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