The impact of ESG performance on the perception of economic policy uncertainty: Evidence from China
Rui Long and
Zhaobin Fan
Economic Analysis and Policy, 2025, vol. 85, issue C, 1456-1474
Abstract:
In the context of escalating economic policy uncertainty and a growing focus on firm ESG practices in China, this study investigates the impact of firms’ ESG performance on their perception of economic policy uncertainty (EPU). The empirical analysis draws on the data from the listed companies in China over the period 2009–2022. The results reveal that enhancing ESG performance can significantly mitigating firms’ EPU perception through strengthening internal control, stabilizing external financing, and improving supply chain resilience. Moreover, this study suggests that the effect of ESG performance is particularly pronounced among firms situated in less marketized regions and those with weak market power. Further analysis finds an increasing marginal impact of ESG performance on firms’ perceived EPU, and suggests a positive correlation between reduced EPU perception and increased investment expenditure within firms, particularly focusing on the implementation of long-term growth strategies.
Keywords: ESG performance; Economic policy uncertainty; Firm perception; China (search for similar items in EconPapers)
JEL-codes: D21 G18 G3 M14 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592625000372
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:85:y:2025:i:c:p:1456-1474
DOI: 10.1016/j.eap.2025.02.008
Access Statistics for this article
Economic Analysis and Policy is currently edited by Clevo Wilson
More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().