ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
This article is part of the Research TopicSocial-Ecological Urban Transformation for Climate Resilience: Interdisciplinary Perspectives and InnovationsView all 3 articles
From scale to substance: How green credit policy execution and "purity" reshape regional innovation
Provisionally accepted- School of Economics, Beijing Institute of Technology, Beijing, China
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China's green credit system has expanded dramatically, yet substantial heterogeneity in local policy implementation raises questions about its effectiveness in spurring environmental innovation. This paper introduces the novel concept of "Green Credit Purity"—the proportion of green credit flowing to genuinely environmental projects—to examine how policy implementation intensity and allocation quality jointly determine innovation outcomes. Using panel data covering 1,600 firms across 280 prefecture-level cities from 2010–2022, we employ fixed effects, spatial Durbin models, and instrumental variables to establish causal relationships. We find that a one-standard-deviation increase in local Green Credit Policy Implementation Intensity (GCPI) generates a 2.1% increase in firm-level green patents and 3.3 percentage points improvement in regional Green Total Factor Productivity. Crucially, firms with high credit purity achieve 68% larger innovation responses than those engaging in "greenwashing." Spatial analysis reveals positive spillovers equivalent to 40% of direct effects, while threshold regression identifies a critical point (GCPI = 0.416) beyond which policy stringency triggers firm relocation. These findings demonstrate that green credit effectiveness depends critically on both implementation intensity and allocation quality, with implications for designing environmental finance policies that balance local stringency with regional coordination to maximize genuine innovation while minimizing regulatory arbitrage.
Keywords: green credit, allocation quality, green innovation, Green total factor productivity, Spatial spillovers
Received: 29 Sep 2025; Accepted: 25 Nov 2025.
Copyright: © 2025 Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shuangquan Yang
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