Emission trading policy and firm-level carbon disclosure in China: Unveiling the potential of market-based environmental regulation
Wei Li,
Yuanyuan Man,
Jianing Liu,
Yongda He and
Yang Hu
Research in International Business and Finance, 2025, vol. 79, issue C
Abstract:
Corporate compliance with environmental obligations and the cultivation of reputations are intricately tied to the effectiveness of carbon disclosure. The emission trading policy, as a market-based environmental regulatory tool, has the potential to influence the micro-level environmental behavior of businesses. Focusing on China's heavily polluting industries, we employ the double machine learning (DML) method to investigate the impact and mechanisms of market-based environmental regulations on firm-level carbon disclosure in this study. The results demonstrate a significant positive effect of market environmental regulations on voluntary carbon information disclosure, particularly in the realm of low-carbon strategic disclosure. This effect is notably strengthened with increased levels of corporate green innovation and enhanced market competitiveness. Furthermore, the findings from the analysis of heterogeneity highlight the significance of accounting for differences in environmental governance pressure, industry structure, and executive environmental awareness when formulating targeted policy implications.
Keywords: Market-based environmental regulation; Corporate carbon disclosure; China; Double machine learning method (search for similar items in EconPapers)
JEL-codes: C31 G28 M14 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:79:y:2025:i:c:s0275531925003381
DOI: 10.1016/j.ribaf.2025.103082
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