基于金融新科技的供应链金融机制设计与风险管理

Financial technology is constantly breaking the boundaries of the existing financial industry, profoundly changing the mode of operation of the financial industry.The internal mechanism of supply chain finance evolution, which is driven by financial tech, is analyzed in this topic. From the unique perspective of information division, this work studies the impact of financial technology on the internal mechanism of supply chain finance innovation and the supply chain financial industry organization model. This paper explores the optimal supply chain financial structure under different industrial supply chain financial platforms, and presents the design of operation mechanism of supply chain financial platform based on dynamic oligopoly models. Then, this article builds a risk management system that combines financial technology and supply chain management to build a structural paradigm for supply chain finance platform and product with minimum risk, minimum financing cost, and highest efficiency. The evolution mechanism is discussed via evolutionary game theory, and the operation mechanism of supply chain financial platform is designed via industrial organization theory. Relying on Stackelberg game, Nash game and supply chain contract optimization mechanism, the supply chain financial products with deep industrial background are designed. Taking the BP neural network, CVaR, Copula function, Logistic and default probability model, combining online algorithms and distributed software systems based on AI and cloud computing, and applying the financial technology mathematical logic based on big data and blockchain, a comprehensive system for the assessment, pricing, supervision and early warning of supply chain finance risk is established.

金融科技不断打破现有金融业边界，改变着金融业运作模式。本课题拟以供应链金融信息化分工独特视角为切入点，透析金融科技驱动下供应链金融创新内在机理，分析金融科技对供应链金融组织模式的影响；探讨不同产业供应链平台下最优供应链金融组织结构，提出基于动态寡头模型的供应链金融平台运行机制设计；构建金融科技与供应链管理结合的风险管理体系，搭建低风险、低融资成本、高效率的供应链金融平台与产品结构范式。拟采用演进博弈理论分析供应链金融创新演进机理；运用产业组织理论进行供应链金融平台运行机制设计；依托Stackelberg博弈、Nash博弈和供应链契约优化机制，深挖供应链金融产品设计原理；采取BP神经网络、CVaR、Copula函数、Logistic和违约概率模型，结合基于AI和云计算的在线算法和分布式软件系统，应用大数据和区块链为主的金融科技数理逻辑，建立综合控制供应链金融风险的评估、定价、监管和预警体系.

金融科技不断打破现有金融业边界，重塑供应链金融运作模式的同时，给供应链带来更为复杂的挑战，加深供应链金融与社会经济环境的互动，由此产生新课题。本课题开展交叉视角下供应链金融概念分析和研究范式重构，通过借助文献计量软件解构供应链金融现有理论，梳理发展脉络，摸清新经济背景下供应链金融的内涵和外延，理清供应链金融风险研究的学理关系，完善供应链金融风险管理、低碳供应链金融与铁路供应链金融基础理论并构建研究框架，针对复杂环境下供应链协调机制和融资决策问题，运用Stackelberg博弈、Nash博弈和供应链契约优化机制，考虑供应链复杂性和需求不确定性，分析和设计复杂环境和不同供应链结构下供应链协调机制，开展复杂环境下供应链协调机制和融资决策优化；探究区块链架构下供应链金融运行机制，分析区块链技术与供应链金融架构的适配度，以及区块链技术的应用对供应链金融业务运行机制的影响，研究发现，在信任机制下，银行贷款利率下降的同时，供应链企业再投资收益率上升，企业的利润和长远发展得到保障，愿意与银行共享信息并进行长期战略合作融资，供应链金融主体间实现了互惠共赢；探索低碳供应链金融理论；依托铁路场景，开发铁路供应链金融应用产品，借助区块链、互联网等信息技术，研究铁路工程建设保理融资和支付模式设计问题，在此基础上开发了基于区块链的铁路工程保理融资平台，该研究成果的应用能加快铁路工程建设项目现金流量周转效率、保证现金流量稳定性和持续性，有效解决了铁路工程建设资金周转慢、风险大的问题；提出了一种基于工作量证明实现商业保理债权价值的认证方法，创新性地利用区块链技术促进了工作量全链条信息共享，实现了工作量融资的可视化，提高资金流转的效率。