DocumentCode :
555517
Title :
Analysis on risk status of local government financing platform based on GA-PSO mixed planning algorithm
Author :
Li, Kun ; Cao, Wu-jun ; Hu, Xing-wang
Author_Institution :
Inst. of Manage. Sci. & Decision, Zhengzhou Univ., Zhengzhou, China
Volume :
Part 1
fYear :
2011
fDate :
3-5 Sept. 2011
Firstpage :
47
Lastpage :
51
Abstract :
With the government´s increasing marketing regulation for real estate and tightening monetary policy, the risk of local government financing platform is increasingly prominent. This paper makes a quantitative analysis for the risk of local government financing platform based on GA-PSO mixed planning algorithm, on the condition that the risk has been qualitatively proved in the educational circles. In this paper, firstly status and cause of risk for the platform, and then GA-PSO mixed planning algorithm is introduced for quantitatively analyses of current situation of the local government financing platform over the country. At last, by analyzing the results, the conclusion is made that the risk of local government financing platform is quite high and measures should be taken immediately for prevention and governance1.
Keywords :
genetic algorithms; marketing; particle swarm optimisation; property market; public finance; GA-PSO mixed planning algorithm; educational circles; local government financing platform; marketing regulation; monetary policy; real estate; risk status analysis; Algorithm design and analysis; Genetic algorithms; Indexes; Local government; Planning; Training; Mixed planning algorithm; finance platform; local government; risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
Type :
conf
DOI :
10.1109/ICIEEM.2011.6035102
Filename :
6035102
Link To Document :
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