TY - JOUR
T1 - Climate policy uncertainty and ESG performance of energy firms
T2 - The moderating effect of cloud computing technology
AU - Niu, Niu
AU - Zhang, Bin
AU - Song, Yanwu
AU - Boateng, Agyenim
N1 - Publisher Copyright:
© 2025
PY - 2025/12
Y1 - 2025/12
N2 - This study examines the impact of climate policy uncertainty (CPU) on the environmental, social, and governance (ESG) performance of energy firms, as well as the moderating role of cloud computing technology (CCT). Building on an integrated theoretical framework that combines resource dependence and dynamic capability perspectives, we conceptualize CPU as a dual-pressure that constrains both risk and resource access. Our findings show that CPU deteriorates ESG performance by increasing external risks and limiting resource access. However, energy firms with higher CCT adoption exhibit greater resilience to CPU, sustaining ESG investments in the face of CPU. Additional heterogeneity analyses indicate that the negative impact of CPU on ESG performance is especially acute among non-state-owned, smaller, and less resource-rich energy firms. This study extends existing theory by integrating resource dependence and dynamic capability perspectives into a unified framework. The findings underscore the strategic importance of CCT in maintaining ESG performance amid policy uncertainty, providing practical guidance for managers and policymakers.
AB - This study examines the impact of climate policy uncertainty (CPU) on the environmental, social, and governance (ESG) performance of energy firms, as well as the moderating role of cloud computing technology (CCT). Building on an integrated theoretical framework that combines resource dependence and dynamic capability perspectives, we conceptualize CPU as a dual-pressure that constrains both risk and resource access. Our findings show that CPU deteriorates ESG performance by increasing external risks and limiting resource access. However, energy firms with higher CCT adoption exhibit greater resilience to CPU, sustaining ESG investments in the face of CPU. Additional heterogeneity analyses indicate that the negative impact of CPU on ESG performance is especially acute among non-state-owned, smaller, and less resource-rich energy firms. This study extends existing theory by integrating resource dependence and dynamic capability perspectives into a unified framework. The findings underscore the strategic importance of CCT in maintaining ESG performance amid policy uncertainty, providing practical guidance for managers and policymakers.
KW - Climate policy uncertainty
KW - Cloud computing technology
KW - Energy firms
KW - ESG performance
UR - http://www.scopus.com/pages/publications/105017979876
U2 - 10.1016/j.irfa.2025.104674
DO - 10.1016/j.irfa.2025.104674
M3 - Article
AN - SCOPUS:105017979876
SN - 1057-5219
VL - 108
JO - International Review of Financial Analysis
JF - International Review of Financial Analysis
M1 - 104674
ER -