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
Link To Document :
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