Investigating Factors Influencing Regional Green Innovation Based on the Grouping Perspective

Ye Yang; Yanfeng Cong

doi:10.54097/6ygmsp87

Authors

Ye Yang
Yanfeng Cong

DOI:

https://doi.org/10.54097/6ygmsp87

Keywords:

Digital Intelligence Policy, Regional Green Innovation, Fuzzy-set Qualitative Comparative Analysis.

Abstract

Amid global climate change, regional green innovation plays a pivotal role in sustainable development. This study employs Fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze 2022 Chinese provincial data, investigating how digital intelligence policies (digitalization and intelligence) drive green innovation. Key findings: (1) No single policy condition alone ensures high green innovation; (2) Digital attention is a core necessity for high innovation, while insufficient digital talent policy, government R&D funding, and IT infrastructure underpin low innovation; (3) High innovation requires synergies among digital attention, talent policies, and R&D budgets; (4) Non-high innovation stems from imbalances among these factors. The study offers configurational insights for optimizing green innovation strategies.

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