The impact of China’s green credit policy on the innovation of manufacturing enterprises

This study empirically investigated the effects of green credit policies on corporate innovation in China, utilizing panel data for A-share listed manufacturing companies from 2008 to 2022. The analysis employed double-difference models, with the 2012 introduction of the Green Credit Guidelines treated as an exogenous shock. Green credit schemes were found to restrict innovation among more heavily-polluting enterprises. In terms of mechanisms, financial constraint effects outweighed the Porter effect , with heightened financial limitations imposed by green credit schemes driving the observed decrease in corporate innovation. Additionally, the degree of local financial development was found to strongly mediate how green credit policies impacted innovation-related investments, while government subsidies and internal investment levels exacerbated the negative effects of green credit schemes on innovation. Green credit-related declines in innovation within heavily polluting industries were exaggerated for privately owned versus state-owned enterprises. Similarly, technology-intensive enterprises, those operating in highly competitive markets, and those less-dependent on human labor also experienced greater reductions in innovation. Finally, green credit-related declines in innovation were most severe for enterprises located in the Central Region of China.

Authors

Institutions

Publication Details

Journal
Journal of Innovation & Knowledge
Published
2025-05-01
DOI
https://doi.org/10.1016/j.jik.2025.100714
Citations
12
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
37.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of China’s green credit policy on the innovation of manufacturing enterprises

Feng Qiu, Guanglin Sun, Shanshan Wu, Chengliangyi Xia
12 citations
Journal of Innovation & Knowledge
Energy, Environment, Economic Growth
37.57
article

The impact of China’s green credit policy on the innovation of manufacturing enterprises

Feng Qiu, Guanglin Sun, Shanshan Wu, Chengliangyi Xia
article en
12 citations

Abstract

This study empirically investigated the effects of green credit policies on corporate innovation in China, utilizing panel data for A-share listed manufacturing companies from 2008 to 2022. The analysis employed double-difference models, with the 2012 introduction of the Green Credit Guidelines treated as an exogenous shock. Green credit schemes were found to restrict innovation among more heavily-polluting enterprises. In terms of mechanisms, financial constraint effects outweighed the Porter effect , with heightened financial limitations imposed by green credit schemes driving the observed decrease in corporate innovation. Additionally, the degree of local financial development was found to strongly mediate how green credit policies impacted innovation-related investments, while government subsidies and internal investment levels exacerbated the negative effects of green credit schemes on innovation. Green credit-related declines in innovation within heavily polluting industries were exaggerated for privately owned versus state-owned enterprises. Similarly, technology-intensive enterprises, those operating in highly competitive markets, and those less-dependent on human labor also experienced greater reductions in innovation. Finally, green credit-related declines in innovation were most severe for enterprises located in the Central Region of China.

Journal of Innovation & KnowledgeVol. 10(3)
Nanjing University of Finance and Economics (CN), Center of Hubei Cooperative Innovation for Emissions Trading System (CN), Duke Kunshan University (CN), Chinese Academy of International Trade and Economic Cooperation (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Energy, Environment, Economic Growth
37.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.