Research on the Effectiveness of China's Green Finance Policy Synergy under the “Dual Carbon”?

The synergy research in green finance policies is of significant importance for achieving carbon peak and neutrality goals and for advancing the sustainable development of green finance in China.This study constructs a”Synergy-Attribute-Tool”analytical framework for green finance policies based on the theory of policy synergy. It employs text similarity algorithms based on machine learning and a systemic coupling synergy model.The study differentiates various methods of policy synergy and quantitatively analyzes the central and local green finance policies from 2016 to 2022 across multiple dimensions. The findings are as follows: The levels of vertical, horizontal,and coupled synergy in China's green finance policies have gradually increased, but the overall intensity is still relatively low. Regionally,the three-dimensional synergy of green finance policies in China shows regional disparities. In terms of policy types, central and local green finance policies exhibit diversity. Regarding policy tools,there is an imbalance in the structure of policy tools used by central and local governments, with a higher use of supply-type and environmental-type policy tools,but less use of demand type tools. Therefore, to enhance the effectiveness of China's green finance policies,further optimization of the multidimensional synergy mechanism of green finance policies is necessary.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1145/3729706.3729740
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

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Research on the Effectiveness of China's Green Finance Policy Synergy under the “Dual Carbon”?

M. Zhang
Energy, Environment, Economic Growth
article

Research on the Effectiveness of China's Green Finance Policy Synergy under the “Dual Carbon”?

M. Zhang
article en

Abstract

The synergy research in green finance policies is of significant importance for achieving carbon peak and neutrality goals and for advancing the sustainable development of green finance in China.This study constructs a”Synergy-Attribute-Tool”analytical framework for green finance policies based on the theory of policy synergy. It employs text similarity algorithms based on machine learning and a systemic coupling synergy model.The study differentiates various methods of policy synergy and quantitatively analyzes the central and local green finance policies from 2016 to 2022 across multiple dimensions. The findings are as follows: The levels of vertical, horizontal,and coupled synergy in China's green finance policies have gradually increased, but the overall intensity is still relatively low. Regionally,the three-dimensional synergy of green finance policies in China shows regional disparities. In terms of policy types, central and local green finance policies exhibit diversity. Regarding policy tools,there is an imbalance in the structure of policy tools used by central and local governments, with a higher use of supply-type and environmental-type policy tools,but less use of demand type tools. Therefore, to enhance the effectiveness of China's green finance policies,further optimization of the multidimensional synergy mechanism of green finance policies is necessary.

Beihang University (CN)
Chongqing University, Chongqing University of Posts and Telecommunications, Yunnan University, National Office for Philosophy and Social Sciences
Openalex Percentile: Top 78%
Energy, Environment, Economic Growth
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Research on the Effectiveness of China's Green Finance Policy Synergy under the “Dual Carbon”? — M. Zhang · (2025) | TGRS Research Map | TGRS