This paper specifically underscores the disparities among various ESG rating systems in China, highlighting their varied interpretations and emphasis on corporate financial factors. Analyzing data on Chinese listed firms from 2009-2022, we observe that while company size and leverage ratio uniformly correlate with ESG scores across rating agencies such as Bloomberg, Huazheng, Wind, and Hexun, the influence of factors like return on assets, cash flow, company age, and Tobin's Q is markedly inconsistent among these agencies. For instance, while operational cash flow and company age are positively associated with ESG ratings from Bloomberg, Huazheng, and Wind, they hold an inverse relationship with Hexun's ratings. This divergence underscores the unique data collection, weighting, and evaluation methodologies employed by each rating system. The study emphasizes the criticality of comprehending the nuances of each rating agency's approach when interpreting ESG scores and crafting ESG strategies. Moreover, it advocates for integrating insights from multiple rating systems to cater to the diverse expectations of stakeholders.
National Natural Science Foundation of China (72371256)
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the Excellent Young Team Project Natural Science Foundation of Guangdong Province of China (2023B1515040001)
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Tianjin Foreign Studies University (2022YJ5092)
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ACS Style
Zhu, C.; Yang, C. Divergences among ESG rating systems: Evidence from financial indexes. Economic Analysis Letters, 2024, 3, 48. https://doi.org/10.58567/eal03010006
AMA Style
Zhu C, Yang C. Divergences among ESG rating systems: Evidence from financial indexes. Economic Analysis Letters; 2024, 3(1):48. https://doi.org/10.58567/eal03010006
Chicago/Turabian Style
Zhu, Conghao; Yang, Cunyi 2024. "Divergences among ESG rating systems: Evidence from financial indexes" Economic Analysis Letters 3, no.1:48. https://doi.org/10.58567/eal03010006
APA style
Zhu, C., & Yang, C. (2024). Divergences among ESG rating systems: Evidence from financial indexes. Economic Analysis Letters, 3(1), 48. https://doi.org/10.58567/eal03010006
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