PurposeThis research examines the relationship between green innovation and firm performance, focusing on identifying the moderating effects of government subsidies and digital transformation R&D investments. The study aims to provide insights on how firms can leverage green innovation for enhanced performance while addressing potential drawbacks.Design/methodology/approachThis study adopts a mixed-methods approach, utilizing both analytical models and empirical analyses. It investigates the curvilinear relationship between green innovation and firm performance and explores the moderating roles of government subsidies and digital transformation R&D investments.FindingsThe findings reveal an inverted U-shaped relationship between green innovation and firm performance, indicating that initial investments in green innovation led to performance improvements, but beyond a certain point, the returns diminished. The study also finds that government subsidies and digital transformation R&D investments significantly enhance the positive impact of green innovation up to the optimal threshold and help mitigate negative effects.Practical implicationsThe research provides practical guidance for firms on managing their green innovation investments to maximize performance benefits. It also offers insights for policymakers on designing effective subsidies and support mechanisms to promote environmental sustainability and economic growth.Originality/valueThis study contributes to the literature by elucidating the complex relationship between green innovation and firm performance and highlighting the critical roles of government subsidies and digital transformation R&D investments. It offers valuable implications for businesses seeking to balance environmental and economic objectives and policymakers aiming to foster sustainable and profitable practices.
Maximizing green innovation: the impact of government subsidies and R&D in digital supply chains
Yang Bai,Xue Zhang,Dajiang Wang
Published 2024 in Kybernetes
ABSTRACT
PUBLICATION RECORD
- Publication year
2024
- Venue
Kybernetes
- Publication date
2024-07-03
- Fields of study
Business, Economics, Environmental Science, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
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