FOREIGN DIRECT INVESTMENT IN CHINESE INDUSTRIES: A GENETIC ALGORITHM APPROACH

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.

关键词： FDI GA Chinese industries

作者: QI CHUN JHON C.S.TANG

作者单位: School of Management and Economics, Beijing Institute of Technology, Beijing, 10008I,China School of Management, Asian Institute of Technology, Bangkok, 12120, Thailand

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 938-944

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）