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Green Finance Evaluation Based on Neural Network Model
1School of Economics and Management, Huzhou College, Huzhou, Zhejiang 313000, China.
Computational Intelligence and Neuroscience
|August 29, 2022
Summary
This study develops a green finance evaluation system using the Analytic Hierarchy Process (AHP). Urban green finance growth is linked to environmental businesses, capital efficiency, and government support.
Area of Science:
- Environmental Economics
- Urban Planning
- Financial Systems
Background:
- Green finance is crucial for sustainable urban development.
- Existing evaluation systems may lack comprehensiveness.
- Understanding drivers of urban green finance is essential.
Purpose of the Study:
- To establish a robust evaluation system for urban green finance.
- To identify key indicators influencing green finance growth.
- To provide actionable recommendations for policy and practice.
Main Methods:
- Utilized the Analytic Hierarchy Process (AHP) to determine indicator weights.
- Constructed a hierarchical evaluation index system.
- Analyzed scoring outcomes and changes across multiple cities.
Main Results:
- Urban green finance growth strongly correlates with environmental protection business development.
- Efficient capital allocation and governmental/social capital support are significant drivers.
- Consumption regulation also demonstrates a notable impact on green finance.
Conclusions:
- The proposed AHP-based system offers a more thorough and reasonable evaluation framework.
- Key factors for fostering urban green finance include environmental industry growth, capital efficiency, and supportive policies.
- Targeted interventions in these areas can accelerate sustainable urban financial development.
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