IDEAS home Printed from https://ideas.repec.org/a/eee/corfin/v82y2023ics0929119923000901.html
   My bibliography  Save this article

Green credit and its obstacles: Evidence from China's green credit guidelines

Author

Listed:
  • Huang, Zhen
  • Gao, Ning
  • Jia, Ming

Abstract

How effective are green credit policies in guiding credit flows? We find a significant penalty effect of China's 2012 “Green Credit Guidelines” (GCG) on firms in pollution intensive industries. The GCG achieves cross-industry credit allocation by steering bank loans away from pollution intensive industries. Nonetheless, further analyses suggest special interests associated with political connections, local aspirations for economic growth, and banking business preferences stifle this effect. Strong environmental management at the firm level does not improve firms' access to bank credit regardless of their industries, suggesting GCG fails to attain cross-firm credit reallocation within industries. Additional analysis shows that pollution intensive firms strengthen their environmental management when they are bank dependent. When segregating overall bank credit into short-term and long-term, we find the credit penalty effect is more substantial for short-term credit, and the obstacle effects are somewhat mixed. Our evidence also suggests that pollution intensive firms substitute bank debt with debt supplied by non-bank lenders who are arguably under less compliance pressure, and GCG do not affect pollution intensive firms' real investments. Overall, we highlight the tension between environmental policies' intended consequence and the special interests embedded in the political and economic institutions typical of a large developing economy.

Suggested Citation

  • Huang, Zhen & Gao, Ning & Jia, Ming, 2023. "Green credit and its obstacles: Evidence from China's green credit guidelines," Journal of Corporate Finance, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:corfin:v:82:y:2023:i:c:s0929119923000901
    DOI: 10.1016/j.jcorpfin.2023.102441
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0929119923000901
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcorpfin.2023.102441?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Songlin & Miao, Xuaner & Zheng, Haoqing & Chen, Weihong & Wang, Huafeng, 2024. "Spatial functional division in urban agglomerations and carbon emission intensity: New evidence from 19 urban agglomerations in China," Energy, Elsevier, vol. 300(C).
    2. Lei, Ni & Miao, Qin & Yao, Xin, 2023. "Does the implementation of green credit policy improve the ESG performance of enterprises? Evidence from a quasi-natural experiment in China," Economic Modelling, Elsevier, vol. 127(C).

    More about this item

    Keywords

    Green credit; Credit reallocation; Pollution intensive firms; Bank loans; Special interests; Climate policy;
    All these keywords.

    JEL classification:

    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

    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:eee:corfin:v:82:y:2023:i:c:s0929119923000901. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcorpfin .

    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.