DocumentCode :
3771952
Title :
Local Goverment Debt Risk Early Warning Algortithm Based on Fuzzy Analysis
Author :
Bingjie Chen;Yiping Liu
Author_Institution :
Nanjing Univ. of Aeronaut. &
fYear :
2015
Firstpage :
494
Lastpage :
499
Abstract :
Local government´s debt is now highly concerned by all levels of governments, it relates to the safety of China´s economy, the research discusses the early warning of the local government´s debt risk, It not only has theoretical significance but also has much more practical value. Based on the index selection of local government´s debt risk and determination of risk range, We build early warning model of the local government´s debt risk using the fuzzy comprehensive evaluation method, and apply the data of Jiangsu province to inspect the effectiveness of the early warning model, the research results show that the overall level of local government´s debt risk is controllable in Jiangsu province.
Keywords :
"Indexes","Economic indicators","Data models","Local government","Finance"
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Engineering Applications (ISDEA), 2015 Sixth International Conference on
Type :
conf
DOI :
10.1109/ISDEA.2015.129
Filename :
7462666
Link To Document :
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