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
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