DocumentCode
2930784
Title
National risk management structural framework in perspective of China Social Stability Risk Assessment
Author
Liu Ze-zhao ; Li Wen-jun
Author_Institution
Sch. of Public Policy & Manage., Xi´an Jiaotong Univ., Xian, China
fYear
2013
fDate
15-17 Nov. 2013
Firstpage
330
Lastpage
334
Abstract
In order to mitigate potential risks for large-scale engineering projects, various evaluating methods are conducted using both quantitative and qualitative tools. The paper examines social risks from the national engineering projects and puts forward a structural framework cited by the typical practice of China´s Social Stability Risk Assessment (SSRA) Program using the theoretical normative methodology. Combining specific content in China we present explicit functional explanation upon the formation mechanism and evolution models of social stability risk assessment, and furthermore implement a systematic technical review. Our theoretic models can reflect a number of practice issues as well as paradoxes for implementing SSRA in China. Conclusion is that only in a social risk-oriented response innovation SSRA can process complex social risk information, and carry on the comprehensive test of significance for multiple characters. The proposed framework provides a good tool and means of developing risk assessment upon engineering projects to help social risk mitigation.
Keywords
project management; risk management; social sciences; China social stability risk assessment; SSRA program; national engineering projects; national risk management structural framework; social risk mitigation; social risk-oriented response innovation SSRA; theoretical normative methodology; Decision making; Economics; Educational institutions; Government; Public policy; Risk management; Stability analysis; China; SSRA; framework; risk mitigation; social stability risk assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location
Macao
ISSN
2166-9430
Print_ISBN
978-1-4673-5247-5
Type
conf
DOI
10.1109/GSIS.2013.6714792
Filename
6714792
Link To Document