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Title Regional Green Innovation Path Selection in China's Complex Environment: An fsQCA Exploration
ID_Doc 34937
Authors Jin, YY; Ye, GY
Title Regional Green Innovation Path Selection in China's Complex Environment: An fsQCA Exploration
Year 2024
Published Polish Journal Of Environmental Studies, 33, 5
DOI 10.15244/pjoes/177762
Abstract Green innovation plays a critical role in attaining carbon neutrality and supporting high-quality economic development in China; however, its promotion remains challenging. Hence, this study uses asymmetric innovation theory and fuzzy-set qualitative comparative analysis (fsQCA) to explore the drivers of green innovation in China's complex regional environments. Using data from 30 Chinese provinces, it investigates the combined effects of factors at the market, institution, and technology levels on regional green innovation. The findings indicate the following. (1) R&D investment is necessary for high-level green innovation, whereas its absence is a necessary condition for low-level green innovation. (2) Three configurations produce high-level green innovation, and these configurations coalesce into demand-regulation-subsidy-technology-driven and competition-technology-driven paths. (3) Four configurations result in low-level green innovation, and the antecedent configurations of high-level and low-level green innovation have an asymmetric relationship. This study adds to the understanding of the causal configurations that promote green innovation and provides valuable insights for policymakers in China and other developing regions.
Author Keywords green innovation; asymmetric innovation theory; China; complex environment; fsQCA
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001260338900011
WoS Category Environmental Sciences
Research Area Environmental Sciences & Ecology
PDF https://www.pjoes.com/pdf-177762-111163?filename=Regional Green Innovation.pdf
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