IDEAS home Printed from https://ideas.repec.org/a/jfr/bmr111/v2y2013i4p129-135.html
   My bibliography  Save this article

Early Warning Model of Local Governments¡¯ Debt Risk in China Based on the Financial Perspective

Author

Listed:
  • Feng Zheng
  • Feng Ye

Abstract

By studying Chinese government local debt scale, analyzing cause and risk, we can draw the conclusion ¡°local government debt in China is brewing a crisis. Apparently, it is the crisis in the financial control, but it may not only financial control crisis, and it may lead to financial overall crisis, or even cause the Government¡¯s overall governance crisis.¡± Finally, using multilevel structure analysis and by the means of index system made from economics, social uncontrollable exogenous factors, this paper puts forward the debt risk assessment consist of ¡°converse index¡± and ¡°positive indication¡± . At the same time, it uses the Delphi method to weight index for the purpose of reducing subjective measurement and evaluation. On this basis, we hope to give same suggestion to the government for avoiding the debt risk.

Suggested Citation

  • Feng Zheng & Feng Ye, 2013. "Early Warning Model of Local Governments¡¯ Debt Risk in China Based on the Financial Perspective," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(4), pages 129-135, December.
  • Handle: RePEc:jfr:bmr111:v:2:y:2013:i:4:p:129-135
    as

    Download full text from publisher

    File URL: http://www.sciedupress.com/journal/index.php/bmr/article/download/3830/2272
    Download Restriction: no

    File URL: http://www.sciedupress.com/journal/index.php/bmr/article/view/3830
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. L. Lin & J. Piesse, 2004. "Identification of corporate distress in UK industrials: a conditional probability analysis approach," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 73-82.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guanping Zhou, 2019. "Financial distress prevention in China: Does gender of board of directors matter?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(6), pages 1-8.
    2. Korol, Tomasz, 2013. "Early warning models against bankruptcy risk for Central European and Latin American enterprises," Economic Modelling, Elsevier, vol. 31(C), pages 22-30.
    3. Tseng, Fang-Mei & Lin, Lin, 2005. "A quadratic interval logit model for forecasting bankruptcy," Omega, Elsevier, vol. 33(1), pages 85-91, February.
    4. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    5. Malcolm J. Beynon & Mark A. Clatworthy & Michael John Jones, 2004. "The prediction of profitability using accounting narratives: a variable‐precision rough set approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 12(4), pages 227-242, October.
    6. Khan, Muhammad Kamran & Nouman, Mohammad & Imran, Muhammad, 2015. "Determinants of financial performance of financial sectors (An assessment through economic value added)," MPRA Paper 81281, University Library of Munich, Germany.
    7. Lin Lin & Hsien-Chang Kuo & I-Liang Lin, 2008. "Merger and optimal number of firms: an integrated simulation approach," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2413-2421.
    8. Julia A. Tarasova & Ekaterina S. Fevraleva, 2021. "Forecasting of Bankruptcy: Evidence from Insurance Companies in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 4, pages 75-90, August.
    9. Malcolm J. Beynon, 2005. "Optimizing object classification under ambiguity/ignorance: application to the credit rating problem," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(2), pages 113-130, June.
    10. Tomasz Korol, 2020. "Assessment of Trajectories of Non-bankrupt and Bankrupt Enterprises," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1113-1135.
    11. Muqaddas Khalid & Qaisar Abbas & Fizzah Malik & Shahid Ali, 2020. "Impact of audit committee attributes on financial distress: Evidence from Pakistan," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-19, March.
    12. Tomasz Korol, 2018. "The Implementation of Fuzzy Logic in Forecasting Financial Ratios," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(2), June.
    13. Alberto Tron & Maurizio Dallocchio & Salvatore Ferri & Federico Colantoni, 2023. "Corporate governance and financial distress: lessons learned from an unconventional approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 425-456, June.
    14. Şaban Çelik & Bora Aktan & Bruce Burton, 2022. "Firm dynamics and bankruptcy processes: A new theoretical model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 567-591, April.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:bmr111:v:2:y:2013:i:4:p:129-135. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Simon Lee (email available below). General contact details of provider: http://bmr.sciedupress.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.