IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12573-d1220288.html
   My bibliography  Save this article

Do ESG Ratings of Chinese Firms Converge or Diverge? A Comparative Analysis Based on Multiple Domestic and International Ratings

Author

Listed:
  • Yunfu Zhu

    (College of Economics and Management, Nanjing Forestry University, No. 159 Longpan Road, Xuanwu District, Nanjing 210037, China)

  • Haoling Yang

    (College of Economics and Management, Nanjing Forestry University, No. 159 Longpan Road, Xuanwu District, Nanjing 210037, China)

  • Ma Zhong

    (College of Economics and Management, Nanjing Forestry University, No. 159 Longpan Road, Xuanwu District, Nanjing 210037, China)

Abstract

Since the Chinese economy has transitioned to a sustainable model, the Chinese socially responsible investment (SRI) market has expanded rapidly, which has deeply stimulated the development of environmental, social, and governance (ESG) ratings for Chinese firms. Domestic agencies, such as SynTao, Rankins (RKS), Sino-Securities (SSII), and China Alliance of Social Value Investment (CASVI), and international agencies, such as Bloomberg, FTSE Russell (FTSE), and Morgan Stanley Capital International (MSCI), have launched their own ESG rating systems. These emerging ratings may provide users of information with more diverse references; however, if their results are too divergent, they may also confuse users. To what extent do these ESG rating results in the Chinese market converge or diverge? Aiming to answer this question, we used Hushen 300 index firms in 2019 as the initial sample, and selected 195 firms covered by the above seven ratings for the analysis. Firstly, by comparing the overlap in the top 100 lists of these sample firms, we found that the list overlap rate between each pair of ratings was between 66.36% and 82.35%; however, only 35% of the firms were listed in the top 100 of all seven ratings. Furthermore, the Pearson correlation analysis showed that the correlation coefficients between each pair of ratings ranged from 0.057 to 0.736, and the average was only 0.411. These results suggest a wide divergence in the ESG rating results for Chinese firms. We suggest that information users need to consider a more diverse and comprehensive perspective when utilizing these ratings.

Suggested Citation

  • Yunfu Zhu & Haoling Yang & Ma Zhong, 2023. "Do ESG Ratings of Chinese Firms Converge or Diverge? A Comparative Analysis Based on Multiple Domestic and International Ratings," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12573-:d:1220288
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12573/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12573/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng, Jingwen & Goodell, John W. & Shen, Dehua, 2022. "ESG rating and stock price crash risk: Evidence from China," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Ilze Zumente & Nataļja Lāce, 2021. "ESG Rating—Necessity for the Investor or the Company?," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    3. Mu, Weiwei & Liu, Kefu & Tao, Yunqing & Ye, Yongwei, 2023. "Digital finance and corporate ESG," Finance Research Letters, Elsevier, vol. 51(C).
    4. Li, Quan & Chen, Huimin & Chen, Yang & Xiao, Tong & Wang, Li, 2023. "Digital economy, financing constraints, and corporate innovation," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    5. Xiaoke Zhang & Xuankai Zhao & Yu He, 2022. "Does It Pay to Be Responsible? The Performance of ESG Investing in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(11), pages 3048-3075, September.
    6. Lishi Zeng & Xuemei Jiang, 2023. "ESG and Corporate Performance: Evidence from Agriculture and Forestry Listed Companies," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    7. Chen, Zhongfei & Xie, Guanxia, 2022. "ESG disclosure and financial performance: Moderating role of ESG investors," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Hu, Jianxiong & Zou, Qing & Yin, Qianqian, 2023. "Research on the effect of ESG performance on stock price synchronicity: Empirical evidence from China's capital markets," Finance Research Letters, Elsevier, vol. 55(PA).
    9. Yuexiang Yang & Zhihui Du & Zhen Zhang & Guanqun Tong & Rongxi Zhou, 2021. "Does ESG Disclosure Affect Corporate-Bond Credit Spreads? Evidence from China," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    10. Xiang Deng & Xiang Cheng, 2019. "Can ESG Indices Improve the Enterprises’ Stock Market Performance?—An Empirical Study from China," Sustainability, MDPI, vol. 11(17), pages 1-13, September.
    11. Khaled Saadaoui & Teerooven Soobaroyen, 2018. "An analysis of the methodologies adopted by CSR rating agencies," Post-Print hal-01954551, HAL.
    12. Chen, Yonghuai & Li, Tao & Zeng, Qing & Zhu, Bo, 2023. "Effect of ESG performance on the cost of equity capital: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 348-364.
    13. Wang, Yizhi & Lin, Yongjia & Fu, Xiaoqing & Chen, Songhe, 2023. "Institutional ownership heterogeneity and ESG performance: Evidence from China," Finance Research Letters, Elsevier, vol. 51(C).
    14. Fang, Mingyue & Nie, Huihua & Shen, Xinyi, 2023. "Can enterprise digitization improve ESG performance?," Economic Modelling, Elsevier, vol. 118(C).
    15. Aaron K. Chatterji & Rodolphe Durand & David I. Levine & Samuel Touboul, 2016. "Do ratings of firms converge? Implications for managers, investors and strategy researchers," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1597-1614, August.
    16. Sun, Guanglin & Li, Ting & Ai, Yongfang & Li, Qinghai, 2023. "Digital finance and corporate financial fraud," International Review of Financial Analysis, Elsevier, vol. 87(C).
    17. Deli Wang & Ke Peng & Kaiye Tang & Yewei Wu, 2022. "Does Fintech Development Enhance Corporate ESG Performance? Evidence from an Emerging Market," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Danni Yu & Tiantian Meng & Minyu Zheng & Rongyi Ma, 2024. "ESG uncertainty, investor attention and stock price crash risk in China: evidence from PVAR model analysis," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

