Navigating the Carbon Crossroads: Climate Transition Risk and Carbon Emission Efficiency in China's Energy Enterprises
Year: 2025
Type: article
Abstract: Climate change acceleration and intensifying global carbon reduction efforts have created an urgent need to understand how climate transition risks affect carbon emission efficiency in energy enterprises. Our study breaks new ground by developing climate risk indicators through machine learning and textual analysis of Chinese A-share listed companies' annual reports (2016-2022). Employing the Super Efficiency SBM model, we explore the complex relationship between transition risk and emission efficiency. Results indicate that transition risk initially hampers efficiency, though we found that robust innovation capabilities can buffer these negative effects. Interestingly, heterogeneity tests reveal that impacts are particularly pronounced within the electricity industry. These findings contribute meaningful insights for environmental policy development while offering practical guidance to energy enterprises grappling with emission reduction challenges.
Source: Global NEST Journal
DOI: 10.30955/gnj.06858
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409569740