DocumentCode
467721
Title
Foreign Direct Investment in Chinese Industries: A Genetic Algorithm Approach
Author
Chun, Qi ; Tang, Jhon C S
Author_Institution
Beijing Inst. of Technol., Beijing
Volume
2
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
938
Lastpage
944
Abstract
This paper will propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminate analysis will be used as a parameter evaluation method for the analysis of inward foreign direct investment (FDI) in China. Results indicate that different industries various in determinants of FDI inflows. Each of them should develop their competitive attractive factors in attracting FDI inflows.
Keywords
economics; foreign exchange trading; genetic algorithms; investment; Chinese industry; discriminate analysis; foreign direct investment; genetic algorithm; parameter evaluation; variable selection algorithm; Algorithm design and analysis; Biological system modeling; Cybernetics; Fault detection; Genetic algorithms; Input variables; Investments; Machine learning; Macroeconomics; Technology management; Chinese industries; FDI; GA;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370277
Filename
4370277
Link To Document