Research on the Construction and Optimization of the Legal Regulatory System of Green Finance
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i5.4537
Abstract
Based on the dynamic stochastic general equilibrium (DSGE) model and system dynamics assessment, this paper portrays the nonlinear impact of legal regulation on the development of green finance, and constructs an entropy model and an intelligent optimization algorithm to achieve dynamic equilibrium of regulatory intensity, market response and environmental benefits. Reasonable regulatory intensity can enhance the efficiency of green credit investment, optimize the green investment decision of enterprises, and reduce the market lag risk. Meanwhile, the intelligent optimization algorithm improves the adaptability of policy implementation, increasing regulatory efficiency by 19.6% and environmental benefits by 14.2%. The robustness assessment shows that the current legal regulatory system is highly stable, but the market response mechanism still needs to be improved.
Keywords
green finance; legal regulation; dynamic equilibrium; intelligent optimization; policy evaluation
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