Foreign direct investment in Chinese industries:A genetic algorithm approach

被引：0

作者：

Chun, Q. I. ^{[1
]}

Tang, Jhon C. S. ^{[2
]}

机构：

[1] Beijing Inst Technol, Sch Management Econ, Beijing 100081, Peoples R China

[2] Asian Inst Technol, Sch Management, Bangkok 12120, Thailand

来源：

PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年

关键词：

FDI; GA; Chinese industries;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：938 / +

页数：3

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