摘要
传统供应链融资在缓解中小微企业融资约束问题中发挥了重要作用,但仍存在过度依赖核心企业信用背书、风险穿透能力不足、真实性审查薄弱等问题。随着金融大模型等新一代生成式人工智能技术加快嵌入金融场景,其在多源数据整合、动态信用评估和智能决策优化等方面展现出巨大潜力。本文以金融大模型赋能中小微企业供应链融资为研究对象,从信息整合与信用评估体系重构、融资生态协同优化两个维度构建双重机制分析框架,并建立关于金融机构、中小微企业与核心企业三方演化博弈模型,结合Matlab数值仿真,考察三方博弈的演化稳定均衡路径。研究发现:无金融大模型赋能时,三方博弈系统收敛于低效率均衡;随着赋能强度提升,系统逐步呈现向三方协同共赢状态演化的趋势;当赋能强度超过一定阈值后,系统最终实现高效率演化稳定均衡。进一步分析表明,赋能强度、信用评估精度和协同效率是影响三方博弈系统演化方向的关键因素。本文从理论上拓展了数字技术赋能供应链金融的研究框架,从实践上为金融大模型在供应链融资场景中的应用推广、数字金融政策落地以及缓解中小微企业融资约束提供了参考。
Traditional supply chain finance has played an important role in alleviating financing constraints faced by micro,small and medium enterprises(MSMEs).However,it still suffers from excessive reliance on the credit endorsement of core enter⁃prises,limited risk penetration,and weak authenticity verification.As a new generation of generative artificial intelligence technolo⁃gies,financial large models are being rapidly embedded into financial scenarios and have demonstrated substantial potential in multi-source data integration,dynamic credit evaluation,and intelligent decision optimization.Against this backdrop,this paper investigates how financial large models empower supply chain finance for SMMEs.It develops a dual-mechanism analytical frame⁃work from two dimensions:information integration and the reconstruction of the credit evaluation system,and the optimization of fi⁃nancing ecosystem coordination.On this basis,a tripartite evolutionary game model involving financial institutions,SMMEs,and core enterprises is constructed,and MATLAB-based numerical simulations are employed to examine the evolutionary path toward stable equilibrium in the tripartite game.The results show that,in the absence of empowerment by financial large models,the tri⁃partite game system converges to a low-efficiency equilibrium.As the empowerment intensity increases,the system gradually exhib⁃its a tendency to evolve toward a coordinated and mutually beneficial state among the three parties.Once the empowerment intensity exceeds a certain threshold,the system ultimately reaches a high-efficiency evolutionary stable equilibrium.Further analysis indi⁃cates that empowerment intensity,credit evaluation accuracy,and coordination efficiency are the key factors shaping the evolutio⁃nary direction of the tripartite game system.The findings extend the theoretical framework of digital technology-enabled supply chain finance and provide practical references for promoting the application of financial large models in supply chain finance,implementing digital finance policies,and easing financing constraints for SMMEs.
作者
吴勇民
Wu Yongmin(Center for Quantitative Economics,Jilin University,Changchun 130012,China;School of Business and Management,Jilin University,Changchun 130012,China)
出处
《工业技术经济》
北大核心
2026年第4期16-29,共14页
Journal of Industrial Technology and Economy
基金
国家社会科学基金项目“智慧供应链金融赋能实体经济高质量发展的理论机制与实现路径研究”(项目编号:24BJL109)。
关键词
人工智能
金融大模型
中小微企业
供应链融资
演化博弈
仿真分析
融资约束
金融机构
artificial lntelligence
financial large models
Micro,Small and Medium Enterprises(MSMEs)
supply chain finance
evolutionary game theory
simulation analysis
financing constraints
financial institutions
