Green Finance and Low-Carbon Economic Development: Moderating Roles of Green Technology Innovation and Government Intervention in China
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Abstract
Using balanced panel data for 30 Chinese provinces from 2005 to 2022, this study investigates the impact of green finance (GF) on low-carbon economic development (LCE), with particular attention to the moderating roles of green technology innovation (GTI) and government intervention intensity (GII). A two-way fixed effects model is employed to control for regional heterogeneity and time effects. The results show that GF significantly promotes LCE. Moreover, GTI strengthens the positive effect of GF on LCE, whereas GII weakens this relationship, indicating that excessive government intervention may reduce the effectiveness of GF in supporting low-carbon development. These findings remain robust across alternative specifications and measurements, and provide policy implications for improving green financial systems and advancing low-carbon transitions in emerging economies.
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Cite This Article
TY - JOUR AU - Zhang, Mengdie PY - 2026 DA - 2026/03/04 TI - Green Finance and Low-Carbon Economic Development: Moderating Roles of Green Technology Innovation and Government Intervention in China JO - Journal of Social Systems and Policy Analysis T2 - Journal of Social Systems and Policy Analysis JF - Journal of Social Systems and Policy Analysis VL - 3 IS - 2 SP - 55 EP - 68 DO - 10.62762/JSSPA.2026.563767 UR - https://www.icck.org/article/abs/jsspa.2026.563767 KW - green finance KW - low-carbon economic development KW - green technology innovation KW - government intervention AB - Using balanced panel data for 30 Chinese provinces from 2005 to 2022, this study investigates the impact of green finance (GF) on low-carbon economic development (LCE), with particular attention to the moderating roles of green technology innovation (GTI) and government intervention intensity (GII). A two-way fixed effects model is employed to control for regional heterogeneity and time effects. The results show that GF significantly promotes LCE. Moreover, GTI strengthens the positive effect of GF on LCE, whereas GII weakens this relationship, indicating that excessive government intervention may reduce the effectiveness of GF in supporting low-carbon development. These findings remain robust across alternative specifications and measurements, and provide policy implications for improving green financial systems and advancing low-carbon transitions in emerging economies. SN - 3068-5540 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Zhang2026Green,
author = {Mengdie Zhang},
title = {Green Finance and Low-Carbon Economic Development: Moderating Roles of Green Technology Innovation and Government Intervention in China},
journal = {Journal of Social Systems and Policy Analysis},
year = {2026},
volume = {3},
number = {2},
pages = {55-68},
doi = {10.62762/JSSPA.2026.563767},
url = {https://www.icck.org/article/abs/jsspa.2026.563767},
abstract = {Using balanced panel data for 30 Chinese provinces from 2005 to 2022, this study investigates the impact of green finance (GF) on low-carbon economic development (LCE), with particular attention to the moderating roles of green technology innovation (GTI) and government intervention intensity (GII). A two-way fixed effects model is employed to control for regional heterogeneity and time effects. The results show that GF significantly promotes LCE. Moreover, GTI strengthens the positive effect of GF on LCE, whereas GII weakens this relationship, indicating that excessive government intervention may reduce the effectiveness of GF in supporting low-carbon development. These findings remain robust across alternative specifications and measurements, and provide policy implications for improving green financial systems and advancing low-carbon transitions in emerging economies.},
keywords = {green finance, low-carbon economic development, green technology innovation, government intervention},
issn = {3068-5540},
publisher = {Institute of Central Computation and Knowledge}
}
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