Author(s)

Sisi Zhang ¹, Guannan Zhou ¹, Miaozhen Ye ¹, Zixin Fu ¹, Weican Jia ¹

Affiliation(s)

¹ School of Management, Qufu Normal University, Rizhao, China

Corresponding Author

Sisi Zhang

ABSTRACT

This study aims to analyze the impact of digital transformation and green innovation technology on the environmental, social and governance (ESG) performance of new energy companies based on a benchmark regression model. Based on the data of 552 new energy listed firms in China's Shanghai and Shenzhen markets between 2013 and 2023, this paper uses a benchmark regression model to conduct an empirical analysis to explore how digital transformation promotes firms' ESG performance and to examine the mediating role of green technology innovation in it. By examining whether new energy firms undergoing digital transformation can promote corporate ESG performance, the results show that digital transformation significantly enhances the ESG performance of new energy firms, a finding that still holds after the robustness test. In addition, digital transformation further enhances firms' ESG performance by accelerating green technology innovation.

KEYWORDS

ESG performance of new energy companies, benchmark regression model, digital transformation, robustness test

CITE THIS PAPER

Sisi Zhang, Guannan Zhou, Miaozhen Ye, Zixin Fu, Weican Jia, Corporate ESG Performance Analysis Based on Benchmark Regression Models. Transactions on Computational and Applied Mathematics (2024) Vol. 4: 154-159. DOI: http://dx.doi.org/10.23977/tracam.2024.040120.

REFERENCES

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[6] Ming Liu, Yanling Song. Robustness testing methods in empirical research in economics-an interpretation based on the perspective of test logic [J]. Statistics and Decision Making, 2023, 39(12): 45-50. DOI: 10.13546/j. cnki.tjyjc. 2023.12.008.

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