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Analyzing the dynamic relationship between ESG scores and firm value in Chinese listed companies: insights from generalized cross-lagged panel model

Wedajo, Abel Dula; Salah, Abdullah Abdulaziz; Bhat, Mohd. Abass; Iqbal, Robina; Khan, Shagufta Tariq

Authors

Abel Dula Wedajo

Abdullah Abdulaziz Salah

Mohd. Abass Bhat

Shagufta Tariq Khan



Abstract

The relationship between a company’s Environment, Social and Governance (ESG) scores and market value dynamics has been the focus of extensive research. Our study aimed to provide insights into this relationship and its implications for Chinese investors. We used a general Cross-lagged panel model to analyze data from 652 Chinese-listed companies from 2013 to 2019. Our findings indicate that ESG scores have a long-term impact on market value, with a consistently positive correlation between the two. We also discovered that Chinese investors consider ESG factors when evaluating a company’s financial health. Companies that prioritize ESG factors are more likely to attract investment. Moreover, the diffusion of ESG information happens slowly, and past ESG performance influences future ESG performance. Thus, maintaining good ESG performance is crucial for long-term sustainability and success. In addition, our analysis reveals significant insights into the interplay between ESG metrics and mandatory disclosure regulations. Specifically, we find that the interaction between average ESG score and mandatory disclosure significantly impacts firm value, suggesting a nuanced relationship between ESG performance and market valuation in the context of regulatory requirements. Overall, our study highlights the importance of considering ESG factors when evaluating financial health and making investment decisions, providing valuable insights for firms and investors alike.

Citation

Wedajo, A. D., Salah, A. A., Bhat, M. A., Iqbal, R., & Khan, S. T. (in press). Analyzing the dynamic relationship between ESG scores and firm value in Chinese listed companies: insights from generalized cross-lagged panel model. Discover Sustainability, 5(1), Article 336. https://doi.org/10.1007/s43621-024-00546-2

Journal Article Type Article
Acceptance Date Oct 7, 2024
Online Publication Date Oct 17, 2024
Deposit Date Oct 21, 2024
Publicly Available Date Oct 21, 2024
Journal Discover Sustainability
Electronic ISSN 2662-9984
Publisher Springer Nature [academic journals on nature.com]
Peer Reviewed Peer Reviewed
Volume 5
Issue 1
Article Number 336
DOI https://doi.org/10.1007/s43621-024-00546-2
Public URL https://keele-repository.worktribe.com/output/952894
Publisher URL https://link.springer.com/article/10.1007/s43621-024-00546-2

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Licence
https://creativecommons.org/licenses/by-nc-nd/4.0/

Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material.






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