• DocumentCode
    2967331
  • Title

    Research on the early warning mechanism for corruption risk in Chinese clean-government promotion

  • Author

    Zhu Xiao-ning ; Zhang Meng-meng

  • Author_Institution
    Sch. of Political Sci. & Public Adm., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    2230
  • Lastpage
    2235
  • Abstract
    As corruption becomes more complicated and concealed, anti-corruption, which is a part of the clean-government promotion, meets greater challenges. The success of anti-corruption lies in the prevention measure whose key point is to understand the trend and discover the symptoms of the corruption promptly. Along with the rules of development of corruption, the corruption risk during the operation of power can be detected then warning will be made. Starting from the rules of the development of corruption, this thesis explores the early warning on corruption risk mechanism and preliminarily establishes an early warning on corruption mechanism covering information collection system, evaluation system, risk identification system, warning and feedback system. And in the context of corruption in China, it proposes some principles and routes for establishing this mechanism, in hope for making some contribution to Chinese clean-government promotion.
  • Keywords
    feedback; government; information systems; risk analysis; Chinese clean-government promotion; anti-corruption; corruption risk; early warning mechanism; evaluation system; feedback system; information collection system; risk identification system; Educational institutions; Ethics; Government; Inspection; Market research; Monitoring; Presses; clean-government promotion; corruption; corruption risk; early warning mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2013 International Conference on
  • Conference_Location
    Harbin
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4799-0473-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2013.6586573
  • Filename
    6586573