Zakaria & Essid, Lobna & Farid, Saqib & Ben Mahjoub, Lassaad, 2025. "Asymmetric threshold effects of economic growth on renewable energy in response to energy price fluctuations," The Journal of Economic Asymmetries, Elsevier, vol. 31(C).
    6. Fan, Shuting & Wang, Can, 2024. "Transition finance facilitates lower-cost achievement of climate targets: A case study of China," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 617-629.
    7. Shizhao Zhang & Shuzhi Wang & Jiayong Zhang & Bao Wang & Hui Wang & Liwei Liu & Chong Cao & Muyang Shi & Yuhan Liu, 2025. "Research on the Application of Biochar in Carbon Sequestration: A Bibliometric Analysis," Energies, MDPI, vol. 18(11), pages 1-31, May.
    8. Chenrui Lu & Bing Wang & Tinggui Chen & Jianjun Yang, 2022. "A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    9. Zhu, Qingyuan & Sun, Chenhao & Xu, Chengzhen & Geng, Qianqian, 2025. "The impact of artificial intelligence on global energy vulnerability," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 15-27.
    10. Kuang, Yunming & Lin, Boqiang, 2021. "Performance of tiered pricing policy for residential natural gas in China: Does the income effect matter?," Applied Energy, Elsevier, vol. 304(C).
    11. Renjie Zhang & Hsingwei Tai & Kuotai Cheng & Huizhong Dong & Wenhui Liu & Junjie Hou, 2022. "Carbon Emission Efficiency Network: Evolutionary Game and Sensitivity Analysis between Differentiated Efficiency Groups and Local Governments," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
    12. Pingping Xiong & Xiaojie Wu & Jing Ye, 2023. "Building a novel multivariate nonlinear MGM(1,m,N|γ) model to forecast carbon emissions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9647-9671, September.
    13. Sinha, Avik & Tiwari, Sunil & Saha, Tanaya, 2024. "Modeling the behavior of renewable energy market: Understanding the moderation of climate risk factors," Energy Economics, Elsevier, vol. 130(C).
    14. Shah, Syed Sumair & Murodova, Gulnora & Khan, Anwar, 2025. "Contribution of green bonds and green growth in clean energy capacity under the moderating role of political stability," Renewable Energy, Elsevier, vol. 246(C).
    15. Mohsin, Muhammad & Jamaani, Fouad, 2023. "A novel deep-learning technique for forecasting oil price volatility using historical prices of five precious metals in context of green financing – A comparison of deep learning, machine learning, an," Resources Policy, Elsevier, vol. 86(PA).
    16. Gao, Ming, 2023. "The impacts of carbon trading policy on China's low-carbon economy based on county-level perspectives," Energy Policy, Elsevier, vol. 175(C).
    17. Teng, Yuqiang & Lin, Boqiang, 2024. "The energy-saving effect of industrial chain synergistic division: Evidence from China's industrial chain," Energy Policy, Elsevier, vol. 185(C).
    18. Li, Minyang & Lin, Boqiang, 2024. "Clean energy business expansion and financing availability: The role of government and market," Energy Policy, Elsevier, vol. 191(C).
    19. Qiu, Xin & Jin, Jianjun & He, Rui & Mao, Jiansu, 2022. "The deviation between the willingness and behavior of farmers to adopt electricity-saving tricycles and its influencing factors in Dazu District of China," Energy Policy, Elsevier, vol. 167(C).
    20. Zhao, Ruizeng & Sun, Jiasen & Wang, Xinyue, 2024. "Synergistic impact of digital finance and urban agglomeration policy on carbon emission reduction," International Review of Economics & Finance, Elsevier, vol. 96(PB).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jjrfmx:v:18:y:2025:i:9:p:511-:d:1749950. 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.