The relationship between ESG ratings and digital technological innovation in manufacturing: Insights via dual machine learning models

Bai Yang, Jingfeng Huang and Yinzhong Chen

Finance Research Letters, 2025, vol. 71, issue C

Abstract: In the era of the current scientific and technological revolution and industrial transformation, digital technology innovation serves as a critical driver for the high-quality development of manufacturing enterprises. The dual attributes of ESG (Environmental, Social, and Governance) ratings, encompassing "internal governance" and "external support," play a pivotal role in propelling digital technology innovation within these enterprises. This study utilizes a dual machine learning approach to empirically investigate the influence of ESG ratings on the digital technology innovation of manufacturing enterprises and explores the underlying mechanisms. Findings indicate that ESG ratings significantly boost digital technology innovation by alleviating financial market constraints, enhancing customer stability in the product market, elevating human resource levels, and increasing innovation awareness and efficiency. These improvements occur through the mechanisms of "external support" and "internal governance." Moreover, the study reveals that ESG ratings substantially enhance digital technology innovation in state-owned and high-tech manufacturing enterprises, in contrast to their limited impact on non-state-owned and non-high-tech counterparts. Conclusively, the paper proposes policy recommendations focused on heightening enterprise and societal awareness of ESG importance, intensifying supervision and enforcement, and refining the ESG rating system.

Keywords: ESG rating; Digital technology innovation; Dual machine learning models; Sustainable development (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:71:y:2025:i:c:s1544612324013916

DOI: 10.1016/j.frl.2024.106362

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