How Does the Green Innovation Ecosystem Shape Regional Sustainable Development?

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Authors: Shuai Zhang, Jie Peng, Zhongjuan Sun, Y Zhang
Cited by: 1
References: 49

Abstract

While green innovation ecosystems (GIEs) are recognized as catalysts for regional sustainable development (RSD), prior literature remains fragmented. This study uses fuzzy-set qualitative comparative analysis (fsQCA) on data from 30 Chinese provinces to explore how GIE elements interactively shape RSD, measured as green total-factor productivity (GTFP). Findings reveal that no single GIE element is necessary for RSD; instead, two pathways lead to high-level RSD: a technology–capital dual-core-driven pathway of ecological synergy, and a technology-dominated pathway under green finance constraints. Conversely, non-high-level RSD stems from the simultaneous absence of multiple GIE elements. This study shifts the lens from univariate determinism to ecosystem configurability, offering policy implications for regional sustainability transitions.

Fields of Study & Subjects

Qualitative Comparative Analysis Research Energy Environment Economic Growth University-Industry-Government Innovation Models

Publication details

Journal / source
Journal of Global Information Management
Publisher
IGI Global Scientific Publishing
Volume
34
Issue
1
Pages
1–19
Publication date
8 May 2026
Language
NG