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Research On P2P Industry Supervision And Credit System In China

Posted on:2017-05-29Degree:MasterType:Thesis
Country:ChinaCandidate:Y H SunFull Text:PDF
GTID:2209330485986791Subject:Human Geography
Abstract/Summary:PDF Full Text Request
P2P(peer to peer) network lending industry is a good investment and financial services supplement traditional financial model.It provides a new growth point for the development of China’s financial industry.At the same time this industry is the fastest growing one in Internet financial industry.The volume of transaction in this industry in 2015 increased by 288.57%,the highest level in history.However, the rapid development of the industry has created many problems, such as problems have been the downfall of the platform, run away investors, funds can not be recovered, not only hindered the sustainable development of the industry itself, and endanger social stability. In this case, the state and the government began widespread concern development issues of P2 P industry. Therefore, this article in-depth analysis of P2 P industry development status and problems based on the evolution of the game were established policy model P2 P industry regulatory policies and funding human behavior, by solving Evolutionary Equilibrium, to determine the optimal P2 P industry regulation and funding of human behavior strategy.In this paper, evolutionary game theory and methods were explored P2 P platforms regulatory policies and funding human behavioral strategies, research more comprehensive and objective. Evolutionary game theory assumptions are limited rationality, in line with real-life individual rational degree. At the same evolutionary game theory assumes that individuals and policy choice behavior similar to the process of biological evolution is gradual, continuous learning process, and this process is very similar to the reality of individual activities. During the study, construct the payoff matrix, calculate the expected benefits of different strategies to select the next and into the replicator dynamics equation, by solving the ESS, determine the policy choice of a balanced state, the P2 P platform in the choice of whether to accept the supervision and financing in their choice whether the breach of contract during the last stable state revenue maximization achieved so groups.Paper selected in the analysis of P2 P platforms regulatory policy four cost-income economic factors, namely the existing income, revenue increased 1 selection policy, revenue reduced 1 selection policy and benefits reduction selection Strategy 2. Evolutionary game model analysis showed that the early development of the level of the industry platform willingness to accept the supervision determines the future development of the industry to accept supervision.At the time of this analysis P2 P platform fundraiser behavioral strategies in selecting the four economic factors, taking into account the uncertainty of funding human behavior, an increase of two non-economic factors, namely credibility benefits 1 selection policy andcredibility reduction 2 selection policy. On six factors of evolutionary game model analysis results it should be pointed out that by increasing the cost of financing defaults and compliance benefits that stable funding eventually choose covenant of good development trend. Meanwhile,construction paper ideas and methods P2 P credit system were discussed, based on the current situation and the specific construction of credit system were focused on the analysis.Finally, this paper concludes the paper, based on the combination of P2 P industry development status and China’s actual proposed that the Government should strengthen industry regulation and increase penalties for violations and improve compliance behavior incentives,improve the credit history with the credit assessment of the proportion of and strengthen the credit system standardization of policy recommendations.
Keywords/Search Tags:P2P network lending platform, Supervision, Credit System, Evolutionary Game Theory
PDF Full Text Request
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