• DocumentCode
    127124
  • Title

    Risk prediction and prevention of regional strategic emerging industries: On the basis of fuzzy evaluation and sensitivity analysis

  • Author

    Liu Tie ; Wang Jiu-yun

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    17-19 Aug. 2014
  • Firstpage
    786
  • Lastpage
    793
  • Abstract
    China has established developing strategic emerging industries as a national strategy in order to gain a technological advantage when facing challenges from international competition. However, the development of these industries is associated with uncertainty and a considerable amount of risk as these industries are inevitably characterized by emergence. This paper analyzed various risks residing in the development of regional strategic emerging industries such as accident risk, environment risk, technology risk, market risk, profit risk, financing risk and management risk. A method for identifying and evaluating industry risks was proposed. To be specific, industries facing risks are identified using the fuzzy clustering method, a model for static risk evaluation is built on hierarchy analysis and fuzzy comprehensive evaluation. A risk estimation model is created which incorporates the sensitivity coefficient. This paper also validated models through empirical analysis and provides suggestions on strategies for avoiding risks of industries.
  • Keywords
    fuzzy set theory; regional planning; risk analysis; sensitivity analysis; strategic planning; China; accident risk; clustering method; environment risk; financing risk; fuzzy evaluation; hierarchy analysis; management risk; market risk; profit risk; regional strategic emerging industries; risk prediction; risk prevention; sensitivity analysis; technology risk; Accidents; Economics; Environmentally friendly manufacturing techniques; Indexes; Industries; Pollution; Security; fuzzying evaluation; regional strategic emerging industries; risk estimation; risk prevention;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science & Engineering (ICMSE), 2014 International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4799-5375-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2014.6930309
  • Filename
    6930309