    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. Wang, Haijun & Jiao, Shuaipeng & Ge, Chen & Sun, Guanglin, 2024. "Corporate ESG rating divergence and excess stock returns," Energy Economics, Elsevier, vol. 129(C).
    2. Lipeng Sun & Nur Ashikin Mohd Saat, 2023. "How Does Intelligent Manufacturing Affect the ESG Performance of Manufacturing Firms? Evidence from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    3. Lai, Xiaobing & Zhang, Fan, 2022. "Can ESG certification help company get out of over-indebtedness? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    4. Shan Wu & Ying Li, 2023. "A Study on the Impact of Digital Transformation on Corporate ESG Performance: The Mediating Role of Green Innovation," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    5. Li, WeiWei & Padmanabhan, Prasad & Huang, Chia-Hsing, 2024. "ESG and debt structure: Is the nature of this relationship nonlinear?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    6. Liu, Min & Guo, Tongji & Ping, Weiying & Luo, Liangqing, 2023. "Sustainability and stability: Will ESG investment reduce the return and volatility spillover effects across the Chinese financial market?," Energy Economics, Elsevier, vol. 121(C).
    7. Ni, Yinan & Sun, Yanfei, 2023. "Environmental, social, and governance premium in Chinese stock markets," Global Finance Journal, Elsevier, vol. 55(C).
    8. Qian, Kun & Shi, Bingjie & Song, Yunling & Wu, Hao, 2023. "ESG performance and loan contracting in an emerging market," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    9. Zhu, Bo & Wang, Yansen, 2024. "Does social trust affect firms' ESG performance?," International Review of Financial Analysis, Elsevier, vol. 93(C).
    10. Sang, Yuli & Xie, Mingjian & Bai, Xiaolong & Guo, Fusen, 2024. "Does natural resource dependence influence the impact of financial technologies on corporate ESG and digital governance in China's listed enterprises?," Resources Policy, Elsevier, vol. 91(C).
    11. Xuemei Zhou & Sifeng Nian, 2024. "Sustainable Pathways: ESG Disclosure Performance and Optimization in China," Sustainability, MDPI, vol. 16(11), pages 1-25, May.
    12. Di Song & Canyu Xu & Zewei Fu & Chao Yang, 2023. "How Does a Regulatory Minority Shareholder Influence the ESG Performance? A Quasi-Natural Experiment," Sustainability, MDPI, vol. 15(7), pages 1-22, April.
    13. Binbin Yang & Sang Do Park, 2024. "Under the ESG Dome of China," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    14. Jiajia Liu & Zhenzhen Ge & Yahan Wang, 2024. "Role of environmental, social, and governance rating data in predicting financial risk and risk management," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 260-273, January.
    15. Ren, Xiaohang & Zeng, Gudian & Zhao, Yang, 2023. "Digital finance and corporate ESG performance: Empirical evidence from listed companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    16. Khurram, Muhammad Usman & Chen, Lifeng & Abedin, Mohammad Zoynul & Adu, Douglas A. & Lucey, Brian, 2024. "ESG disclosure and internal pay gap: Empirical evidence from China," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 228-244.
    17. Zhang, Yanan & Zhang, Xiaoyu, 2024. "Top management team functional diversity and ESG performance," Finance Research Letters, Elsevier, vol. 63(C).
    18. Weiwei Yang & Yingying Hei, 2024. "Research on the Impact of Enterprise ESG Ratings on Carbon Emissions from a Spatial Perspective," Sustainability, MDPI, vol. 16(9), pages 1-20, May.
    19. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    20. Hu, Xinwen & Hua, Renhai & Liu, Qingfu & Wang, Chuanjie, 2023. "The green fog: Environmental rating disagreement and corporate greenwashing," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).

    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:15:y:2023:i:16:p:12573-:d:1220288. 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.