An evolutionary analysis of green finance sustainability based on multi-agent game

By He-rui Cui, Ruoyao Wang, Haoran Wang. 2020

228 citations recorded by the source corpus.

Abstract Green finance development, which enhances innovation capacity and economic green transformation, helps people deal with the challenges of climate change, ecological crisis and energy security. It is important to achieve sustainable and balanced development for green finance. In this paper, an evolutionary game model is built with four participants, which include governments, financial institutions, enterprises, and consumers. Analogue simulation is applied to analyze the influences of each parameter on changes and development in green financial market. Equilibrium strategy and influence mechanism of participating entities are investigated. The result shows that: first, the integrity of the green financial system has a positive impact on sustainability developments and cleaner production. Second, it is critical to strengthen the government regulation, slash financial institutions and enterprises’ green finance production cost, increase the compensation for consumer pollution, and reduce the supervision cost of government. Accordingly, to integrity green financial system, governments, financial institutions, enterprises, and consumers needs participation and cooperation among each other.

Subfields: Economics and Econometrics, Information Systems, Marketing

View Paper: https://www.semanticscholar.org/paper/6628fa0965810ace9c2701327fa612af406aec58

Citations in the corpus

• Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research (2022, unknown): “…they are supported by formal and information institutions as they play an important role to increase its supply as well as consumer and corporate investors’ awareness, understanding, and demand of the benefits and costs of such financing and investing options in financial markets (Cui et al., 2020).”