对政府监督下的基于平台的企业智能供应链融资的模型分析
Weihua Liu1, Zhixuan Chen1, Tingting Liu1
1College of Management and Economics, Tianjin University No, Nankai District, 92, Weijin Road, Tianjin, 300072 China.
概括
智能供应链融资帮助中小企业 (SMEs) 面临融资挑战. 这项研究模拟了主导和合作模式,以优化平台战略和政府监管,以确保稳定的融资.
科学领域:
- 经济学 经济学 经济学
- 金融技术 金融技术
- 供应链管理 供应链管理
背景情况:
- 由于COVID-19大流行,中小企业的融资困难更加严重.
- 智能供应链金融提供了一个解决方案,但面临着诸如不稳定的中小企业参与和最佳平台开发模式等挑战.
- 现有的智能供应链融资监管措施是不够的.
研究的目的:
- 介绍和分析两个智能供应链金融模型:主导和合作模型.
- 确定基于平台的核心企业的最佳发展模式.
- 为智能供应链融资提出有效的政府监管措施.
主要方法:
- 构建两个进化游戏模型:三方模型 (政府,基于平台的核心企业,中小企业) 和四方模型 (政府,金融机构,基于平台的核心企业,中小企业).
- 分析不同融资模式下的参与者战略和稳定性.
- 审查平台模式选择和政府监督策略.
主要成果:
- 缺乏高智能平台的核心企业选择合作模式;其他人更喜欢主导模式.
- 主导模式需要严格的政府监督,以稳定发展智能供应链金融.
- 政府可以通过税率和补贴平衡主导和合作模式.
结论:
- 主导模式和合作模式之间的选择取决于平台的情报能力.
- 有效的政府监管对于占主导地位的智能供应链金融模式的成功至关重要.
- 财政政策可以用来实现两种融资模式之间的市场平衡.
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