摘要
本文集成随机突变理论和弹性理论,探讨了电商平台信用监管的弹性测度问题。首先,构建监管部门和平台企业信用监管演化博弈模型,引入白噪声和It^o随机微分方程建立随机动力系统;进一步,结合随机突变理论,用极限概率密度函数描述系统的均衡表现,引入弹性指标定量表述系统均衡态改变前对扰动的吸收能力,仿真模拟系统参数变化对弹性的影响。研究表明:(1)监管主体从积极监管到消极监管的结构性突变源于变量组合经过分歧点集合时产生的自组织相变;(2)监管系统弹性演化过程与随机突变过程一致,突变的发生会导致监管弹性迅速改变;(3)上级政府惩罚力度对弹性影响显著,两者呈“U”形关系;在满足“突变”临界值约束下,超额收益对弹性有负向影响,监管主体协同度和公众媒体参与度对弹性有正向影响。本研究将电商平台信用监管研究拓展到弹性研究领域,为平台监管预警和政策优化提供思路;同时,为弹性理论和突变论的集成提供方法论尝试。
With the development of the Internet economy,e-commerce platforms such as Taobao,DiDi,and Uber have received widespread attention.These enterprises have changed people′s lifestyles and have played an important role in promoting consumption and employment.However,the strong growth of the platform market comes with issues and scandals,including false or misleading information,poor quality,fake products,and counterfeits.The increasing number of such disputes has harmed the interests of consumers and has had a significant adverse social impact.Thus,how to achieve effective e-commerce platform supervision has become the focus of the government,practitioners,and researchers.E-commerce platform credit supervision requires collaboration and coordination between the government and e-commerce platforms.However,the collaborative regulation system is vulnerable and subject to various internal and external factors,such as interaction attributes,utility perception,and incentives.Resilience research explores whether changes in these factors lead to sudden changes in participants′strategy selection,where resilience refers to the ability of the regulation system to maintain the current equilibrium state.Probing the mechanism of credit supervision resilience evolution can help capture the nonlinearity and randomness in the platform-government relationship from a quantitative perspective and provide decision support for developing credit supervision strategies.However,existing research on e-commerce platform credit supervision focuses on finding equilibrium strategies and their existence conditions,and“resilience”is rarely mentioned.In addition,existing resilience research is rarely based on a catastrophe perspective,and sudden changes in credit supervision are difficult to describe.Therefore,this study integrates resilience theory and stochastic catastrophe theory to propose a catastrophe-based resilience measure for the collaborative regulation system,investigate how system resilience is affected by how the system is regu
作者
危小超
佘其平
聂规划
WEI Xiaochao;SHE Qiping;NIE Guihua(School of Economics,Wuhan University of Technology,Wuhan 430070,China)
出处
《管理工程学报》
CSCD
北大核心
2024年第1期266-280,共15页
Journal of Industrial Engineering and Engineering Management
基金
国家自然科学基金项目(71601151)
教育部人文社会科学项目(16YJC630131)。
关键词
电商平台
信用监管
随机突变理论
弹性
E-commerce platform
Credit supervision
Stochastic catastrophe theory
Resilience
