Carbon risk and green transition: evidence from China

Front Public Health. 2024 Jan 30:11:1346145. doi: 10.3389/fpubh.2023.1346145. eCollection 2023.

Abstract

Carbon risk may have potential influences on the green transition of enterprises. This paper thoroughly investigates the effect and mechanism of carbon risk on the transition towards sustainability. We use quantitative regression models and a panel of Chinese manufactural listed companies from 2011-2020. There is strong evidence manifesting that the effect of carbon risk on corporate green transition is positive and statistically significant. The green transition is marked by the overall encouragement of exploratory, exploitable, autonomous, and collaborative green innovation. The mechanism test indicates that the enhancement of internal R&D transformation and the pressure of external stakeholders are two fundamental pathways by which carbon risk influences the green transition. Additional examination reveals that the beneficial impact is particularly noticeable for companies that have limited capital intensity, minimal governmental assistance, reduced financial limitations, and are state-owned enterprises. These results are robust to resolve the problem of endogeneity by means of instrumental variables, Heckman two-step, placebo test, propensity score matching and difference-in-difference ways. Against the background of carbon neutrality, it is of great significance to examine the relationship between carbon risk and corporate green transition. The conclusion complements the knowledge of carbon risk and green transition, as well as provides theoretical insights and practical enlightenment for the green transition of manufacturing enterprises in emerging economies.

Keywords: China; carbon risk; green transition; heterogeneity analysis; path mechanisms.

MeSH terms

  • Carbon*
  • China
  • Commerce*
  • Government

Substances

  • Carbon

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. We gratefully acknowledge the financial support from the National Social Science Fund of China, Grant/Award Number: 23BXW028.