• DocumentCode
    2229297
  • Title

    Construction of the Early-warning Systems with Debt Risk Indexes for the Local Government and Demonstration Analysis: Take State of Yunnan Province for Example

  • Author

    Cairen, Nie ; Guangbing, Zhang

  • Author_Institution
    Sch. of Econ. & Manage., Yunnan Normal Univ., Kunming, China
  • Volume
    4
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    In this paper, on the basis of previous studies derived the local government debt risk assessment model, established risk prediction methods by using BP artificial neural network model, and analyzed this method through an example. So provide a set of scientific method to evaluate the local government debt risk and predict the short-term risk. This is useful for adoption effective means to control of the local government debt risk.
  • Keywords
    alarm systems; backpropagation; local government; neural nets; public finance; risk analysis; BP artificial neural network; debt risk index; early warning system; local government debt; risk assessment model; risk prediction method; BP neural network; Local government debt; analytic hierarchy; risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8829-2
  • Type

    conf

  • DOI
    10.1109/ICIII.2010.510
  • Filename
    5694865