The Collaborative Innovation Effect of ESG Signals: Integrating Signaling and Trust Theories
Ge Ren,
Ping Zeng and
Xi Zhong
Management and Organization Review, 2025, vol. 21, issue 1, 73-101
Abstract:
On the basis of signaling and trust theories, we explore the impact of focal firms’ environmental, social, and governance (ESG) performance on their collaborative innovation (co-innovation). We argue that high ESG performance serves as a positive signal that focal firms engage less in opportunistic behavior in the co-innovation process. This, in turn, makes it easier for focal firms to gain the trust of potential external innovation collaborators (collaborators) and ultimately increases the level of co-innovation in focal firms. Guided by signaling and trust theories, we further argue that heavy polluting firm attributes and historical co-innovation alter the impact of ESG signals on collaborators’ trust, which in turn leads to heterogeneity in the positive impact of ESG performance on firms’ co-innovation. Based on empirical data on A-share manufacturing companies listed in China from 2010 to 2021, we obtained empirical evidence to support the above theoretical arguments. This study provides new insights for a refined understanding of the innovation consequences of ESG performance and important implications for shareholders and policymakers to better encourage and guide firms in co-innovation.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
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:cup:maorev:v:21:y:2025:i:1:p:73-101_5
Access Statistics for this article
More articles in Management and Organization Review from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().