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Analysis Report on the Proportion of Green Credit of Bank of Hangzhou

#green_credit #banking_analysis #city_commercial_bank #hangzhou_bank #green_finance #carbon_neutrality #financial_regulation
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January 17, 2026

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Based on the collected information, I now provide you with a detailed analysis report on the proportion of green credit balance to corporate loans of Bank of Hangzhou.

Analysis Report on the Proportion of Green Credit of Bank of Hangzhou
I. Core Data Indicators

According to the “Credit Rating Report on Green Financial Bonds of Bank of Hangzhou Co., Ltd. (2025)” released by China Chengxin International, the green credit-related data of Bank of Hangzhou is as follows [1][2]:

Indicator Value
Green Credit Balance (in RMB 100 million)
1,200.16
Proportion of Green Credit to Corporate Loans
19.78%
Corporate Loan Balance at the End of 2024 (in RMB 100 million)
6,316.50
Proportion of Corporate Loans to Total Loans
67.38%
II. Vertical Trend Analysis

Based on historical data, the green credit business of Bank of Hangzhou has shown a continuous growth trend [0][1]:

Time Node Green Loan Balance (in RMB 100 million) YoY Growth Rate
Beginning of 2024 Approx. 885.27 -
End of 2024 Approx. 1,048.56 18.45%
End of Q3 2025 1,048.56 +163.29 (in RMB 100 million) on a same-caliber basis compared to the beginning of the year

Key Observations
:

  • The growth rate of green credit in the first three quarters of 2025 reaches 18.45%, showing strong growth momentum
  • The proportion of green credit balance to corporate loans reaches 19.78%, which is at a good level in the industry
III. Regulatory Standards and Compliance Assessment
1. Regulatory Assessment System

According to the “Green Finance Evaluation Plan for Banking Financial Institutions” issued by the People’s Bank of China [3][4]:

  • Assessment Scope
    : City commercial banks have been included in the assessment system since 2021
  • Weight of Quantitative Indicators
    : 80%
    • Proportion of total green finance business volume
    • Proportion of total green finance business volume share
    • YoY growth rate of total green finance business volume
    • Proportion of total risk of green finance business
  • Weight of Qualitative Indicators
    : 20%
    • Implementation of national and local green finance policies
    • Implementation of the institution’s own green finance development strategy
    • Financial support for the development of green industries
2. Industry Benchmarking

Based on the comparison of green credit data of listed banks in 2024 [5]:

Bank Type Representative Banks Proportion of Green Credit to Corporate Loans
Large State-owned Banks Industrial and Commercial Bank of China, China Construction Bank Approx. 10-15%
Joint-stock Commercial Banks Industrial Bank Co., Ltd., China Merchants Bank Approx. 8-12%
City Commercial Banks Bank of Hangzhou
19.78%
Industry Average of City Commercial Banks - Approx. 8-12%
IV. Compliance Assessment Conclusion
Compliance Rating: Excellent

Reasons are as follows
:

  1. Compliance with Proportion Indicators
    :

    • The proportion of green credit to corporate loans of Bank of Hangzhou reaches
      19.78%
      , far exceeding the industry average
    • Compared with large state-owned banks and joint-stock commercial banks, this proportion of Bank of Hangzhou is significantly higher
  2. Favorable Growth Trend
    :

    • The growth rate of green credit in the first three quarters of 2025 reaches
      18.45%
    • This reflects the bank’s strategic emphasis and continuous investment in green finance
  3. Alignment with Regulatory Orientation
    :

    • Positively responds to the “Dual Carbon” goals and green finance policy orientation
    • Complies with the requirements of the “Guidelines for Green Finance in Banking and Insurance Industries” issued by the People’s Bank of China
  4. Optimized Business Structure
    :

    • Green credit is mainly invested in the green upgrading industry of infrastructure (accounting for 42.84%) [5]
    • Energy conservation and environmental protection industry as well as clean energy industry are also important investment directions
V. Risk Warnings
  1. Industry Concentration Risk
    : Green credit is mainly concentrated in industries such as water conservancy, environment, and public facilities management
  2. Policy Change Risk
    : It is necessary to continuously pay attention to changes in green finance policies and statistical calibers
  3. Asset Quality Risk
    : It is necessary to pay attention to changes in the asset quality of green credit and prevent the risk of “greenwashing”
VI. Conclusion

The performance of Bank of Hangzhou, with its green credit balance accounting for

19.78%
of corporate loans, is
excellent
. It not only meets regulatory requirements but also ranks leading among peers. The bank’s continuous investment in the green finance field reflects its positive response to the national green development strategy and good performance in fulfilling social responsibilities, providing strong financial support for promoting regional green economic development.


References

[0] 2025 Third Quarter Report of Bank of Hangzhou Co., Ltd. (https://static.cninfo.com.cn/finalpage/2025-10-31/1224778046.pdf)

[1] Credit Rating Report on 2025 Green Financial Bonds of Bank of Hangzhou Co., Ltd. (https://www.shibor.org/dqs/cm-s-notice-query/fileDownLoad.do?contentId=3246860&priority=0&mode=save)

[2] Credit Rating Report on 2025 Financial Bonds (Second Tranche) of Bank of Hangzhou Co., Ltd. (https://www.chinamoney.org.cn/dqs/cm-s-notice-query/fileDownLoad.do?contentId=3188321&priority=0&mode=save)

[3] People’s Bank of China. Green Finance Evaluation Plan for Banking Financial Institutions (https://data.sbfnetwork.org/sites/default/files/355_China_Green_credit_evaluation_notice_2018_PBOC__bilingual.pdf)

[4] China’s Green Credit Market: Development Status, Basic Characteristics and Policy Recommendations (http://www.nifd.cn/Uploads/Paper/307e6332-68ac-419b-ac8a-7735c6cef27e.pdf)

[5] Institute of Green Finance, Central University of Finance and Economics. Green Finance Development Report (https://iigf.cufe.edu.cn/)

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.