Chinese Journal of Management Science ›› 2021, Vol. 29 ›› Issue (11): 134-145.doi: 10.16381/j.cnki.issn1003-207x.2019.1007
• Articles • Previous Articles
DENG Chun-sheng
Received:
2019-07-09
Revised:
2019-12-04
Published:
2021-11-22
Contact:
邓春生
E-mail:dengchunsheng@163.com
CLC Number:
DENG Chun-sheng. Three-Party Evolutionary Game Analysis of P2P Network Lending Based on Nonlinear System Stability Theory[J]. Chinese Journal of Management Science, 2021, 29(11): 134-145.
[1] 福建南平银监分局课题组, 陈树福. P2P网络借贷监管的效益与路径——基于演化博弈论视角的研究[J]. 金融监管研究, 2014(7): 23-39.Research Group of Fujian Nanping Banking Regulatory Bureau, Chen Shufu. Benefits and paths of P2P network lending supervision——A research based on the perspective of evolutionary game theory[J]. Financial Regulation Research, 2014(7): 23-39. [2] 郭本海, 王涵. 多方博弈情景下我国自主品牌轿车价值重构问题研究[J]. 中国管理科学, 2018, 26(10):140-150.Guo Benhai, Wang Han. Research on the value reconstruction of China’s self-owned brand cars under the multi-party game[J]. ChineseJournal of Management Science, 2018, 26(10): 140-150. [3] 韩景倜, 陈群. 不确定条件下P2P网贷平台运营与政府监管演化博弈稳定性分析[J]. 商业研究, 2016(3): 36-43.Han Jingqi, Chen Qun. Analysis on the evolutionary game stability of P2P online loan platform operation and government supervision under uncertain conditions[J]. Commercial Research, 2016(3): 36-43. [4] 胡寿松. 自动控制原理(第五版)[M]. 北京: 科学出版社, 2007.Hu Shousong. Principles of Automatic Control (5th Edition)[M]. Beijing: Science Press, 2007. [5] 李昌荣, 胡斐斐, 毛顺标. 借款人在P2P小额贷款市场中的信用行为——基于博弈论的分析[J]. 南方金融, 2015(9): 28-34.Li Changrong, Hu Feifei, Mao Shunbiao. The credit behavior of borrowers in the P2P microfinance market——analysis based on game theory[J]. South China Finance, 2015(9): 28-34. [6] 刘伟, 夏立秋. 网络借贷市场参与主体行为策略的演化博弈均衡分析——基于三方博弈的视角[J]. 中国管理科学, 2018,26(5): 169-177.Liu Wei, Xia Liqiu. Evolutionary game equilibrium analysis of the behavior strategies of participants in the internet lending market——Based on the perspective of tripartite game[J]. ChinaJournal of Management Science, 2018,26(5): 169-177. [7] 全颖, 杨大光, 郑策. 基于逆向剪枝模型的P2P网络借贷平台进退分析[J]. 企业经济, 2017,36(4): 82-86.Quan Ying, Yang Daguang, Zheng Ce. Analysis of the advance and retreat of P2P network lending platform based on the reverse pruning model[J]. Enterprise Economy, 2017,36(4): 82-86. [8] 谭中明, 马庆, 谭璇. P2P网贷主体信用关系刻画、信用风险生成与博弈行为——基于网贷行业生态圈视角的研究[J]. 西南金融, 2018, 447(10):47-53.Tan Zhongming, Ma Qing, Tan Xuan. P2P online lending subject credit relationship characterization, credit risk generation and game behavior——A study based on the perspective of the online lending industry ecosystem[J]. South China Finance, 2018, 447(10): 47-53. [9] 王舞宇, 章宁. P2P网贷平台违规经营及政府监管的机会主义行为演化博弈分析[J]. 企业经济, 2018, 37(10): 165-174.Wang Wuyu, Zhang Ning. Evolutionary game analysis of opportunistic behaviors of illegal operation of P2P online lending platforms and government supervision[J]. Enterprise Economy, 2018, 37(10): 165-174. [10] 吴洁, 车晓静, 盛永祥等. 基于三方演化博弈的政产学研协同创新机制研究[J]. 中国管理科学, 2019,27(1): 162-173.Wu Jie, Che Xiaojing, Sheng Yongxiang, etc. Research on the collaborative innovation mechanism of government, industry, university and research institute based on tripartite evolutionary game[J]. China Journal of Management Science, 2019,27(1): 162-173. [11] 文学舟, 樊彩云. 信用担保介入对小微企业P2P网络融资行为的影响[J]. 商业研究, 2016(11): 1-7.Wenxue Zhou, Fan Caiyun. The influence of credit guarantee intervention on P2P network financing behavior of small and micro enterprises[J]. Commercial Research, 2016(11): 1-7. [12] 于博. P2P网络借贷:交易决策、风险传导与监管策略——文献综述与研究反思[J]. 中央财经大学学报, 2017(10): 23-34.Yu Bo. P2P Network Lending: Transaction decisions, risk transmission and regulatory strategies: literature review and research reflections[J]. Journal of Central University of Finance & Economics, 2017(10): 23-34. [13] 张文远, 邢航. 基于进化博弈的P2P平台与投资人的行为及仿真分析[J]. 统计与决策, 2018,34(8): 52-55.Zhang Wenyuan, Xing Hang. Behavior and simulation analysis of P2P platform and investors based on evolutionary game[J]. Statistics & Decision, 2018,34(8): 52-55. [14] 张海洋. 信息披露监管与P2P借贷运营模式[J]. 经济学(季刊), 2017,16(1):375-396.Zhang Haiyang. Information disclosure supervision and P2P lending operation model[J]. China Economic Quarterly, 2017,16(1):375-396. [15] 邹辉霞, 刘义. P2P网络借贷模式下的小微企业融资问题研究[J]. 商业研究, 2015, 57(2): 1-7.Zou Huixia, Liu Yi. Research on the financing of small and micro enterprises under the P2P network lending model[J]. Commercial Research, 2015, 57(2): 1-7. [16] Anresnani D, Widodo E, Syairuddin B. Modelling integration of system dinamics and game theory for of financial technology peer to peer lending industry[C]//International Mechanical and Industrial Engineering Conference 2018, IMIEC, 2018. [17] Gao Guangxin, Fan Zhiping, Fang Xin, et al. Optimal stackelberg strategies for financing a supply chain through online peer-to-peer lending[J]. European Journal of Operational Research, 2018, 267: 585-597. [18] Guo Yuangxin, Zhou Weijun, Luo Chunyu, et al. Instance-based credit risk assessment for investment decisions in P2P lending[J]. European Journal of Operational Research, 2016, 249(2): 417-426. [19] Huang, R H. Online P2P lending and regulatory responses in China: Opportunities and challenges[J]. European Business Organization Law Review, 2018, 19(1): 63-92. [20] Khalil H K, Grizzle J W. Nonlinear systems[M]. Upper Saddle River, NJ: Prentice hall, 2002. [21] Liu He, Qiao Han, Wang Shouyang, et al. Platform competition in peer-to-peer lending considering risk control ability[J]. European Journal of Operational Research, 2019, 274: 280-290. [22] Wei Zaiyan, Lin Mingfeng. Market mechanisms in online peer-to-peer lending[J]. Management Science, 2017, 63(12): 4236-4257. [23] Yum H , Lee B , Chae M . From the wisdom of crowds to my own judgment in microfinance through online peer-to-peer lending platforms[J]. Electronic Commerce Research & Applications, 2012, 11(5): 469-483. |
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