双层委托模式下政府采购合同融资激励机制研究
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

F 830

基金项目:

国家自然科学基金资助项目(71840003,71632008);上海市自然科学基金资助项目(19ZR1435600)。


Simulation analysis of incentive mechanism of government procurement contract financing based on two-layer principal-agent model
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对中小企业融资难和供应链金融中现有的道德风险问题,考虑利用委托代理理论为财政部提出的政府采购合同融资模式制定适当的激励契约。运用委托代理理论构建政府采购部门、第三方物流企业、中标的中小企业的双层委托代理模型,并对其进行分析求解,在上述解的基础上运用Matlab软件进行仿真实验,验证了不同参数变化对激励契约变化的影响。研究发现,信息不对称情况下企业的努力水平小于信息对称情况下的努力水平;提高企业的努力产出系数、减少企业的努力成本系数可以提高企业的努力水平,同时可以提高企业可得的激励报酬;降低企业的风险规避度、密切关注市场外的外生随机因素,都可以减少总代理成本的产生。

    Abstract:

    In view of the difficulty of financing for small and medium-sized enterprises and the moral risk in supply chain finance, the principal-agent theory was adopted to make appropriate incentive contracts for the financing mode of government procurement contracts proposed by the Ministry of finance. Based on the principal-agent theory, a two-layer principal-agent model of government procurement departments, third-party logistics enterprises and small and medium-sized enterprises winning the bid was constructed. The model was then analyzed and solved. Based on the above solutions, Matlab software was used to conduct simulation experiments to verify the influence of different parameters on the change of incentive contract. It is found that the enterprise's effort level under the condition of information asymmetry is less than that under the condition of information symmetry. By increasing the effort output coefficient and decreasing the effort cost coefficient, the effort level and incentive remuneration can be improved. By reducing the risk aversion of enterprises and paying close attention to exogenous random factors outside the market, the generation of general agency costs can be reduced.

    参考文献
    相似文献
    引证文献
引用本文

黄海涛,刘勤明,杨晓燕.双层委托模式下政府采购合同融资激励机制研究[J].上海理工大学学报,2022,44(1):85-93.

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-05-28
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-03-23
  • 出版日期:
文章二维码