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Evolutionary Game Analysis Of Green Financial Market Subjects

Posted on:2021-07-13Degree:MasterType:Thesis
Country:ChinaCandidate:R Y WangFull Text:PDF
GTID:2480306452463904Subject:Finance
Abstract/Summary:PDF Full Text Request
With the increasing support of ecological environment to economic growth,the contradiction between economy and environment becomes more and more obvious,and ecological problems have hindered the further development of China's economy.By striking a balance between economic development and ecological environment,we aim to seek coordinated development between the financial industry and environmental protection and generate "green finance".On the one hand,green financial projects can generate good economic benefits;on the other hand,the mechanism of green financial market in China is not perfect,and the interests of all participants in the market are not balanced.Therefore,the key to developing green financial is to fully coordinate the relations among four participants,including government,financial institutions,enterprises and consumers.So it is imperative to study market multi-players on green financial development.Firstly,this paper introduces the research background and the significance of the subject on the cooperation of the participants in the green financial market,and focuses on the analysis of domestic and foreign scholars' research on the subject and its game theory in the development of the green financial market Then,it shows the economic,technological,social and policy backgrounds of the green financial market in China,and introduces the subject,object and media of the green financial market in detail.It also points out the problems faced by the cooperation of green financial subjects in China: the standards of green financial products are not uniform;the choice of green finance products is single;the initial investment cost is high and the professional skills are absence;imperfect legal and regulatory system of green finance.Secondly,to ensure the good operation and development of green financial market,this paper uses the evolutionary game method to build evolutionary game model of government,financial institutions,enterprises,government,enterprises and consumers respectively,we can get the corresponding payment matrix,and then analyze the evolutionary game strategy of the participants in the green financial market respectively.According to the results of the replication dynamic equation of Eight equilibrium points,and the analysis shows that the green financial market in China will eventually form a stable equilibrium situation in which the government chooses to encourage the development of green financial market,enterpr ises choose to produce green production,financial institutions choose to provide green innovative financial services to support the green development of enterprises,and consumers choose to buy green products.Thirdly,in different evolutionary game scenarios,MATLAB will be used to generate simulation,and this paper studies the Pareto optimal dynamic game process of green financial market subject from conflict and coordination of different interest demands to win-win cooperation of all parties,and then analyzes the influence impact of each parameter on the evolution path of green financial market development and the stable equilibrium strategy of participants.Finally,the greater the government regulation is,the lower the cost of financial institutions and enterprises can make,especially in put green projects in place and the higher the consumer pollution compensations are,the more conducive to the convergence of market entities in the balanced and stable state of green financial transformation can make.Finally,the paper puts forward relevant suggestions and countermeasures from four perspectives including government,financial institutions,enterprises and consumers,which will contribute to the formation of a sound green financial system,and provid e the strong support for the construction of a resource-saving and environment-friendly society.
Keywords/Search Tags:green financial, micro participants, evolutionary game, simulation
PDF Full Text Request
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